Genetics and Genomics Commons^™

The Relationship Between Cardiac Patient Beliefs And Experiences With Insurability And Their Decisions On Whether Or Not To Pursue Genetic Testing, Julia Schoeni

Theses and Dissertations

Since the enactment of the Genetic Information Non-Discrimination Act (GINA) in 2008, genetics providers have been incorporating conversations about GINA in pre-test counseling. There is currently limited evidence of the effects of personal or family histories of cardiomyopathy or aortopathy and associated genetic testing on patients seeking insurance policies not protected by GINA, including life, long term care, and disability insurance. This study aimed to determine whether individuals with a personal or family history of cardiomyopathy or aortopathy are having conversations about future insurability with their healthcare providers and how they perceive their ability to get these insurances when deciding …

Factors Influencing Adherence To Surveillance Guidelines In Individuals With Tuberous Sclerosis Complex, Kashish Khanna

Theses and Dissertations

Tuberous Sclerosis Complex (TSC) is a genetic condition that is caused by pathogenic changes in either the TSC1 or TSC2 gene and is characterized by multiple benign tumors, otherwise known as hamartomas, in various organs such as the brain, skin, lungs, and kidneys. Because of the many different clinical manifestations of TSC, extensive surveillance guidelines are recommended for individuals with TSC. Past studies have shown that there has been a gap in knowledge of these surveillance guidelines. These studies also suggest projects that measure adherence to surveillance guidelines and address specific challenges hindering surveillance guideline adherence. This study aims to …

Anthropocene Genetic Diversity Loss In The Marine Tropics, René D. Clark, Brendan N. Reid, Eric Garcia, Marial Malabag, Robin S. Waples, Rene A. Abesamis, Jemelyn Grace P. Baldisimo, Abner A. Bucol, Kyra S. Fitz, Sharon F. Magnuson, Richard N. Muallil, Cleto L. Nanola Jr., Roy Roberts, John C. Whalen, Christopher E. Bird, Kent E. Carpenter, Malin L. Pinsky

Biological Sciences Faculty Publications

Genetic diversity is a crucial component of biodiversity, and as such, its maintenance and preservation is of high conservation concern. Tropical environments are undergoing intense rates of environmental change, and these changes may be driving large declines in genetic diversity. However, data on genetic diversity are highly skewed towards temperate regions. The degree to which diversity loss has occurred in tropical species, particularly marine species, remains an open and important question. Here, we directly compare genomic data from modern and museum collections of two commercially-harvested nearshore marine fishes (Equulites laterofenestra and Gazza minuta) gathered from a single location …

Preservation Of Genetic Diversity And Selection Over A Century In A Coral Reef Fish (Taeniamia Zosterophora) In The Philippines, Kyra S. Fitz, Rene A. Abesamis, Jemelyn Grace P. Baldisimo, Abner A. Bucol, René D. Clark, Eric Garcia, Ivan R. Lopez, Sharon F. Magnuson, Marial J. Malabag, Richard N. Muallil, Lynne R. Parenti, Brendan R. Reid, Mudjekeewis D. Santos, Christopher E. Bird, Kent E. Carpenter, Malin L. Pinsky

Biological Sciences Faculty Publications

Evaluating the evolutionary impacts of anthropogenic activity on populations is key to understanding species resiliency and to designing effective conservation strategies. Sequencing DNA from historical specimens provides the opportunity to establish a historical baseline and empirically assess changes in genetic diversity, changes in effective population size, and selection over time. Here, we sequenced historical and contemporary samples of the cardinalfish Taeniamia zosterophora collected in 1908 and in 2021-2022 across two sites with differing human impact in the Philippines. At both sites, genetic diversity increased over time, with contemporary samples having significantly higher Watterson's Θ than historical samples. This diversity increase …

Symbiodiniaceae Shifts Over The Last Decade On The Hottest Coral Reefs On Earth, Anna Fiesinger, Rachel Alderdice, Luigi Colin, Hannah Manns, Gabriela Perna, Kathryn H. Stankiewicz, Jacob J. Valenzuela, Line K. Bay, Daniel J. Barshis, Nitin S. Baliga, Iliana B. Baums, John A. Burt, Christian R. Voolstra

Biological Sciences Faculty Publications

Corals in the Persian/Arabian Gulf (PAG) are resilient to various stressors, whose levels exceed those of coral reefs globally. These corals thereby offer insight into mechanisms underlying thermal resilience, e.g., regarding the role of endosymbiotic microalgae in the family Symbiodiniaceae. Previous studies have identified the thermotolerant species Cladocopium thermophilum as broadly associated with corals in the southern PAG. However, algal-host specificity at the within-species level and the temporal stability of these associations are not well understood. Here we sampled two dominant stony corals (Porites harrisoni, n = 119 and Platygyra daedalea, n = 79) at three sites …

Utilizing Evisits To Increase Access To Genetic Services For The Hearing Loss Population: A Tailored Service Delivery Model, Ansley Roberts

