Zooplankton are vital to the marine food web, supplying nutrients and energy from primary producers to secondary consumers. During Diel Vertical Migration (DVM), zooplankton travel between depth and the surface during day and night to capitalize on food and avoid predation. This study investigated diel differences in zooplankton community composition at two locations, one exposed and one protected, in the San Juan Channel, WA over four days in September 2023. Zooplankton were collected using net tows from surface waters at both sites during day and night times. Samples were analyzed using a stereoscope and different taxonomic groups were counted. Copepods were the most abundant zooplankton taxa at both locations, with mean abundances up to 1000 individuals per cubic meter. At the exposed site, there was a significantly higher (p<0.05) abundance of zooplankton at night versus during the day. The exposed site had significantly higher diversity than the protected site at night (p<0.05). At both locations, species richness was significantly higher (p<0.05) at night compared to day. The exposed location also had significantly higher richness (p<0.05) compared to the protected location during the day. Our results indicate that zooplankton abundance and diversity in surface waters of the San Juan Channel are controlled by DVM, and differences in locations perhaps due to exposure to different flow regimes. This study reinforces the flexibility of zooplankton community composition and emphasizes the importance of understanding factors that influence changes in the base of the marine food web.

Evidence-based changes to instruction can lead to better student outcomes and performance. For this reason, instructors are interested in collecting data about student experience and outcomes. However, the process of data collection and analysis can be time-intensive for instructors, making it challenging to gather data necessary to improve their classes. Moreover, when data collection does happen, it often centers quantitative data, but this systematically devalues students' experiences. Therefore, we sought to develop a tool that aids instructors in processing and analyzing qualitative data pertaining to students’ class experiences. As part of our research project, we have developed an R-shiny based data processing app that integrates Artificial Intelligence to summarize findings from open response questions on student surveys. This tool is intended to alleviate the time-intensive nature of analyzing student responses to open-ended survey questions. In order to validate the accuracy of AI-generated summaries, we compared them to manual summaries generated using in vivo qualitative coding methods. We find that our app generates responses that are comparable to the manually generated summaries. The summaries include prominent themes along with details about student experiences within those themes. With this tool, instructors can gather real-time data, even in large classes, eliminating the concern of the time-intensive process of manually reviewing responses. By developing this tool, we hope to empower instructors to explore diverse questions that provide them with valuable insights on how to optimize the structure of their classes to improve student experience and outcomes.

Individuals exposed to chronic, severe, and/or inescapable stress may adopt dissociation as a coping mechanism to alleviate suffering. In dissociation, individuals report losing connection to their bodies, reality, memories, and more. Dissociative experiences are hallmark symptoms of psychiatric disorders such as Post-Traumatic Stress Disorders (PTSD) and Dissociative Identity Disorder (DID), which have a high comorbidity with personality disorders. Maladaptive personality patterns can be thought of as chronic patterns of behavior that are resistant to change, which often are heavily present in brain systems that focus on habitual learning. However, the interactions between dissociative experiences and action-learning mechanisms are still poorly understood. In this project, we review the history of dissociation and action-learning research to synthesize a model of how dissociative mechanisms may interact with action-learning mechanisms as a cause for the development of pathological behavioral patterns and even multiple personalities. We propose employing the PRISMA method to select relevant literature from PubMed or other medical databases systematically and conduct a comprehensive review across the spectrum of dissociative disorders. By utilizing the Dissociative Experiences Scale (DES) scores as a measure method, we aim to identify action-learning brain region changes and explore how these changes correlate with dissociative symptoms; thus far, we’ve found that DID, dissociative disorders, and PTSD have the highest DES mean scores. Beyond this, our findings show that in these patients with different kinds of dissociative disorders, the hippocampus and amygdala are smaller and the volume of the palladium is typically larger. When combined with future findings and discoveries, the relationships between dissociative experiences and action-learning mechanisms will be better understood.

It is well established that formerly incarcerated individuals face stigma upon their return to society, negatively impacting reintegration efforts and life outcomes. Existing literature highlights the significance of stigma in influencing reentry outcomes, emphasizing gender-specific challenges faced by formerly incarcerated individuals, but fails to quantitatively study how these gender stereotypes impact public stigma. Although some research does address variations in the formerly incarcerated population and their influence on public opinion, these studies rarely focus on gender. My study directly explores how gender and stigma interact throughout reentry, by quantitatively investigating public perceptions of formerly incarcerated individuals in Washington State. I develop vignettes about hypothetical formerly incarcerated individuals that vary key facts between participants to examine the extent to which gender, offense type, and post-release behavior influence the public stigma of incarceration. Respondents are randomly assigned these vignettes to evaluate their varying perceptions, unveiling whether gender leads to differential perceptions and therefore, differential treatment in the daily lives of formerly incarcerated individuals. My preliminary expectations are that the public will value relationship-building (a traditionally feminine ideal) more for formerly incarcerated women than for formerly incarcerated men. Additionally, I hypothesize that respondents will exhibit a greater willingness to interact with formerly incarcerated women as compared to their male counterparts, due to negative stereotypes about male aggression and criminality. The implications of this research extend to a broader understanding of the obstacles faced by individuals with criminal records in achieving successful rehabilitation. My analysis will help create more targeted and effective reintegration support policies by uncovering how public stigma impacts the reentry outcomes for women differently than for men. Addressing these dynamics is crucial for fostering inclusivity and dismantling barriers that impede the social and economic participation of formerly incarcerated individuals.

Air pollution is a key component to understanding the Public Health of populations globally, with Diesel Exhaust Particles (DEP) being a significant contributor to traffic-related air pollution. Exposure to DEPs varies across populations and is therefore crucial to understanding the continual impacts of traffic-related air pollution on the public. Prior research has indicated that the formation of Amyloid-𝛽 (A-𝛽) plaques and activation of the  nucleotide-binding domain, leucine-rich–containing family, pyrin domain–containing-3 (NLRP3) inflammasome is linked with the development of Alzheimer’s disease (AD) later in life. AD is a form of progressive disease that impairs memory and other cognitive functions and impacts the lives of tens of millions of people globally. This study aims to confirm the linkage between exposure to DEP and memory impairment through NLRP3 inflammasome activation, utilizing an animal model to investigate a potential increase in AD later in life. We exposed male and female low-density lipoprotein receptor knockout (LDLR KO) mice chronically to inhaled DEP or filtered air as a control for 18 weeks. We then utilized the Object Location Memory (OLM) and Object Recognition Memory (ORM) behavioral tests to investigate the immediate impact of multi-week DEP exposure on short-term memory, another indicator in AD progression. Afterward, we sacrificed the mice and harvested a variety of tissues, including the brain. I conducted Immunohistochemistry (IHC) on cryosections of the exposed and non-exposed brain to assess DEP-induced AD-like brain architectural changes and to quantify the impact of DEP exposure in activating the NLRP3 inflammasome, ultimately leading to neurotoxicity, and to the development and progression of AD. Confirming the association between diesel exhaust and the NLRP3 pathway provides a potential therapeutic target in populations at an elevated risk for AD.

Individuals exposed to chronic, severe, and/or inescapable stress may adopt dissociation as a coping mechanism to alleviate suffering. In dissociation, individuals report losing connection to their bodies, reality, memories, etc. Dissociative experiences are hallmark symptoms of psychiatric disorders such as Post-Traumatic Stress Disorders (PTSD) and Dissociative Identity Disorder (DID), which has high comorbidity with personality disorders. Maladaptive personality patterns can be thought of as chronic patterns of behavior that are resistant to change. Brain systems are known to underlie these sorts of habitual learning. The interactions between dissociative experiences and action-learning mechanisms are still poorly understood. In this project, we review the history of dissociation and action-learning research and synthesize a model of how dissociative mechanisms may interact with action-learning mechanisms to develop pathological behavioral patterns and even multiple personalities. We propose employing the PRISMA method to select relevant literature from PubMed or other medical databases systematically and conduct a comprehensive review across the spectrum of dissociative disorders. By utilizing the Dissociative Experiences Scale (DES) scores as a measure method, we aim to identify action-learning brain region activity (BOLD signal) and volume changes and explore how these changes correlate with dissociative symptoms; and we’ve found that DID, Dissociative Disorders, and PTSD has the highest DES mean scores. Beyond this, our findings show that in these patients with different kinds of dissociative disorders, for the patients with different kinds of dissociative disorders, their Hippocampus and Amygdala are smaller while their Pallidum Volumes in their brains become typically larger. Despite this relationship having elementary processes, combining with future findings and discoveries, the relationships between dissociative experiences and action-learning mechanisms will be better understood.

Every year, substance abuse, mental disorders, and psychotic behavior become more and more severe, especially in the local communities of Seattle. Our research explores the interconnection between psychology and the utilization of modern computer vision and emotion recognition tools to analyze human semantics/behavioral patterns in order to comprehend the underlying dynamics that lead to these behaviors and ultimately, spearhead efforts for prevention. As a computer science researcher, I employ advanced machine learning algorithms built upon open source programs to track and interpret gestures, facial expressions, and body language in video data. By filtering the data through a database and comparing emotions through statistical analysis in similar individuals, I am able to uncover nuanced patterns in behavior and emotion that a human researcher would otherwise not notice. While the study is ongoing, our current data illustrates correlations between specific gestures, facial expressions, and emotional states in hallucinogenic use. Though these individuals exhibit typical behavior of substance use, they have different backgrounds and contexts that lead to unique obscure changes in emotion and behavior, and our program allows us to identify and analyze these transformations that current medical knowledge overlooks. These findings hold promising implications for informing future research directions and intervention strategies across multiple domains, from understanding human behavior in social interactions to enhancing human-computer interfaces.

The expression of prosocial behavior holds significance across various species, and its disruption stands out as a characteristic symptom in numerous neurodevelopmental and neuropsychiatric disorders such as autism, schizophrenia, and depression. Neuronal activity in the nucleus accumbens, particularly modulated by the neurotransmitter- dopamine, plays a pivotal role in regulating reward-motivated behavior towards both food and social interaction. Although the influence of dopamine on social behavior is extensively researched, there exists a notable gap in our understanding of neuronal activity within the nucleus accumbens during social interactions. In this study, a viral vector was employed to induce the expression of a genetically encoded fluorescent calcium sensor, coupled with mini-scope imaging, to observe calcium dynamics in the nucleus accumbens. The recording of calcium dynamics occurred during an operant task where an experimental mouse pressed a lever to interact with a social partner or in separate sessions to receive a food reward. Our investigation revealed distinct subpopulations of neurons within the striatum that specifically encode food reward, as opposed to other discrete cues or actions associated with the task. The insights gained from this research contribute to a more comprehensive understanding of how signals related to general reward-motivated behavior and prosocial behavior may contribute to disruptions observed in social behavior, particularly in disorders characterized by impaired prosocial behavior.

Mutations in phosphodiesterase 6 (PDE6) underlie photoreceptor degeneration through cyclic guanosine monophosphate (cGMP) accumulation, triggering a series of down-stream processes, which eventually kill photoreceptors. We hypothesize that knocking out inosine monophosphate dehydrogenase 1 (IMPDH1), the rate-limiting enzyme in de novo guanine synthesis, will rescue cell death caused by PDE6 mutations. Supporting evidence from a mouse mutant model (rd10) suggests that inhibiting IMPDH1 pharmacologically delays photoreceptor degeneration (Yang, 2020). Our procedure for this experiment is as follows. Fish heterozygous for impdh1a and pde6c mutations are mated to produce fish that are double homozygotes. Fish homozygous for mutations in both the cone-specific pde6c and the impdh1a genes are genotyped and embedded for histological analysis of the retina. Histology is examined on days 3,5, and 7 post-fertilization (dpf) for cone degeneration. To date, we have genotyped our two mutant lines. Normally, pde6c^-/- fish have severe cone photoreceptor degeneration at 5 dpf and impdh1a^-/- fish show no signs of photoreceptor degeneration even as adults. If degeneration is rescued, the double knockout larvae should retain similar photoreceptor nuclei counts to wildtype fish at all time points. Demonstrating that IMPDH1 inhibition rescues PDE6 deficiency would provide proof-of-concept for the therapeutic potential of IMPDH1 targeted inhibition for the treatment of photoreceptor degeneration due to cGMP imbalance.

This essay dives into three key stories: the myth of Pygmalion and his statue from Ovid's Latin epic Metamorphoses, the story of Acis, Galatea, and Polyphemus also from Metamorphoses, and Madeline Miller's novella Galatea. The major factor that these stories have in common is the overlying theme of male desire, and the consequences of not being able to attain that desire, typically in the form of control or violence. I analyze the literary choices made by both Ovid and Miller, and how they characterize their male characters in juxtaposition with their female characters. I take these analyses and connect them to the modern phenomenon of the Internet "Incel", which is a colloquial term for "involuntary celibate"— an online community of avid misogynists. My main methodology is utilizing critical sources by feminist classicists such as Donna Zuckerberg in conjunction with research studies done on male-dominated online forums to understand how misogynistic rhetoric is formed out of male desire. My essay focuses on Pygmalion and Polyphemus as prototypical Incels, and how this sort of misogyny and desire for control over women has a long history in popular media, and emphasizes the role that the classics play in modern day sexism.

Pembrolizumab (brand name KEYTRUDA), is a monoclonal antibody therapy classified as an immune checkpoint inhibitor, a type of immunotherapy that works by facilitating the detection of cancer cells by T cells. Specifically, it blocks the PD-1 pathway that cancer cells use to suppress and evade the immune system. With neoadjuvant-adjuvant treatment, patients receive systemic therapy both before and after the surgical resection of their tumor(s). There is limited research evaluating the association between tumor responses (changes in tumor measurements) and survival time with neoadjuvant anti-PD-1 treatment. In this study, I analyzed the association between tumor measurements and event-free and overall survival in a clinical trial of patients receiving neoadjuvant-adjuvant anti-PD1-therapy. Event-free and overall survival were estimated using the Kaplan-Meier method, and associations with RECIST tumor size were evaluated using martingale residual plots and Cox proportional hazards regression models. In this study, I found significant associations between event-free survival and baseline tumor burden and changes (quantitative and categorized) in tumor size between baseline and the end of neoadjuvant therapy. Increases in tumor size were associated with a lower 2-year event-free survival. Larger values of baseline tumor burden were significantly associated with event-free survival but were not significantly associated with overall survival. The findings from this study may serve to better inform clinicians on making prognoses for patients on anti-PD-1 therapy and indicate a need for more research to be done on associations between tumor size and overall survival outcomes.

Cells' ability to efficiently replicate their genomes is essential for regulating chromosomal division and maintaining chromosome integrity.  Defects in any of these cellular processes may cause genomic instability, potentially leading to cancer.  The Chaos3 allele in the yeast Saccharomyces cerevisiae is a single base pair change causing an amino acid substitution in the Mcm4 protein.  Mcm4, a component of the replicative helicase, is recruited to replication origins to unwind double stranded DNA and initiate replication.  Chaos3 is in a region of MCM4 that is highly conserved across eukaryotes; while mutations in conserved regions are generally non-viable, Chaos3 is a viable allele that causes genomic instability, leading to elevated cancer rates in mice.  In S. cerevisiae, Chaos3 decreases early firing of the autonomously replicating sequences (ARS) where DNA replication begins.  Chaos3 does not affect all early firing ARSs in the genome; rather, a large proportion of origins near centromeres, thereby delaying replication of those centromeres.  Essential for chromosome segregation, the centromere is the location where spindle fibers attach to pull apart sister chromatids during cell division.  I hypothesize that this delay in centromere replication results in chromosomal instability, including the loss of a chromosome.  I am using CRISPR guided cutting directed by a customizable guide RNA to replace centromeric adjacent ARS510, that has decreased firing levels in Chaos3, with unaffected, early firing ARS305, to see if firing levels in the mutants are affected based on ARS chromosome location (i.e., proximity to a centromere) or ARS sequence.  If replacing ARS510 with ARS305 restores early origin firing in this region this will confirm the Chaos3 mutation affects specific ARS sequences rather than ARS location on the chromosome.  Furthermore, if centromere replication delays are the cause of genomic instability in Chaos3, this ARS replacement should rescue chromosome loss.

Benthic foraminifera are single-celled organisms that are a useful proxy of environmental conditions. They can provide insights into water quality, sediment composition, and ecological changes. In the past, urban bays of Puget Sound developed chemical toxicity in sediments surpassing acceptable state limits. Recent mitigation efforts have brought most chemicals within limits. However, foraminifera health parameters continue to show signs of poor environmental conditions including increased test dissolution and decreased species richness and density. Studies on individual embayments are necessary to understand local variations and utilize foraminifera in an effective monitoring program. In this study, we investigated how the percentage of dissolved foraminifera varies based on distance from shore in Elliot Bay, Seattle. We obtained grab samples through the Washington Department of Ecology collected in 2021 from multiple sites in Elliot Bay. We processed the samples and picked up to 300 foraminifera from each sample then calculated the percentage of dissolved Elphedilla hannai, the most common calcareous species in Elliot Bay. Additionally, we reviewed foraminiferal densities, species richness, and diversity for distance from shore. We found that the percentage of dissolved Elphedilla hannai increased closer to shore and with decreased depth. These results suggest a spatial influence on the health of foraminifera.  As Elliot Bay is a major maritime hub, its shorelines are heavily industrialized, and areas both shallower and closer to shore may be experiencing higher levels of anthropogenic activities. This study highlights potential water quality gradients in urbanized embayments such as Elliot Bay, contributing to our overarching aim of understanding interactions between foraminiferal health and environmental factors in urbanized embayments.

Bilingualism has been shown to have numerous cognitive benefits, ranging from improved executive function to possible protection against neurodegenerative diseases. Structurally, early childhood bilingualism correlates with expanded subcortical regions, specifically the basal ganglia (BG), an area most famously involved in functions such as motor control. In this project, we explore possible domain-general effects of infant and early childhood bilingualism. Specifically, we investigate the effect of early childhood language environments on motor skills in the form of rhythmically controlled babbling. Audio recordings were made in infants’ natural environments using the LENA system. Infants’ own utterances were captured and preprocessed. From these data, I first calculated the ratios of language use in the environment (English versus Spanish), and from these ratios, I categorized infants into monolingual English, monolingual Spanish, and bilingual groups. To determine the rhythmicity of babbling, I isolated subjects’ utterances from the audio data based on criteria that define canonical babbling (e.g., CV syllable structure where C is supraglottal, 4 or more syllables, and so on). For the purposes of this project, we defined the perceptual center as the peak intensity of each syllable and used it to determine the duration between syllables, or inter-syllable duration. The variation of syllable duration was subsequently calculated. We anticipate more rhythmic (i.e. lower variability across inter-syllable duration) babbling in bilingual subjects than in monolingual English and Spanish subjects. However, in accordance with previous findings on early childhood language development, we do not necessarily expect to see differences in whether or not infants are in the canonical babbling stage based on language group. We expect these findings to contribute to the theory of domain-general benefits of early life bilingualism through the quantification of language development milestones.

The world’s oceans are witnessing a surge in plastic pollution, a consequence of human activities and the growing urbanization of coastal regions. Urban estuaries are complex habitats that are especially good at trapping sediment, carbon, and pollutants, such as plastics. However, our understanding of the extant of plastic accumulation within estuarine sediments remains limited. I determined the first quantification of the total amount of microplastics (>5 mm) in Puget Sound, WA – a heavily urbanized estuary – and identified deposition hotspots related to current hydrodynamics. To measure plastic concentrations, I collected both shoreline and shipboard sediment samples and density extracted microplastics using an NaI solution. Extracted plastics were counted, sized, and categorized under a microscope. To complement these plastic analyses, energy of the environment was determined using both grain size analysis and extraction of current velocities from LiveOcean, a hydrodynamic model of Puget Sound. I found that plastic concentrations are the highest near land-water interfaces, which are correlated with human population. The dominant source of microplastics came from fibers shed from clothing, giving a well-sorted particle size distribution. Furthermore, using the plastic concentration data I developed a predictive model of plastic distribution that relies on Puget Sound currents and could be adapted for other estuarine systems. Providing a comprehensive analysis of the sources and sinks of microplastics in main basin Puget Sound that can be used to inform preventative management on the negative impacts of urban waste.

This research project explores the relationship between community social capital and corporate gender diversity, focusing on female executives within S&P 1,500 firms. Previous studies have shown that it is important to have more women in top leadership roles in business organizations today because it provides different perspectives and facilitates various leadership styles, promoting innovation and driving performance. Unfortunately, during the sample period of 7 years between 2010 and 2017, only 8% of top executives in C-suit at S&P 1,500 firms were female. To understand why this is the case and suggest a way to improve this case of female underrepresentation in executive positions, I study the community social capital that fosters a culture of trust, cooperation, and mutual respect, which are foundational for creating inclusive work environments that value diversity. I hypothesize that substantial regional social capital promotes a higher representation of women in top management roles. I collected county-level social capital data from Penn State’s Northeast Regional Center of Rural Development (NRCRD) and gender diversity data from the WRDS ExecuComp database. To test my hypothesis, I conducted a regression analysis. Empirical results indicate that sample firms with greater exposure to higher community social capital are more likely to appoint women to top management positions, which allows them to make crucial decisions within the organization. This study highlights the impact of community dynamics on corporate policies and displays a new perspective on promoting gender diversity in leadership positions. This project intends to improve an individual learning experience by providing valuable insights into the interconnection between societal structures and corporate governance, concentrating on gender inclusivity.

Approaches to learning new languages and cultures, among other subjects, are ever-changing alongside advancements in technology. In this study, I examined the informal self-regulated English as a foreign language (L2) and intercultural learning of a native Japanese (L1) speaker through their interactions with social media platforms such as YouTube, Discord, and X (formerly known as Twitter). In an online semi-structured retrospective interview with "Yuki," a Japanese woman in her thirties, I queried three areas of informal online language and intercultural learning: 1) her language learning background and the various media she interacts with; 2) her perspective and attitude towards self-regulated learning, her motivations, and how this compares to formal learning; and 3) how her connections to multiple communities on various platforms have influenced her learning and outlook on life. This interview was conducted in Japanese, to allow Yuki to describe her thoughts and experiences as clearly as possible. Findings show the strong impact of online communities on Yuki's motivations and objectives. The global community she encountered offered plentiful opportunities to expand her outlook on life, from her views on pronunciation to the importance of identities. Through the internet, Yuki found others with similar learning goals and began hosting weekly online book club sessions, where individuals of varying English levels are able to develop skills in collaboration with one another despite never having met in person. Along with the possibility for self-directed informal learning, other forms of online content, such as podcasts, allow Yuki to freely teach and challenge herself to interact with everyday spoken English, such as slang and diverse dialects. Although this study only consists of one participant, findings show the tremendous developmental potential of online spaces for language learners. 

The inner ear is crucial for both hearing and balance and undergoes rapid changes during embryonic, fetal, and postnatal stages. Its complex structure poses challenges in studying auditory systems, especially the organ of Corti responsible for sound perception. Hair cells (HC’s) within the cochlea are essential for hearing, and their loss in mammals results in permanent deafness due to their inability to regenerate. We recently established Early B cell factor 1 (Ebf1) as an important factor for the development of the cochlea. Our lab’s work with conditional knockout (cKO) mouse models revealed that Ebf1 restricts sensory development within the cochlear duct. The Slc26a9-Cre Ebf1cKO model deletes on embryonic day (E) 9.5. We have seen over 2-fold increases in HC’s and their associated support cells (SCs). We have developed a tamoxifen-inducible Sox2Cre recombinase mice model for precise timing of genetic manipulation within the cochlea. Specific temporal activation of tamoxifen-inducible Sox2Cre recombinase in the cochlea will uncover critical regulatory time periods for the establishment of the sensory domain. Activation of tamoxifen-inducible Sox2Cre at embryonic day 11/12 only shows an increase in inner hair cells. These findings lead us to ask, what’s the critical window for Ebf1’s regulatory role in cochlear development? To determine the optimal window for Ebf1's regulatory role, I will activate the Cre expressed in Sox2 Ebf1-cKO mice with tamoxifen at different embryonic days (9-14) via oral gavage. Immunostaining experiments utilizing HC markers (Myo7a), inner HC markers (Vglut3), and SC markers (Sox2) will be conducted. I will quantify HC densities and cochlear length of Sox2 Ebf1-cKO and littermate control mice. Due to tamoxifen toxicity, samples will consist of embryonic day E18 specimens. Anticipated results include varying HC numbers, innervation and the presence of ectopic sensory patches. This study will offer valuable insight into the temporal dynamics of Ebf1's regulatory role.

Protists are single-celled eukaryotic plankton that are abundant and diverse in the surface ocean. Many of these protist species are motile often through the use of flagella or cilia. The gene expression of protists is closely synchronized with the daily cycle of light (diel), particularly through the activity of photosynthesis-related genes. However, there has been little investigation of which motility-related genes are expressed in open-ocean protists, among which species, and whether motility-related gene expression is also coupled with the diel cycle. This study aims to investigate the hypotheses that motility-related genes are highly expressed in protist communities, particularly among mixotrophs, and that their expression is synchronized with daytime light. To investigate motility-related gene expression of open-ocean protists throughout the diel cycle, triplicate eukaryotic metatranscriptomes, within the 0.2 – 100 μm size fraction, were collected from 15-m depth approximately every four hours for three days at 158 °W, 41.6 °N, located in the North Pacific Ocean. We annotated protein families (Pfams) present in the metatranscriptomes with Gene Ontology (GO) terms. Pfams were selected based on GO terms related to motility, such as flagella, motility, and cilia. This approach resulted in the examination of the expressions of 21 motility-related Pfams.

Vocabulary acquisition in children involves many cognitive processes, with semantic descriptions playing a potentially crucial role in word learning. Broader literature points to a positive impact of metacognitive strategies early in children’s learning. Additionally, studies have highlighted semantic descriptors in facilitating word acquisition. However, there is a lack of literature regarding the direct correlation between children's productions of semantic descriptions and success in word learning, which is the current focus. We examined the number of semantic descriptions produced by children alongside their corresponding word-learning performance to determine whether a relationship exists. We analyzed data from 33 participants ages 2.7 - 6.7 years (mean = 4.6 years, SD = 1.2) with an average Expressive Vocabulary Test-3 standard score of 120. Our team coded a total of 165 word-learning assessments from videos of participants engaging in a storybook listening activity where participants were exposed to novel words paired with objects, assessing their receptive and expressive word learning. Participants were asked to look at the objects, imitate the novel words in real-time, and both point to and label the associated objects after a delay. We recorded the number of times children made semantic descriptions (ex. “The gek is spiky”), total correct identifications (receptive performance), and total phonemes correctly imitated and labeled (expressive performance). For analysis, we tested the correlation between semantic descriptions and both receptive and expressive word learning scores. I hypothesize that a positive correlation between these scores will indicate that children who produce semantic descriptions find more success in word learning. I anticipate that our study will contribute to a better understanding of how semantic descriptions play a role in receptive and expressive word learning outcomes. Also, study findings could serve as a foundation for future research on how parents and educators might better support children’s vocabulary acquisition.

Rare Intracranial Tumors (RIT) are a heterogeneous group with unmet medical needs. Although infrequent in individuals, RIT affect millions of people who lack effective disease monitoring and treatment. Frequent chromosome gains and losses are common in cancer, leading to the upregulation of oncogenes and downregulation of tumor-suppressor genes, respectively. Somatic Copy Number Variations (CNVs) affect a greater fraction of the genome than single nucleotide polymorphisms (SNPs) and have been correlated to drug resistance and tumor progression, highlighting a potential prognostic value. Cell-free circulating tumor DNA (ctDNA), which are DNA fragments released by necrotic or apoptotic tumor cells can act as a noninvasive cancer biomarker, offering a potential alternative to invasive tissue biopsies. In the present work, we aim to establish the somatic CNV signature of tumor and matched ctDNA to identify non-invasive tumor-related CNVs that may serve as biomarkers for use in liquid biopsy. We performed Whole Exome Sequencing (WES) in gDNA isolated from tumor tissue and matching ctDNA of 15 patients with RITs (pituitary tumor (n=9), craniopharyngioma (n=2), and meningioma (n=4). Raw reads were assessed for quality (Trimmomatic, FastQC), following alignment against human reference genome GRCh38 (BWA). Aligned reads were sorted and subject to duplicate removal using Picard. CNV profiles will be generated using CNVkit tool. Data analysis and visualization will be performed using R and python. The most promising aspects of liquid biopsy in cancer applications are cancer screening and early diagnosis because they can lead to better survival results and less disease burden. At the end of this work, we hope to identify the CNV signatures shared between tumor tissue and ctDNA, provide novel insights into the pathophysiology of these RITs and ultimately, suggest promising biomarker candidates for liquid biopsy.

Including undergraduate peer facilitators (UPFs) in lectures can support students in large and often challenging introductory science courses. Our team decided to increase UPF involvement by creating BIOL113, an undergraduate-led companion course to BIOL180, the largest introductory Biology course at the University of Washington. This study is part of a larger project that assessed the overall experience of both UPFs and students, and this particular work focuses on the former. I investigated how BIOL113 contributed to the experience and development of UPFs.This study incorporated qualitative data from graduated and enrolled UPFs alongside UPF applicants. Through surveys, I explored personal, professional, and academic growth, leadership skills, program expectations, and a sense of belonging. My findings underscore the distinctive role of undergraduate-led programs in enhancing UPF experiences. UPFs’ expectations for the program aligned with their experience and enriched their sense of belonging within the biology department, STEM, and the broader University of Washington community. Furthermore, engaging in UPF roles developed individual leadership skills while also contributing to their personal, professional, and academic development. In addition, the survey highlighted an important area for improvement: tailored professional development for UPFs should focus on marketing the skills gained in teaching and leadership as particularly valuable in the job market, graduate school, or professional school. Understanding the impact of BIOL113 on UPF experience can inform instructional approaches, with the possibility of expanding such initiatives university-wide.

Climate change is increasing glacial melt worldwide, causing freshening events in marine ecosystems that rapidly decrease salinity. In the Salish Sea, summer low salinity events occur regularly from the Fraser River meltwater. This negatively impacts many organisms including sea urchins, which are resilient to other climate change impacts like marine heatwaves and reduced food availability. Previous studies found that low salinity impacts tube foot mobility and function in green sea urchins (Strongylocentrotus droebachiensis). We replicated the Salish Sea freshening events with a treatment of 20 PSU saltwater (control 30 PSU) to investigate the impacts on red sea urchin (Mesocentrotus fransiscanus) coordination and spine movement. This study implemented new techniques to quantify urchin motility to determine the negative effects that low salinity had on sea urchins over 96 hours. We quantified spine movement using image analysis to track individual spines of urchins in low and regular salinities. We also measured righting time, which is an indicator of urchin coordination. We found that urchins exposed to low salinity had significantly longer righting times and less spine movement overall. The low salinity treatment spine movement and righting time were highly correlated (p < 0.01), but not in the ambient salinity tanks (p > 0.01). We found that lower salinity waters have the potential to reduce urchin coordination and movement, which may impact urchin populations and kelp forests in the changing climate. Thus, there may be a lessened impact on the kelp forests needed to maintain ocean health.

I am studying the phonetic effects of childhood exposure to a secondary language on a speaker’s adult primary language. Although some studies explore the effects of secondary language exposure during childhood on the ability to learn that language later in life, there are no studies on the effects of secondary language exposure during childhood on a speaker’s primary language. This study of two English speakers from the Boston area aged 18 and 20 compares the Voice Onset Time of a speaker exposed to Gujarati during childhood to a speaker from a monolingual English household. Voice Onset Time (VOT) is the amount of time between the release burst of a stop phone and the onset of voicing. While American English has a 2 way VOT contrast with no negative VOT (voicing before the release burst), Gujarati has a 4 way VOT contrast with contrastive negative VOT. I recorded the two participants reading aloud English words containing the sounds /p t k b d g/ as the initial consonant.To assess the extent to which sound patterns might differ between participants, I analyzed these sound files in Praat for VOT, for the F1 and F2 at the 25%, 50%, and 75% point of the following vowels, and for the duration of the syllable. The positive hypothesis posits that the speaker with Gujarati exposure would demonstrate significantly more of the negative VOT characteristics typically found in Gujarati speakers than the speaker only exposed to English. These findings may provide insight into both the process of bilingual language acquisition and the long term effects of childhood exposure to secondary languages. In the future, I’d like to expand the study to include more participants and additional speaking or listening tasks.

DNA-Binding Proteins (DBPs) hold a strong affinity to interact with the major grooves of DNA for the purposes of transcription, translation, and repair. Although DBPs are found in nature, their specificity is difficult to predict and their production expends excessive resources. Therefore, our project’s goal is to efficiently generate DBPs that allow us to enable exact processes to occur. This is promising for future use in treating genetic diseases. In our research, we studied point mutations in the hexosaminidase subunit alpha (HEXA) gene and adenosine deaminase (ADA) gene, which can lead to Tay-Sachs disease (TSD) and Severe Combined Immunodeficiency (SCID), respectively. TSD is a rare genetic disease that affects infants and ultimately leads to brain damage, resulting in these children not making it to grade school age. Similarly, SCID is genetic, where children lack a strong immune system. This increases their susceptibility to infections, especially during their first year of life. Targeting the HEXA and ADA genes, we first developed designs utilizing computational software like RosettaFold, RFdiffusion, x3DNA, and LigandMPNN, followed by rigorous filtering via RosettaFold Nucleic Acid. Afterwards, we tested the final designs using yeast cultures and fluorescence-activated cell sorting (FACS) in the laboratory to determine which bind best to their generated DNA template sequences. Overall, we expect to find a few specific DBPs that bind effectively as predicted during the computational pipeline. These successful designs can be utilized as genome-editing proteins, correcting their target DNA sequences and restoring normal function.

Advances in language models have opened up endless applications in the social and health sciences. A key to fulfilling this promise is the development of rigorous practices for gathering data used for model training. This research project reports the development of standardized protocols for building databases for self-reported psychological questionnaires that can be used to fine-tune language models. These questionnaires cover a spectrum from childhood experience to altered states of consciousness and beyond. We systematically review the literature on appropriate database-building strategies, use combined data collection techniques, and instill specific criteria into our collection process to help facilitate the research’s computational pipelines on evaluating the relationship between semantics and psychological factor membership. Using a 2D semantic map of the PsycTests database as a reference, we can further evaluate the effectiveness of our protocols by developing quantitative measures to assess comprehensiveness and objectivity in our database building. Our initial explorations involve measuring data variance and density of data distribution. This research provides a general toolkit for building text databases for appropriate and effective model training purposes across various disciplines.

Marine sediments are a critical carbon reservoir, locking both inorganic and organic carbon in sediments for thousands to millions of years. This carbon is released in part through the production of methane at methane seeps, places where methane gas is emitted from the seafloor. In this study, I characterized source differences and quantified the amount of inorganic and organic carbon stored in Puget Sound sediments at a methane seep site. A multicorer collected sediment samples at two sites: one at the Alki Point methane vent field and a control site within the Main Basin of Puget Sound. The sediment cores were subsampled in 2 cm sections downcore and stored for later analysis. Analyses included physical parameters (grain size, percent loss on ignition (% LOI), and 210Pb sediment dating) and geochemical parameters (Total Organic Carbon (TOC), Total Carbon (TC), del 13C TOC, del 13C TC). Both sites were silt-dominated (Alki = 37 microns, Control = 30 microns), with a well-mixed layer 15 cm thick. Organic content (% LOI) was high at both sites (Alki = 7.5%, Control = 6.9%). Likewise, TOC and TC showed trends of increased organic material at the methane seep site. Isotope data indicate that methane-influenced sites have lighter del 13C. Given the amount of carbon they store and the potential for these reservoirs to be disturbed by bottom trawling, deep sea mining, and other invasive human activities, understanding how carbon is cycled through marine sediments is critical for preserving these reservoirs and adequately factoring their role in the carbon cycle into global climate models.

Panãra, an Indigenous language native to Brazil, is currently the focus of Dr. Myriam Lapierre, Sunkulp Ananthanarayan, Ella De Falco, and Jessamine Jeter as some of the only linguists to document and conduct a comprehensive study on this language. Our research focuses on streamlining the process of organizing and analyzing field data – specifically in the context of Panãra, though generally applicable to other Indigenous and/or under-researched languages  – for use in future research by Dr. Lapierre and other scholars in the field of linguistics as it applies to Indigenous and minoritized languages. We have digitized the data from the field journals of Dr. Lapierre and the graduate students working with her, and our current focus is on the analysis of verb and sentence construction, via this digitized data, to organize grammatical paradigms into efficient and accessible indexes. We are also compiling and organizing PDF, image, sound, video, and experimental data for use on the California Language Archive (CLA) with a similar focus on efficiency and accessibility. The completion of this research entails the more complex understanding and organization of Panãra sentence and word structure for use in future research, both by Dr. Lapierre and by other scholars, as well as for usage in a Panãra dictionary. Our expected results also involve the creation and organization of the CLA page dedicated to Panãra, with a transparent structure making this data available to a wider audience of both linguists and non-linguists interested in learning more about the language.

Advances in language models have made diverse applications in social and health sciences possible. With many models emerging daily, it is important to understand general principles behind how language models represent text data. The study aims to investigate the effects of text manipulation on the numerical representation of meaning, or embeddings, through language models. The research is focused on numerous text manipulations (ex. changing direction of sentiment, sentence incompleteness, object of reference, intensity of statement). The research employs SentenceTransformer for embedding generation and UMAP for the visualization of semantic shifts. A comprehensive analysis of over 50 sentence manipulations provides a preliminary basis for understanding the nuances of semantic space organization. The core hypothesis suggests that incomplete and intensity based modifications lead to greater shifts compared to negative and referencing modifications. This outcome is expected to be substantiated through measures of embedding displacement from original text, and generalized through statistical validation, with tests accounting for multiple comparisons. This research is positioned to scale towards publishable results, aiming to systematically quantify the effects of semantic modifications across a larger dataset. The anticipated contributions of this work are twofold. It offers insights into the organization of semantic space as influenced by sentence modification, providing implications for the development of more nuanced NLP (Natural Language Processing) applications. And crucially, it lays a foundational basis for understanding how large language models (LLMs) process psychological statements and terms, an area of increasing importance as these models become more integrated into applications involving psychological analysis. Overall, the outcomes of this research are poised to deepen the understanding of how semantic alterations impact sentence embeddings, with potential applications in enhancing NLP models' interpretability in processing complex linguistic constructs.

The crustaceous zooplankton Daphnia magna usually reproduce asexually but are also capable of sexual reproduction. Daphnia populations are generally all female; however, they occasionally produce male offspring for sexual reproduction. In lakes, the production of males and sexual eggs (ephippia) usually occurs in autumn, allowing Daphnia populations to reestablish in the spring. However, in our research, introducing males into some replicates but not others increases variability and decreases the ability to determine treatment effects. There are many hypotheses for what causes female Daphnia to have male offspring – the most common being alterations in light cycles or temperature – but we have encountered male offspring despite controlling these variables. Another hypothesis is that crowding leads to behavioral changes that cause female Daphnia to produce males. I am exploring this hypothesis to determine if the production of males is a behavioral response to crowding or to a lack of food availability. My experiments consist of two treatment groups of four replicates each: crowded and uncrowded. These groups are then fed proportionally upon creation, and reproductive behaviors are measured. The Daphnia cultures are fed with a mixture of three species of algae – Ankistrodesmus sp., Scenedesmus acutus, and Selenastrum capricornutum – to maintain a consistent level of food availability based on measured algal cell density estimated from in vivo fluorescence. If the hypothesis that density causes a behavioral change in reproduction is correct, the crowded treatment will produce more male offspring despite having the same amount of food. If food availability is the major factor impacting reproduction, the number of male offspring between the two groups will be constant. Eliminating sporadic male production would improve reproducibility within and between experiments.

The invasion of Indo-Pacific lionfish (Pterois volitans) throughout the western Atlantic, the Gulf of Mexico, and the Caribbean has led to declines in the biodiversity, biomass, and abundance of native coral reef fishes. These ecological consequences have been thoroughly documented in shallow zones of the reef; however, little is currently known about how lionfish interact with deep-reef ecosystems, and which native fish are the most vulnerable to predation. Deep-reefs may serve as refuges for lionfish, as they would avoid being speared by SCUBA divers in the top 30 meters. Thus, deep lionfish populations could potentially serve as a near-infinite source of replenishment for shallow populations. The microchemistry of calcium carbonate fish otoliths has emerged as a powerful tool in examining fish ecology, including their vertical movement. The elemental compositions of these “ear stones” reflect the chemistry of the water in the fish’s environment, ultimately providing insight into natal origin and dispersal events. I am analyzing the oxygen isotopic signatures in a sample of 10 lionfish otoliths collected across the entire depth range of reefs in Curaçao using micromilling and isotope ratio mass spectrometry (IRMS). Specifically, variations in δ18O from the core to the rim of the otolith indicate changes in water temperature, and presumably depth, from settlement to adulthood. This approach provides insight into whether lionfish migrate between deep and shallow reefs throughout their lives or remain in their deep refuge, how frequent and long these migrations are, and ultimately whether they are susceptible to surface removal by spearfishing. Effective management plans will require a holistic understanding of this invasive predator’s vertical migration patterns and where they are on the reef at various life history stages, and a deepened understanding of the connectivity between deep and shallow populations can inform future research to control mesophotic populations.

Plants are generally unable to move reasonable distances as single adult organisms. This lack of mobility necessitates robust pathways that allow for response to environmental stimuli which can cause changes in the plant’s morphology to adapt to their changing environment. One such trait is flowering, and it is crucial for plant survival because it allows for plants to reproduce. The vast majority of agricultural plants are flowering plants, and robust growth and reproduction of these plants is especially important for the growing human population. This experiment aims to understand the interaction between an Arabidopsis thaliana nitrogen response gene named NITRATE-INDUCIBLE GARP-TYPE TRANSCRIPTIONAL REPRESSOR 1 (NIGT1), and an Arabidopsis gene which controls flowering called FLOWERING LOCUS T (FT). NIGT1 is known to modulate plant flowering despite being a nitrogen response gene. Here, I used a Dual-Luciferase Reporter System to test whether NIGT1 proteins directly interact with the FT promoter to regulate FT gene expression. In this system, the FT promoter is used to drive expression of Firefly Luciferase rather than FT. Separately, the NIGT1 gene coding region will be highly expressed under a constitutive 35S promoter. It will also be fused to the transactivation domain of the viral protein VP16 which converts transcriptional repression into transcriptional activation, as NIGT1 is known to be a transcriptional repressor. The VP16 transactivation domain will be repeated as four tandem repeats, forming the construct called VP64. The gene constructs of interest will be inserted into Nicotiana benthamiana using agrobacterium infiltration, then the leaf material from N. benthamiana will be used for the Luciferase assay. I hypothesize that the binding of NIGT-VP64 to the FT promoter will cause increased in Firefly Luciferase production compared to the absence of NIGT1-VP64. Higher amounts of Firefly Luciferase will result in greater luminescence, which we will quantify with a luminometer.

One of the most common types of vaccines used today are subunit vaccines. Subunit vaccines consist of an antigen that triggers the adaptive immune system to create antibodies but also require a separately added adjuvant, which is a substance that induces longer-term immunity by stimulating the immune system to pay attention to the antigen. Current adjuvants are non-specific - often things like oil-water emulsions that irritate the immune system and cause inflammation in unknown ways to draw attention to the antigen. This project aims to create a more specific adjuvant by directly stimulating B cells. In order for B cells to replicate antibodies, they need a primary signal from the antigen and a secondary signal that certain ligands on T-cells can initiate. We decided to investigate whether CD40Ligand (CD40L), an immune protein present on T cells that works to signal B cells to either replicate or create antibodies, could be used to achieve this goal. The idea behind the project is to co-display CD40L with antigen on the nanoparticle in hopes of creating a more specific adjuvant. We designed 10 different versions of this nanoparticle, where we tested two versions of CD40L, the placement of CD40L, and the linker length between CD40L and the nanoparticle surface. Our preliminary results also show that our cages retain their ability to bind both antibodies and CD40 as well as activate NFkB transcription - a proxy for B cell activation. We expect CD40L-displaying nanoparticles will promote B-cell proliferation to a greater extent than the nanoparticle vaccine displaying only hemagglutinin (flu) antigen accompanied with an adjuvant like Addavax. Ultimately, we hope to examine how co-display of CD40L with antigen will change the quality of immune response and memory in-vivo in comparison to currently used vaccine adjuvants, and begin testing in-vivo in the coming quarters.

It is well documented that pet cats develop age-related diseases similar to humans with chronic age-related diseases, including Alzheimer’s disease (AD). Since pet cats live in the same environment as their owners and by extension are subjected to the same environmental stressors, older pet cats are an excellent mammalian model to study therapeutic targets to slow or reverse brain aging. However, aging within the brains of pet cats is not well characterized, partly because valid reagents have not been identified. This study was designed to test several human-specific antibody reagents that identify non-neuronal cells, aging pathways, and Aβ amyloid and phosphorylated tau (pTau) seen at autopsy in brains from patients with AD. Archived brain samples, collected from pet cats at autopsy, were graciously provided by the veterinary pathology departments at University of California Davis campus and University of Pennsylvania. Immunohistochemistry staining was done to detect: 1) Microglia, a non-neuronal inflammatory reactive cell type, using an IBA1-specific marker; 2) An inflammatory pathway using an MCP-specific marker; 3) Amyloid plaques using E610, an Aβ42-specific marker; and 4) pTau fibrillary tangles using AT8, a pTau-specific marker. A digital imaging software program was used to generate a heat map to visualize staining and quantify results. It was found that brain samples from older pet cats had increased inflammation as determined by high staining intensity of microglia and MCP1. Brains from several cats showed evidence of amyloid plaques and pTau tangles. These observations suggest that the human-based reagents tested can identify analogous cell types, pathways, and pathogenic components of AD in brains from pet cats. These prototype reagents can now be used to begin the task of characterizing neuropathology in deceased pet cats donated to the Cat Alzheimer’s disease Program at the University of Washington.

An important part of addiction recovery is degrading high value associations between drug cues and the drugs themselves. Dopamine plays a crucial role in learning, and is specifically implicated in the prefrontal cortex (PFC) and reversal learning - learning to update and change behavior when it is no longer being rewarded. Past studies have reported elevations in dopamine during contingency reversal, but the timescale of how activity of PFC dopamine neurons maps to reversal learning remains unclear. Here we investigated the activity of PFC dopamine during reversal learning in a longitudinal fiber photometry study, recording dopamine signal on a timescale of seconds. Mice were trained on a reversal learning task where they initially learned that two of four presented odors precipitated a sucrose reward in 85% of the trials while the remaining two odors precipitated the reward for only 15% of the trials. Once the learning was stable, reward probability flipped for two odors (one 85% odor and one 15% odor) and the mice had to update their behavior to the new odor/reward structure. Fiber photometry recordings were conducted during pre-reversal, reversal, and post-reversal stages of the study. Our data replicate findings demonstrating elevated dopamine release during the reversal period, centered around the 15-85 cue. Analysis of the relationship between the dopamine signal and behavior also revealed significant cue, reward prediction error, and 15-85 reversal coding in the majority of animals, suggesting a multi-faceted role for dopamine in the PFC. Given this, dopamine in the PFC may play an important mediating role in the enhancement of associations between drugs and drug cues, but does not play a clear role in contingency degradation.

Pediatric high-grade gliomas (pHGG) are highly aggressive brain tumors with limited therapies and extremely poor clinical outcomes. pHGG and many other cancers are often driven by genetic fusion events, which produce oncogenic fusion proteins such as TPM3-NTRK1. NTRK1 regulates signaling pathways promoting cell survival and differentiation. In cancer, NTRK fusions lead to constitutive activation of these pathways, resulting in uncontrolled cell growth. The purpose of my project is to validate TPM3-NTRK1 as a potential drug target for a novel therapeutic strategy known as targeted protein degradation and to clarify the role of TPM3-NTRK1 in cancer signaling. I hypothesize that degrading the TPM3-NTRK1 protein will decrease the activity of downstream signaling pathways that lead to pHGG. To model pharmacological degradation of TPM3-NTRK1, I applied the degradation tag (dTAG) system to rapidly and reversibly degrade a target protein fused with an FKBP12^F36V-tag. In this approach, dTAG molecules bind to the FKBP12^F36V-tag and recruit an E3 ubiquitin ligase to ubiquitinate the target protein, leading to its degradation by the proteasome. In my project, I used Gateway cloning to generate a lentiviral expression plasmid containing FKBP12^F36V-TPM3-NTRK1. I then produced lentiviruses, which I used to transduce NIH/3T3 cells and express FKBP12^F36V-TPM3-NTRK1. To test whether the FKBP12^F36V-TPM3-NTRK1 protein can be successfully degraded, I plan to treat the cells with dTAG molecules and use Western blotting at various time points to evaluate levels of FKBP12^F36V-TPM3-NTRK1 and known proteins involved in downstream signaling pathways, including pERK and pAKT. I expect that samples treated with dTAG molecules will show significantly decreased FKBP12^F36V-TPM3-NTRK1, pERK and pAKT. Importantly, these results will justify the development of small-molecule degraders to target TPM3-NTRK1, a promising therapeutic approach for pHGG and other hard-to-treat cancers. Additionally, a cell line expressing degradable TPM3-NTRK1 will serve as a powerful model system to further explore its role in cancer.

Food insecurity is a global problem with one out of every six people in the United States relying on charitable food assistance organizations to meet their needs in 2022. However, organizations like food banks are underfunded and overwhelmed, relying on donors to continue aid. One food bank in the Seattle area received 70% of their donations from individual donors as financial aid, and a significant contribution comes from grocery stores in the form of food surplus. Previous research has shown that tax deductions motivate grocery stores to donate and limit food waste, however little is known about the care involved in the decision of selecting food to be donated. The quality and quantity of donations varies depending on the store and department. I explore how managerial discretion explains why different grocery store departments choose to donate food or throw it away. I conduct one-on-one structured interviews with three managers in four grocery stores in a Seattle neighborhood to find what factors influence the amount and quality of donations. Additionally, I uncover the internal and external constraints of managers in different departments. Managerial discretion has been studied in various firms yet it has not has not been explored explicitly within the context of donations. Similarly to charitable donations, which are scarce in the context of individuals making philanthropic decisions within organizations. I predict managers’ values and opinions on charity, the grocery store’s philanthropic organizational structure, and the perceived strength of the food bank-to-manager relationship will influence the quantity and quality of donations. I also predict that managers in stores with a higher philanthropic public image will contribute donations of higher quantity and quality. The findings from this study will help identify factors to increase the quantity and quality of donations so that stores can donate higher quality food.

Family businesses are some of the most important economic contributors in the United States, accounting for approximately 64% of the U.S. GDP. The family business model, which refers to any business with two or more family members on the board or in ownership, is a crucial and enduring part of business in the Seattle area and abroad. Historians have often pointed out that the family business model seems to be the base model for business and has thus been present since the beginning of organized business, often in the form of farms, merchant companies, banks, and other small businesses. Despite its prevalence, the family business model is far from perfect because of its numerous commonly encountered limitations. One of the limitations family businesses face is the challenge of succession, as only about 30% are able to succeed from the first generation to the second. Other limitations relate to growth, sustainability, and qualification problems. This study, conducted as a literature review, uses a combination of peer-reviewed articles and popular sources (chosen based on criteria of relevancy and prominence) as quantitative data to examine the consensus of family businesses in Seattle and the solutions that have been proposed to address these limitations. Interviews with family business owners in the Seattle area were also conducted to provide qualitative data and to highlight specific opinions. The economic and historical implications of Seattle family business are also discussed. This research aims to provide insight into otherwise costly financial, succession, and leadership difficulties in order to ensure that the family business model is an enduring contributor to the Seattle economy. Having the proper knowledge on how to approach these difficulties and reconcile with their seemingly conflicting nature can help family businesses in the Seattle area thrive while working through complicated business situations.

Early-Stage Alzheimer’s Disease (ESAD) is characterized by the development of beta-amyloid aggregates (Aβ42) and phosphorylated tau (pTau) leading to mild cognitive decline and variable personality changes. Because specific diagnostic criteria have not yet been established for ESAD at middle age, there is no way of knowing who might be susceptible and who might be resilient to more severe neuropathology and dementia in later years. The geroscience concept assumes pathways associated with aging are also associated with age-related diseases including ESAD. Therefore, a simple skin biopsy procedure shown to predict resilience to aging in middle-aged mice should be able to predict resilience to ESAD in middle-aged mice. An adeno-associated-viral (AAV) vector system carrying pathogenic components of AD, Aβ42, and pTau, was used to induce ESAD in 23-month-old C57BL/6 mice. Before receiving the AAV vector, 2 mm ear punch biopsies were performed, and the rate of closure was measured over 3 weeks. The study ended when mice were 26 months of age, and the closure rate for each mouse was calculated and correlated with behavioral and neuropathological features of EASD. Preliminary observations will help address the question of whether the healing rate of a simple skin wound can predict susceptibility to the burden of AAV-mediated ESAD. It is expected increases in physical resilience will be associated with increased wound closure, and thus, mice with increased wound closure will have greater resilience to the onset of ESAD neuropathology. This could have highly impactful implications for the early treatment of ESAD in human patients thus preventing the irreversible and fatal progression of dementia associated with late-stage AD. In addition, DNA from skin biopsy cores could be used to obtain DNA methylation signatures for determining biological age thus providing an enriched, translationally relevant data set.
 

The National Associations of the Deaf astimates there are 308,648 deaf and hard of hearing D/HH students in the US, 79.2% of D/HH students attend mainstream school. D/HH students tend to stuggle academically and socially in high school which leads to low self-esteem. This project uses a Critical Youth Participatory Action Research (YPAR) ethic, framework, and methodology to put power of research and advocary into the hands of the D/HH youth at a PNW high school. YPAR is an epistemological framework in response to the historical dehumanization of marginalized communities. It democratizes ad decoonizes research by privileging the knowledge production of vulnerable communities and foregrounding justive and change. In practice, YPAR develops research skills of typically non-academic co-researchers who drive the research question, design, and analysis. The aim of this project is to guid the students and build their skills to name the challenges they face as minoritized D/HH students, to collect and analyze relevant data, and to use the data to drive policy. the signifiicance of this project is the methodology thatdemands youth voices to be centered in policy making and cultural change. The expected results are findings that speak to the challenges of D/HH students at a PNW high school. The hope is for the D/HH students to present their finingds to policy and decision makers. There is limited research on D/HH students using YPAR methodology and this research will add the perspectives of D/HH students of the discourse.

Growing environmental stresses such as ocean warming have led to a rise in coral bleaching events. Where reef-building corals lose their symbiotic algae that usually supply most of their energy. Bleaching events have led to widespread coral starvation and death, damaging the structure of coral reefs. This study aims to identify if the sex of a coral colony will impact the colony’s ability to withstand growing environmental stresses. Although most coral species are hermaphroditic, we worked to gain insight into the responses of gonochoric corals (in which individuals are either male or female). We focused on a major reef-building species, Porites compressa, from Hawai'i, to better understand how reproductive development compares to bleaching events, and colonies’ ability to recover from bleaching. We hypothesized that female colonies would be better equipped to withstand environmental stress due to excess nutrients stored in their eggs, which can be re-absorbed during stress. While males grow faster at the cost of investing less nutrients in sperm leaving them vulnerable to heating events. Coral polyps from male and female colonies were collected at different points between 2021 and 2023. Using the polyps, I determined each colony’s sex and the developmental stage of each egg or spermary. With this data the varying developmental stages were compared, to present the expected differences between male and female gamete development. I also measured each colony’s annual growth through skeletal growth rings preserved in frozen colony fragments. We analyzed this data to determine if females grow more slowly to better survive bleaching due to earlier annual investment in nutrient-rich eggs, to keep available during bleaching events. Through this study, a better understanding of coral development and success based on the reef’s sex will allow greater predictions to be made in future research as ocean warming increases.
 

In recent years, the United States has seen an increasing number of opioid overdoses, causing many research studies to focus on opioid drugs of abuse. However, we still lack a fundamental understanding of the opioid receptor that these drugs bind to. The mu-opioid receptor (MOR) is involved in both the pain-relieving and euphoric effects of opioid drugs. The Ventral Tegmental Area (VTA), known to be a major source of dopamine, contains a significant amount of inhibitory gamma-aminobutyric acid (GABA) neurons that express MORs. Previous research has shown that activity at the MOR in the VTA is rewarding and that dopamine projections from the VTA to the Nucleus Accumbens (NAc) are activated to reinforce behavior. However, whether the expression of MORs on GABA neurons in the VTA is important for influencing VTA to NAc dopamine activity during reward seeking behavior is unclear. To investigate the role of the MORs in reward seeking behaviors, I knocked out MORs in the VTA and used dLight, a fluorescent dopamine sensor, to measure dopaminergic release from synapses in the NAc during Operant and Pavlovian conditioning tasks in the absence of these receptors. Pavlovian conditioning utilizes chambers in which a house light turns on and a sucrose pellet is delivered via food hopper to food-restricted mice. In the operant conditioning task, mice must learn to complete a nose poke in order to receive the sucrose pellet reward. These tasks allow me to gain a more complete understanding of how the absence of MORs in the VTA changes behavior and dopamine activity during reward-seeking. This research furthers our understanding of how the MOR affects natural reward and motivated behaviors and is crucial in helping us understand how opioids of abuse alter existing brain circuitry to cause opioid use disorder.

Kelp forests are hotspots for productivity and biodiversity in marine ecosystems. Currently along the West Coast, many kelp forests face significant threats due to climate change. Several studies have looked at the effects of ocean warming on kelp, but less is known about the effects of ocean acidification (OA), and how OA and warming in conjunction impact kelp. With climate change continuing to worsen, it is crucial to understand how these drivers may contribute to kelp’s decline. We examined the effects of warming and acidification, both separately and concurrently, on bull kelp (Nereocystis luetkeana) from two populations in Puget Sound, WA. Bull kelp, the primary canopy-forming kelp species in Puget Sound, has a heteromorphic life history with macroscopic (sporophyte) and microscopic (gametophyte) stages. Little is known regarding how the microscopic stages will be impacted by multiple stressors in Puget Sound. This study aims to better characterize the effects of warming and OA on Puget Sound bull kelp throughout its microscopic life stages. We exposed kelp gametophytes from two genetically distinct populations to elevated levels of temperature and pCO2 in laboratory conditions for five weeks, monitoring their survival, development, and reproductive success from spore settlement to the juvenile sporophyte stage. Our collection sites differed in the overall temperature, urbanization level, and state of the kelp forests. Previous studies have shown declines in reproductive metrics when subjected to thermal stress, and an increased thermal tolerance when subjected to acidic conditions, which is what we expect to find within our experiment. Understanding local adaptability is critical in predicting future population responses to climate change. The potential range shifts or local extinctions that could occur because of these stressors will need to be understood to plan for conservation, restoration, and recovery of healthy kelp forests.

Antarctic blue whales (Balaenoptera musculus intermedia) are the largest animal on Earth, but much of their life history remains a mystery, including mating behavior, gestation periods, and early development. Antarctic blue whales were hunted excessively throughout the 20th century and are currently listed as endangered due to this exploitation. More than 340,000 blue whales were killed which led to an immense amount of data regarding the length, sex, and reproductive status of individuals. Using this data, compiled by the International Whaling Commission, I will build a model of Antarctic blue whale fetal growth and calf development. I will fit this model to the fetal and calf catch data to predict fetal and calf lengths in each month of the year. This model will result in predictions of the time of year that Antarctic blue whale calves are born and weaned as well as their growth rates. Determining the trends of fetal and calf growth in Antarctic blue whales contributes to the knowledge of reproductive behavior and growth trajectories. This is especially important for Antarctic blue whales, where no breeding areas have been identified. Understanding when calves are born and weaned can be combined with other data, such as satellite tracking, to provide insight into breeding areas.

A product we consume daily, such as honey, may contain heavy metals like copper (Cu). Copper can get into our environment and food from urban sources such as tires, roofing materials, and generators. We therefore expect food products from more urbanized areas to show a higher concentration of copper. To test this hypothesis we evaluated copper levels in raw honey from different regions with different levels of urbanization. The honeys we tested were divided into three different categories according to their source: rural, suburban, and urban. The samples were digested by reflux with HNO₃ and H₂O₂ then it was diluted and filtered in preparation for analysis by Atomic Absorption Spectroscopy. The results suggest that the honey with the highest concentration of Cu was from an urban area, and the honey from a rural setting had the least amount of Cu. A one-way ANOVA analysis confirmed a statistically significant difference in the copper levels in raw honey from the regions (p < 0.01). The concentration of Cu in the samples of honey we analyzed ranged from 0.2 ug/g to 0.4 ug/g which is well within the recommended upper limit of 300 ug/g. Since bees collect pollen and honey from plants within roughly one mile of their hive, evaluation of the levels of copper and other metals in honey can provide a snapshot of the background levels of exposure in that area.

Acorn barnacles (Balanus glandula) are among the most common species found in the Northern Pacific Ocean, inhabiting rocky surfaces across intertidal zones. These barnacles’ distribution is attributed to various factors, including surface exposure, spatial competition, and predation. The size and abundance of barnacles may serve as an indicator of the primary abiotic and biotic processes that influence barnacle populations in highly dynamic intertidal systems. This study tests our hypothesis that higher abundance and smaller-sized barnacles will be observed at higher tide elevations, while lower abundance and larger-sized barnacles will be observed at lower intertidal elevations on the shore. In September 2023, at Friday Harbor, (San Juan Island, WA) we photographed 10 quadrats (24x24cm) at low (0m), mid (1m), and high (2m) elevations. We observed barnacle distributions at two sites along the San Juan Channel. Barnacle abundance and size were measured with ImageJ. We calculated the mean and median barnacle size at each elevation and location. Small barnacles (0-1.5mm) were predominant in the high elevations, whereas large barnacles (>3mm) dominated the lower elevations. Our results are associated with a combination of abiotic and biotic factors. Abiotic factors include greater desiccation risks in the high intertidal elevation. Biotic factors involve food availability, with larger barnacles having greater access to the nutrients coming from the ocean, along with spatial competition, where higher abundance may lead to increased competition, thereby reducing available resources for each individual. Differences between sites may be attributed to diverse characteristics unique to each location.

This study seeks to explore the perspectives of Latine students at the University of Washington (UW) regarding racial representation within the institution. Do Latine students see their experiences and identities represented and reflected in university life? How do Latine students experience and perceive Latine representation (or lack thereof) in terms of the composition of faculty, student body, and community spaces at UW? This research project aims to uncover the realities, challenges, and promise of support and community on campus. Through interviews with Latine students, faculty, and staff, this inquiry will describe how students find support at UW and navigate their academic environment. To attain a comprehensive understanding, the research utilizes a combination of primary and secondary sources, incorporating interviews with Latine students, staff, and faculty at the UW to capture personalized and nuanced perspectives. By examining the lived experiences and perspectives of individuals directly affected, the study aims to thoroughly examine the complex dynamics at play. Exploring the lived experiences of Latine students, the study will contribute to the discourse on racial representation in academia and its impact on student well-being and academic success. The findings will inform discussions on how institutions can foster an inclusive environment that recognizes and supports the diverse backgrounds of all students. This research project has emerged from ongoing conversation and collaboration with the Washington State Commission on Hispanic Affairs members. This research project will inform the community report that the Commission is preparing.

On February 24, 2022, Russia began its full-scale invasion of Ukraine. Washington state was already the home of over 42,000 Ukrainian immigrants, and since the invasion, upwards of 22,000 Ukrainian refugees have arrived. Refugees face significant challenges due to obstacles stemming from the trauma of war, displacement, resettlement, and the lack of access to essential health and social services. The Nashi Immigrants Health Board is a non-profit, community-based organization founded by public health professionals. Nashi partners with the Ukrainian community via health promotion, education, and advocacy programs and provides culturally and linguistically appropriate public and mental health services. Nashi’s warm-line was created as a caller line for Ukrainian-speaking communities, primarily refugees fleeing Ukraine to provide psychosocial support and connection to community resources. The purpose of this study is to examine the data collected during warm-line calls to identify the greatest needs and streamline resources for the community. Warm-line operators collect anonymous information such as age, zip code, primary language, the purpose of the call, and action taken are recorded. Caller data are entered into a database with specific categories and analyzed for trends and patterns of needs, which will help Nashi refine the pathways to interventions and resource allocation. We hypothesize the callers will be mainly calling about needs such as housing, health insurance, and job opportunities. We expect the navigators to provide emotional support in addition to resources, even if callers are not expecting or requesting it. The findings would help Nashi inform the Office of Refugee and Immigrant Assistance (ORIA) for future programming and quality improvement interventions. The study results are not inclusive of every need in the Ukrainian refugee population. Ongoing efforts of resource allocation would continue to evolve based on the changing needs of the Ukrainian community.

The seeds and fruits of all flowering plants derive from female reproductive structures called pistils. At the tip of a pistil is an area called the stigma that is the site of pollen reception, making the structure of stigmas critical for ensuring plants are pollinated and produce seeds. In the genus Thalictrum, stigmas vary widely: short stigmas are present in insect-pollinated Thalictrum species to facilitate closer contact with visiting insects and ensure successful pollen deposition, while longer, more feathery stigmas have evolved from these to take advantage of wind for pollination. However, the evolutionary and genetic basis for this transition is not known. I aim to explore the genetic mechanisms that facilitate the transition from insect-mediated to wind-mediated pollination using Thalictrum thalictroides as a model species. Specifically, I am testing the function of two candidate genes in T. thalictroides stigma development, STYLISH1 and STYLISH2 (STY1/2), which are known to be necessary for stigma development in other plant species. To do so, STY1/2 genes have been silenced and overexpressed by virus-induced gene silencing and virus-mediated overexpression. I collected and imaged floral tissue from transgenic plants and validated them by qPCR. The effects of silencing and overexpressing STY1/2 are then determined using scanning electron microscopy to visualize cellular changes to the pistil and stigma. I predict shortened or loss of stigmas in silenced flowers and elongated stigmas in overexpressed flowers, which would support my hypothesis that STY1/2 are necessary for stigma formation in T. thalictroides. Not only do these findings enhance our knowledge of plant adaptation to environmental changes, but they also create implications for efforts toward conservation and sustainable agriculture, offering potential insights into the prospect of engineering wind-pollinated plants in a changing climate with dwindling pollinator populations.

Plants utilize cell surface protein receptors to recognize insect herbivory through the detection of Herbivore Associated Molecular Patterns (HAMPs) Following the detection of HAMPs, plants initiate specific immune responses, often measured by the increased production of the hormone ethylene gas and by Reactive Oxygen Species (ROS). The Inceptin Receptor (INR), which is specific to legume plants, recognizes the HAMP Inceptin11 (In11). The binding of In11 to INR initiates a signaling cascade, leading to an immune response. However, the signaling mechanism activated by INR is unknown. The Receptor-Like Cytoplasmic Kinase (RLCK) gene Herbivore Induced Kinase 1 (HIK1) is upregulated by In11 treatment in the bean species Phaseolus vulgaris. The goal of this research is to determine if HIK1 and other RLCKs are downstream proteins required for INR signaling. Because of the genetic intractability of P. vulgaris, I transform Arabidopsis thaliana with RLCK genes using Agrobacterium tumefaciens infiltration. Isolated genetic lines are then used to analyze the effect each RLCK has on immune signaling. Transgenic plants are treated with bacterial associated molecular patterns to trigger an immune response, then tissue samples of the leaves are measured for ROS and ethylene gas production. Results are then compared with ROS and ethylene gas production of wildtype plants. If the studied RLCKs are involved in downstream INR signaling, the transgenic plants will have increased ROS and ethylene gas production. I anticipate HIK1 to have the strongest increase in ROS and ethylene gas production due to the upregulation of HIK1 after In11 treatment in P. vulgaris. Understanding the INR signaling pathway is vital for engineering of plants that are resistant to insect herbivory without the use of pesticides.

The kidney is composed of thousands of filtration units called nephrons. Within each nephron lies a tuft of capillaries, the glomerulus, that filters from the blood through a filtration barrier. Over time this filtration barrier thickens, ultimately causing decreased blood filtration. A main marker of this age-related degradation are telomeres which comprise the ends of chromosomes and protect the coding DNA from degradation. If telomeres become too short, the coding region of DNA will begin to degrade. To combat this, telomere shortening signals for cells to enter a state of permanent cell cycle arrest, senescence, which prevents replication of cells with degraded DNA. Accurately quantifying telomere length will enable the development of correlations between cell lineage and structural changes within the kidney. I hypothesize that Expansion Microscopy (ExM) and quantitative-Fluorescent In-Situ Hybridization (Q-FISH) will allow me to determine the relationship between physiological changes in the filtration barrier and single-cell telomere length. ExM enables a superresolution cellular view by embedding a tissue sample in a swellable hydrogel, achieving four-fold isotropic expansion. This technique confers greater resolution of Q-FISH signal versus traditional confocal microscopy. To determine telomere length, I developed custom analysis scripts to quantify Q-FISH signal brightness. Preliminary results indicate an increased brightness of younger mice compared to their aged counterparts. Additionally, to receive a base-pair output I compared the Q-FISH signal to the signal of a DNA region of known length, Major Satellites, determining young telomeres to have an average base-pair length of 30 kb. I am validating these results in collaboration with the Miller Lab using next-generation sequencing techniques. Future work includes concurrent application of general physiology stains to identify and measure the glomerular filtration barrier physiology. Results from this method will allow for a wealth of information regarding the relationship of single-cell telomere length and glomerular structural health.

Plants recognize herbivore-associated molecular patterns (HAMPs) during herbivory that activates signaling to induce immune defenses. Caterpillar oral secretions contain Inceptin 11 (In11) which is a HAMP recognized by legumes such cowpea via Inceptin Receptor (INR). Thus, In11 and INR are a model system to study proteins involved in HAMP induced defenses, including Kunitz trypsin inhibitors (KTIs). It is known that KTIs are serine protease inhibitors with anti-herbivore activity; however, the precise role of In11 induced KTIs and the effect of cysteine content variation in cowpea KTIs remains unknown. Here, we show that selective removal of cysteines has a negative effect on KTI function in cowpea experiencing herbivory from the fall armyworm (Spodoptera frugiperda). We found that cowpea KTIs act as antiherbivore proteins against the fall armyworm when expressed in Nicotiana benthamiana, as we saw reduced weight gain on larvae feeding on leaves expressing wildtype KTI. Furthermore, we found that KTI function was negatively affected by the removal of cysteines, and larvae fed leaves expressing any of the mutant gained more weight than those feeding on wildtype. We hypothesize that these findings are due to reduced protein stability because we did not detect mutant KTIs in frass samples by westernblot. Understanding KTI protein structure and how it influences protein function is important for designing and selecting antiherbivore proteins to be used for plant defense in agriculture.

Alzheimer's disease (AD) is a neurodegenerative age-related disease characterized by the presence of amyloid-beta aggregates and hyperphosphorylated tau tangles. It has been well documented that cognitive decline and changes in age-related pathways are associated with disease progression. Mitochondria play an important role in degradation of amyloid protein through a mitochondrial protein-mediated quality control system. This pathway can break down with increasing age and lead to the overwhelming presence of amyloid, disrupting normal mitochondrial activity. This damage leads to the formation of more Aβ plaques and neuroinflammation, contributing to the pathogenesis of AD. Mitochondrial regulators may be potential therapeutic drug targets but models are needed to help identify and characterize them. In this regard, an Adeno-Associated-Viral (AAV) vector was used to induce AD protein expression in the brains of old mice. 40 Male and 40 Females mice aged 24 months were infected with either the AAV-AD or AAV-SHAM vector and given 3 months for expression of the proteins to build. Mice were euthanized and brain tissue collected into formalin, with the hippocampus cut into slides for immunohistochemistry (IHC). Data generated from these mice has shown trends in decreased synaptic integrity, increased inflammation and DNA damage associated with expression of the vector proteins. Utilizing the same model, this experiment aims to understand how expression of the AAV-AD proteins may be associated with known roles of mitochondria and characterized pathways in the early stages of AD. IHC was performed using antibodies specific for PITRM1, a mitochondria protein degradation regulator, and PINK1, responsible for mitochondrial-mediated cell death (mitophagy). Imaging software “ImageJ” will be used for quantitative analysis of the stains. This study will help clarify an association between varying levels of AD protein expression and mitochondrial regulation, providing valuable information for enhancing therapies aimed at preventing the progression of early stage AD.

Resilience in Alzheimer's Disease (AD) is defined by the difference between a person's expected and actual rate of cognitive decline given the severity of their disease. However, the mechanisms behind resilience are still unclear and I wanted to see if the anatomy of the brain over the course of AD could offer any clues. To accomplish this, cognitive tests and brain scans were obtained from patient data taken at Harborview Medical Center. Brain tissue atrophy in regions of interest were defined and combined into two measures. The first--biological subtypes--is whether the disease primarily affected the limbic regions or the cortical regions, while the second is left-right asymmetry. I found that resilience correlated with biological subtypes but not asymmetry. This suggests a way for us to predict resilience to better personalize treatment and eventually find ways to increase resilience.

Germany's Energiewende, a pioneering transition to renewable energy, has drawn global attention. Yet, despite initial enthusiasm, disillusionment has grown among energy sector workers and civil society. This study aims to uncover the factors driving this disillusionment. The primary research question is: What contributes to disillusionment amidst the Energiewende transition? Through qualitative analysis of data from the IGBCE union, a key stakeholder in the transition, this research examines the gap between policy objectives and worker concerns. Hypothesizing that a lack of legal support fuels dissatisfaction, the study contextualizes evolving worker attitudes through literature review. Concerns over job insecurity and transition policy inadequacies have shifted sentiment despite initial optimism. Using a comparative case study approach and narrative analysis, I explore how the IGBCE's legal narrative reflects worker grievances. By examining documents from 2015 to 2023, including union materials, recurring themes and narratives are identified. This illuminates the complex relationship between government policies, and worker discontent amidst energy transition. Employing sociological theories such as the "treadmill of production" and "creative destruction," I examine barriers to a just and sustainable transition, questioning whether there are other growth factors that leads to advanced economies being stuck on a "treadmill". Analysis reveals that the Energiewende is primarily driven by societal pressure, prompting political and economic transitions. This shift also influences the stances of labor unions, exemplified by IGBCE's evolution from advocating for fossil fuels to embracing renewables. However, union interests persist in advocating for members. Consequently, with only half of energy jobs governed by collective bargaining agreements aimed at ensuring fair wages, dissatisfaction among workers intensifies. Therefore, workers find themselves vulnerable to precarious conditions and insufficient wages. Result also shows notable lack of government support, further exacerbating worker concerns. This deficiency underscores the importance of unions as effective representatives of workers' interests, with perceived benefits such as collective bargaining power and legal representation, which contribute to the increasing appeal of unions for workers seeking support and protection.

Epigenetic factors, including histone marks, change the patterns of gene expression without altering the DNA sequence. Variations in such marks are known to account for the ability of stem cells to differentiate into various cell types, but a preliminary experiment conducted by a former member of the Vaughan Group, Dr. Marcus Woodworth, has revealed that even in a phenotypically homogeneous, terminally differentiated cell population, the presence of H3K27me3, a repressive histone mark, varies on the HOXC gene of human retinal pigment epithelium (RPE1) cells at single-cell, single-loci level. My role is to evaluate the two possible origins of such heterogeneity: inheritance (histone mark varies due to events that happened during differentiation, or the random drift after differentiation, and the variations are kept within each lineage of cells), and multiple mark co-repression (one histone mark varies, but summing its effect with another histone mark that perform a similar function lead to the observed functional homogeneity), and to validate that such pattern exists among a broader range of genes. To achieve these ends, I profile selected histone marks (H3K27me3 and H3K9me3) on genes that experience different types of regulations during differentiation (HOXC, GAPDH and SIX6), using imaging-based methods, including the time-lapse imaging of live cells to map out lineages, and expansion microscopy (ExM) to capture fluorescently labeled histone marks at single-loci level. If the hypothesized origins are true, a significant difference in the number of histone mark clusters around the genes of interest would be observed between cells of different lineages, and complementary variation patterns would be observed between H3K27me3 and H3K9me3. The study reveals the nuances of histone mark dynamics on the single-cell, single-loci level, and optimizes an imaging-based method that has the potential for multiplexing at high spatial resolution, thereby providing a powerful tool for further studies on epigenetics.

Music interventions are gaining attention due to the evidence they improve health and cognition in elders. In the US, there is an increasing number of Mandarin-speaking elders whose cultural background affects their aging experience. After English and Spanish, Chinese is the third most spoken language in the US. Three and a half million households in the U.S speak Mandarin or Cantonese. However, there is little information regarding specific music choices or culturally-tailored music interventions for Mandarin-speaking elders to improve their health and aging experience. The purpose of this study was to gain insights into Mandarin-speaking elders’ views of aging, ageism, and the relationship between music and health. We conducted a qualitative study that involved interviewing Mandarin-speaking elders in Mandarin. The interview consisted of questions related to their cultural perspectives on aging, experience with ageism in the US, and the impact of music on their health. The participants selected music to play during the interview and discussed what the music meant to them and their thoughts on how music affects their health. Four interviews in Mandarin have been conducted to date. Initial findings reveal that filial piety and respect are recurring cultural themes that influence participants’ perspective and experience of aging. Internal ageism was identified in one of the interviews while the participant discussed their experience with ageism. Participants expressed that music benefits their health by providing emotional support and outlet, motivation, reminiscence of the past, brain activity, and stimulation through physical movement such as dance. The findings increase our understanding about the role of culture in the aging experience and music’s role in enhancing health for Mandarin-speaking elders. Future studies can use this information to develop music-based interventions tailored for Mandarin-speaking elders to improve their health.

Compassion fatigue, also known as secondary traumatic stress or vicarious trauma, is a condition characterized by emotional and physical exhaustion, often experienced by individuals who provide care, support, or assistance to people who are suffering or traumatized. This phenomenon commonly affects professionals in helping and caregiving roles such as healthcare workers, social workers, counselors, and first responders as they’re constantly exposed to secondary traumas. This study investigates five domains of worker well-being of social services employees at a local Homeless Services Agency in King County. Seventy-five social workers and case managers were invited to participate in the online, anonymous survey that contains the National Institute for Occupational Safety and Health (NIOSH) Worker Well-being Questionnaire. This questionnaire consists of sixty-eight questions related to work evaluation and experience, workplace policies and culture, workplace physical environment and safety climate, health status, and home, community, and society. We hypothesize that those who have been employed at the Compass Housing Alliance for more than 2 years will exhibit higher compassion fatigue through their survey responses. The insights gathered will aid in understanding the working environment on service employees’ well-being. Results will offer areas to support workers and hopefully serve to mitigate the potential development of compassion fatigue among staff members.

Religious nationalism is receiving growing attention because of its current influence in democracies, but it manifests itself differently across countries. Previous research has identified socio-historical characteristics that impact the salience of religion as a factor in an individual’s conception of national identity. However, scholars of these studies have mainly used International Social Survey Programme data to analyze European nations. My study uses World Values Survey (WVS) data from 1981 to 2022 to evaluate democracies from a global perspective. I conduct a multilevel analysis to determine the salience of contextual characteristics that prime religion to be used as a vector through which nationalism is mobilized among individuals. Accounting for individual-level factors, I identify which country-level factors influence the relationship between religion and support for nationalism among individuals surveyed. I determine an individual’s support for religious nationalism using the beliefs and groups they express to support in the WVS. I then compare these results to events of national stress to determine if a relationship can be identified. My results suggest that religions favored in church-state relations are more likely to be included in conceptions of national identity. Additionally, affiliates of favored religions are more likely to support nationalism during times of outgroup threat, such as increases in immigration, socio-economic turmoil, and political/cultural shifts. By completing a global analysis of these phenomena, I am able to identify a more comprehensive pattern, something less expansive studies struggle to achieve due to hyper-partisanship debates that can overshadow case studies and regional analyses. Furthermore, by determining which socio-historical characteristics have the greatest impact on conceptions of a religious national identity, I provide a framework to develop a predictive theory on the circumstances under which a religion is not only primed to mobilize nationalist movements, but then comes to be employed to mobilize these movements.

H3K9me3 heterochromatin regulates gene silencing and plays key roles in genome stability and cellular identity. During cell reprogramming, H3K9me3 has been shown to block transcription factor binding and changes to cell identity. Recently, enhancer of rudimentary homolog (ERH) was identified as a master regulator of H3K9me3 and a repressor of reprogramming in humans. However, the roles that specific ERH protein amino acids play in its function remain unknown. We hypothesize that elucidating the role of ERH and identifying pivotal amino acids will enhance our understanding of its molecular mechanisms. We are targeting amino acids which are evolutionarily conserved as these are more likely to be important for ERH function. We have shown that the ERH knockdown phenotype of low proliferation and decreased H3K9me3 can be rescued by exogenously expressing a wild-type copy of ERH. Our approach has involved generating mutant variants of ERH, introducing them into cells where the endogenous ERH is depleted and then assessing whether they rescue the phenotype. To efficiently assess many amino acid substitutions in the ERH protein simultaneously we are developing a multiplexed alanine scanning approach with Nanopore readout in a functional screen. In this approach, multiple ERH mutants will be simultaneously introduced and integrated into the genomes of a population of cells with the endogenous ERH depleted. Mutant forms of ERH which do not rescue the proliferation phenotype are expected to decrease in abundance over subsequent proliferation. The ratio of exogenous ERH sequences will be assessed upon initial introduction and after 2 weeks by targeted long read DNA sequencing. Identifying which amino acids are important for ERH function will allow us to design further experiments, investigating their role in localization, protein-protein interactions and H3K9me3 regulation. Understanding the regulation of H3K9me3 heterochromatin will be essential to improve cell reprogramming, enabling autologous transplantation and regenerative therapies.

The composition of metropolitan governance has many effects on land use decisions, budget allocations, housing development, transportation planning, and racial, economic, and social equity in urban areas. However, there has been little academic inquiry into the effect of regional governance structure on transportation accessibility. This paper seeks to examine statistical linkages between regional governance fragmentation and trends toward and away from greater transportation accessibility in metropolitan areas. I perform a comparative statistical analysis of 47 of the 50 largest Metropolitan Statistical Areas, examining census data from 2002 to 2022 and transit accessibility data from the University of Minnesota Accessibility Observatory from 2014 to 2021 to examine this relationship. The causal factor I investigate is metropolitan governance fragmentation, which I capture through a Governance Fragmentation Index (GFI). The dependent variable, transportation accessibility, is captured through an Accessibility Gap Index, which categorizes transportation access through accessibility levels throughout each Metropolitan Statistical Area, utilizing data from the Accessibility Observatory from 2014 to 2021. My analysis controls for potential confounding variables, such as geographic area, population size, poverty levels, and region. I expect to find that lower levels of governance fragmentation in a Metropolitan Statistical Area will be associated with greater gains in transportation accessibility. Whether or not a significant relationship is identified, the research conducted will contribute to literature and ongoing research surrounding metropolitan governance and transportation accessibility.

As the percentage of individuals facing homelessness rises, many organizations working closely with unhoused populations aim to secure consistent housing and essential resources for those who lack this necessity. There are roughly 14,000 individuals facing homelessness in the greater Seattle area. Previous studies have shown positive correlations between employee well-being and job performance. Our research aims to investigate worker well-being among staff members who are currently employed at the Compass Housing Alliance, an organization working closely with unhoused populations to provide both housing and access to other essential needs. This research utilizes the National Institute for Occupational Safety and Health (NIOSH) worker well-being survey. We collected data on five factors that influence the perceptions of 75 staff members on their overall well-being including workplace safety, mental wellness, leadership support, coping strategies and job satisfaction. Expected results from our survey indicate that staff members' perceptions significantly impact their overall well-being. Collecting data using quantitative methods enables us to gain a deeper understanding of these current perceptions in order to utilize relevant resource implementation in areas where gaps are identified to support the needs of staff and improve their well-being.

Neuroscience research relies heavily on cell counting to assess brain injury and evaluate neuroprotective treatments. While manual methods (i.e. hand counting) have been used traditionally, automated programs offer the potential for standardized and error-free data analysis. In the context of studying hypoxic-ischemic encephalopathy (HIE), a prevalent brain injury in infants, we aimed to assess the accuracy of an automated cell counting program in an in vitro slice culture brain injury model of injury and treatment. Code templates from ImageJ/Fiji were taken and modified using ChatGPT, and other snippets were used and modified from online forums like GitHub. The program searches through folders/subfolders for images, converts them into a binary image based on fluorescence threshold data (used to stain cell nuclei), applies the ImageJ function “watershed” that breaks larger groups into smaller groups, runs the “analyze particles” function which outputs a total cell count based on the size and circularity of the cells, and then saves the final image. Fluorescence threshold, cellular size, and circularity values were determined before data collection by adjusting the values to best fit the final image of a random slice. The settings were then kept consistent within studies. Preliminary results show the program’s high accuracy and precision, with consistent results across caffeine and Azithromycin treatments in our in vitro injury model. Despite yielding higher counts than manual methods, the program remained consistent across models. Validating this automated method represents a significant advancement in research methodology. These programs offer standardized data collection, error elimination, and faster analysis compared to manual counting, potentially saving time and resources for labs. Current limitations in our research involve differentiating between healthy and dead or dying cells, which would be an important future step for automated cell counting.

The fallopian tube function is central to several pathophysiological processes from facilitating fertilization to initiating ovarian cancer. However, existing models to study these functions are limited in relevance to the human condition due to the available conventional cell sources and culture systems. Many make use of mouse models that do not naturally develop pathologies such as ovarian cancer and lack the ability to replicate human genetic variation. Others use traditional 2D culture systems that have been shown to be poor in maintaining fallopian tube epithelium (FTE) secretory and ciliated function. Here, we propose to develop a novel in vitro model of FTE that is easy to manipulate and better mimics the in vivo environment through use of induced pluripotent stem cells (iPSC) as a cell source and a scaffold-based microfluidic culture system. We have modified an existing protocol and found that 3D culture allows for generation of organoids expressing FTE markers faster and at a higher rate. Additionally, I have developed a prototype device with a lumen and assessed cell viability and behavior of seeded immortalized FTE to establish the device. Further work can be done to elucidate drivers in FTE maturation through assessing primary FTE function in the device, and incorporation of iPSC-derived FTE cells into the device for studies on functional maturation.

Glomeruli are the basic filtration unit of the kidney. The current understanding of its physiology is limited by the partial or 2D analysis of its structural components. The Vaughan Group uses optical super-resolution microscopy in combination with advanced chemical labeling techniques and powerful data analysis approaches to perform high-resolution 3D reconstruction of the whole mouse glomeruli. Overall, the work has the potential to provide a novel understanding of the glomerular structures and how they are altered in aged and diseased conditions. The labeling of the overall morphology of the glomeruli is achieved by chemically labeling the distribution of abundant macromolecules (carbohydrates, amine, and DNA) using Fluorescence Labeling of Abundant Reactive Entities (FLARE). Though we could visualize the general physiology of the sample with FLARE, incorporating specific targeting of molecules with FLARE is still challenging. My role is to optimize the FLARE protocol to add the capability of labeling the distribution of specific molecules using immunolabeling. The most challenging part is that all the fluorophores labeled prior to FLARE will be bleached out by the strong oxidation step while labeling carbohydrates. I am focusing on exploring possible workarounds to incorporate immunostaining with FLARE. The only way to bypass the bleaching fluorophores is to label dyes after the FLARE. However, the FLARE involves the gelation part, and the gel makes antibodies which are linked to fluorophores hard to get into the sample. So, instead of using regular secondary antibodies, I use biotin and then link to the streptavidin dye, which is smaller in size and easier to enter the sample. With this optimization working, we could incorporate whatever target of interest with high resolution on top of three general stains provided by FLARE, giving us an extra degree of information for our 3D reconstructions of glomeruli.

Plants' defense mechanism against herbivory and disease is integral to both natural ecological balance as well as global food supply. Induced plant responses to these threats are often triggered by specific molecules such as Herbivore Associated Molecular Patterns (HAMPS) and Pathogen Associated Molecular Patterns (PAMPS). In this project, we are refining a Luciferase Reporter Assay (LRA) and then using that assay to categorize novel HAMPS and PAMPS. This assay’s first main part is the HAMP/PAMP Receptor (HPR). By inoculating a Nicotiana benthamiana (NB) leaf with an Agrobacterium containing a Plasmid with an HPR, we are expressing specific HPRs. We are then using the second part of the LRA, a Luciferase Reporter, whose promoter is tied to an immune response related gene to measure levels of immune activity without the need for Transcriptomic Analysis. After we have infiltrated the NB leaf with the vector containing Agrobacterium and induced a response by adding a HAMP/PAMP, we are measuring Luminescence as a proxy for immune response via an imaging machine, then using R to run an analysis on the levels of immune response, helping us characterize an HPR and its signal pathway. We recently optimized time points for HPR and Luciferase imaging and have found that infiltration by Agrobacterium only takes 24 hours for sufficient plasmid integration. As such we are using this assay to run an experiment on the molecular mechanisms of an HPR in only a few days. Refining this LRA and the information we have gathered has helped shed light on the underlying mechanisms used in induced plant defense. In the future, we are planning on expressing genes of interest using this technique to seek novel activators and suppressors helping us further understand mechanisms of plant defense.

The last few decades have marked an ongoing struggle between the highland Indigenous groups of Northern Thailand and the Thai government over the settlement and use of lands located inside of protected national parks. According to the Thai government, these native groups, including the Karen people, use practices that are harmful to the local environment and amplify climate change's effects. However, many others, including academics and Karen activists, argue that Indigenous knowledge and practices are in fact more beneficial to the environment than simply leaving nature alone. This paper examines the validity of these assertions by exploring how the Karen group interacts with the environment through their culture and what effect this has on environmental factors such as climate change and biodiversity. Findings from literary research, artifact observation at the Burke Museum, and interviews with various experts with experience involving these land rights issues suggest that Karen people’s culture is in fact what informs their respect for their local environment and the reason why their environmental practices, such as rotational agriculture, usage of natural materials for clothes and tools, and their general treatment of the natural world are mutually beneficial to both Karen people and the environment. My research also suggests that there is immense value in protecting Karen culture both within their communities and from the threats of the Thai government and its dominant culture. By better understanding and appreciating this knowledge that Karen and Indigenous peoples as a whole have based on years of experience on their native land, we will be able to understand the importance of protecting Native peoples’ right to their lands for both the good of the environment and those living within it.

While environmental writing is nothing novel, environmental journalism as a beat and research area is relatively recent. The available literature on the field provides insight into the challenges environmental reporters face and what their environmental backgrounds in the field are, but little research details how they respond to challenges and why they originally chose the beat. This research examines how environmental journalists respond to the challenges they face, what values they attribute to the beat, and why they chose to write about the environment. My hypotheses are that these reporters have had influential experiences in nature; they see their work as a form of social activism; and they rely on their social connections as a form of support. For my sample, I first used random systematic sampling, followed by purposive sampling to reach targeted demographics, such as gender and race. I conduct semi-structured, in-depth interviews to collect my data, with a goal of at least 15 interviews or until saturation. So far, I have conducted five interviews that average around 45 to 60 minutes each. Most of them grew up as outdoorsy people, all of them see their work as important, and most find that talking to someone about challenges they encounter is helpful. Through more interviews, I hope to begin recognizing strong trends in responses to compare to my hypotheses. In addition to filling the gaps in the literature on environmental journalism, this research provides these reporters with a chance to talk about their experiences and challenges. Additionally, building on this beat as a research area could help provide data to create a meaningful support network for environmental reporters. As climate change intensifies and more people feel its effects, it’s imperative that these journalists feel supported enough to continue highlighting climate solutions and inequities to advocate for climate action.

In my research, I explore the role of children in Late Bronze Age Mycenaean society (ca. 1600-1100 BCE) by focusing on the relationships, socioeconomic and religious roles, gender dynamics, and burial practices of and for children, as well as ideas surrounding adolescence and the representation of children in Mycenaean art. Children hold a unique role in society, and it is important to understand the roles and perceptions of children. In doing so, we gain a better understanding of the experience of childhood as well as the culture as a whole. I begin by defining Mycenaean views on childhood, providing a framework to contextualize the discussion. This project is a synthesis of previously published data, incorporating the Linear B tablets, sites, excavations, and art from Late Bronze Age Mycenae, explored in this paper through comparative analysis. I utilize a similar approach when discussing the burial practices for children, focusing on burial architecture and style and archaeological reports on specific sites, such as Ayia Sotira and Mycenae. By studying the roles and lives of children, we gain insight into generational dynamics, family structure, gender roles, and domestic dynamics, which all contribute significantly to understanding the cultural structure of a society. Through the specifics of material culture, social spaces, and practices involving or surrounding children, I look to develop a larger picture of the experience and significance of children in Mycenaean society, in effort to give context and perspective for existing and future research surrounding Mycenaean culture.

In recent years, the Evangelical church in the United States has begun to see a decline in attendance which mirrors earlier declines in more mainstream denominations. Some who leave Evangelical congregations go on to host podcasts, write books, and speak at conferences about their experiences inside Evangelicalism and their journeys out of it. As they do so, these ‘Exvangelicals’ create meaning around their experiences, form new identities and communities around their newfound disbelief, and create spaces for, and inform the journeys of, other Evangelicals who are questioning their participation in the American Evangelical church. The intensity and frequency of the creation of new identities and communities around a former religious affiliation seems to be unique to Evangelicalism. This paper examines how and why these individuals come to leave Evangelicalism and create identities, media, and physical and psychological spaces oriented around that choice and considers whether the unique culture of American Evangelicalism may contribute to the likelihood of forming these communities. I conduct a qualitative analysis of 30 publicly available interviews of individuals who have left American Evangelicalism and now participate in public discussions of their exits. I expect to find common narratives around the strictness of family-of-origin religious experiences, feelings of betrayal or disillusionment, and similarly held political and social values among interviewees, as well as cultural and personality traits which may predict which individuals choose to become outspoken in the movement. It provides a better understanding of the newly formed and growing group of self-identified ‘Exvangelicals,’ their experiences, and the process of group identity they have undertaken, as well as describing the ways they connect and interact, and how they replicate aspects of the church they have left behind.

Media coverage of the National Hockey League (NHL) has brought public attention to many accounts of physical and sexual violence, hazing, and illicit drug use by players and coaches over the past 20 years. My research investigates the institutional mechanisms the NHL, its teams, and the players union use in response to cases of criminal behavior by their athletes. I ask how consequences for player criminality vary by type of crime, status of player, and player network. I compiled a dataset of all incidents covered in the news or social media between 2009 and the present, and then identified the response type through qualitative coding and comparison. Given prior theorizations of men’s collegiate athletics as crime-facilitative environments based on low punishment risk and high temptation to participate in criminal deviance, I expect to find that fine-related punishments are levied more frequently against high-status NHL players and high level player networks than are playing-time related penalties, protecting their ability to continue contributing to a franchise’s game performance. I also predict violent crimes will more frequently include playing-time related penalties, with League Commissioner approval more consistently mandated. I anticipate the team sub-organization to most frequently levy punishments for player criminality. This research introduces a more comprehensive examination of NHL player criminality, extending beyond existing approaches of case-based analysis. Importantly, this allows for future comparison to leagues such as the National Football League and its handling of player criminality over time. More broadly, I clarify the consistency with which deterrence measures are employed by the organization, contributing to the body of literature analyzing private organizations and their governing power over employees.

During the rise of the BLM movement of 2020, confederate monuments became a focal point of national debate, with heightened awareness of their historical context and implications for racial equality. My research seeks to leverage this moment of increased attention to explore how the presence of symbols of marginalization near voting stations may impact voting intentions and overall experience. In this study, Black and White Americans are presented with a simulated map along with a set of instructions that lead them to a nearby polling station. In the experimental group, participants received a map featuring Confederate monuments while participants in the control group received a neutral map with directions that avoided any mention of Confederate monuments. Once the participant correctly identifies the voting station on the map, they are asked a series of questions not only on the usefulness of the map but also on factors such as safety, comfort, the value of the vote, personal belonging, and likelihood of voting. Findings suggest Black participants exposed to Confederate monuments expressed a diminished value of their vote and reduced intention to vote, whereas White participants indicated no changes in voting intentions, perception of vote value, or a desire to change voting locations. As an extension to this study, I am currently conducting a replication study where participants are explicitly informed that the map represents a neighborhood in the South. After navigating the map, participants are asked not only about the impact of factors such as comfort, safety, value, personal belonging, and the likelihood of voting but also regarding their relative importance and influence on voting behaviors and intentions. Collectively, these studies have important implications for racial disparities in voting intentions and for advancing a more inclusive and equitable electoral process within the United States.

Existing studies show the importance of migration in ensuring both the livelihood and safety of migrants around the world, and that factors such as ethnicity and caste have a significant impact on an individual’s ability to migrate. My study aims to further explore the association between caste/ethnicity and the order of starting, intermediate, and most recent destinations a migrant passes through. To do so, I perform a sequence analysis on places traveled to by participants of the Chitwan Valley Family Study (CVFS) dataset. CVFS focuses on the Chitwan Valley region in Nepal, a country that hosts a variety of ethnic groups and has a wide range of destinations that its inhabitants migrate towards, with a much higher rate of human migration than other countries of similar population size or GDP. Using the dataset, I also search for common factors between caste groups, such as the kinds of intermediate locations they may travel to before heading to a more permanent destination, and how long certain castes take to migrate either due to legal issues, their own caution or the resources available to them. I expect people of lower caste to face more difficulty in migrating due to how caste profoundly influences social life in the region. This transforms how we view the impact of caste or ethnicity on migration, not just isolated to the Chitwan region but across any region involving the migration of multiple ethnic groups. It is also relevant to note that sequence analysis has little pre-existing use in migration sociology, especially when focusing on migration across multiple continents. Therefore, this study presents a new method of studying migration along with a better understanding of what goes on between the assumed starting and most recent point of a migrant’s journey.

Evaluating women in Ancient History could be difficult as patriarchal societies limited the representation of women, which resulted in little or biased documentation. Another obstacle was evaluating the accuracy of evaluating the authenticity and accuracy of reported events when there is such limited evidence of certain figures and events in Ancient History . However, regarding the feminist martyr narrative, I was able to evaluate the effects of the representation in martyrdom and how they could be applied to modern feminist narratives. To investigate the significance of the texts of women and martyrdom to values in the Patristic Era of Christianity, I analyzed women in the context of the Roman Empire compared to the Early Christian Church using primary sources. Introducing the consequences of martyrdom, I addressed the etymology of the word “martyr” and the connotations associated with the term. As my primary sources, I used the accounts of Perpetua and Blandina because their narratives were among the most well-known. Studying the divergence of feminine virtues of the Roman Empire and Early Christianity, I explained how the differences influenced the divisions and spread of the Early Christian Church. I also studied the retelling of their stories throughout history, which illustrated society’s expectations of women as opposed to the possible motivations of the martyred women. I discovered that the stories of martyred women were altered throughout history to perpetuate different ideals of femininity but at a closer look, the original narratives depicted a progressive depiction of women. This research exposed how the representation of women could be altered to fit an agenda and revealed the values of the authors of the narratives as well as the surrounding culture. This could be used to evaluate the representation of influential women figures today as well as the consequences of altering feminist narratives.

This paper examines several ancient sources for instances in which figures exhibit disconnection, aversion, or repulsion towards the erotic sphere that is so valued in societies. The paper will mainly focus on two myths: those of Narcissus (as illustrated in Ovid’s Metamorphoses) and Hippolytus (as shown in Euripides’s Hippolytus, Seneca’s Phaedra, Ovid’s Metamorphoses, and Ovid’s Heroides). In this essay, I argue that these figures can be read as asexual and that their untimely ends were brought about by their refusal to conform to the societal expectations placed on men–often characterized by vigorous sexual appetite, which would eventually lead to a man passing down his bloodline and fulfilling his duty to his oikos. Since myth often reflects real life, and works as a tool people can use to think about themselves, it can be argued that the inclusion of asexual-coded figures supports the contention that the asexual identity has always existed, even if the words to describe it are a more recent development.Therefore, the Narcissus and Hippolytus episodes are valuable pieces of evidence for both ancient and modern discourses of sexuality stepping outside the bounds of allonormativity. From a methodical standpoint, I first analyze the ancient texts, including secondary sources on them, then look at studies and papers on modern-day asexuality and examine the myths through this lens.

Affordable housing has recently emerged as a central focus of many policymakers’ agendas, especially in big cities, and they have implemented a variety of reforms to address this. In Seattle, the Mandatory Housing Affordability (MHA) program was rolled out in 2017, and then implemented citywide in 2019. The MHA created zones within the city, with new developments in MHA zones required to either build a certain number of rent-restricted affordable housing units for low-income people, or pay into a fund for affordable housing. Studies have shown mixed impacts of programs like the MHA on the housing supply; research about the impacts of such programs on housing and especially rent prices, however, is limited. Additionally, there is evidence that the effects of such policies are heterogeneous, varying by location and other factors. In this paper, I test for changes in rent and housing prices in Seattle overall using a difference-in-differences analysis. I also test for spatial variation within Seattle in these rent and housing prices by comparing MHA zones with non-MHA zones. The implications of these results will be important in addressing the next steps in housing policy. Since the MHA was a novel program in the inclusionary housing policy space, analyzing its effectiveness is crucial to determining how future policies should be shaped.

Implicit bias, rooted in unconscious attitudes, fuels discrimination based on race, gender, or sexual orientation, disproportionately impacting marginalized groups. Despite the development of interventions addressing provider awareness of implicit bias, the advancement of clinical education through technology has been slow. In the UnBIASED research project, we investigated the usability of ConverSense, a personalized communication assessment tool to raise healthcare providers' awareness of bias in their communication with patients. This web-based tool measures social dimensions such as warmth, interactivity, engagement, and assertiveness from recorded patient-provider visits, and visualizes these patterns through graphs and embedded clips. In this study, we (PT, NE) examined whether ConverSense meets usability standards through heuristic evaluations conducted by design experts. Six healthcare technology experts participated in the evaluation of ConverSense using Nielsen's 10 usability heuristics. Experts documented usability issues for each heuristic and rated their severity on a scale from 0 (not a problem) to 4 (catastrophic problem). Through our analysis, we (PT, NE) identified three cross-cutting themes: 1) Poor design, where experts noted the absence of undo or delete buttons, making navigation challenging, and the distracting color scheme on graphs; 2) Data visualization issues, with experts expressing difficulty interpreting charts and uncertainty about what is considered ideal or good communication. One expert said “It's unclear what is considered ideal/good…for each gauge chart, high interactivity, engagement, and warmth I would assume are ideal/good. But how the charts are displayed in the system I cannot know for certain”; 3) Ambiguity in information presentation, where experts sought more definitions for measured social dimensions and recommended training links to help them identify personal actions they can take to improve their communication. This study underscores the value of incorporating expert feedback and addressing usability issues to improve tools like ConverSense to address implicit bias and promote equitable patient-provider interactions.

In the United States, education has historically been utilized as a vehicle of cultural assimilation. What that looks like, and its goals, has varied across time and region. Initially starting as the dominant white, anglo-saxon, protestant culture violently and brutally oppressing and subsuming the cultures of all others (including Black Americans, Indigenous peoples, and immigrants of a variety of backgrounds), and in current times moving towards a co-existence state in which multiculturalism and cultural pluralism is championed. It has yet to be determined as to whether the education system has caught up to societal shifts and what it means in terms of racially and culturally non-dominant student experiences. The primary question is how has assimilation-based educational practices impacted culturally non-dominant students in K-12 public schools? I conducted a qualitative synthesis across federated search databases evaluating common themes of resiliency and success, risk factors and failures, and avenues of potential change. I included qualitative peer-reviewed studies from the year 2000 or later, that focused on K-12 public schools in the United States, and that focused on culturally non-dominant students. Preliminary findings include language barriers being insufficiently addressed, culturally insensitive and irrelevant curriculum, lack of acknowledgement on the cultural perception of the value of education within teaching pedagogues, black/white racial paradigms of diversity and achievement gap, insufficient modeling of Americanness that reflects all students and an accurate history of the United States, and gaps with data aggregation and the resulting need for further research. Implications and future directions include key data disaggregation in research and school-based data collection, a reconsideration of what constitutes “standard” curriculum, and teacher education focused on humanistic and equitable principles.

As the Anthropocene progresses, environmental stressors are becoming more noticeable in their impacts on aquatic ecosystems and the organisms that inhabit them. One such organism of environmental and ecological importance is the Pacific oyster, C. gigas. Under climate change, molluscan shells are likely to become weaker due to lowered calcium carbonate availability which may lead to increased mortalities. In Washington state, C. gigas provides 3200 jobs annually and lowers nitrogenous waste concentrations. Our focus in this work was to determine if temperature and pH would affect shell strength in C. gigas as climate change continues to affect their environment. We used C. gigas samples that grew in Puget Sound, Washington, over the summer months. Samples were tested for maximum load of pressure shells could withstand and correlating that to thickness to determine strength. We found that temperature and pH were not correlated to shell strength. We observed that the shell strength of C. gigas taken from Puget Sound did not depend on temperature or pH changes. Previous molluscan shell strength experiments in other settings and locations show contradictory results, but there is little evidence pertaining specifically to C. gigas. These experiments are typically conducted in laboratory settings as well, not in field settings like ours. Going forward, this concept should be reconsidered to confidently identify what the Anthropocene has in store for C. gigas.

Marine heatwaves have altered ecosystems globally, including changing community composition and facilitating the spread of invasive species. In south Puget Sound, Washington (USA), non-native Pacific oysters (Magallana gigas) have been farmed extensively for almost a century and grown in enhancement sites, however, they have only recently recruited in the wild. This study explores how the appearance of Pacific oysters was related to spatially (eight sites) and temporally (decade) warmer summer water temperatures in south Puget Sound and compares oyster persistence across five sites where recruitment occurred. The largest recruitment event from 2012-2020 was in the summer of 2015, in the middle of the east Pacific Blob marine heatwave which led to warm water temperatures off the west coast of North America. Throughout the study period, the number of oyster recruits each year was positively correlated with warmer water temperatures. Oyster population densities differed across the five sites where recruitment occurred and generally declined after 2015, but showed no site by year interactions, which is consistent with spatially-variable recruitment and similar post-recrutiment survival. Mean oyster shell heights also differed among sites, which could reflect different growth trajectories or recreational harvest patterns. This study supports the claim that warming sea surface temperatures may interact with species introductions to change modern biogeography. 

This global change study examines the multiple-stressor impacts of heat and plastic leachates on a symbiotic clonal cnidarian, the aggregating anemone, Anthopleura elegantissima. Marine heatwaves and ocean plastics are two forms of anthropogenic pollution that are increasing and predicted to rise in future ocean conditions. In Puget Sound, intertidal marine organisms are most at risk of exposure to these combined stressors. In summer, low tides at noon leave intertidal organisms in stagnant warming water or fully exposed to desiccation. Marine heatwaves, like the one that occurred in June 2021, caused water temperatures to spike along Puget Sound coasts. Concurrently, road run-off and sewage likely expose intertidal organisms to higher concentrations of plastic leachates. Leachates are derived from machine-washed polyester clothing microplastics, polyvinyl chloride sewage pipes, and non-source point pollution that is swept through watersheds toward the coasts. Plastic pollution in the form of leachates is understudied in coastal ecosystems, compared to thermal stress. Plastic-derived leachates are the complex cocktail of chemicals that leach from plastics into the environment and are considered pollutants of emerging concern. We do not fully understand the impacts they have on the physiology of marine organisms, and even fewer studies address their impacts in the context of marine heatwaves. We will test physiological and photophysiological responses of aggregating anemones to thermal stress and plastic leachates, separately and combined. We will develop respirometry and light response curves for each of the treatment conditions and a control. We hypothesize that the cnidarian host will show increased metabolic activity indicating stress under both types of pollution, and that photosynthetic efficiency in the algal symbiont will increase with leachate exposure. We hope to use the results of this study to better understand how anemones and other cnidarians like corals are affected by the threats of plastic pollution and global warming.

The largest scale structure in the universe creates a cosmic web. Nodes of the web are connected by mega-parsec scale filaments of warm gas, galaxies, and cold dark matter. Cosmic filaments are typically assumed to form and cool uniformly in many cosmological models. Recent works suggest that the internal structure, particularly with regard to the cooling mechanism, may be more complex. Gas clouds larger than a characteristic length appear to shatter as they cool below 106 K, fragmenting into smaller cloudlets. Other factors may also contribute to a more turbulent and irregular structure. The behavior of these filaments has implications for many of the issues at the forefront of astronomy. Cold dense clouds could create Lyman limit systems in the early universe, restricting the the distance that ionizing photons can travel. Further, the structure of these filaments may influence the mass of dark matter and constraints on cosmological models. To study these systems, I am simulating the formation of a single cosmic filament using a cosmological hydrodynamics code. Together with my mentor, I derived functions for the initial displacement and velocities of the particles from theory to create the desired collapse of matter into a filament. I then run the simulations with these initial conditions on a supercomputer, enabling simulations with tens of millions of particles. The simulations have mass resolutions that have not been previously achieved, allowing us to better understand the internal behavior. Preliminary findings indicate that there is indeed a complicated structure within the filaments.

The lithium isotopic composition of metasomatized rocks preserves a history of fluid movement that may be related to large subduction zone earthquakes. High pressure and temperature conditions within subduction zones cause the dehydration of hydrous minerals, and the resulting fluid can raise the pore pressure and trigger slip along the plate interface. The role of fluid movement in subduction zone processes can be better understood by constraining the duration of these events. These relatively fast and periodic fluid increases are recorded by chemical diffusion between the fluid and rock. Fluid containing lithium within a subduction zone can drive the diffusion of lithium into the surrounding rock. Lithium has two stable isotopes that diffuse at different rates, ⁶Li diffusing faster than ⁷Li, creating spatial heterogeneity in the isotopic composition of the reacted rock. Metamorphic rocks from the Western Alps have a reacted rind structure where fluid interaction occurred within an extinct subduction zone. The period of this interaction was examined using lithium isotopes. I prepared these samples for isotopic analysis, first weighing rock powders, then digesting them in acid, and finally separating the lithium with cation exchange columns. Lithium isotopes were measured on a multi-collector inductively coupled mass spectrometer. The spatial distribution of lithium isotopes along the profile from the reaction rind to the unreacted core, together with a thermodynamic model of Li diffusion through the rock, constrain the duration of the fluid interaction and provide insight into the role of fluid in catalyzing slip along the plate interface. I expect the duration of this fluid contact to be short, consistent with pulsed fluid movement within subduction zones. Modern subduction zones, including the Cascadia Subduction Zone that underlies Seattle, pose seismic hazards that can be better understood by examining the relationship between fluid movement and slip in extinct subduction zones.

Massive stars place powerful constraints on stellar evolution and exhibit a wide range of exotic evolutionary phases. They play a crucial role in regulating their environments, driving the chemical evolution of host galaxies, and establishing energy equilibrium through feedback processes. Stellar variability, notably, acts as a profound probe into the poorly-constrained physics of massive star evolution, illuminating intrinsic properties such as surface gravity. Drawing upon the collective insights from past literature on the dynamics of stellar rotation and surface gravity, this project delves into the correlation between variability metrics from the Zwicky Transient Facility (ZTF) and surface gravity measurements from the Apache Point Observatory Galactic Evolution Experiment (APOGEE) data. By merging these datasets, our aim is to use modern statistical methods to decode the relationship between observed variability and surface gravity in massive stars, shedding light on their rotational behaviors and structural changes over time. This endeavor not only seeks to deepen our understanding of stellar mechanisms but also to improve the precision in classifying stellar masses by utilizing variability as a key diagnostic tool. We endeavor to connect empirical observations with theoretical frameworks, paving the way for future advancements in our comprehension of stellar dynamics and their cosmic significance. Our results will place key constraints on the study of massive stars.

Modern astronomical survey telescopes, like the Vera C. Rubin Observatory and Extremely Large Telescope, are projected to produce terabytes of data each observing night, raising the need for efficient machine learning algorithms to flag astronomical data for further study. One such algorithm is the Random Forest (RF) algorithm, which has previously been demonstrated to process some 2.36 million different galaxy spectra data (in 12 hours over 128 CPUs) for any potentially unique or even undiscovered phenomena. However, this previous demonstration used spectra taken from the combined light of a given galaxy. RF algorithms are ensembles of structures called “decision trees,” which categorize data points with value-comparison questions. This method can be extended to create a metric to calculate how unusual a data point is compared to other points in the dataset. Our project will extend this RF algorithm for the Mapping of Nearby GAlaxies survey (MaNGA), which accounts for the fact that spectra vary with regions of a galaxy. We explore the behavior of the RF algorithms when accounting for these spatially-varying features. Our methods include the generation of synthetic data to train random forest algorithms, RF model hyperparameter searches, and comparison of models. Furthermore, our project compares the similarity of our results to the results from Baron and Poznanski (2016), which previously applied the RF algorithms to the 2.36 million spectra data. We present the conclusions from the RF algorithms and whether prevalent emission lines are flagged by the algorithms, such as hydrogen-alpha and O-III lines. Our project also discusses the features characteristic of outlier galactic region spectra data. Successful implementation of the RF algorithms to process data pipelines from upcoming large surveys has the potential to accelerate the rate of astronomical discoveries to unprecedented levels.

Zooplankton are important primary consumers in the marine food web and lead an important role in carbon cycling in the open ocean. Understanding what influences zooplankton community composition can help us understand the impacts of climate change on this delicate relationship. Current research shows that zooplankton communities change based on currents and chemical cues, but there is a lack of data about the community structure of zooplankton in the Western Equatorial Pacific, specifically between 5°S and 5°N along 167°W. Data was collected from 28 December 2023, through 10 January 2024, on the R/V Thomas G. Thompson near American Samoa. A closing zooplankton net with 200μm mesh was used for net tows from 200m to surface at stations between 5°S and 5°N along the 167°W longitudinal line. Net tows were processed by counting and identifying zooplankton groups from subsamples and data was converted to abundance utilizing standard equations in RStudio. Zooplankton abundance increased from 5°S to the equator and decreased after the equator to 5°N. Species diversity (Shannon-Weiner) was lowest at the equator and highest at 5°N and 1°S. Calanoid copepods had the highest abundance over all sites, and north of the equator, calanoid copepods and gelatinous zooplankton (larvaceans) dominated most of the species composition. There were no significant relationships between species community composition and temperature, salinity, nutrients, or currents. With many processes occurring with zooplankton in the open ocean, it may be that multiple variables are impacting the resulting diversity and abundance relationships. Additionally, data was collected during the 2023 – 2024 Strong El Niño, which could have impacted the abundances and species presence due to higher water temperature and stronger currents. Monitoring zooplankton composition over time is vital for monitoring the health of our oceans as it has implications for global fisheries and carbon cycling.

In this study I examined the spatial distribution and concentration of various xenobiotic contaminants in the waters of the equatorial Pacific near American Samoa. Using state-of-the-art mass spectral techniques, I determined if pollutant loads increase near urban environments, as well as how individual manmade contaminants present spatially. I collected water samples in the region around American Samoa, then extracted pollutant chemicals from the sample via solid phase extraction using hydrophilic-lipophilic balance (HLB) cartridges and performed analysis of chemical concentrations using gas chromatography-mass spectrometry (GC-MS). This was followed by a detailed spatial comparison of the chemical pollutants. Industrial anthropogenic pollutants such as benzyl butyl phthalate and n-Tridecane were confidently found near the airport and fuel depot in American Samoa. Spatially, compound abundance was generally found to decrease moving away from urban environments. Assessing the spatial distribution of xenobiotic pollutants in relation to urban environments can help improve current understanding of how much manmade pollution is entering and persisting in the ocean, which can endanger ecosystems and human health.

Eelgrass (Zostera marina) is a marine flowering plant that provides important ecological, environmental, and economic services in the Puget Sound. Z. marina reproduces both asexually and sexually; however, the cellular regulation behind each mode of reproduction is poorly understood. Establishing Z. marina’s regulation behind sexual reproduction will improve predictions of Z. marina’s resilience to anthropogenic pressures. FLOWERING LOCUS (FT) is a highly conserved gene that promotes floral development in flowering plants and is well-characterized in the model organism A. thaliana. As a marine flowering plant, we hypothesized that a homologous, functionall FT exists within Z. marina. We identified 13 candidate Z. marina FT homologs (ZmFT), and from analysis of relative flowering time, 5 homologs of interest emerged: 2 that promote flowering, 2 that inhibit flowering, and 1 that has striking sequence conservation to A. thaliana FT, yet has no observable impact on flowering. To determine how intracellular distinctions alter the function of these respective Z. marina FT homologs, I am currently investigating putative protein-protein interactions of the ZmFT homologs with components of the A. thaliana floral activating complex, such floral promoting transcription factors, and scaffold proteins . I can characterize these protein-protein interactions using Yeast Two-Hybrid assays (Y2H) and BiFC fluorescent microscopy In which protein-protein interactions between ZmFT and A.thaliana floral complex proteins yields either yeast strains with conferred prototrophy, in Y2H, or a fluorescent signal, in BiFC. From my Y2H and BiFC work, I will characterize interactions of the ZmFT homolog proteins, with known components of the A. thaliana flowering pathway. The results of this study will help define how Z. marina regulates flowering onset and sexual reproduction. 

Ocean acidification (OA), the lowering of the ocean’s pH due to human-driven increases in atmospheric CO2, threatens many coastal communities and industries, and is thus linked to high environmental, economic, and societal losses. Yet, OA and its local context remains under-discussed by educators, industry workers, and community members. To address this shortcoming, NOAA’s Ocean Acidification Program, the International Alliance to Combat Ocean Acidification, and the Aquarium Conservation Partnership collaboratively created the “Exploring Our Changing Ocean: Impacts and Response to Ocean Acidification in the U.S.” StoryMap collection. The six StoryMaps, which I researched for and storyboarded, support localized OA education, outreach, and calls to action by showcasing regional OA trends, impacts, and community responses taking place across each of NOAA’s six Coastal Acidification Network regions. The StoryMaps intend to 1) Increase understanding about impacts of carbon emissions on our oceans and contribute to aquariums' place-based storytelling efforts on addressing climate change in their communities, 2) Reach new audiences, specifically members of the public visiting U.S. aquariums and marine education centers, although traditional audiences, such as academics, government leaders, and seafood growers can engage as well, and 3) Accelerate calls to action by showcasing detailed personal calls to action which help move OA activities beyond science. Currently, I am working with the United Nations Foundation on effectively distributing the StoryMaps to partner aquariums and implementing the content into larger climate change narratives and outreach. The StoryMaps can be shared as interactive displays, virtual-learning materials, or hard-copy outreach materials in participating aquariums, as well as through networks like educators, non-profits, conservation organizations, or international climate leadership fora. Through regionalized storytelling, this project will increase awareness of local OA trends and responses, facilitating enhanced awareness and action in at-risk communities.

Economic sanctions as a means of pressuring nations to improve human rights protections or end human rights abuses have become an increasingly common practice in recent years. Although the efficacy of sanctions for humanitarian ends remains under heavy scrutiny, the United States Department of State continues to both implement new sanctions and enforce existing policies of this kind. However, there is a notable discrepancy between regimes accused of human rights abuses by non-governmental organizations and those receiving these types of sanctions. This research aims to unveil potential factors that may explain this gap. I theorize that while investment and trade may protect a country from economic sanctions in an effort to keep certain markets open, past or present adherence to communist ideology increases the likelihood of receiving sanctions on the grounds that communism remains a perceived threat. To test my theories, I identify a set of countries that are currently verified by third party organizations as human rights violators. At this point, I conduct multivariate regression analysis to observe the relationship of both economic interest and conflicting ideology and the presence of sanctions citing human rights violations. While I expect to find that while both factors contribute to the presence of sanctions as outlined, I also theorize that economic interest will have a greater influence. This study serves to identify specific influences on sanctions that will enrich future discourse on their implementation.

Timely and accurate rental measures are needed by market participants to assess the state of the housing market and shelter costs, which are primarily based on rent and rent-derived measures, representing about 40% of the Consumer Price Index (CPI). In addition, subnational measures are needed for a range of business operations and policy implementations. Property transactions are recorded and often publicly available. This has allowed the development of well established house price indices that are available at high temporal and spatial resolutions. This is not the case with rental contracts. Rental measures based on survey data are key to the CPI and other private and public sources have also been used to create rent measures in recent years. In our research, we review existing rent measures showing substantial variations in estimates of rent levels and trends across measures. We then focus on the strengths and limits of listing based measures. Finally we use listing data collected from several online platforms over the 2017-2023 period to compare them to existing measures. Our findings do show the potential and limits for developing repeat rent measures based on asking rents and the adjustments needed to make such data usable.

The most prominent international organizations have emphasized their commitment in aiding the global transition to a carbon neutral world, which is estimated to cost hundreds of trillions of dollars. Despite these global efforts to mitigate climate change, countries, even when faced with similar levels of threat to climate disasters, prioritize the immediate issue differently. This study explores the relationship between economic security and state climate initiatives as a way to explain countries' varying commitment to climate change mitigation. While many scholars focus on the ability democracies have to combat climate change, I build upon and synthesize theories of economic opportunity, welfare programs, and class solidarity to hypothesize that both individual and state economic security impact states' prioritization of climate initiatives. I argue that economic security is a likely influence on the magnitude of effort which states put into climate initiatives, as it reflects both individual ability to safely fulfill essential needs and state ability to adapt capital. To test my hypothesis, I run a multivariate regression analysis to examine whether key indicators of economic security correlate to state carbon emissions per capita, controlling for regime type, institutional trust, political unrest, and median age of the population. I expect to find a negative relationship between economic security and state carbon emissions per capita. These findings would suggest that improving economic security is essential for the development and success of future climate initiatives. Understanding the underlying roadblocks of long term climate mitigation is crucial in guiding climate policy and optimizing climate aid.

Although oft-cited, the effects of campaign finance are neither well-understood nor well-evidenced; in particular, the supposed vote-buying motive --- contributions given with the expectation the recipient legislator will change their vote on specific bills --- lacks systematic evidence, and literature is mixed both in findings and in methodological quality. Nevertheless, since 2000 (before which much of the literature of “vote-buying” developed), gross campaign expenditures have exponentially increased; prima facie, this suggests that contributors expect returns to their campaign contributions and that (if their expectations are not systematically irrational) campaign finance does affect political outcomes. Building on the public choice theory of regulation, I theorize agents pay the cost of campaign contribution to produce political pressure on a recipient politician, who must then trade-off between the support of competing interest groups. Thus, it is expected that increased campaign finance contributions from interest groups that favor a bill’s passage are associated with a ceteris paribus increased likelihood of the recipient politician supporting the bill. Moreover, because interest groups are heterogeneous in their ability to generate pressure, the estimated treatment effect should systematically vary by contributor type. Previous literature has generally attempted to find statistical associations between contributions from a select few contributing groups and votes on a handful of selected bills (often selected because they are ex ante expected to give significant results), while also failing to incorporate adequate regression controls. Hence, this paper attempts to reconcile the literature’s differing results by using logistic regression to examine a large dataset of US House members’ legislative votes from 1980-2022 and concurrent campaign finance data. This paper's primary contribution is to extend current methods into a large-n analysis, the statistical strengths and methodological limitations of which are informative for future research into interactive mechanisms in economic theories of regulation.

Tuberculosis remains a global public health threat due to the rising number of multi- and extensively drug resistant strains of the causative pathogen Mycobacterium tuberculosis. Development of novel drugs and an understanding of their resistance mechanisms is urgently needed. Aminothiazoles (AmT) are potent molecules with killing activity against M. tuberculosis; these compounds act as copper ionophores and target a key enzyme (enolase) by displacing its Mg²⁺ co-factor, a substance required for its activity, with Cu²⁺ imported by the compounds. Spontaneous mutations in an essential protein export system (the Esx 3 Type VII secretion system) confers resistance to AmTs. My research focuses on understanding how mutations in the secretion system cause AmT resistance. We hypothesize that copper imported by AmTs could disrupt other metallo-proteins including EccA3, a key ATPase of the of the Esx-3 secretion system that hydrolyzes ATP into ADP and inorganic phosphate, and that resistance mutations (e.g. E237K) reduce Mg²⁺ co-factor displacement by Cu²⁺. To test this hypothesis, I expressed wild-type (WT) EccA3 and mutant EccA3 [E237K] proteins in Escherichia coli BL21(DE3) expression strain and purified the proteins via Ni-NTA His-tag chromatography. Subsequently, I measured the activity of the purified EccA3 (WT) and EccA3 [E237K] proteins via an ATPase assay based on colorimetric detection of free inorganic phosphate released by ATP hydrolysis. I aim to understand whether copper inhibits EccA3 activity through this assay, anticipating that copper reduces EccA3 (WT) ATPase activity while EccA3 [E237K] ATPase activity is unaffected. Thus, my work will provide an avenue for understanding AmT resistance in M. tuberculosis.

Major Histocompatibility Class I (MHC) Molecules serve as a window into the cell, whereby T-cells can use their T-cell receptor to recognize foreign peptides presented on the MHC of a cell and induce apoptosis. Unfortunately, for diseases such as cancer, cancerous mutations may only be a single residue different from the native protein, resulting in similar mutant and wild-type peptide-MHCs. This small difference often results in negative selection of T-cell receptors that recognize mutant peptide-MHCs, leading to an absence of T-cells that can target cancer cells. This issue motivated us to use de novo protein design to generate binders with a high level of specificity between mutant and native peptide-MHCs. Using deep learning based protein design methods such as RFdiffusion and ProteinMPNN, we have generated promising in silico designs against a range of target peptides and MHC alleles. After selecting our top designs, we tested them using yeast surface display against our target MHC molecules with peptides loaded from KRas, PIK3CA, MAGE, and TP53 mutants. We observed binding events to all targets; some designs also had specificity to their respective mutant peptide-MHC over the wild-type peptide-MHC. After further work we have shown that the same design scaffold can bind to multiple peptide-MHC targets after slight redesign, similar to native T-cell receptors, holding promise that we could easily and quickly repurpose these scaffolds for new targets. Following these results we will incorporate our binders into T-cells as chimeric receptors and test for the ability of our binders to activate T-cell signaling and cell killing. This method of targeting peptide-MHC molecules is promising as a novel and rapid way to target cancer.

Researchers consider autoimmune disorders and immunodeficiencies to be two completely unrelated conditions. However, it has been shown that patients can develop both diseases in spite of opposing etiologies. This has led researchers to examine the commonalities between autoimmunity and immunodeficiency in terms of pathogenesis, clinical manifestations, treatments and, more recently, genetics. With genome sequencing becoming more prevalent and easier to access, researchers have been able to look at disorders of the immune system from the genomic point of view, identifying genetic mutations of key genes. One such gene is cytotoxic T-lymphocyte associated protein 4 (CTLA-4) because of its known immunoregulatory role in terminating immune responses. CTLA-4 directly regulates the development of T-cells by activating T regulatory cells, but it can also affect the development of B-cells in downstream effects. In this literature review of a multitude of sources, we show that heterozygous mutations of CTLA-4 can lead to patients developing both autoimmune and immunodeficiency manifestations such as hypogammaglobulinemia, autoimmune cytopenia, lymphoproliferation, autoimmune enteropathy, etc. Such mutations point toward commonalities in both autoimmunity and immunodeficiency, leading researchers to believe that these two diseases are more alike than different. With this newfound discovery, treatments can be developed to target the CTLA-4 gene in hopes of treating both autoimmunity and immunodeficiency in patients.

People with diabetes have an increased risk of developing cardiovascular disease (CVD). Hyperglycemia is the hallmark of diabetes, but diabetic dyslipidemia with increased circulating lipid levels is also present, which is believed to contribute to the augmented CVD seen in diabetes. The Cluster of Differentiation 36 (Cd36) receptor mediates fatty acid and lipoprotein uptake in macrophages. Lipid-loaded macrophages are a key feature of atherosclerosis, the underlying CVD pathology. Preliminary data suggest that monocytes (macrophage precursors) are lipid-loaded via increased Cd36. However, it is unclear what drives the increased Cd36 expression in diabetes. Reduction in blood glucose, but not lipid levels, in diabetic mice reduced monocyte cell surface Cd36 expression. Based on these preliminary data, I hypothesize that hyperglycemia induces increased Cd36 mRna expression in monocytes in diabetes. To address whether glucose or lipids increase monocyte Cd36 mRna expression, I will isolate monocytes from the bone marrow of non-diabetic mice and stimulate them ex vivo. To address if hyperglycemia alters Cd36 expression, I will stimulate monocytes with 4 glucose conditions: 5.6 mM, 15 mM, 30.6 mM D-glucose, and an osmotic control of 5.6 mM D-glucose and 25 mM L-glucose. The 5.6 mM represents non-diabetic blood glucose conditions. To address if dyslipidemia alters monocyte Cd36 expression, I will use the same 4 glucose conditions in conjunction with 50 µg/mL of VLDL, a triglyceride-rich lipoprotein that is elevated in diabetic dyslipidemia. Following a 24-hour stimulation, I will isolate monocyte RNA and use qPCR to determine the amount of Cd36 mRna. If elevated glucose induces an increase in Cd36 expression, this suggests that hyperglycemia stimulates increased Cd36 expression in monocytes in diabetes. However, if the presence of VLDL is required to observe an increase in Cd36 mRna, this indicates that dyslipidemia is needed for increased monocyte Cd36 mRna expression. Results from this study will help us understand the relationship between lipids and hyperglycemia in the context of diabetes-induced monocyte lipid loading.

Over 38 million Americans have diabetes, with 90% of diabetic Americans having Type 2 Diabetes. Diabetes causes an increased risk of complications, including diabetic kidney disease (DKD), a disease that affects kidney filtration. This occurs in the glomerulus, a specialized capillary network of single-layered endothelial cells on one side and podocytes on the other, and their extracellular matrix (ECM). Injury, reduced function, or changes in the ECM of either of these cells cause abnormal filtration and kidney disease. Preliminary data from our group suggests that ECM remodeling driven by endothelial cells is a key feature in DKD in both our mouse model and in humans. Additional preliminary data from our lab indicates that two metalloproteases involved in ECM remodeling, ADAMTS6 and ADAMTS9, are increased in endothelial cells in diabetes via elevated lipids. My hypothesis is that very-low-density lipoprotein (VLDL), a lipid often increased in diabetes, induces increased endothelial cell ADAMTS6 and ADAMTS9 expression, contributing to remodeling the ECM and altering the filtration capacity of the glomeruli. To investigate this, isolated endothelial cells from non-diabetic mice were stimulated with varying VLDL concentrations, alone or with elevated glucose, to simulate diabetes. Following the stimulation, I isolated the RNA from these cells and measured the mRNA expression of Adamts9 and Adamts6 using real-time PCR. To test if endothelial cells isolated from mice with diabetes would respond differently, similar experiments are being carried out in cells isolated from diabetic mice. Western blots are used to verify the altered protein expression I observe. I am utilizing already acquired kidney sections from mice with diabetes with different lipid levels and determining the glomerular endothelial cell ADAMTS9 and ADAMTS6 expression by immunohistochemistry. Results from these experiments will help us understand the mechanisms through which endothelial cells respond to diabetes and thus contribute to DKD.

Biofilm is a community of bacteria enclosed in an extracellular polymeric substance (EPS) attached to a surface. Inside the biofilm, bacteria can collaborate to increase their survival. The EPS also protects bacteria from drug penetration, leading to increased antibiotic resistance. Therefore, biofilm formation is often linked with chronic bacterial infections. Pseudomonas aeruginosa is an opportunistic pathogen that often causes chronic lung infections in cystic fibrosis patients. It is also a common model for studying biofilm formation. The initial step for biofilm formation is bacteria attaching to and sensing a surface. Upon surface contact, P. aeruginosa may produce cyclic adenosine monophosphate (cAMP), which is a universal second messenger that regulates cellular functions in both eukaryotes and prokaryotes. In P. aeruginosa, cAMP is synthesized by two adenylate cyclases, CyaA & CyaB, and degraded by a cAMP phosphodiesterase, CpdA. cAMP is a key regulator for P. aeruginosa virulence by upregulating the production of the type III secretion system, the type II secretion system, and the type IV pili. However, recent observations in our lab suggest that cAMP may also contribute to the homeostasis of the cell envelope. To investigate this phenomenon, I used microscopy to characterize the cell morphology of strains with different cAMP levels and found that increased cAMP levels lead to longer cells. I also found that high cAMP strains are more sensitive to êžµ-lactam antibiotics specifically, while low cAMP strains become more resistant. Ongoing work includes characterizing the genetic factors that connect cAMP and êžµ-lactam sensitivity, as well as using microscopy to determine changes in cell envelop induced by cAMP. Overall, this work reveals an important role of cAMP in bacterial physiology and provides insight into the complex relationship between virulence and antimicrobial resistance.

Pseudomonas aeruginosa is a ubiquitous environmental bacterium and an opportunistic pathogen of wounds, cornea, and the Cystic Fibrosis lung. P. aeruginosa is also a model organism for the study of bacterial biofilm formation. Biofilms are multicellular communities that form from bacterial growth concomitant with the production of extracellular polymeric substances (EPS). EPS includes polymers such as polysaccharides, DNA, and proteins; these polymers provide structure and protection to the biofilm cells. Proteomics experiments by the Parsek Lab and others have demonstrated that a notable component of the biofilm matrix are the secreted proteases. Secreted proteases have defined roles in virulence and nutrient acquisition, but their role in the biofilm matrix of P. aeruginosa has not been explored. I hypothesize that these secreted proteases recycle nutrients, remove cell waste, and protect cells from host immunity. To test my hypothesis, I generated a mutant strain of P. aeruginosa that lacks the six major secreted proteases. While we see that loss of the proteases does not impact planktonic growth, preliminary data suggests that loss of proteolytic activity results in moderately increased biofilm formation. Using a general proteolysis assay relying on casein hydrolysis, I have determined the relative contribution of each of the six proteases to the total proteolytic capacity of P. aeruginosa in planktonic growth. I will further test the impact of the proteases on biofilm growth in different growth environments, including under flow conditions and in artificial sputum medium. I will also assess which proteases contribute the most to proteolysis during biofilm growth. My work fits into a growing body of literature that suggests that the biofilm matrix is not an inert scaffold, but is instead a dynamic and active network.

The retina is a unique neuronal structure in the eye that facilitates vision. Many diseases cause the death of retinal cells and this can lead to blindness. Frogs and fish have retinal stem cells that can repair the retina after retinal cell death; these stem cells are concentrated in a region called the ciliary marginal zone (CMZ). It was thought that humans lack these cells; however, we have discovered a region of the retina that has some features of the CMZ. We call this the Late Proliferative Zone (LPZ). One of my research goals was to determine whether the LPZ in humans also contains retinal stem cells that could be harnessed to repair the injured retinae. To start, I measured the area of small cuttings of fetal retinal tissue grown in culture, called retinospheres (RSs), over time and identified a window from 250-325 days gestation in which the LPZ of the human retina continues to grow after the rest of the retina is quiescent. This result shows that the cells of the LPZ can make new retinal cells much later than we thought, supporting the idea that these are retinal stem cells. My second goal was to find factors that can stimulate the growth of these cells. I tested several factors known to be important for the stem cells in frogs and fish. I found the effects of these factors on the types of neurons made by the LPZ. In sum, investigating different ways to manipulate the LPZ provides the field with insight into what is needed to regenerate cell types lost in blinding diseases.

Corepressors are proteins recruited by partner proteins to negatively influence the transcription of genes. TPL is a corepressor from the model plant Arabidopsis thaliana, and while we understand a lot about how TPL works, many mysteries still remain. My project aims to identify other proteins that work with TPL to form a transcriptional repression complex at a single-engineered promoter site. First, we created a synthetic repressor called dCas9-TPL that binds and represses the transcription of the RUBY reporter. The RUBY reporter is a visual marker designed to express throughout the entire plant, turning the green plant a bright purple. Our engineered RUBY line also carries two guide RNA binding sites in its promoter with sequences not found anywhere else in the Arabidopsis genome. This allows dCas9-TPL to bind to and repress this synthetic gene and not affect the transcription of other genes. Many of these plants have morphological phenotypes, and visual screening of the repressed RUBY line showed the plants turn a faint whitish-pink instead of bright purple, signifying that the repression by TPL is working. I have screened mutagenized populations of 40,000 individuals from the validated repressed RUBY plant strains using the Ethyl methanesulfonate (EMS) protocol, which creates new point mutations. I identified 257 individuals from 129 mutagenized families with bright purple organs, which signifies that the RUBY reporter is no longer repressing due to a putative TPL interactor being mutated. I will then proceed to form complementation groups and subsequent DNA sequencing to map the mutations. By identifying regulators of corepressor function in plant biology through downstream whole genome sequencing, I hope to learn principles that can inform cellular engineering across many organisms and better understand why certain mutations associated with transcriptional repression cause developmental defects or diseases like cancer in humans.

3D measurements made with digital tools are increasingly useful for studying morphology, but methods that capture sub-millimetric detail are rarely portable, inexpensive, or usable on live animals. These issues are especially troublesome when studying bird bills, which are often small, complex, and delicate to handle. I strove to develop a method that could cheaply, accurately, and quickly generate models of live hummingbird bills in the field. Using photogrammetry, I scanned Burke Museum specimens of several hummingbird species modifying aspects such as light, number of cameras, and number of photographs, to determine the ideal conditions for generating bill models. After developing a methodology, I scanned Green Hermit (Phaethornis guy) specimens from the Burke to establish the efficacy of the system in determining sexual dimorphisms in bill curvature and bill surface area. I then applied the methodology developed in the museum at a replicated setup in the San Juan Islands to study live Rufous Hummingbirds (Selasphorus rufus). This system is capable of quickly capturing and posterior rendering high-resolution 3D models, is field-amenable, allows color analyses, is adaptable to subjects of a variety of sizes, and is easy to update. In hummingbirds, fine-scale details like sharpness, curvature, and minute variations in bill-tip shape can have large behavioral implications. They can tell us more about how bills are used for feeding, fighting, and preening. However, bill tips are delicate, and fine details are difficult to preserve and easily lost in museum specimens due to wear and tear. A complete picture of bill morphology requires individuals that cover a wider range of life history than those commonly available in a museum collection. The 3D imaging of these traits in the field represents a powerful new way to learn about bird bills and other fine-scale features in live animals.

In the face of a global crisis, the poaching of pangolins (Manis spp) has emerged as a dire threat, with Africa at the epicenter of this illicit trade; these enigmatic creatures, sought after for their scales and meat, face exploitation driven by illegal activities that endanger their populations and disrupt the balance of the African ecosystems. Studying the lineage distributions of pangolins could prove crucial for their protection as it provides valuable insights into their evolutionary history, genetic diversity, and ecological adaptations. This information may be essential for formulating effective conservation strategies, understanding their vulnerabilities to diseases, and identifying key habitats for preservation. We aim to address these gaps, by exploring whether pangolin (Manis temminckii) lineages from Mozambique can be genetically distinguished from those from Southern Africa and by investigating the region of origin for two scale samples seized by law enforcement in Singapore in 2019. We conducted genetic and phylogenetic species delineation by sequencing two mitochondrial genes, Cytochrome b oxidase (cytb) and the Control Region (D-loop), from pangolin skin tissues from 10 villages in 3 provinces in Mozambique to complement existing data from Southern Africa. We will then use RAxML (Randomized Axelerated Maximum Likelihood) for phylogenetic analysis and to estimate phylogenetic trees based on our collected data. This multi-locus approach ensures robust species delineation and provides essential support for species recognition. Our focus on mitochondrial DNA (mtDNA) in Mozambique aims to make a reference map of the distributions of genotypes throughout Southern Africa, and our research contributes valuable genetic insights, offering a nuanced perspective on the spatial dynamics of pangolin populations. Ultimately, these findings play a pivotal role in addressing the complex issue of illegal wildlife poaching in Africa, providing essential resources for conservation efforts and informed management strategies as well as contributing to the field of forensic science for counter wildlife trafficking.

Sambucus newtoni is a type of elderberry (Adoxaceae, Angiospermae) from the late Eocene epoch. It has not received much research attention since its discovery in the early 20th century. Researchers identify it based on its leaflets (parts of compound leaves), with other traits inferred from more modern Sambucus species. As a result, its flower morphology has remained unknown. Here, I contribute to our understanding of S. newtoni by describing an excellently preserved compression fossil of a floret (small flower) from a S. newtoni cluster of florets, a so-called cyme. The fossil was collected from lake deposits in the Florissant Formation, Colorado. I described and analyzed the specimen with a microscope and observed extremely well-preserved petals and anthers (male flower parts). The flower sits next to a fossilized fly specimen on the adjacent sedimentary rock layer. The close similarities of the flower of S. newtoni to that of the extant species S. javanica (Chinese elder) may help confirm recent common ancestry as originally suggested through comparisons of the leaflets. Further, improved understanding of S. newtoni through study of the new specimen may open the door to greater understanding of Sambucus evolutionary history as a whole.

In place of an adaptive immune system, pattern recognition receptors (PRRs) that perceive host-derived herbivore-associated molecular patterns (HAMPs) induce immune signaling cascades in plants. Inceptins are a class of proteolytic peptides that originate from chloroplastic ATP synthase that are produced in the oral secretions of all studied species of caterpillars in the order Lepidoptera. Upon introduction to the plant, inceptin-11 (+ICDINGVCVDA−) binds to Inceptin Receptor (INR), triggering a signaling cascade to up-regulate defensive hormones, specialized metabolite toxins, and other direct resistance mechanisms against herbivores. However, the full ecological extent of the effects of the INR signaling cascade is poorly understood. Here, we show that inceptin-11 signaling in common bean (Phaseolus vulgaris) can mediate the attraction of predatory wasps (Polybia sp., Polistes sp.) as an added, indirect line of defense against herbivore threats. Using a near-isogenic line of P. vulgaris containing a 103 base pair deletion in the INR locus, we found that Polybia and Polistes preferentially forage on sibling lines with wild-type INR that respond to herbivore threats. Siblings with fully functioning INR produce nearly three-fold more (E)-4,8-Dimethyl-1,3,7-nonatriene (DMNT), an established volatile wasp attractant, than the deletion line. Our results demonstrate that INR can leverage cross-kingdom predator-prey relationships to aid in defense of the plant. Moreover, our near-isogenic line of P. vulgaris provides a genetic resource for studying the role of pattern-triggered immunity in indirect defenses.

Alzheimer’s disease and related dementias (ADRD) are neurological disorders that affect cognitive function, including impaired memory, thinking, and reasoning, primarily in older adults (OA). Cultural and linguistic differences can pose additional challenges. The experience of ADRD differs between patients from diverse backgrounds, and language barriers can create additional challenges when communicating with healthcare professionals. Our overall objective is to improve healthcare processes for persons with ADRD and limited English proficiency (LEP) in the United States. In this phase of a larger qualitative study, we are seeking to understand the experiences of older adults experiencing dementia whose primary language is Chinese and their family members. To understand the experiences of this population, we are conducting semi-structured interviews with OA with LEP and ADRD and their family members. I am performing qualitative data analysis along with three other team members. Data gathered from these interviews is transcribed and coded using a codebook developed using the inductive method. In this poster, I present key themes that are emerging in our preliminary analysis. There are significant barriers in patient-provider interactions between healthcare providers, OA with ADRD, and their family members, in the context of LEP. A complex dynamic is formed as providers seek to convey information to the OA and family members who play different roles in an OA’s life, including but not limited to acting as interpreters. OAs struggle to adjust to their progressive symptoms as they lose autonomy over time while navigating life with ADRD. Language barriers, lack of understanding of cognitive decline, and denial can also exacerbate problems. By identifying challenges experienced in patient-provider communication in the context of ADRD and LEP, we hope to work with healthcare providers to equip them with a better understanding of how to serve this demographic.

The measurement problem is the challenge of reconciling the probabilistic and deterministic aspects of Quantum Mechanics. In this study, our primary aim is to unravel the measurement problem by investigating the possibility that quantum collapse occurs according to the probabilities presented by Born's Rule due to a perturbation on the system, appearing during the measurement process. Our group employs a multifaceted approach, where we examine the interplay between time dynamics and classical limits, alongside the influence of time-(in)dependent perturbations. Computational simulations serve as our primary tool in this exploration. One part of our group worked with a 3-well system with a time-independent perturbation, another part looked at a 2-well system with a time-dependent perturbation, and the last part saw what a time-independent perturbation does to a 2D-well system. We anticipate that our investigations will uncover critical parameters that are expected to yield probabilities consistent with Born's Rule, a foundational principle of Quantum Mechancis. This research points towards a potential reconsideration of quantum collapse as a dynamical, affected by the perturbation introduced by measurement. While preliminary, these findings contribute to the ongoing discourse in Quantum Mechanics and may offer insights for future theoretical developments and applications.

Alzheimer's Disease (AD) impacts over 6 million people in the U.S, but there are currently no fully effective treatments. Ageing is the biggest risk factor for AD and is associated with cellular changes called senescence. Cellular senescence describes a natural process in cells, leading to cell cycle arrest and metabolic changes due to insults from aging/disease processes. Factors contributing to senescence include DNA damage, and others. A risk factor in neurodegeneration is the ageing of microglia- our brain's immune cells that maintain a healthy brain. Senescent microglia express a senescence associated secretory phenotype- a combination of inflammatory proteins released into their environment- that enhances neurodegenerative processes. My project investigates the relationship between microglial senescence and AD by comparing the levels of senescence markers in AD brains, healthy young brains, and aged brains. I hypothesized that AD brains will contain the greatest amount of senescence markers, followed by aged brains, then healthy young brains. I performed immunohistochemistry for p16Ink4a and gammaH2AX (two robust senescence markers) on 10 human individuals (5 male/5 female per cohort) who donated their brain post-mortem. p16Ink4a is involved in cell cycle regulation and gammaH2AX signals DNA damage. The brain samples were also stained with Iba-1 to identify microglia. A confocal microscope imaged the samples and data was analyzed using the IMARIS software and ImageJ. Senescence markers were quantified in each cohort and localized in microglia or non-microglia cells. I expect to see the greatest amount of p16Ink4a and gammaH2AX in AD brains (specifically AD microglia), with the least amount in healthy young brains. I also expect co-localization of gammaH2AX and p16Ink4a in my samples. Understanding the relationship between microglial senescence and AD pathology could aid in finding methods to target cellular senescence. Slowing down this process could be a usefull tool in decreasing the progression of AD.

The Campanian stage of the Cretaceous (~84–72 million years [Ma]) was the zenith of dinosaur diversity. Western North America is highly fossiliferous and preserves Campanian-age rock units throughout the Western Interior Basin. Most studies that investigated dinosaur diversity from this interval used data obtained from macrosites (e.g., skeletons), whereas few have investigated vertebrate microfossil sites. Vertebrate microfossil sites are a rich source of data on biodiversity (e.g., taxon richness, relative abundance) and how it changes through time. The Judith River Formation of north-central Montana is rich in vertebrate microfossil sites, preserving 4 million years of the Campanian (~79–74 Ma). Here we aim to observe patterns of dinosaur diversity in the Judith River Formation by quantifying dinosaur taxon richness and relative abundances based on dinosaur teeth from two stratigraphically and temporally separated microfossil sites. These sites are the lower Makela-French 1 (~77 Ma) and the upper Clamfetti (~75 Ma). Presently, we have 300 specimens out of a planned 400. We hypothesize that changes in diversity and abudance occurred between these two sites. Our preliminary results reveal a change in dinosaur diversity between Makela-French 1 and Clamfetti. Hadrosaurs and ceratopsians are present and relatively abundance at both sites, whereas ankylosaurs decrease in abundance from Makela-French 1 to Clamfetti. Small herbivores like pachycephalosaurs and hypsilophodonts are rare at both sites. Theropods show similar patterns to the herbivore’s trends. Tyrannosaurs and dromaeosaurs are common at both sites, whereas troodontids are absent from Makela-French 1. These preliminary findings reflect diversity patterns that are not easily observable solely through the collection of dinosaur macrofossils. Our continued collection of fossils from Makela-French 1, Clamfetti, and additional sites will increase our sample size and provide better fine-scale resolution of dinosaur diversity patterns during this crucial interval in their evolution.

Pain is the number one reason why patients seek medical treatment, yet current pain therapeutics such as opioids have limited efficacy and produce harmful side effects. This has produced a critical need for the development of novel therapeutics for the treatment of acute and chronic pain. Cannabidiol (CBD) shows promise as an analgesic, but the mechanism of action is not well understood as it interacts with several receptors such as cannabinoid receptors CB1 and CB2 and noxious nociceptors TRPA1 and TRPV1. I am investigating how CBD acts on the nervous system to disrupt nociception (pain perception) utilizing the Danio rerio model system and human embryonic kidney cell line 293T (HEK 293T). I use behavioral assays with genetic knockout models to interrogate the molecular mechanism of CBD-mediated analgesia and ratiometric Fura-2 calcium imaging of HEK 293T cells that express TRPA1 or TRPV1 to further elucidate their responses to combinations of CBD, heat, and allyl isothiocynate (AITC, a TRPA1 agonist). My preliminary results indicate that CBD is pronociceptive at low concentrations (10uM) and analgesic at high concentrations (20uM). Recent experiments suggest that CBD’s pronociceptive properties occur via TRPA1 activation, and that this sensitization attenuates CBD-mediated analgesia. I anticipate each CBD receptor knockout will alter CBD-mediated analgesia, with CB1 and CB2 null animals experiencing deficits, while CBD-evoked analgesia may be potentiated in TRPA1 and TRPV1 null animals. I anticipate observing heightened intracellular calcium concentrations when HEK293T cells expressing TRPA1 are perfused with CBD, and increased responses to AITC when cells are perfused with CBD. Importantly, this project creates a platform for the investigation and characterization of minor cannabinoids and other potential therapeutics, using behavioral phenotype based screening to aid in the development of novel, non-opioid analgesics that can revolutionize pain treatment.

Many transgender and gender diverse (TGD) people desire gender-affirming hormone treatment (GAHT) to alleviate discomfort due to the misalignment of one’s gender identity with their secondary sex characteristics, though little is known about its effects on the body. One area of interest that may be affected by GAHT is the gut microbiota (GM). GM and the sex hormones (estrogen, testosterone, and progesterone) have been shown to interact bidirectionally, referred to as the “gut microsexome.” At puberty, the commensal microbiota of males and females diverge due to circulating sex hormones. This difference is hypothesized to contribute to sexual dimorphism of disease prevalence between cisgender males and females, although little research on the effect of GAHT in the TGD population exists. Alteration of the gut microbiota, or dysbiosis, also has many adverse effects that overlap those of testosterone GAHT (THT) such as acne, weight gain, and hypercholesterolemia. Dysbiosis has also been shown to lead to intestinal and systemic inflammation by disrupting immune function. More information on the effects of THT on the gut microbiota is necessary to counsel transmasculine clients effectively. In this study, we injected mice born of the female sex biweekly with testosterone enanthate dissolved in sesame oil versus sesame oil alone. We profiled GM of mice throughout treatment using 16S rRNA sequencing and measured markers of inflammation in serum to assess the effect of THT on both the population of GM and intestinal and systemic inflammation. We expect that the mice receiving THT will have differentially abundant gut microbiota and increased concentration of inflammatory markers compared to controls. The findings of this study will serve as a basis for further studies exploring additional analysis of the gut microbiota and inflammation in both transmasculine and transfeminine people receiving GAHT.

The four letters in DNA (ATGC) construct the basis of life as we know it. Unnatural base pairing xenonucleic acids (ubp XNAs) are synthetic nucleic acids that can be used orthogonally to the 4-letter code. XNAs have the potential to revolutionize a myriad of biotechnologies, but commercial sources of XNA nucleotides are limited and expensive. Here, we fill one step of an enzymatic cascade required to sustainably produce XNA nucleotides. Nucleoside phosphorylases (NPs) are enzymes that catalyze the reversible phosphorolysis of nucleosides to their base and sugar components. We purified and assayed promiscuous NPs from two thermophiles, Geobacillus thermoglucosidasius (GtNP) and Thermus thermophilus (TtNP). Using a combination of mass spectrometry and fluorescence assays, we show that these phosphorylases have activity on a subset of three XNA substrates (B, Sⁿ, and P). This enzymatic pathway allows us to synthesize non-standard nucleotides in a cost-efficient manner and provides a crucial tool for the biosynthesis of XNAs.

When a cell undergoes stress conditions, such as oxidation or aging, an increase in protein instability can occur and prevent proper cell functions. Small Heat Shock Proteins (sHSPs) are molecular chaperones that work to maintain a healthy proteome by associating with misfolded “client” proteins to delay aggregation under such conditions. HSPB5, a human sHSP, is ubiquitously expressed throughout the body. HSPB5’s disease mutant, R120G, is a defective chaperone associated with cataracts and desmin-related myopathy. It is still unknown how this mutation is detrimental despite many years of research. My research aims to understand how this mutation retunes the electrostatic properties of HSPB5, affecting its chaperone activity. Residue R120 is part of an electrostatic network that helps create an important structural feature in the folded region of HSPB5, the alpha-crystallin domain (ACD). In the unmutated (WT) protein, the ACD surface is overall positively charged. Substitution of the positive R120 to glycine alters both ACD’s structure and electrostatics. I generated two mutants, R120K (retaining positive charge) and R120D (switching to negative charge) to investigate how R120 plays a role in ACD’s conformation. Using a negatively-charged molecule, ATP, as an “electrostatic” probe in 2D NMR, I observed differences between its binding affinity to my R120 variants. I found that only R120K ACD behaves similar to WT ACD, suggesting a possible correlation between charge potential and ACD’s interactions with ATP. Currently, I am investigating if charge potential affects chaperone activity through aggregation assays with a client protein, human γD-crystallin, found in the lens and implicated in cataracts. I predict that WT and R120K, with similar electrostatic properties, will have similar chaperone activity. R120G and R120D, prevalently in an “active” state, will have higher chaperone activity. Understanding how such mutations affect HSPB5’s conformations and chaperone activity is a step forward in understanding sHSPs’ chaperone mechanism.

Mind-wandering, characterized by the inward direction of attention towards thoughts, represents a widespread cognitive phenomenon that can disrupt task-related attention. Evidence indicates that the frequency of mind-wandering increases during sustained attention tasks, and previous research has proposed several hypotheses, such as resource-depletion, control-failure, and resource-control hypothesis, to explain the increases as well as the declines in task performance from their perspective. This study first aims to investigate the impact of incorporating a strategy of break on the frequency of mind-wandering during a Sustained Attention to Response Task (SART). It seeks to determine whether a break strategy can mitigate the frequency of mind-wandering and to identify which of the aforementioned hypotheses best fit the experiment outcome. Specifically, it examines whether a rest break or a task-switching intervention can reduce the frequency of mind-wandering, comparing these effects to a no-break condition. Forty students from the University of Washington will participate in a four-part experiment that includes two 480-trial SART tasks, an intervening break condition (rest break, task-switch, or no break), and a concluding questionnaire. Mind-wandering will be measured through thought-probe methodology, and task performance will be assessed using error rates and response times. Additionally, subjective workload and fatigue level will be assessed using NASA Task Load Index (NASA-TLX) questionnaire. Based on the three existing hypotheses and behavioral data, the second aim of the study is to construct three cognitive architecture ACT-R models, and by comparing different models to reflect potential mechanisms of the role of breaks in mind-wandering.

Vestibular disorders are prevalent, particularly in aged people, and can cause significant impairment to quality of life including spatial disorientation. The sensory hair cells (HCs) in vestibular end organs sense head motions. Vestibular HCs degenerate as we age. Interestingly, vestibular end organs generate neural signals that terminate in the hippocampus. These connections contribute to the regulation of spatial memory and learning, although the mechanism is not completely understood. We are exploring whether loss of vestibular inputs to the hippocampus affects neurogenesis of granule cells in the dentate gyrus. A prior study showed a gradual increase in proliferative activity of granule cell progenitors after bilateral labyrinthectomy. We wondered if the same effect would occur when vestibular HCs are destroyed and if regeneration of HCs reverses the effect. We used a mouse that enables near complete killing of vestibular HCs upon injection of diphtheria toxin (DT). We administered the cell division tracer, BrdU, to experimental (HC-depleted) and control mice, all of which were adults, using 1) a pulse-fix paradigm to capture cells in the cell cycle or shortly thereafter and 2) a pulse-chase paradigm to study cells that differentiate into neurons. I am counting BrdU-labeled cells in the hippocampal dentate gyrus at different times after HC damage and in undamaged controls. In my poster, I will be presenting preliminary data that tests the hypothesis that we will see increased neurogenesis once HC inputs are lost. Once the study is completed, we hope to determine whether and how vestibular HC destruction and regeneration impact hippocampal neurogenesis. By exploring the relationship between the vestibular system and the hippocampus, we will build our understanding of how spatial orientation is regulated and whether vestibular regeneration can improve spatial orientation, which may inform on how to treat people with vestibular disorders in the future.

Sporadic inclusion body myositis (sIBM) is an acquired progressive inflammatory muscle disease. It is most commonly seen in individuals over 50 years old and affects more men than women. Symptom onset is generally gradual and characterized by progressive muscle weakness and atrophy. Weakness often starts in the quadriceps and finger flexors but can affect other muscles in the arms and legs as the disease progresses. Difficulty swallowing also can be present. The disease remains challenging to diagnose due to its non-uniform presentation. There is currently no cure or standard treatment for sIBM as it is unresponsive to corticosteroids and immunosuppressive drugs. In this study, we investigated the prevalence of and associations between different features considered in the diagnosis of sIBM. We reviewed the electronic medical records of adult patients diagnosed with sIBM using ICD-10 codes at the University of Washington Medical Center from 2003 to 2023. Data was collected including creatine kinase (CK) levels, presence of the anti-cytosolic 5′-nucleotidase 1A (NT5c1A) antibody, pulmonary function testing, presence of dysphagia, muscle strength testing, muscle biopsy findings, electromyography (EMG)/nerve conduction studies, and magnetic resonance imaging (MRI). Statistical analyses were performed to identify the presence of sIBM phenotypes and correlations between them. This study confirms the heterogenous presentation of sIBM and highlights the associated diagnostic challenges this presents. Understanding both typical and atypical presentations is key to preventing delayed diagnosis and misdiagnosis commonly seen in this patient population. Timely diagnosis allows for more tailored management of disease-related symptoms and can help to eliminate the unnecessary administration of ineffective medication and invasive testing. In addition, further characterization of sIBM phenotypes may lead to improvements in both current diagnostic criteria and considerations for clinical trial outcome measures.

Traumatic spinal cord injury (tSCI) is a devastating condition that causes sensory and motor dysfunction and permanently impairs normal life. Spasticity is one of the most common complications associated with tSCI that limits independent functional abilities. Spasticity is defined as a velocity-dependent increase in muscle tone, in response to passive movement and it is accompanied by pain and stiffness. Unfortunately, current treatments provide only transient and often incomplete relief of spasticity and individuals often experience long-term adverse effects. Through a collaborative project between three labs, we aim to develop a durable non-invasive electrical stimulation treatment to alleviate spasticity. I participated in preparing the model of spasticity by performing spinal surgeries on the cervical spine of rats. To evaluate spasticity, we studied the loss of Rate-Dependent Depression (RDD) of the H-reflex which is considered the electrophysiological hallmark of spasticity. To do so, I fabricated an electrode nerve cuff that was implanted on the median nerve of the rodent’s forearm to study the H-reflex of the affected muscle in the rat’s forelimb. I then recorded and analyzed the temporal development and change of spasticity. H-reflex results validated the spasticity model by showing RDD reduction in injured rats compared to the uninjured rats. The developed treatment shows promising modulation of the H-reflex and recovery of RDD in injured animals. Additionally, to measure velocity-dependent muscle tone, we developed a robotic device that passively moves the rodent’s forearm at different velocities. Employing this robotic behavioral assessment allows me to objectively assess the effect of stimulation on spasticity in the rodent forelimb. Obtained data reveals the muscle resistance to be three times higher in the injured rodent. This novel therapeutic stimulation protocol could potentially be used for clinical use as a non-invasive therapy, to help patients with spasticity in the hand after suffering from cervical tSCI.

Social interactions in humans have shown to improve pain outcomes and diminish the development of mechanical hypersensitivity (allodynia) following injury. This effect is known as social buffering of pain; however, the underlying mechanisms are not well understood. Prior preclinical studies focused on forced social interactions between unfamiliar mice, lacking translational value to patients. To fill this gap, our research explores how volitional social behavior shifts pain sensitivity and affect following a neuropathic injury. Volitional interaction is key to socialization as individuals usually socialize because they want to, not due to force, which makes studying how mice voluntarily interact with each other important. To determine how volitional social interaction impacts both sensory and affective (emotional) components of pain, we use male and female mice who have received a spared nerve injury (SNI). Trained in social self-administration, mice learn to lever-press to engage with a familiar conspecific. Mice are then tested in von Frey where thin plastic filaments of increasing weights are applied to the mouse hind paw before and after SNI. These filaments do not cause pain, rather elicit a pain response of withdrawing the paw. To determine sensory sensitivity, the weight when the animal's paw is withdrawn is recorded as percent change from baseline. To determine changes in affective pain, the amount of time the animals hold their paw up, following withdrawal, is recorded as percent change from baseline. We found that male and female mice show significant attenuation in their mechanical hypersensitivity following volitional social interaction compared to mice deprived of volitional social interaction. Males show even less mechanical sensitivity, indicating that males may be more impacted by social analgesia than females. Understanding the divergent responses between male and female mice and the role of volitional social interaction in pain modulation, offers potential avenues for developing novel therapeutic strategies.

Neuropsychiatric disorders, such as major depressive disorder, pose a difficult challenge for healthcare providers. Treatments for such disorders vary in efficacy and come with detrimental costs. Historically, preclinical animal models have failed to incorporate the nuances of volitional human social behavior. This project used chronic social defeat stress in which mice experienced bouts of antagonistic encounters to induce depression-like behaviors in male and female mice, this was followed by self-administered social interactions within an experimental chamber in which lever presses were reinforced by social contact. The goal is to develop preclinical animal models that can be assessed to identify neural mechanisms responsible for stress-induced social motivation. Male and female mice will train to self-administer social interaction with a sex and age-matched housing partner over the course of ten 12-trial sessions. Next, experimental male and female mice will be subjected to both social and witness defeat (observation of social defeat) sessions followed by social self-administration. Before and after the 10-day social stress sessions, we will test social reward seeking via non-reinforced self-administration of social reward followed by a progressive ratio test. Brain tissue will be collected and prepared for immunohistochemistry and whole-brain clearing. Social defeat decreased social reward seeking behaviors in male mice. Witness defeat did not alter social reward seeking in males but increased seeking behavior in female mice. Social stress can be used to discern differences in social motivation in male and female mice as a result of stress-induced factors. There is potential in using whole-brain activity mapping to identify brain structures activated during social reward following social stress. We hope to build a technical tool for the field that can encompass whole-brain activity responsible for social stress responses by utilizing nuclear localization and retrograde tracing.

Recently there has been interest in two possible sources of mass in the outer solar system. First, observations of recently discovered remote outer solar system objects have suggested the presence of a ninth planet. Different numerical simulations have suggested either a less massive (1.5-3 Earth masses) planet with a semimajor axis of 250-500 AU from the Sun (the Earth orbits at 1 AU), or a more massive (5-15 Earth masses) planet at 400-800 AU. Second, data from the New Horizons spacecraft has suggested that there may be an additional roughly circular belt of objects, similar to the Kuiper Belt, beyond 60 AU. This raises the question of whether this belt would be compatible with some or all of the proposed forms of planet 9. To answer this question, I ran a series of orbital dynamics simulations with randomly generated test particles representing the proposed second Kuiper Belt, and different masses and orbital parameters for planet 9. By looking at how planet 9 changed the orbits of the test particles over the period of the simulation, I concluded that although planet 9 would not significantly affect objects orbiting at 60-100 AU, in the most extreme cases, it would significantly broaden the distribution of orbital inclinations of objects beyond 100 AU. Astronomical deep and wide surveys conducted over the next few years have the potential to detect both planet 9, and objects beyond the Kuiper Belt. If second Kuiper Belt objects are discovered, these objects having a wider-than-expected range or orbital inclinations would point to gravitational disturbances, such as those caused by planet 9. Alternatively, if planet 9 is discovered, these simulations suggest that a second Kuiper Belt would need to be more inclined than has been so far assumed.

The T3 Watershed Experiment Upland Silviculture Study explores innovative approaches to managing forests in the Olympic Experimental State Forest (OESF) managed by Washington state DNR. This model study is an addendum to the T3 study exploring different treatments to enhance ecological heterogeneity through the implementation of variable-density plantings in the context of marigold growth. Variable-density planting increases heterogeneity by adding a variety of clumped areas across a unit which has the potential to enhance biodiversity and habitat, improve ecological resiliency, increase carbon sequestration, and optimize tree growth. We chose marigolds to act as a model specie for conifers due to its short life cycle, ease of use, and ability to growth tall and straight. Our team planted marigolds using three treatment groupings including small clump, large hex clump, and regular spacing (control)— implemented in six boxes within a controlled greenhouse environment. In Autumn 2024, volunteers and I collected comprehensive data on various growth metrics. Later, I measured the biomass of leaves, stems, reproductive shoots, and total biomass to determine biomass variations. I analyzed the effects of treatment on the stem straightness/sway, mortality, biomass of different tissues, and social class proportions. This research contributes to the broader understanding of how variable-density plantings influence vegetation dynamics, providing valuable insights for silviculture practices. The findings aim to inform future land management strategies by providing data that supports the hypothesis that variable density planting may provide numerous benefits without decreasing timber harvests.

Atherosclerosis is characterized by the accumulation of lipids, inflammatory cells, and fibrous tissue in arterial walls, forming plaques. Plaque accumulation can lead to stenosis and potentially severe outcomes such as myocardial infarction or stroke. The gut microbiome, including Collinsella aerofaciens, is believed to play a role in the prevention or development of atherosclerosis. Gut bacteria can directly influence systemic inflammation, a factor correlated with the pathogenesis of atherosclerosis, and produce metabolites that alter the disease course. This study explores the potential link between C. aerofaciens and atherosclerosis by investigating the abundance of C. aerofaciens in the gut microbiome of individuals with and without atherosclerosis. We collected 179 stool samples from participants at the Kisumu District Hospital HIV Clinic in Kenya and conducted a comprehensive analysis of their gut microbiomes. 100 participants had carotid ultrasonography, categorized as showing atherosclerosis with visible plaque or intima medial thickness ≥ 0.7 mm. We employed bacterial 16S ribosomal RNA gene sequencing to characterize the stool microbial composition and noted that the relative abundance of C. aerofaciens was 2.6-fold less in participants with atherosclerosis (p=0.006). To validate these findings, I employed a Quantitative Polymerase Chain Reaction with a cloned plasmid control for targeted quantification of C. aerofaciens. We found 6.9-fold more C. aerofaciens copies per total 16S in Kenyan adults without atherosclerosis versus with (p=0.020). This suggests a potential protective or mitigating role for this bacterium in cardiovascular health. Future work could include assessing changes in C. aerofaciens abundance over time and its association with cardiovascular disease progression. Additionally, in vitro or preclinical studies could reveal the specific mechanisms by which C. aerofaciens influences atherosclerosis development and progression. This research contributes to our understanding of the intricate interplay between the gut microbiome and atherosclerosis, offering insights that may inform future therapeutic strategies and personalized interventions for cardiovascular diseases.

Despite recent advances in monoclonal antibody (mAb) technology and its rapidly growing market share, therapeutic targets for mAbs are currently limited to membrane proteins which consist of up to 30% of total proteins encoded by the human genome. The other 70% of cytosolic protein targets remain inaccessible inside the cell. Thus, research into intracellular protein delivery is critical to unleash the full potential of protein therapeutics. For example, mAbs can target oncogenes, enzymes, and the complex signaling cascades within the cell, unlocking a completely new domain of protein targets. Current methods for intracellular protein delivery involve either low protein throughput with minimal cell damage/cytotoxicity or high throughput approaches that compromise cell viability. The Gao lab recently developed a highly efficient technology that allows small proteins to be directly delivered into the cytoplasm with minimal damage to the cell, by cholesterol tag. To further this research, we developed a new version of the tag via the covalent linkage of Coomassie Blue dye with 2-hexyldecanoic acid, branched alkyl chains. This new tag could deliver mAbs, specifically immunoglobulin G (IgG), labeled with fluorescent dye. Through this project, I (i) carried out organic synthesis of the new tag, (ii) delivered secondary antibody into HeLa cells, (iii) confirmed protein internalization through fluorescent microscopy, and (iv) delivered anti-Vimentin primary antibodies for live cell imaging of intermediate filament. Ultimately these four aims demonstrate successful intracellular mAb delivery while maintaining its native protein structure. This allows us to utilize this technology to deliver protein therapeutics targeting all kinds of cytosolic proteins including oncogenic proteins such as p53, RAS, and MYC.

Mice missing NADH: Ubiquinone Oxidoreductase Fe-S Protein 4 (NDUFS4) are a model of Leigh Syndrome, a mitochondrial disease. NDUFS4 KO mice show reduced lifespan and high levels of acetylation of mitochondrial proteins. The anti-diabetic acarbose increases survival in NDUFS4 knockout mice and reduces mitochondrial protein acetylation, as deduced by reduced acetylation of SOD2 on Lysine 68. SIRT3 is a NAD+/- dependent deacetylase that deacetylates mitochondrial proteins. We sought to determine whether acarbose reduces acetylation in NDUFS4 mice via SIRT3. NDUFS4 and SIRT3 double KO mice were fed acarbose and dissected at 35 days of age. Brain samples were collected and analyzed via western blot. We determined the levels of acetyl K68 SOD2, total SOD2, and actin for each sample. Our results show that acarbose reduces acetylation in knockout NDUFS4 regardless of the presence of SIRT3. Acarbose reshapes the intestinal microbiome and the production of short-chain fatty acids in NDUFS4 KO mice. We are currently devising in vitro experiments to determine whether short-chain fatty acids can reduce mitochondrial protein acetylation in NDUFS4 knockout cells. This research investigates if short-chain fatty acids are responsible for acetylation of mitochondrial proteins. The results can be significant because the acetylation of mitochondrial proteins can prevent diseases from being as deadly by extending lifespan. The work completed during this research is hopeful to be applied to a human model, in which this model can be used to treat mitochondrial diseases.

This project evaluates the flight mechanics of a class of Autonomous Underwater Vehicles (AUVs) known as gliders using digital simulation via Python code. When used in the real world, these gliders perform vertical profiling of important marine quantities like temperature and salinity. These are then used by oceanographers and others to help them gain a deeper understanding of the ocean environment. The overall goal of the project is to optimize the trajectories of a fleet of vehicles to minimize energy consumption while maximizing uniformity of ocean coverage. Using specific engineering data on real world glider flight as well as public domain ocean environmental models, I have coded a custom Python application with guidance from my mentor at the Applied Physics Lab. We chose a computer simulation of glider flight so that multiple variables could be easily manipulated without the risk of losing a valuable glider if certain parameters are not favorable. This simulation produces data that describes the vehicles’ locations and energy states over time. The software is structured such that important parameters are specified in an easily-modified configuration file. The parameters I alter include geographic area, the number of gliders, the maximum flight depth, the vehicle’s available buoyancy range, and the glide angle. Then, using the data that the simulation produces, I analyze variations in energy consumption, uniformity of coverage, and the time required for each glider to reach their destination. The oceans, which cover about 70% of the planet’s surface, have a huge impact on the climate and health of the Earth as a whole. The result of this analysis is useful to real-world AUV operations by helping determine how to program them to fly more efficiently and maximize their utility as scientific instruments.

Autism spectrum disorder (ASD) is defined as a complex developmental condition involving persistent challenges with social communication, restricted interests, and repetitive behavior. The development of autism spectrum disorder (ASD) has been associated with altered brain development in infants with high familial likelihood for developing the disorder. Some of the same subcortical regions associated with altered brain development in ASD are also associated with sleep problems, including the hippocampus. Healthy sleep is an integral contributor to brain development during childhood and there is increasing evidence that chronic sleep loss can lead to neuronal loss and impaired functioning. Additionally, the multi-site, NIH-funded Infant Brain Imaging Study (IBIS) has previously reported sleep problems are associated with hippocampal alterations in infants who developed ASD. However, the relationship between sleep problems and altered brain development in autistic school-age children is not well understood, even though clinically significant sleep problems affect 75-80% of this population. Based on prior findings from the IBIS network, this project will examine the relationship between hippocampal volume and sleep problems in 137 school-age children with high familial likelihood of ASD (HL-ASD), no diagnosis of ASD (HL- noASD) and low familial likelihood of developing ASD (LL). Our prior findings suggest there will be differences across the three school aged groups in hippocampal volume, sleep duration, and sleep quality. We also expect that hippocampal volume in the HL-ASD children is differentially affected by sleep quality and sleep duration compared to the HL-noASD and LL children. Understanding the connections between sleep patterns and autism will help steer future research endeavors examining a largely understudied but significant issue. Additionally, this project will provide new insights into the negative consequences associated with chronic sleep loss in autistic children, affecting both their daily functioning and their quality of life.

Small heat shock proteins (sHSP) are a family of molecular chaperones whose function is to delay the harmful aggregation of other proteins. Protein aggregation is associated with neurological disorders such as Alzheimer's disease and Parkinson's disease. In many tissues, multiple sHSPs are coexpressed and tend to assemble into hetero-oligomers. Hetero-oligomers are complexes of two or more different protein species. The extent and mechanism by which these hetero-oligomeric complexes form is yet to be fully understood. The goal of my discovery-driven research is to assess how the properties of sHSP hetero-oligomers differ from the properties of homo-oligomers. In my project, I focus on three sHSPs that are highly expressed in muscle: HSPB1, HSPB5, and HSPB6. Each of these proteins exhibit different behavior when on their own. HSPB1 and HSPB5 form a distribution of large homo-oligomers, whereas HSPB6 forms a small homo-dimer. One of the most characteristic properties of the small heat shock proteins is formation of oligomers that span different sizes. Thus I am primarily determining the sizes and composition of the sHSP hetero-oligomers. I performed a comprehensive study to characterize the sizes of the hetero-oligomers using three complementary methods: analytical size exclusion chromatography, mass photometry, and native gel electrophoresis. I have found that HSPB6 is able to readily incorporate into hetero-oligomers as the concentration of the other sHSP is increased, and that the complexes are formed in a distribution of intermediate sizes. I am currently working on assessing the ability of the hetero-oligomers to act as molecular chaperones by aggregation assays. I predict the hetero-oligomers will delay protein aggregation more efficiently than HSPB6 on its own. The findings of my project give insight into why sHSPs are coexpressed and form hetero-oligomers in cells. Understanding these hetero-oligomers sheds light into the complex pathways of sHSP function. 

General anesthesia (GA) is administered as a sedative in nearly 60,000 surgeries daily in the United States. Yet, there is a very limited understanding about how GA impacts brain activity, leading to induced loss of consciousness and pain sensation. Preliminary work in the Heshmati lab has highlighted key subcortical structures that are engaged during anesthesia, but it remains unclear how activity in these regions and across the brain regulates awareness or pain sensation as anesthesia is induced (“induction”), maintained at a steady state (“maintenance”) and removed (“emergence”), as is done during surgeries. My work aims to identify the neural circuits that regulate the loss of consciousness and pain sensation during GA by recording local field potentials (LFP) from mice as they undergo volatile anesthetic isoflurane (ISO). During LFP recordings, I will insert small electrodes into highlighted regions of interest, to capture low-frequency extracellular voltage signals generated by the synchronized activity of nearby neural populations during the three periods of interest: induction, maintenance, and emergence from isoflurane GA. I will analyze the amplitude fluctuations and frequency patterns to identify synchronized oscillations within subregions and assess the level of synchrony, or coherence, across different regions. Given previous findings on the shared and opposed involvement of subcortical regions in pain and anesthesia, I expect to observe coherence among some of the regions, such as the amygdala and hypothalamus, but potentially anti-correlation within specific subsections, such as central vs. basolateral amygdala. Through these experiments, I will be able to monitor the effects of isoflurane anesthesia through a temporally-defined electrophysiological lens, capturing real-time activation dynamics of large neural populations across induction and recovery from anesthesia. Thus, my research aims to further develop our understanding of the brain under GA, by providing novel insight into the neural circuits regulating wakefulness and pain during surgical procedures.

Lipotoxicity in cells occurs when lipids in biological tissue accrete to a toxic level. This toxic buildup is associated with obesity and type 2 diabetes, two of the leading causes of death around the world. Various studies have induced obesity in mice through a diet consisting of high levels of saturated fats. Some of these studies also investigated the effects Adefovir Dipivoxil, an antiviral and inhibitor of mitochondrial DNA replication, had on these obese mice. My research investigates fibroblasts that have been grown in a high-lipid environment and how Adefovir Dipivoxil affects these cells. We hypothesized that administering Adefovir to these cells would halt apoptosis and prevent further progression of lipotoxicity by stabilizing levels of triacylglycerol synthesis. To test this, I induced lipotoxicity in the cells using palmitic acid, a saturated fatty acid. Next, I treated the cells with Adefovir Dipivoxil. To measure the efficacy of the drug, I used a staining kit to measure the ratio of live to dead cells before and after administering the drug. Furthermore, I used a dye-based assay to measure the intracellular triglyceride levels before and after treatment. In addition to treating fibroblasts with palmitic acid, I treated a new set of fibroblasts with oleic acid, an unsaturated fatty acid, to determine how Adefovir acts on these cells. Data from this research will contribute to further understanding the mechanism of lipotoxicity on various cells, as well as the role that mediators of mitochondrial function like Adefovir Dipivoxil could play in treating lipotoxicity. On a broader scale, we hope that this research will provide insight into future treatments for obesity and type 2 diabetes.

The Poolos Lab has made significant progress in elucidating the regulation of tau phosphorylation in the brain and its relationship to both Alzheimer’s disease (AD) and temporal lobe epilepsy (TLE). However, conflicting data exists in the field regarding whether patients with epilepsy exhibit increased or decreased tau phosphorylation and expression compared to health controls. From our preliminary findings using mass spectrometry, we hypothesize that tau undergoes dephosphorylation at several amino acid sites in TLE, as opposed to the hyperphosphorylation observed in AD. To validate this hypothesis, I conducted western blots to separate sample proteins based on their molecular weight via gel electrophoresis. Western blotting has increased sensitivity compared to mass spectrometry in measuring protein phosphorylation levels. I assessed changes in tau expression and phosphorylation using phospho specific antibodies that quantify site specific tau phosphorylation levels. These samples are derived from hippocampal tissues obtained from a chemo-convulsant rat model of TLE, which mimics the chronic seizures experienced by human patients, and compared to age-matched naive controls. Densitometry is employed to quantify the relative amount of phosphorylated tau, and a two-tailed t-test statistical analysis confirms significant changes in tau phosphorylation and expression between tissues from chronically epileptic animals and control subjects. Additionally, I plan to conduct western blots on human tissue from TLE patients to generalize our findings from animal models, deepening our understanding of tau dysregulation in epilepsy. Given the increased risk of premature death and adverse effects on physical and mental health experienced by epilepsy patients, our research holds significant implications for the well-being of epileptic patients and their loved ones. By identifying alterations in tau phosphorylation, we aim to develop a biomarker of epilepsy in cerebral spinal fluid and the blood, thereby advancing diagnostic tests and potential treatments for epilepsy.

Data visualizations are critical to understanding large, complex datasets. For example, visualizations help us detect missing and erroneous data values, identify potential relationships between data variables, and review the output of machine learning models. That being said, customized visualizations can be difficult to create, because they require the use of specialized toolkits such as ggplot2, Vega-Lite, or D3. In this research, we study how people use a browser-based toolkit called D3 to program custom visualizations, with the long-term goal of creating AI-assistants to help people code in D3. However, to train rigorous AI models, we need a large input corpus of D3 examples that is accurate and reliable. In this presentation, we share our progress towards building this training corpus. First, we mined hundreds of real-world examples from the web. Then, we analyzed these examples to understand how visualization users take complex D3 programs and break them down into easily understandable parts, which we call components. Currently, we are investigating how these different components can be remixed and reused to create D3 visualizations for datasets that a model may not have encountered before. Future research will involve collecting more examples to grow our corpus, and training AI to use the corpus to generate documentation and relevant examples to help new visualization users better understand D3.

In response to acute genotoxic stress, such as chemoradiation therapy, stem cells undergo temporary cell cycle arrest at the G1/S phase transition. This state, called quiescence, is reversible once stress-free conditions allow reentry into the cell cycle. We have previously identified the underlying mechanism behind quiescence in Drosophila Germline Stem Cells (GSCs) and human-induced pluripotent stem cells (hiPSCs). Mitophagy, or autophagy of the mitochondria, is required to enter quiescence. Surprisingly, we have observed a reserve of cyclin E (CycE) associated with the outer mitochondrial membrane that’s present in normal GSCs and hiPSCs but is reduced in quiescent stem cells. The role of CycE in quiescence remains unclear. Previously we have shown that reduced levels of CycE via inhibition of mTOR have driven cells toward mitophagy-dependent quiescence. This reveals that mitophagy serves as an alternative mechanism of CycE inhibition in contrast to the typical p21-mediated inhibition. Additionally, Parkin, a ubiquitin ligase activated by a serine/threonine kinase PINK1, is a key protein involved in mitophagy required for quiescence, and it has been found that CycE is a degradation target of this protein complex. Our hypothesis is that CycE degradation is necessary for entry into quiescence. To test this we upregulated CycE with a deleted portion of its PEST domain, which is a target for ubiquitination, under UAS-GAL4 control and used the GSC spectrosome morphology to observe quiescence. We observed a six-fold reduction of quiescent GSCs with overexpressed CycE, and hence concluded that CycE degradation is necessary for entry into quiescence. Determining the mechanism of CycE in stem cell quiescence is critical to understanding how cancer stem cells can avoid chemoradiation therapy. This project allows us to characterize the role of CycE within mitophagy and strengthen our understanding of the mechanisms that govern the cell cycle and quiescence.

Prior research has shown that parent spatial language use predicts child spatial language use, and as a result, a child’s spatial ability. In our current study, we seek to identify factors that influence differences in both parent and child spatial language use. Using a picture book called “Flashlight”, which contains no words, parents were instructed to read aloud to their children (N=75 dyads, range: 2-4 years). Parents created their own story based on the pictures. After the storybook task, the parent and child were given blocks to play with for 5 minutes. Both these tasks seek to examine what types of language are naturally produced between parents and children, such as spatial words, questions, and number words (e.g., “at”, “What animal is that?”, and “one”). The videos of these sessions were manually transcribed. Parents also completed a series of questionnaires on their beliefs about the utility of play and their child’s language, motor, and communication skills. We hypothesize that the more questions a parent poses, the more spatial language a child will produce. This study is multifaceted in that it examines total language used overall (tokens), different types of language, free play, and spatial abilities. Studying these aspects of communication and underlying factors that impact the type of language parents use can lead to a better understanding of children’s spatial development and the factors influencing it. For example, parents who believe that play offers children unique opportunities to learn spatial concepts might use more spatial language with their children during play, which could scaffold their child’s spatial development. By identifying these factors, we can develop ways to increase spatial language use between parents and children, thus facilitating spatial development.

Autism Spectrum Disorder (ASD) is a prevalent neurodevelopmental condition affecting approximately 1% of the world population. Characterized by impaired social interactions, the precise etiology of ASD remains elusive, but emerging research suggests deficits in the mesostriatal pathway may contribute to deficits in social reward processing. In order to better understand the role of the mesostriatal pathway in social reward processing, I performed in vivo microscopy coupled with viral delivery of genetically encoded fluorescent sensors to record nucleus accumbens (NAc) neuronal ensemble activity during an operant task in which mice were trained to press a lever in order to gain access to a social partner mouse. I found distinct populations of neurons that were more active or less active during the social reward task at discrete time points. Understanding the neurobiological mechanisms involved in social reward may pave the way for novel medications and treatments for ASD.

 The Amazon rainforest is one of the most biodiverse regions on this planet and home to thousands of species of butterflies. Our pilot study aimed to investigate correlations between vegetation diversity and temperature and butterfly species richness in the Madre de Dios region of southeastern Peru. This study was conducted across three sites of differing plant diversity, including a monoculture orchard, a mixed orchard, and a rainforest. We hypothesized that there would be a strong positive correlation between species richness and vegetation diversity, resulting in high species richness in the rainforest. We also predicted that each species would only be found within one site, as most butterflies rely on specific plant species for reproductive purposes. Finally, we hypothesized that the hottest times of day would have the least amount of butterfly activity. By attracting butterflies with baited banana leaves, we were able to record an array of species during multiple, daily 45 minute observational sessions. After classifying photographs of butterflies during our sessions to morphospecies and averaging species richness, we found that the sites with higher vegetation diversity had a wider range of species. Most species demonstrated specialist behavior, found only in one site. Out of 26 morphological species, only three were observed at more than one site. Limitations in our sample size made any data surrounding behavior across a temperature gradient inconclusive. By critiquing this pilot study and analyzing its small set of data, we suggest protocols for future research on butterfly species richness and activity.

Mentoring is an effective way to improve diversity and retention in STEM fields. The UW Psychology Undergraduate Mentoring Program (PUMP) matches psychology students from underrepresented groups with mentors, including undergraduates, graduate students, faculty, and alumni. Matches are made based on a combination of career interests and personal identities. In this study, we aim to understand predictors of mentees’ success in the program, defined by feelings of belonging, academic preparedness, and satisfaction with the mentoring relationship. These predictors include meeting characteristics and match characteristics. We hypothesized that in-person meetings, more frequent meetings, and greater similarities between mentors and mentees would be linked with greater success. 32 out of 168 mentees completed our survey on Qualtrics in Spring 2023. We measured meeting frequency (“How often did you meet with your mentor during [quarter]?”), format (“In what modality did you meet with your mentor? In-person, video/phone calls, texting, email”), match characteristics (e.g., whether the mentor and mentee shared similar demographics such as BIPOC, first-generation, or gender; how far apart they were in their class levels), belonging (e.g., “I know other people in the psychology major”), preparedness (e.g., “I feel prepared to pursue the psychology major at UW”), and satisfaction (e.g., “My mentor and I have had a successful mentoring relationship”). We will conduct correlations and multiple regression analyses to test the prediction that in-person meetings, more frequent meetings, and greater similarity between mentors and mentees will be linked with higher feelings of belonging, preparedness for the major, and satisfaction with the mentoring relationship. We hope to demonstrate that controllable variables such as these can improve program outcomes. Identifying the most effective program strategies, like in-person meetings or demographics-based matching, can aid mentees in our program and may also guide the development of new mentoring programs in other departments.

Repetitive transcranial magnetic stimulation (rTMS) is a psychiatric treatment which has shown promise for experimental treatment of memory loss in Alzheimer’s Disease. rTMS uses a coil and electric current which is able to create a magnetic field that can depolarize neurons noninvasively and induce synchronized activity of large populations of neurons, ultimately inducing, lasting changes through synaptic plasticity. Alzheimer’s disease patients show disruptions in the Default Mode Network (DMN), a network of brain regions which is typically active at rest. The DMN has an important role in memory consolidation and is disrupted in Alzheimer's Disease. We hypothesize that strengthening the default mode network through rTMS applied to area left 8AV of the frontal cortex will create improvements in patient memory. To answer this question, we are performing a single-blind, single-arm, randomized cross-over trial of rTMS on early-stage Alzheimer's disease patients. Region 8AV is located by using MRI scans obtained before patients receive either the sham or experimental procedure. This region was chosen due to its connection to the default mode network and previous promising TMS research. Our primary outcome measure is the speed of forgetting, a new, reliable index of memory function obtained by fitting a computational model of episodic memory to behavioral data from an adaptive memory test. Due to the frequent use of rTMS in mood disorder treatment, we are using depression and anxiety scales to track possible mood improvements as a secondary outcome measure. MRI scans will also be analyzed to see if the experimental treatment caused any structural differences in patient brains. Should our hypothesis be correct, we expect to see improvements in memory or cessation of memory decline in patients. Successful treatment would provide a novel target for Alzheimer’s Disease treatment using rTMS, and additional evidence for the continued investigation of rTMS for Alzheimer’s Disease.

With this project, researchers for the Harry Bridges Center for Labor Studies from Seattle, Tacoma, and Bothell campuses seek to gain a better understanding of the intricate relationship that exists between the UW undergraduate experience and employment, as well as inform students on existing resources and support services both on and off campus. To sufficiently measure unique student experiences, we have sought survey responses through canvassing, contacting departmental and Registered Student Organization (RSO) listervs, and visiting in-person classes. Over the course of the past 6 weeks, we have made 73 points of outreach at the Seattle campus, 62 at Bothell, and 44 at Tacoma, resulting in 430 survey responses as of February 7th, 2024. Our Qualtrics survey will run through the end of winter quarter. We will then also offer paid interviews for 15-20 students to supplement survey data through further examination of survey themes and trends. Modeling UCLA Labor Center’s Unseen Costs: The Experiences of Workers and Learners in Los Angeles County, we will then compile our survey results and interview stories into a cumulative research report about why UW students work while pursuing their undergraduate degrees, what fields they have worked in, and any associated workers’ rights violations they may have faced while in these positions. With this research, we aim to create a more supportive environment for our student workers, and to help educate our respective campuses to meet their student body needs.

In the rapidly evolving landscape of remote work, the challenges associated with recalling important information from meetings and missing meetings have increased. One potential solution is to use large language models (LLMs) to summarize meetings to help participants catch up after meetings are over. To have a better understanding of this topic, we systematically reviewed 17 existing commercial tools and research prototypes for LLM-generated meeting summaries. The results show that existing solutions fell short of supporting users to verify and validate the comprehensiveness and accuracy of the generated summary, hindering users from trusting the summary. To address this, the project aims to design and build a more trustworthy LLM-generated meeting summary tool. Specifically, we propose that LLM-generated summary should progressively display relevant meeting information based on the importance of the information and the user’s goals, and include trustworthiness cues to aid users in making accurate trust judgments of the summary. Our preliminary interviews and a literature review showed that users are more hesitant to trust the AI summary when the information is consequential, such as when they missed the meeting or specific action items. While trustworthiness cues such as quotes or links to raw transcripts could increase users’ trust, irrelevant and redundant information erodes people’s trust. To further validate these observations, we will conduct a formative interview study. We will show participants mid-fidelity prototypes exemplifying the key design decisions and elicit their feedback on appropriate trustworthiness cues, desired ways to indicate their goals and intentions, and expectations on the importance of different portions of a summary. These empirically supported insights will inform the final design of a trustworthy LLM-generated meeting summary tool, which we plan to implement and evaluate in the next step.

In the pursuit of higher density integrated circuits and the increased use of stacked die chips, the importance of wafer die preparation plays a crucial role in the semiconductor manufacturing process, turning silicon wafers into individual dies. An important step of die preparation is wafer backgrinding, which enables wafers to be thinned significantly, thus allowing for higher density packaging of chips. Backgrinding occurs near the end of a chip’s manufacturing process, thus it is important to quantify the surface quality of the wafers after the grinding process to avoid potential damage to the finished product. The most relevant process parameters include chuck speed, wheel speed and vertical feed rate. By systematically varying the process parameters and analyzing their impact on key output metrics including surface roughness, thickness variation and surface damage allows us to study each parameter in greater detail. We expect the tool to preform best when following the default given recipes supplied by the tool manufacturer, however to better understand the affect of each parameter we must vary each variable in a controlled manner. By performing a parameter-based design of experiment (DOE) we can study how each parameter affects our key metrics. At the Washington Nanofabrication Facility, where this project will take place, there are a variety of different processes and products all with different requirements. Understanding the relationship that each parameter of grinding has on the surface of the wafer allows us to develop different recipes for specific use cases depending on the requirements of each process.

Dopamine (DA) producing neurons of the ventral tegmental area (VTA) in the midbrain regulate reward association learning and motivation. These DA neurons are modulated by neuropeptides and can be separated into distinct subpopulations based on differential gene expression, regulation of activity, and projection patterns. But how these different patterns are established and contribute to distinct functions of DA subpopulations remain poorly understood. One potential key component for these neuropeptides is the transient receptor potential canonical (TRPC) channels. Specifically, we identified the gene encoding TRPC type 6 channel (Trpc6) as having enriched expression in the VTA DA neurons. To determine whether Trpc6 is differentially expressed in VTA DA subpopulations, I utilized the quantitative, multiplexed in situ hybridization methods. Using wild-type mice, I probed for the expression of tyrosine hydroxylase (Th), a marker of all DA neurons, and Trpc6 as well as markers of two subpopulations, corticotropin releasing hormone receptor 1 (Crhr1) and cholecystokinin (Cck). The analysis showed that Trpc6 expression is significantly higher in the Crhr1 subpopulation, of 81%, than in the Cck subpopulation, of 66%. Because neuropeptides like neurotensin increase calcium concentration in DA neurons, we hypothesized that TRPC6 contributes to these neuropeptide-evoked calcium signals. To investigate the role of TRPC6 in DA signaling, I used a viral-based CRISPR/Cas9 approach to induce selective mutagenesis of TRPC6 in specific DA subpopulations. Then, I assessed the calcium responses of subpopulations to neurotensin by measuring the amplitude and neurotensin-evoked oscillations using acute brain slices. We expect the calcium responses to decrease more in the Crhr1 subpopulation than in the Cck subpopulation compared to the control as the Crhr1 population has higher Trpc6 expression. By elucidating the role of TRPC6, we hope to contribute to discovering pharmacological interventions for diseases caused by dopaminergic system dysfunctions such as Parkinson’s disease and substance use disorders.

The drug resistance in tuberculosis (TB) is a rising concern for the diagnosis and treatment of the disease. Being able to detect the presence of drug resistance accurately and rapidly in the patient strain is essential for improving individual treatment outcomes and reducing further transmission of resistant strains, which are more costly and difficult to treat than drug-susceptible strains. However, the current methods come in short in point-of-care (POC) settings, due to problems such as long processing time, high complexity, and necessity for specialized personnel/equipment. Oligonucleotide ligation assay (OLA) provides a high sensitivity and specificity against TB drug resistance, and here, I have developed a novel lateral flow test (LFT) device that incorporates OLA into it, which have shown comparable specificity and sensitivity against traditional protocol of OLA in lab setting followed by LFT. Moreover, the simplicity of the design enables further incorporation of other techniques such as isothermal DNA amplification, for a compact, one-step TB drug resistance diagnostic device for low-resource environment. 

PARP inhibitors are a revolutionary precision cancer therapy that inhibits PARP function and causes synthetic lethality in cells with homologous recombination deficiency (HRD) such as cells with BRCA1/2 loss. As such, BRCA1 presence plays a key role in PARP inhibitor sensitivity, providing a basis to predict treatment response based on BRCA1 expression in patient tumors. In addition to protein loss mutations, hypermethylation of BRCA1 gene may also result in the loss of BRCA1 expression, and subsequent HRD and potential PARP inhibitor sensitivity. The NRG-GY005 clinical trial focuses on the development of a clinically useful predictor of PARP inhibitor sensitivity/resistance to spare toxicities for patients unlikely to derive benefit. I will first characterize BRCA1 expression in randomized and blinded tumor samples as a biomarker for response to PARP inhibitors in patients. I will then relate BRCA1 protein expression to methylation status of BRCA1. Combining these two aims will describe BRCA1 function/presence in tumors, and better define overall homologous recombination deficiency to optimize patient-specific treatment between PARP inhibitors or other precision therapies. I conducted immunohistochemistry (IHC), a targeted staining with antibody MS110, towards BRCA1 to identify protein presence in tumor tissue and have compiled and analyzed droplet digital PCR (ddPCR), IHC, and clinical treatment reports. I am currently working through Aim 1 by performing IHC staining on tissues from the first phase of the NRG-GY005 clinical trial and will continue investigating whether a lack of BRCA1 expression is associated with cancer cells that are responsive to therapies. In combining IHC and ddPCR assays, we can compare BRCA1 presence with methylation to analyze tumor cases without BRCA1 expression and contribute toward identifying biomarkers to inform patient-specific treatment for individuals with recurrent ovarian cancer. I anticipate that cases lacking BRCA1 expression have an increased likelihood of hypermethylation in the tumor, causing loss of BRCA1.

The effective treatment of individuals with HIV relies on maintaining therapeutic drug concentrations, necessitating accurate measurement of antiretroviral (ARV) drug levels. Current methods, such as liquid chromatography tandem mass spectrometry (LC-MS/MS), are limited by cost and accessibility. Our research addresses this gap by developing the INTEGRase activITY (INTEGRITY) assay for measuring integrase strand transfer inhibitors (INSTIs), a leading class of ARV drugs. This 2-step assay quantifies INSTIs using a DNA strand transfer reaction and quantitative polymerase chain reaction (qPCR). The presence of INSTI drugs disrupts the strand transfer reaction, inhibiting full-length target DNA formation, which is then measured through real-time qPCR. My work focused on optimizing the limit of detection of INTEGRITY by altering the strand transfer reaction conditions and protocol. Specifically, I conducted experiments altering INSTI drug concentrations and optimizing pre-incubation times of integrase with the drug to enhance the LOD. I observed that preliminary incubation of integrase and INSTI drugs for 5 minutes at 37 degrees Celsius improved the LOD of INTEGRITY by an order of magnitude. The simplicity of the INTEGRITY assay, utilizing standard laboratory equipment, holds immense promise for broadening access to routine clinic-based ARV drug level monitoring. This advancement has the potential to significantly enhance HIV care on a global scale by offering a cost-effective and accessible solution for monitoring therapeutic drug concentrations.

Angiogenesis, or the formation of new blood vessels, is crucial for normal bodily function but is especially important in diseases that cause blood vessel breakdown such as diabetic vasculopathy. Angiogenesis is regulated by activation of the Tie2 receptors in endothelial cells, which have two main ligands: angiopoietin-1 (Ang1) and angiopoietin-2 (Ang2). Ang1 binding has been shown to stabilize blood vessels and inhibit vascular leakage, while Ang2 antagonizes these effects. We have previously shown that a computationally designed Tie2 super-agonist which presents eight copies of the Ang1 F-domain strongly activates Ang1-like signaling in human umbilical vascular endothelial cells (HUVECs). In this project, we hope to assess the Tie2 super-agonist’s ability to rescue diabetes induced blood vessel defects in a diabetic blood vessel organoid (BVO) model. To model diabetic conditions, a three-dimensional blood vessel organoid model has been cultured in a high glucose media along with inflammatory cytokines associated with the diabetic phenotype. Western blotting and immunofluorescence staining will be used to assess the relative quantities and localization of proteins involved in vascular stability and inflammations upon treatment with the Tie2 super-agonist. Vascular degeneration is a very harmful condition associated with many prevalent diseases including diabetes, so the Tie2 super-agonist could potentially be a new therapeutic drug candidate for treating blood vessel dysfunction in patients with these conditions in the future.

Glutamine synthetase (GS) is a highly regulated enzyme critical for converting glutamate to glutamine and associated with ammonia assimilation. Dysregulation in the GS interconversion process can lead to hyperammonemia, potentially resulting in death or brain damage. GS is conserved across prokaryotes and eukaryotes. Among enzymes, glutamine synthetase has the ability to polymerize but the functional characteristics of its self-assembling filaments remain unknown. This study aims to elucidate the occurrence of filament formation in GS and its effects on enzyme activity. We hypothesized that filaments might influence the association of GS substrates or allosterically regulate the enzyme. I purified GS from Pseudomonas aeruginosa, Mycobacterium tuberculosis, and Helicobacter pylori using Ni-column and size exclusion chromatography (SEC). The focus was primarily on Pseudomonas GS, examining it under various buffer conditions (Mg²⁺, Co²⁺) through negative staining. Under magnesium conditions (10 mM), dodecamer strcture of GS was observed and filaments was induced under cobalt conditions (10 mM). To investigate the structural mechanism of filament formation further, we utilized cryogenic electron microscopy (Cryo-EM) to create a model of the GS filament interface and identifying involved residues. Additionally, I am conducting mutagenesis on key residues of Pseudomonas GS to disrupt filament formation. This research holds significant implications for metabolic engineering, as understanding the structure and role of filament formation in GS could lead to new therapeutic targets in metabolism.

Continuous gravitational waves (CW) from sources such as a non-axisymmetric spinning neutron star have not yet been detected. If CW from neutron stars exist, the weak signals could be hidden within noise. The search for CW signals is impeded by the presence of narrow spectral artifacts (lines) caused by instrumentation or the environment at the Laser Interferometer Gravitational Wave Observatory (LIGO). Better identification of line noise would make a detection more likely, and a detection has the potential to expand our current knowledge of neutron stars. A non-machine learning (non-ML) line finding algorithm is currently used on a daily basis at the LIGO Hanford and Livingston Observatories. A different approach to line finding utilizes a machine learning (ML) algorithm. My research uses both the ML and non-ML line finding methods, comparing the accuracy and efficiency of these two methods applied to various data sets. Expected results are that the non-ML method is currently more accurate and efficient from a computing resources perspective, but that the ML approach has the potential for high accuracy and adaptability, and will eventually be more efficient in human hours. The impact of my research is to implement more accurate and efficient line finding algorithms. This work is important because automated line finders at LIGO Hanford and LIGO Livingston save researchers hundreds of hours of work and could be set up to alert researchers on changes in noise behaviors.

Meningiomas, the most common type of primary human brain tumor, arise from the thin fibrous membrane that covers the brain and spinal cord. Most grow slowly and are diagnosed when they disrupt brain function or lead to persistent headaches. While many meningiomas can be cured by surgery, ~20% of them cannot be fully resected or display increased growth, invasion and destruction of adjacent brain and skull. Effective control or eradication of these ‘High Grade II/III’ meningiomas is clinically challenging. To identify new agents and treatment measures, our project uses both computational and experimental approaches in concert to identify new and potentially better therapies. As part of this effort, we are using PISCES, a machine learning model, together with augmented drug and radiation combination datasets to predict potential new therapy synergies. The best predictions from PISCES will then be tested experimentally in our cell line model versus standard-of-care treatments.  My presentation summarizes work to characterize genomic, drug and ionizing radiation sensitivity data on IOMM-Lee, a Grade III human meningioma cell line disease model. We detail how A.I.-driven analyses of IOMM-Lee and related meningioma datasets led us to test new drug pairs and drug-radiation combinations predicted by PISCES to be more effective in killing IOMM-Lee tumor cells. This translational cellular disease model and project are part of a long-term effort to develop better ways to rapidly and efficiently identify and validate new treatment options for brain tumors and other human cancers that can be taken directly to clinical trial.

Lithium-ion batteries (LIBs) are vital energy storage devices for electric vehicles (EVs). Conventionally, LIBs have planar electrodes that present trade-offs between energy and power (charge/discharge speed) due to ion diffusion limitations. EVs require a high energy battery to enable long mileage ranges while also being able to charge quickly (< 15 minutes). 3D battery electrodes can potentially overcome this trade-off, achieving both high energy and power by leveraging 3D structures that create fast ion transport pathways. However, a scalable manufacturing process for 3D electrodes is needed. We are investigating processes for this, and we need a method to characterize our 3D electrodes. There is no method to automatically quantify the features within these 3D structures, which is required for rapid, high quality analysis. By accurately measuring 3D electrode feature sizes, correlations between features and optimal battery performance can be determined. We hypothesize that fabricating fine 3D features (order of 10s of microns) will improve battery performance. To address this need, I have developed an image processing script that characterizes 3D electrode samples. I investigate how threshold values improve accuracy in comparison to manual measurements and am able to achieve < 10% error. I also connect the code’s feature size measurements to our manufacturing process operating conditions to inform how manufacturing conditions can be altered to precisely control feature sizes, which impact battery performance. We expect that higher operating frequencies for our manufacturing process will result in our target fine feature 3D electrodes, achieving high-performance Lithium-ion batteries. This material is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under the Advanced Manufacturing Office (AMO) Award Number DE-EE0010226. The views expressed herein do not necessarily represent the views of the U.S. Department of Energy or the United States Government.
 

Maladaptive aggression characterizes - or is comorbid with - many neuropsychiatric illnesses, and can have devastating effects on individuals, their caretakers, and healthcare professionals. Human aggression is typically demarcated as exhibiting either reactive (defensive) or appetitive (rewarding) components. Despite a significant clinical awareness of the differences between these aggression presentations, preclinical characterization of their relative circuitry and associated neuronal mechanisms are absent. Using recently established protocols within our lab, we are able to study and compare these aggression phenotypes in outbred male mice in a high throughput manner. Briefly, for appetitive aggression, we train mice to self-administer a novel subordinate intruder over 7 days using a trial design. In the reactive condition, we non-contingently administered intruders with the same frequency distribution as the appetitive mice. In the current experiment, we used CD1xVgat-Cre mice injected with pGP-AAV-syn-FLEX-jGCaMP7s in the rostral lateral septum (LSr) to examine cell-type specific activity via fiber photometry. GABAergic activity in the lateral septum has historically been implicated in the control of reactive aggression, but its role in appetitive aggression is unknown. My roles in this project include behavioral testing and filming of the mice, as well as scoring these videos for first attacks following intruder presentation. Using these timestamps, I will next analyze the changes in population level dynamics across different time points of aggression motivation, seeking, and consumption using the open source photometry analysis program GuPPy. We expect that the photometry results for mice in reactive and appetitive environments will show different patterns of activity, with more GABAergic activity during the consumption of reactive aggression. Interestingly, our preliminary results also show an increase in GABAergic activity when mice press the lever for a trial on which they subsequently attack, indicating that GABAergic activity may drive appetitive aggression seeking.

Fifth Harmony’s BOSS music video, which showcases female empowering choreography, has been viewed 267 million times. The choreographer behind it, Sean Bankhead, said in an interview the higher you go the bigger the budget and the bigger the ego of the artist that you are working with. He went on to say about how when he was working with Missy Elliot, she would challenge him to pull things out of him that he didn’t know he had and he was told "start fresh tomorrow you can do better.” As hard as it is to break into this industry, choreographers continuously mention being extremely proud of sharing their work with millions of people. From the outside, it seems like music video choreographers have so much freedom in artistic choices like style of the piece and movement influences, but how much do choreographers truly get to create the exact choreography that they want? The exploration of music video choreography is really important because music videos are a way for the dance artform to be shared widely, but in scenarios like the one above, commercial popularity influences the creation of a choreography. Bankhead also mentioned that in music videos, he incorporates a snippet of choreography that even non-dancers can do, and these are usually the pieces that go viral. How do Los Angeles dance industry choreographers strike a balance between their own artistic vision and commercial pressures to create viral videos to become successful in the LA music video scene? My research seeks to answer this question through analysis of YouTube interviews, close reading of popular dance music videos, and interviews with choreographers.

Human Immunodeficiency Virus 1 (HIV-1) is a lentivirus and the causative agent of Acquired Immunodeficiency Syndrome (AIDS). HIV encodes a viral protease, the function of which is required for viral replication. The host innate immune sensor CARD8 detects HIV protease activity, leading to inflammasome activation during HIV infection. Inflammasomes are cytosolic innate immune complexes that recruit Caspase-1 and lead to secretion of pro-inflammatory cytokines and lytic cell death. Humans encode a single CARD8 gene; however Old World Monkeys (OWMs), the hosts of Simian Immunodeficiency Viruses (SIVs) encode two copies of CARD8. The function of the OWM CARD8 is unknown. To characterize the function of OWM CARD8s, I cloned CARD8 from representative OWMs and tested their responses to HIV and SIV protease in two ways. First, I determined if OWM CARD8s are capable of forming an inflammasome in response to HIV-1, a panel of SIVs, or the broad CARD8 activator VbP. I found that most, but not all, OWM CARD8s are functional but not responsive to HIV-1/SIVs. Human CARD8 senses HIV-1 through viral protease cleavage of its N-terminus. To determine if this lack of response of OWM CARD8s is due to the absence of viral protease cleavage, I will next perform western blots comparing human and OWM CARD8 proteolysis in the presence of absence of HIV/SIVs. My data suggests that the species-specific differences in CARD8 alters its capacity to detect viral proteases. We speculate that the absence of HIV-like pathogenesis in OWMs with endemic SIV may in part be due to the absence of CARD8 inflammasome activation to SIV protease.

Staphylococcus aureus is an important human pathogen that has increasingly developed resistance to antibiotics and antimicrobials. It is important to understand how genetic mutations influence antibiotic resistance to anticipate how the organism is able to evolve and combat emerging resistance. My project aims to fully characterize the impact of variants in the norA gene, which is associated with efflux-mediated resistance. The Salipante lab has developed a system for precision genome engineering in S. aureus by constructing a vector that is able to conduct recombineering while suppressing DNA repair, and a separate vector for killing unmodified bacteria using programmed CRISPR/Cas9. Using this system, I will construct a library of genetic mutations in the S. aureus genome that will encompass all possible single mutations in norA and to subsequently test the fitness costs of those mutations in the presence and absence of antibiotics.We will recombineer into S. aureus randomly mutagenized oligonucleotides that encode a silent mutation that renders transgenic bacteria immune to targeted CRISPR/Cas9 cutting. After killing off unmodified bacteria, the transformed population will be composed entirely of different mutants, so that with a large population size, we can statistically ensure that all possible random mutations are represented. We will analyze the gene sequence from the initial population, after the population has expanded in the absence of drugs, and after exposure to different concentrations of drugs, to compare the relative representation of each specific mutation. Changes that are detrimental under a condition will be underrepresented relative to the starting population, while those that are beneficial will be overrepresented. Mutations that are lethal will not be recovered in the first place. Our project has the potential to fully and comprehensively address clinically important questions regarding antibiotic resistance evolution in this gene.

Vaccines have successfully reduced global infectious disease burden, but there is room to improve vaccination technologies. Because many pathogens infect at mucosal sites, a goal of new vaccines is to promote strong mucosal and systemic antibody and T-cell responses. Integrated fiber microneedle devices (iFMN) are a novel oral vaccination method that may achieve this goal. These devices are patches with a polymer backfill matrix and multiple >1 mm pyramidal needles that penetrate immune cell-rich mucosal tissue in the mouth, inducing immune responses at draining lymph nodes. To test the hypothesis that priming with iFMN delivery of a DNA vaccine increases mucosal and systemic antibody responses after systemic booster immunization with the same vaccine, male rhesus macaques (n=6) were primed with an iFMN delivery of a DNA vaccine encoding Influenza A Virus (IAV) Nucleoprotein (NP) at weeks (0) and (6). The macaques then received a single boost of the same NP DNA vaccine at week (12) using the proven delivery modality of Gene Gun epidermal delivery (GG). Mucosal secretions (including bronchoalveolar lavage, saliva, and nasal/tracheal swabs) and serum were collected 2-4 weeks before and after each immunization. I conducted enzyme-linked immunosorbent assays (ELISAs) to quantify antigen-specific IgG and IgA binding antibody at each timepoint. To characterize the priming effect of iFMN oral delivery on systemic and mucosal antibody responses, I compared these animals’ responses to macaques (n=8) previously immunized with a single GG dose of the same NP DNA vaccine. The iFMN-primed animals had robust post-GG boost NP-specific IgG responses in serum but these responses were not significantly higher than for macaques boosted solely with GG DNA. These results demonstrate that iFMN delivery did not effectively prime for robust systemic and mucosal antibody responses. Additional experiments will be done to confirm these findings.

Skin cancer is the most common cancer in the United States, with 5.5 million annual cases. It is strongly associated with ultraviolet (UV) radiation that generates many mutations. There is thus a need to investigate what mutations drive skin cancer. The CDKN2A gene encodes the p16 tumor suppressor protein, and silencing of the CDKN2A gene plays a key role in cancer progression. Our previous mouse study showed that chronic UV irradiation to mouse skin induced mutations at the mouse Cdkn2a/p16 promoter. However, the impact of the mutations at this promoter on cancer progression remained unclear. We hypothesized that these UV-induced mutations at the Cdkn2a/p16 promoter may inhibit the binding of transcription factors, thereby suppressing the expression of the p16 tumor suppressor and leading to cancer development. The mutations at the Cdkn2a/p16 promoter were found in the DNA sequence that was similar to the ETS transcription factor binding motif. Also, it has been shown that ETS2 is expressed in the skin. Thus, we tested whether mouse ETS2 binds to the mouse Cdkn2a/p16 promoter by measuring light signals from luciferase that is expressed under the control of the promoter. Overexpression of mouse ETS2 resulted in higher light signals than no overexpression control, indicating that ETS2 binds to the mouse Cdkn2a/p16 promoter. We also tested mutated promoters that carry the UV-induced mutations. With overexpression of mouse ETS2, the mutated Cdkn2a/p16 promoter showed lower light signals than wild-type promoter, implying that the mutation at the promoter inhibits the binding of ETS2 transcription factor to the promoter. Although further investigations are needed, these results suggest that UV-induced mutations affect the binding of transcription factors. This study highlights the importance of investigating promoter mutations that may contribute to cancer progression.

For my Capstone Project, I initially considered crafting a 20-minute monologue reflecting on my journey as a non-traditional undergraduate student at UW. My experiences, ranging from humorous misunderstandings with faculty members to instances of mistaken identity at school events, offered a rich tapestry of anecdotes. However, as I delved deeper into my narrative, I realized that my story echoed the archetypal "Hero's Journey" found in both mythological tales and contemporary dramas like "The Matrix," "The Hunger Games," and the "Harry Potter" series. Motivated by this insight, I expanded my project to encompass broader themes, weaving together elements of my cultural heritage with universal motifs. After extensive research, I discovered the perfect vehicle for my vision: the Turkish myth of "Wild Dumrul." This ancient tale follows the exploits of a young wild man who imposes tolls on travelers crossing a dry riverbed until a transformative encounter with death alters his fate. My Capstone Project will take the form of a dramatic production enhanced by traditional folk dance and music. Alongside a captivating solo folk dance performance, I will provide a brief exposition on the myth's resonance with Greek mythology, particularly the parallels with the story of Alcestis. I am thrilled to collaborate with a diverse ensemble of nearly 20 individuals, including members of the Turkish community, the Seattle theater scene, and talented actors from UW's School of Drama. Together, we aim to bring "Wild Dumrul" to life on stage, inviting audiences to embark on a journey of discovery and reflection. I am deeply excited and honored to spearhead this ambitious endeavor, and I look forward to sharing the magic of "Wild Dumrul" with our community.

The ventral tegmental area (VTA) is a key region in the brain’s mesolimbic circuitry playing a role in regulating reward processing, aversion, motivation, and stress-related behaviors, housing both dopamine (DA) and GABA-expressing neurons. GABA neurons in the VTA form direct connections with DA neurons, modulating dopamine and influencing reward-related behaviors. This study aims to characterize two distinct VTA GABA populations marked by expression of the nociceptin gene (Pnoc) and corticotropin-releasing hormone binding protein (Crhbp). Using double transgenic mice and viral targeting, we aim to map the projection patterns of these two populations. We anticipate that Crhbp-GABA expressing populations will innervate the Ventral Pallidum and Lateral Habenula brain areas as these neurons also coexpress Vglut2, a marker for glutamate neurons which are known to project to these regions, whereas, Pnoc-GABA expressing populations might represent the local GABA population that synapses onto DA neurons within the VTA. To assess their functional role, we will optically activate these populations during a real-time place preference task (RTPT) using channelrhodopsin-2 (ChR2). We hypothesize that activation of Pnoc-GABA neurons will result in a negative valence response and support real time place aversion. On the other hand, Crhbp-GABA neurons may have a more varied effect on valence response, based on their coexpression of Vglut2, during the RTPP task. By understanding the roles of VTA GABAergic populations marked by Pnoc and Crhbp expression, we can gain insights into the neural mechanisms involved in reward processing, motivation, and stress, often dysregulated in psychiatric disorders. This understanding could ultimately inform the development of targeted therapeutic interventions for psychiatric conditions characterized by maladaptive behavioral responses to stress and other stimuli.

Sickle cell disease (SCD) is an autosomal recessive disorder caused by the inheritance of two abnormal hemoglobin genes and can present numerous health complications due to the sickling of red blood cells. It can lead to multiple comorbidities, and can have adverse effects on pregnancy. SCD is very common in Sub Saharan Africa in mainly developing countries, but it can pose risks to pregnant women even in developed countries. There has been conflicting information about whether or not the presence of SCD poses a significant risk to pregnancy outcomes. To analyze this, I systematically reviewed previously published evidence on the effects of SCD on maternal pregnancy outcomes in women from multiple hospitals in different countries from 1973 to 2021. I did a matched comparison of the outcomes between mothers with SCD (HbSS genotype) and mothers without SCD (HbAA genotype) using data from 11 studies. For binary variables, I used log risk ratio as the effect size metric, and for continuous variables, I used standardized mean difference. I hypothesized that the presence of SCD would pose a significant risk to pregnancy and lead to higher occurrences of adverse pregnancy outcomes. I found that there was a significantly higher risk of adverse pregnancy outcomes in mothers with SCD and their offspring, compared to mothers without SCD and their offspring. Perinatal mortality and stillbirths increased significantly with SCD, as well as intrauterine growth restriction, urinary tract infection, eclampsia, and occurrences of preterm delivery and c-section. I found that there was not a significantly higher risk of maternal death and premature rupture of membranes in mothers with SCD, although their risk was higher overall. Proper knowledge of the risks of pregnancy with SCD as well as proper management and treatment of the complications associated with it can improve maternal and fetal outcomes.

Snow is an essential resource, especially in the Pacific Northwest, where it provides clean drinking water, irrigation water, and helps prevent wildfires. Despite the importance of the snowpacks in the Pacific Northwest, the composition of snow is not well documented. The ion concentrations in snow can indicate where the snow came from. I have created a dataset of the concentrations of anions found in snow throughout Washington State. Snow samples were collected primarily throughout the Cascade Mountain Range by volunteers using sterilized plastic containers. Samples were melted and then analyzed using ion chromatography to quantify the anions in each sample. Samples were found to contain concentrations of fluoride, chloride, nitrate, bromide, phosphate, nitrite, and sulfate. These anions have previously been found to be present in glaciers, clouds, and freshly fallen snow. Cataloging these anions provides an important baseline from which to observe how human and natural impacts, including climate change, are affecting the snow in the Pacific Northwest.

Prosocial behavior is important to many species and its disruption is a hallmark symptom of many diseases and disorders such as autism. Previous research has shown that the mesostriatal network, which consists in part of neurons located in the midbrain that make the neurotransmitter dopamine and release it downstream in the nucleus accumbens, plays an important role in prosocial behavior. Dopamine neurons express the potassium ion channel Kv7.3 and mutant variants of Kv7.3 have been identified in individuals with autism spectrum disorder (ASD). Here we investigate how the Kv7.3-R2C variant found in ASD patients impacts social behavior and dopamine release in mice. We use viral strategies to express human Kv7.3-R2C in mouse dopamine neurons and a genetically encoded dopamine sensor (dLight1.3) in the nucleus accumbens during a social operant task. We found that while Kv7.3-R2C expression decreased social reward in an operant task rewarded with social behavior, dopamine release was similar between groups. Findings from this study help improve our understanding of how deficits in the mesostriatal pathway may lead to decreased social interaction in patients with ASD.

The effects of the fungal pathogen Swiss needle cast (SNC) on its host species, Douglas-fir, and its timber harvest repercussions have been researched. However, more research is needed regarding the effects of SNC on understory species and, consequently, browsing ungulate species. This study analyzes the effects of various thinning methods on SNC and SNC’s influence on understory species richness, diversity, and cover. The goal is to articulate a clear dynamic of SNC in Sitka spruce and Douglas-fir - western hemlock zones to provide insights for guiding forest management. I will analyze the Olympic Natural Resource Center’s pre and post-treatment data from Siuslaw National Forest with statistical analyses to articulate patterns in SNC presence, thinning, and understory change. The early, mid, and late seral/thinned treatments vary in density and by species replanted. I expect that thinning will decrease SNC abundance and increase understory species richness. Additionally, I predict that the stands replanted with red alder and conifers will see a higher abundance of understory due to red alder’s nitrogen-fixing ability. The enhanced understanding of SNC and thinning’s interplay aims to educate current and future forest managers about ecologically responsible management.

Two common craniofacial anomalies are cleft lip and palate, where the lip and roof of the mouth do not form completely, and craniosynostosis, where the soft spots of the skull fuse prematurely. Despite the prevalence of these birth defects, the genetic mechanisms by which they occur are still widely unknown. Hedgehog (Hh) signaling is a core developmental pathway that plays many roles in skull development including functioning as a guidance cue for cranial neural crest cells (cells that provide the foundation for bone and cartilage within the head) and regulating bone ossification (the hardening of the bone by osteoblasts developing into osteocytes). I am exploring the mechanism by which elevated Hh signaling changes cell fates, either through neural crest cells or osteoblasts, to influence craniofacial development. I investigated a mutant embryonic mouse model to identify regions where overexpression of Hh correlates to abnormal craniofacial phenotypes. I explored and measured these phenotypes via imaging, utilizing a genetic Hh reporter mouse line and skeletal stained embryos of various ages. My early qualitative and quantitative observations show patterns of widening midline structure that are seen by the increase in eye spacing and incomplete formation of the nasal and palate regions, as well as regions of premature ossification in the parietal regions of the skull. These findings suggest that elevated Hh signals result in abnormal development of the craniofacial region similar to cleft lip and palate and craniosynostosis. Deriving from these findings, I’m continuing to explore how Hh signaling plays a role in craniofacial development as well as gaining insight into the mechanism in which craniofacial anomalies arise.

The Allan Hill region of Antarctica has produced the oldest ice core samples ever recovered, which provide insights into Earth’s climate history prior to the existing 800,000 year ice core record. However, the highly disturbed nature of this ice complicates straightforward dating and interpretation. Understanding the scales of preserved climate records in this old ice will enable deeper insights into the variability of climate over the last 2 million years. Here I study a section of ice from ALHIC1901, an ice core recovered from the Allan Hills in 2019. This section has three parallel sets of water isotope measurements, and they all show a small but significant dip. However, the cause of this dip remains unclear. The goal of this study is to test whether this isotope change could be a glacial-interglacial transition preserved for 1.3 million years, or whether diffusion should have eliminated any climate signal. To investigate this question, I apply a simple water isotope diffusion model that takes as inputs temperature, an initial water isotope profile, and a thinning history, and provides as an output the resulting water isotope profile after a given number of years. I identify the range of possible temperature, thinning, and initial water isotope signals for this ice. I use these as inputs for the diffusion model, and compare the results to the ice core record to evaluate if the observed water isotope signal can be climatically driven. Constraining the cause of this water isotope signal will improve our understanding of fine scale paleoclimate proxy changes in the extremely old Allan Hills ice cores, enabling new insights into past climate variability.

All plants have symbiotic relationships with microbes known as endophytes. These endophytes, often bacterial, live within plant tissues and help improve resiliency in the face of environmental challenges. In our changing climate, we have become increasingly dependent on the unsustainable practice of using nitrogen-based fertilizers to promote plant growth. With the hypothesis that wild plants growing in nutrient-limited sites would have endophytes particularly strong in providing nutrients to the plant host, our team collected plant tissue samples from several sites along the Bogachiel River Trail located in the Bogachiel Rainforest near Forks, WA. We successfully isolated endophytes from these samples, characterizing each strain based on their ability to grow on nitrogen-limited growth media. We used acetylene reduction assays (ARA) as a proxy to quantify nitrogenase activity levels of fast-growing microbial strains. The strains we quantified with the most nitrogen-fixing activity were collected from the primary successional zone of the river, consistent with previous findings of the UW Plant Microbiology Laboratory. We later identified these promising strains through 16S DNA sequencing, and using bioinformatics platforms, we searched for genes involved in nitrogen fixation. The properties of nitrogen-fixing endophytes can be investigated as an alternative to nitrogen-based fertilizers, sustainably increasing plant productivity in environments where nitrogen is limited. Future plant experiments can now be performed using our strong nitrogen-fixing strains to determine if these microbes have plant growth-promoting properties. The isolation and further study of endophytes like these will be crucial in the future of sustainable agriculture.

Phytophthora belongs to a group of plant pathogens found in the Kingdom Protista and is known to be highly destructive to plants. The water mold has been found all over the U.S. but just in Washington and Oregon, there are over 30 different species. This water mold is a significant problem in the Pacific Northwest because it infects Pacific Rhododendron leaves. Comprehending the factors that contribute most to the diversification of the Phytophthora species is essential in sourcing and minimizing its spread. We anticipate that the presence of Phytophthora species in residential areas, influenced by human activities, will procure a higher diversity rate of at least 3 or more species. This expectation is rooted in the understanding that the human influence on these environments contribute to an increase in landscaping that works for the proliferation of diverse Phytophthora species. Our location sampling of choice for the bacteria was Chambers Creek located in Pierce County, WA. Chambers Creek has mostly residentially areas surrounding. We gathered four leaves from a rhododendron plant on the Pierce College Fort Steilacoom. We placed the collected rhododendron leaves into bags which were then submerged in the water and left undisturbed for a duration of approximately nine days for observation and analysis. We plan to inoculate the necrotic tissue into V8 agar. We plan to isolate DNA of the Cox-1 subunit protein and sequence it to then use bioinformatics to identify species of Phytophthora. We will use class data to determine if residential areas have an effect on Phytophthora diversity.

Infants perceive speech and acquire language amidst noisy and complex auditory environments. Thus, elucidation of the cognitive mechanisms governing speech perception under noisy conditions is crucial. Cortical encoding of the speech envelope has been one approach used to study speech-in-noise perception in adults. For infants, research shows that Infant Directed Speech (IDS) facilitates cortical encoding of the speech envelope in quiet conditions more than adult direct speech. However, it is unclear whether infants are able to track the IDS speech envelope amidst competing speech. To investigate this, we recorded the neural responses from 40 typically-hearing infants (20 seven-month-olds, 20 eleven-month-olds) to continuous IDS using electroencephalography (EEG) in three conditions: Quiet, Co-located Noise, and Separated Noise. The target stimuli consisted of naturally recorded IDS produced by two female English speakers. The noise stimuli consisted of a four-person babble constructed from audiobooks read by 2 male and 2 female English speakers. We presented stimuli at an overall level of 70 dB SPL via speakers placed at 0°, +90°, and -90° azimuth to infants sitting on a caregiver’s lap in a sound-attenuated booth. Our team analyzed EEG signals using the Multivariate Temporal Response Function (mTRF) toolbox in MATLAB. This backward modeling approach assesses whether the stimulus envelope can be reconstructed based on the recorded neural responses. Reconstruction accuracies greater than chance were observed in all three conditions for the majority of infants, suggesting that we were able to decode the speech envelope in both quiet and noise. Participants demonstrated the capacity to process speech, even amidst competing auditory stimuli, emphasizing speech perception competencies from an early developmental stage. These results support using the envelope model and mTRF method as a feasible method for investigating the development of speech-in-noise perception in infants and young children.

It is increasingly recognized that exposures during sensitive developmental time windows may lead to delayed onset of diseases later in life. Polybrominated diphenyl ethers (PBDEs) are legacy flame retardants that bioaccumulate in the environment as well as human breast milk. In both animal models and humans, PBDE exposure is linked to thyroid toxicity, neurodevelopmental disorders, and hepatotoxicity. Our previous work showed that neonatal oral exposure to BDE-99, a human breast milk-enriched PBDE congener, produced dysbiosis of the gut microbiome associated with a pro-inflammatory transcriptomic signature with the gut-liver axis. However, very little is known whether the BDE-99 mediated host effect is caused by the changes in the gut microbiome. To address this knowledge gap, large intestinal contents from adult male pups that were neonatally exposed to BDE-99 (57 mg/kg p.o. once daily from postnatal days 2-4) or corn oil (10 ml/kg) were transplanted to adult germ-free mice (i.e., mice without microbiome). After one month colonization period, total RNA was isolated from the colon and subjected to RT-qPCR. Ex-germ-free mice receiving the microbiome from BDE-99 exposed pups had decreased expression of genes involved in gut barrier integrity (tight junction protein 2 and claudin 7 [Cldn7]), indicating increased gut permeability. These mice also had increased expression of several pro-inflammatory cytokines including interferon gamma (Ifng) and interleukin 17 (Il17), but decreased expression of the major drug-metabolizing enzyme cytochrome P450 (Cyp) 3a11. In summary, our results suggest that early life BDE-99 exposure mediated persistent dysbiosis in the gut microbiome mechanistically contributes to a proinflammatory and leaky gut state with reduced xenobiotic metabolism capacities.

Through the production of a 150-page policy report, our team analyzes international activity in the Arctic related to the loss of summertime sea ice that opens new shipping routes, creates new opportunities for research extraction, and dramatically impacts the way of life for Indigenous Arctic communities, notably the Inuit. In the past decades, the Inuit and other Arctic Indigenous peoples have organized and created for themselves significant political power, leading to self-determination and self-governance initiatives and involvement in the Arctic Council, which is the leading forum for decision-making on Arctic issues. However, the growing economic value of the region also attracts non-Arctic states like China, who want to become a part of decision-making discussions on the region and benefit from the seasonal open ocean in the future. Given the growing power of Indigenous peoples and growing interest in the region, our report addresses two questions: what impact and influence do the policies of Arctic Indigenous Peoples, particularly Inuit, have on the roles of nation-states including non-Arctic nations such as China? And what are the implications of China’s Arctic policy on Arctic Indigenous Peoples, Canada, the United States, and beyond? We use qualitative research methods, mainly the review of primary and secondary source documents that situate our analysis. Our report also draws on meetings with government agencies and indigenous organizations in Ottawa. We will produce a series of recommended policies and areas for further attention that are meant to inform and guide nation states and organizations as they engage in the Arctic. Our analysis of Indigenous and international relations in the Arctic is important because the Arctic represents a unique and unusually successful arena for cooperation between nation states, Indigenous representation, and other non-state actors. This cooperation will only become more vital as global activity in the region increases.

Syphilis remains a serious global health concern, underscoring the need for better control strategies. If left untreated, the syphilis agent, Treponema pallidum subsp. pallidum (T. pallidum), can persist for decades due to its ability to evade the host immune response. Antigenic variation of the surface-exposed outer membrane protein TprK is believed to mediate persistence. TprK contains seven discrete variable (V) regions. TprK antigenic variation occurs via non-reciprocal gene conversion between the variable regions in the tprK expression site and 53 donor cassettes (DCs). We previously engineered a T. pallidum strain impaired of antigenic variation (SS14-DC^KO) by eliminating 51 of the 53 DCs. Rabbits infected with the DC^KO strain developed an attenuated infection phenotype with a reduced burden of T. pallidum cells compared to wild type (WT). Therefore, we hypothesized that if immunosuppressed rabbits are infected with SS14-DC^KO, the disease would undergo similar progression to rabbits infected with the WT strain. In this study, two rabbit groups (n=8) were either immunosuppressed with Depomedrol or untreated. Four rabbits in each group were infected intradermally with SS14-WT or SS14-DC^KO strain on clipped backs. Sera was isolated weekly to measure antibody titers using VDRL and TPPA. In addition, DNA was isolated from lesion biopsies to perform TprK profiling. Based on TprK profiling data, synthetic peptides for the most abundant V5, V6, and V7 variants were used to measure antibody reactivity by ELISA. Antibody titers measured by TPPA and VDRL were similar between immunosuppressed rabbits regardless of infecting strain. TprK profiling shows that the most abundant V sequence at the inoculum decreases over time in lesions as humoral reactivity to these peptides increases. Overall, this research demonstrates the role that TprK plays in the persistence of T. pallidum during syphilis infection and the need for novel control strategies.

The Cretaceous-Paleogene (K-Pg) mass extinction (66.052 Ma) is one of the most important events in mammalian evolution as it was the catalyst for mammals to diversify and fill the ecological holes left by the extinction of the non-avian dinosaurs. This extinction event impacted all groups of mammals, including the multituberculates, one of the longest-lived and most successful clades of Mesozoic and early Cenozoic mammals. The Constenius vertebrate fossil locality is in the lowermost Tullock Member of the Fort Union Formation in Garfield County, northeastern Montana, deposited within the first 28,000 years after the K-Pg mass extinction (66.052-66.028 Ma). Constenius is a very rich but understudied fossil locality that provides a snapshot of the immediate aftermath of the mass extinction. In this study, we used qualitative descriptions partnered with linear measurements to identify 44 lower fourth premolars (p4s) to the lowest possible multituberculate taxon. We recognize three genera of multituberculates from Constenius: Cimexomys, Mesodma, and Stygimys. The presence of these multituberculates supports the previous assignment of Constenius to the Pu1 interval zone of the Puercan North American Land Mammal Age (early Paleocene, 66.052-65.820 Ma). Further work on this project will include expanding the dataset to include other multituberculate dental specimens, such as upper premolars, and conducting a geometric morphometric analysis with the lower fourth premolar specimens to further confirm taxonomic identifications.

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition characterized by differences in attention, focus, and emotional regulation. We investigate the relationship between parent temperament, including negative affect, and emotional socialization in ADHD parent-child dyads (parents and their children with ADHD).  Temperament refers to innate behavioral traits shaping one’s personality. Individuals with ADHD are known to experience higher rates of temperamental negative affect. Negative affect is a temperament factor that includes significant aversion from feelings like sadness. Emotional socialization refers to response methods of emotion regulation and can be categorized as supportive and unsupportive. Our study is impactful because ADHD has high heritability rates, yet there is little research on parental ADHD symptoms and associated temperament differences’ effect on ADHD families. We hypothesize that parents who report more ADHD symptoms and/or higher levels of temperamental negative affect use less supportive emotional socialization strategies and more unsupportive strategies when interacting with their children with ADHD. To test this hypothesis, I assist with administration of parent self-report measures and assess negative talk during laboratory-based, video-recorded parent-child interactions. Parents complete the self-report Adult Temperament Questionnaire (ATQ), which evaluates negative affect frequency. We measure negative talk by coding frequency of verbal disapproval of the child’s behavior/ attributes during parent-child interactions, where I instruct parents to perform standardized tasks with their children and code parental verbalizations into categories like negative talk using the Dyadic Parent-Child Interaction Coding System (DPICS). I then use bivariate correlation analysis to determine the likelihood that the two variables occur together and are linked. Through our anticipated findings, we hope to better inform care for children with ADHD and provide more resources for ADHD parent-child dyads. We want to identify emotional state-based targets to use in parental interventions to better support emotional regulation strategies in ADHD families.

The Pacific Northwest (PNW) saw an unprecedented heatwave between June 25 to July 3 of 2021, with temperatures reaching up to 15℃ above the climatological mean. Previous research has examined the impact of this event on plants in Western Washington and Oregon through observational studies, and has focused on the economic implications for poor crop turnout. We used remote sensing data to take a top-down approach and examined how all plants throughout the PNW fared during and after this historical heatwave. Solar induced fluorescence (SIF) and Near-Infrared Reflectance of vegetation (NIRv) are two remotely sensed products that have been used to estimate plant health and gross primary productivity (GPP). SIF is more closely connected to plant processes like photosynthesis but has a short record (2018-2021) compared to VIIRS NIRv (2012-2021). We compared the responses of SIF to NIRv and found that both vegetation indices increased in trees and woody savannas, but decreased in grasslands and crops. However, SIF showed more intense and geographically larger increases in areas covered by trees. We then compared these vegetation indices to in-situ flux tower measurements of carbon fluxes, which did not always agree with SIF during the heatwave in woody areas. This study shows how remote sensing can further our understanding of how extreme events impact plant health, which is increasingly important as heatwaves become more intense and frequent in the future.

Matrescence, the transformative journey into motherhood, encompasses profound physical, emotional, and psychological changes with lifelong implications. Postpartum mothers face various challenges including recovery from childbirth, sleep deprivation, hormonal and cognitive changes, insufficient support, and social isolation, often leading to depression and anxiety. While traditional medical interventions address some issues, alternative modalities of care such as horticultural therapy (HT) are gaining traction in postpartum care due to their holistic approach. This paper investigates the potential benefits of incorporating HT into postpartum care, aiming to explore its effectiveness in treating stress and related conditions, addressing psycho-social challenges, and integrating insights from other alternative therapies like occupational therapy (OT) to enhance postpartum wellness. Through an exploration of existing literature and a proposed pilot study, this research aims to fill the gap in understanding HT's efficacy specifically for postpartum mothers. The study proposes a comprehensive approach targeting physical and psycho-social aspects of maternal well-being through 12-week HT sessions with 24 postpartum mothers aged 18-35, incorporating health screenings, socialization, and horticultural activities. The study anticipates improvements in mental health, reduced postpartum depression symptoms, enhanced social support, and positive mother-infant interactions. Statistical analysis and qualitative assessments will evaluate intervention effectiveness, engagement, and feasibility. Understanding the transformative potential of HT for postpartum mothers advocates for a paradigm shift in maternal healthcare towards holistic and patient-centered approaches. Integration of HT into postpartum care models aligns with the evolving healthcare landscape and addresses the multifaceted challenges of matrescence, particularly in marginalized populations, emphasizing early intervention and culturally sensitive practices. This research underscores the importance of innovative interventions like HT in addressing the complex needs of postpartum mothers and calls for further exploration and integration into healthcare practices.

Gravitational waves are ripples in the fabric of space-time caused by the rotation and merging of black holes deep in our universe. On earth, these waves cause a minute strain that can be measured with the Laser Interferometer Gravitational-wave Observatory (LIGO). We are developing a calibrator that exerts an oscillating gravitational force on the test mass of LIGO to precisely calibrate the strain sensitivity of the interferometer. The calibrator consists of four motor-driven rotors which are placed around the test mass. The four motors have to run at a constant speed and have to maintain an exact phase relationship. In this research, I designed motor-controller software in Python, which rotates the motors with constant speed with a phase uncertainty of less than 2 degrees. The system uses one of the motors as the reference and converts its encoder position changes to frequency. A Proportional-Integral-Derivative (PID) loop locks the encoder’s frequency to a reference frequency. Then, the three witness encoders are locked to the lead encoder. The gravitational force from the calibrator is calculated using a Python program from Prof. Gundlach's team. The code decomposes the calibrator into 3D points and applies multipole expansions to accurately compute the force at the center of LIGO’s test mass. The gravitational calibrator will help to reduce uncertainties in LIGO’s strain readouts.

The antibiotic penicillin is highly effective at treating the STI syphilis, caused by the bacterium T. pallidum. However, the United States has seen increases in syphilis cases every year for the past 20 years; congenital syphilis cases have risen more than 219% from 2017 to 2021 and overall syphilis cases have risen 32% from 2020 to 2021. This situation demonstrates the need for an effective vaccine as current approaches are not working. The aim of this project is to utilize phage immunoprecipitation sequencing (PhIP-Seq) techniques to assist in the development of an effective vaccine in rabbits and eventually humans. To this end I have been using PhIP-Seq techniques to systematically profile the immune responses to vaccine candidates and T. pallidum infections in rabbits. When rabbits are immunized with a cocktail of three strains of the protein TprC we saw a protective immune response against treponemes (resulting in no viable treponemes) whereas an immunization with TprD saw reduced immune protection. I used PhIP-Seq methods - informed by next-generation sequencing (NGS) and differential expression analysis - to determine the epitope-specificity of antibodies in polyclonal serum samples from rabbits immunized with these vaccine candidates. Epitope-specificity comparisons between the resulting antibodies of the two immunogens can shed light on regions of these proteins critical for protection against treponemes. In the next few months I plan to integrate alanine scanning mutagenesis into the project to assess amino acid binding specificity and accurately identify crucial residues for antibody-binding. The fusion of scanning mutagenesis with PhIP-Seq will allow me and the other research scientists assisting with the project to refine of the effectiveness of our existing vaccine candidates.

Phosphoribosyl Pyrophosphate Synthetase (PRPS1) is an enzyme in the nucleotide biosynthesis pathway that makes a molecule necessary for de novo nucleotide synthesis. It is known that PRPS1 protein hexamers can stack into linear filaments in the presence of ADP and phosphate. When these filaments are broken, catalytic activity is lost, and it is hypothesized that enzyme inhibition is lost as well. Mutations in PRPS1 lead to a wide spectrum of diseases in humans. In addition, changes in cell regulation of the enzyme have been linked to cancer. Motivated by research that connects PRPS1 phosphorylation to increased cancer proliferation, my project investigates the effects of phosphorylation on PRPS1 structure, enzyme activity, and inhibition properties. I have transformed plasmid DNA containing the PRPS1 phosphomimetic mutations S47E, S103D, and S308E into E. coli strains BL21 and pLysS. I then grew overnight bacterial cultures and induced protein expression using IPTG. After verifying protein expression with gel electrophoresis, I purified the protein from bacteria using nickel resin affinity and size exclusion chromatography. Having made and purified protein mutations that mimic phosphorylation, I conducted a negative stain screen to analyze filament formation trends. This has yielded preliminary findings that S47E and S103D phosphorylation mutations of PRPS1 break enzyme filament formation. Variation in filament formation between mutations points to the importance of phosphorylation location and its potential impact on enzyme activity and inhibition. To assess the catalysis of the phosphomimetic mutations in PRPS1, I will conduct biochemical assays which measure the activity and inhibition of the enzyme. Through these ongoing experiments we will learn how phosphorylation modifies PRPS assembly and activity and the implications of PRPS1 dysregulation in cancer proliferation.

Translation seeks to convey meaning between one form of communication and another. The ways in which translation is completed can concentrate power and influence in ways that favor those whose languages and communication methods are dominant. This distribution of power and influence has important historical and modern consequences. This social science research project explores how translation has impacted nation to nation relationships between Indigenous people and colonial governments in North America. The treaty making history of the Blackfoot Confederacy will be considered as a case study, with a focus on the making of Treaty 7 between the British Crown in Canada and the Blackfoot Nations of Siksika, Kainai, and Piikani as well as other First Nations. Treaty 7 was signed in 1877 in a geographical, social, ecological, and cultural context that was heavily influenced by treaties, colonial westward expansion, and diminished bison populations. This case study on translation is being conducted through a review of firsthand accounts of the making and signing of Treaty 7 and a literature review of documented Indigenous oral histories of the event. These reviews will be conducted with consideration for the shifting power dynamics at play during that time. Finally, current academic work on language reclamation will be considered for its potential to support Truth and Reconciliation efforts, and a greater respect for Indigenous sovereignty. Language is a tool for carrying out translation, and carries significant elements of culture. Indigenous languages have a connection to the lands where they come from that are important for understanding current social and ecological challenges. Modern language reclamation efforts may have potential for restoring a more balanced distribution of power and offering solutions to these challenges.

Dilated cardiomyopathy (DCM) is a leading cause of heart failure around the world. Inherited mutations cause the left ventricle of the heart to enlarge, thinning the heart muscle wall and decreasing the overall function of the heart. In my research project, I will determine if disrupting fibroblast function by knocking out a key developmental signaling factor, p38, can improve, or even reverse, DCM disease characteristics. Specific Aim 1 will be to determine the effects of p38 knockout-induced fibroblast dysfunction on cardiomyocyte function and structural remodeling in late-stage DCM. The rationale is that myocytes in DCM have poor contraction and structurally remodel to longer, thinner morphologies, which occurs in our DCM mouse model around 4 months of age. I expect to see less of these characteristics with the p38 knockout. Specific Aim 2 will assess cardiac fibroblast proliferation and fibrosis in response to disabling cardiac fibroblast function late into the DCM disease process. The rationale is that studying and observing the dynamics of the fibroblast population is critical when understanding the effects of fibroblasts and the p38 knockout model on DCM. In previous studies, the Davis lab identified that cardiac fibroblasts maladaptively respond to inherited DCM mutations in cardiac myocytes, worsening the whole heart. I expect to see less fibroblast proliferation in the p38 model. P38 is essential for fibroblast signaling pathways and functionality, so by knocking it out I will be able to test if fibroblasts are a viable therapeutic target for patients with DCM.

Challenges with social-emotional reciprocity, such as initiation of and response to social interactions, are a core diagnostic criteria of autism spectrum disorder (ASD), and many children with ASD experience challenges with expressive language. Prior research demonstrates parents are accurate reporters of language and fine motor skills development, but may under report social emotional reciprocity. The goal of my study is to discern how well parent concerns around child social-emotional reciprocity and language correspond to observed virtual interactions with their child. In a larger study investigating interventions for children with social communication concerns, parent participants of toddlers aged 25-41 months (n=41) completed the Toddler Autism Symptom Interview (TASI), a structured interview about core autism symptoms, over Zoom. Parent-child interactions were recorded in the same session while they completed the TELE-ASD-PEDS (TAP), a telehealth ASD assessment for toddlers. As part of the larger study, I am assisting with coding child expressive language, including use of words and multi-word combinations. For my independent research, I am coding child behavior on two tasks from the TAP, ‘calling the child’s name’ and ‘approaching others to play’. ‘Calling the child’s name’ is coded as the number of times the child stopped what they were doing to look at their caregiver when their name was called, while ‘approaching others to play’ is the number of times the child approached their caregiver during a 2-minute period where their caregiver was instructed to sit back and ignore their child. I will compare coded behaviors with corresponding items on the TASI. I hypothesize that parent reports will be more consistent with coded observations for language concerns than for social-emotional reciprocity behaviors. Understanding whether social-emotional reciprocity is being accurately reported by parents can help clinicians provide accurate diagnoses for ASD, especially given the critical role of parents in the diagnostic process.

NASA is currently developing communication infrastructure for the lunar landscape in preparation for its Artemis missions to the moon. When rovers explore remote areas on the moon, where radio signals may not reach, there is a need for methods to facilitate both communication from base camps and help the rover reconnect to the network. The goal is to develop a deep learning model to predict radio signal quality and maximize communication by autonomously relocating lunar rovers to areas with optimal signal strength. Channel State Information (CSI) data provides insight into how a signal propagates from transmitter to receiver, including data for the signal magnitude, phase, and ray interactions with the environment. I investigate feature selection methods with different combinations of simulated CSI data to train our Recurrent Neural Network (RNN) deep learning model and analyze the resulting performance. Previous research demonstrates one way to improve the prediction of a model is by utilizing information at the hidden layers, the internal layers between input and output data. I explore this method and aim to capture patterns over time with our CSI input data and RNN architecture for predicting the magnitude of the next ray hit. We expect that using additional information at hidden layers will help us understand the relationships between input data and help optimize the model. We anticipate validating the model through the use of real CSI data using physical experiments to replicate signal interaction in a lunar environment. Our work contributes to the development of communication technologies for upcoming lunar explorations. It also provides insight into the role deep learning can play in radio frequency propagation, paving the path for further research in this area.

Elementary school educators are primary influences on children’s development by helping shape their behavior with peers and in the classroom. Employees in education are deferred to by their newer coworkers regarding student interactions and set precedents for students’ school environment. New and seasoned educators’ disciplinary practices greatly vary when addressing students exhibiting problematic behaviors which may differently affect student-instructor relationships. I use an existing dataset from a larger study testing the impact of a novel implementation strategy on the implementation of a universal social, emotional, and behavioral program in nine elementary schools from one district. Educator participants in this study completed a survey battery when starting and ending the school year and the district provided quarterly discipline records via a universal prevention program. The findings identify trends in student disciplinary actions between new (<5 yrs) and experienced (>5 yrs) instructors. Understanding the relationship between teacher tenure and the treatment of student misbehavior is crucial to demystifying the manifestation of poor student enrichment and hostile student-instructor relationships. These findings could suggest how differential disciplinary practices by educators based on their years of experience influence student learning.

TAR DNA binding protein 43 (TDP-43) is an RNA/DNA binding protein that forms pathological aggregates in most amyotrophic lateral sclerosis (ALS) and half of frontotemporal lobar degeneration (FTLD) cases. Knockout of TDP-43 in animal models leads to neurodegeneration and motor deficits, but overexpression of wildtype TDP43 leads to the same events; therefore, TDP43 protein homeostasis is critical to prevent ALS/FTLD. To achieve this homeostasis, TDP-43 autoregulates its own mRNA splicing, resulting in multiple TDP-43 isoforms, some of which go through non-sense mediated decay to regulate overall TDP43 levels. However, other isoforms encode unique proteins with differing C-termini, leading to variable cellular localization. It is unknown if these alternative, protein-coding isoforms are predominantly associated with ALS/FTLD or if aging changes the frequency of these isoforms. To determine how TDP43 overexpression yields these different isoforms and interacts with aging and ALS-like symptoms, we created a novel approach to overexpress human TDP43 via Adeno-Associated Virus (AAV) delivered through retro-orbital injection, leading to ALS-like motor deficits. Surprisingly, when tested in older and younger mice, we found the older mice were paradoxically protected from severe motor deficits and mortality. To determine if tardbp alternative splicing is linked to ALS-like symptoms and aging, I designed and validated primers and protocols to measure the nine tardbp mRNA isoforms in mice via quantitative real-time polymerase chain reaction (qRT-PCR). I have started to determine if hTDP43 overexpression leads to differential splicing compared to mice injected with a sham AAV in these old and young mice. Once this is done, we will clone the most interesting differentially spliced isoform in an AAV and inject that AAV and a full-length TDP43 AAV into mice to see if the spliceform causes increased toxicity, manifesting in worsening motor deficits and mortality.

The robotic exploration of Mars has found that the early atmosphere was similar to current day Earth, suggesting that life could have existed on Mars in its past. The former atmospheric conditions and potential ancient rivers and lakes are preserved in the sedimentary rocks found across the surface. Interpretation of the Martian sedimentary record in Gale Crater, a possible ancient lake, requires differentiating between a variety of processes that alter sediment chemistry. Our study will contribute to the reconstruction of source rock composition based on the sedimentary records in ancient river systems on Mars. Iceland is a useful analog to ancient Mars as it has a similar climate and geologic makeup as well as similar environmental features, such as glaciers, volcanoes, rivers, and lakes. Here we characterize the chemical composition of source rocks in a cold, basaltic Mars analog source-to-sink system in Iceland and compare them to adjacent sediments. If the source rocks are primarily composed of palagonite, a glassy product of hydrothermal alteration of volcanic glass that weathers easily, we hypothesize that palagonite is the dominant component of the sediments. We analyzed the samples using Micro X-ray Fluorescence (μXRF) to examine thin sections of rock for changes in the elemental composition, and X-ray Fluorescence (XRF) to measure the bulk chemical composition of rocks and sediments. We used thin section classification to quantify the percent proportion of altered rock (palagonite). In source rocks with relatively high amounts of palagonite (greater than 10%), there was no significant chemical difference. The sediment samples are higher in Al, Si, and Fe and have less Mg and Ca. The difference in sediment and source rock chemistry indicates that another process is occurring, such as chemical weathering, sediment sorting, or that palagonite is a major portion of the sediments.

Primary care providers are responsible for utilizing well-child-check-ups to screen toddlers for autism spectrum disorder and immediately refer children with increased likelihood to diagnostic and intervention services. Participating in intervention services at young ages is extremely impactful as it often allows children to develop their social, cognitive, and language skills. However, it is estimated that only 40% of children who screen at an increased likelihood for autism are being referred to recommended services by their providers. It is especially important to look at autism referral rates as autism is half as likely to receive a referral from a provider than other developmental concerns. This mixed-methods study used a video vignette and focus groups to investigate factors influencing primary care providers’ decision- making regarding autism referral in a well-child-check-up setting. We examine the role of provider attitudes, autism knowledge, and distribution of attention (information providers attend to during a visit). We anticipate that providers will exhibit low knowledge of autism and intervention, and believe information about autism that has empirically been proven to be false. Additionally, we expect that providers pay less attention to clinically significant behavioral information than physical information during a well-child-check-up. Overall, we aim to understand what influences provider’s referral decisions to provide insight on a development of a future primary care provider intervention that supports the increase of autism referral rates. Ultimately, improving the developmental prognosis of children with autism.

Our undergraduate research project is on Phytophthora. Phytophthora translates to “plant destroyer”. The purpose of our research is to use watershed studies and bioinformatics to find patterns in the diversity of Phytophthora species found in local streams in Washington State. We assessed prior studies to estimate the probability of discovering Phytophthora in Chambers Creek, a local stream. Our hypothesis is, in comparison to freshwater, water sources closer to the ocean will have a higher diversity of Phytophthora species because they have more sources of contamination and higher saltwater concentrations. We chose the stream location based on previous watershed information we had. Additionally, we baited Chambers Creek with Rhododendron leaves in an attempt to grow Phytophthora. We then cultured the lesions on the leaves onto a V8 agar to grow Phytophthora. After that we isolated the DNA and “cleaned” it by using reagents to remove unused primers and deoxynucleoside triphosphates, then sent it off for sequencing. At this time, we used gel electrophoresis to determine the quality and quantity of our DNA. Lastly, we used bioinformatics to become familiar with sequence analysis using the National Center for Biotechnology Information Basic Local Alignment Search Tool. Three out of the four samples we obtained had no sequence matches but one sample was 100% positive for Phytophthora bilorbang. In conclusion our hypothesis was correct. Since our water source was subject to higher saltwater concentrations, it was more contaminated and had a higher diversity of Phytophthora species. Doing this research and discovering this information will help add to the knowledge of Phytophthora in Washington State. This can lead to where Phytophthora treatment is needed to protect our environment.

Climate change and global population growth are driving the need for more sustainable methods for growing crops used in agriculture and the production of biofuels. To address these challenges we are exploring the role of the plant microbiome in host plant tolerance to environmental stresses related to climate change. In particular, we are investigating whether endophytes, microorganisms that colonize the internal tissues of plants, make the host plants more tolerant to drought or low-nitrogen conditions. We are currently optimizing the process of DNA extractions of fruit and poplar trees which were inoculated with beneficial nitrogen-fixing bacteria, and grown in either water or nitrogen-limited conditions. We then purify high quality microbial DNA and use polymerase-chain reaction (PCR) to optimize strain-specific primers (SSP), which target specific DNA sequences in the genomes of our endophytes in the presence of competing DNA. This allows us to gain an understanding of where they colonize, and to demonstrate that the trees were successfully colonized by our endophytes to support growth and drought tolerance data collected from inoculated and uninoculated controls. By ensuring the SSPs only target our strains of interest, we differentiate our endophytes from other members of the plant microbiome. These primers are then used in Droplet Digital PCR (ddPCR) to quantify their relative abundance. Using this information we hope to demonstrate that beneficial endophytes can be used as a sustainable method for improving drought and low nitrogen tolerance in plants, both in agricultural and biofuel applications, reducing the consumption of nitrogen fertilizers and water for irrigation in these sectors.