Theses and Dissertations

Purpose: Patients referred for genetics services have specific barriers decreasing accessibility, such as communication difficulties, long wait times, and misconceptions about the utility of genetic testing. We assessed a new tailored service delivery model used by the Greenwood Genetic Center to evaluate patients referred for hearing loss to determine if this model increases access to genetics services for individuals with hearing loss. Methods: Data points such as wait times, testing plan, and diagnostic yield were compiled from patient medical records. Comparison and analysis of data was completed by visit type, in-person, virtual, and electronic visits (eVisits), between October 2023 – …

Heterogeneous Clustering Of Multiomics Data For Breast Cancer Subgroup Classification And Detection, Joseph Pateras, Musaddiq Lodi, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

The rapid growth of diverse -omics datasets has made multiomics data integration crucial in cancer research. This study adapts the expectation–maximization routine for the joint latent variable modeling of multiomics patient profiles. By combining this approach with traditional biological feature selection methods, this study optimizes latent distribution, enabling efficient patient clustering from well-studied cancer types with reduced computational expense. The proposed optimization subroutines enhance survival analysis and improve runtime performance. This article presents a framework for distinguishing cancer subtypes and identifying potential biomarkers for breast cancer. Key insights into individual subtype expression and function were obtained through differentially expressed gene …

Deepssetracer 2.0: Improved Deep Learning Model Performance For Protein Secondary Structure Segmentation From Cryo-Em Maps, Bryan Hawickhorst, Thu Nguyen, Willy Wriggers, Jiangwen Sun, Jing He

Computer Science Faculty Publications

DeepSSETracer is a method for segmenting protein secondary structure from medium-resolution (5-10Å) cryogenic electron microscopy (cryo-EM) density maps. We conducted experiments and ablation studies to examine the effects of normalization methods, max-pooling, activation functions, and loss calculation region on DeepSSETracer. By combining multiple technical improvements, the performance of the new version, DeepSSETracer 2.0, was significantly enhanced compared to DeepSSETracer 1.1. On a set of 77 test cases, the weighted average per-voxel F1 score increased from 62.1% to 70.3% for helix detection, and from 47.8% to 62.5% for β-sheet detection. While each of the five modifications in the network enhanced the …

An Edna Assessment Of The Diamond Darter (Crystallaria Cincotta) In Its Current And Historic Distribution Range, Cameron Moore Layne

Graduate Theses, Dissertations, and Problem Reports (ETD)

Environmental DNA (eDNA) can serve as a useful monitoring tool for cryptic and imperiled freshwater stream fishes. eDNA can fill knowledge gaps regarding species’ distribution, site abundance, and habitat usage. The last known stronghold of the Diamond Darter (Crystallaria cincotta) in the Elk River of West Virginia provides an excellent test case to examine the utility of this non-invasive method of surveying rare species. Diamond Darters are one of the most newly recognized freshwater fishes in North America and are among the most imperiled U.S. fishes, having been federally listed as endangered in 2013. The cryptic behavior and limitations of …

A Scoping Review Of Population Diversity In The Common Genomic Aberrations Of Clear Cell Renal Cell Carcinoma, Sean S. Kumar, Ninad Khandekar, Komal Dani, Saina R. Bhatt, Vinay Duddalwar, Anishka D' Souza

Department of Medicine Faculty Publications

Introduction: Previous literature has shown that clear cell renal cell carcinoma (ccRCC) is becoming a more prevalent diagnosis and that the incidence and mortality differ both regionally and racially. While the molecular profiles for ccRCC are studied regionally through biopsy and sequencing techniques, the genomic landscape and ccRCC diversity data are not well studied. We conducted a review of the known genomic data on 6 of the most clinically relevant DNA biomarkers in ccRCC: von Hippel-Lindau (vHL), Polybromo-1 (PBRM1), Breast Cancer Gene 1-Associated Protein 1 (BAP1), Histone-Lysine N-Methyltransferase Domain-Containing 2 (SETD2), Mammalian Target of Rapamycin (mTOR), and Lysine-Specific Demethylase 5C …

Late Diagnosis Of Klinefelter Syndrome: Overcoming Phenotypic Variability And Diagnostic Oversights, Amna Kamran, Chinelo Okigbo

Department of Medicine Faculty Publications

We report a case of Klinefelter syndrome (KS) diagnosed in adulthood, emphasizing the impact of phenotypic variability and the declining reliance on physical examination in delayed recognition. A 27-year-old male with obesity, low libido, and biochemical and clinical primary hypogonadism was found to have 47, XXY karyotype, consistent with KS. His hypogonadism was initially attributed to obesity and overlooked, despite classic signs of a micropenis and small testes. The case highlights the importance of physical examination, comprehensive history, and clinician awareness in diagnosing KS, particularly in atypical presentations. KS is associated with increased risks of osteoporosis, cardiovascular disease, and psychosocial …

A Non-Toxic Analgesic Elicits Cell-Specific Genomic And Epigenomic Modulation By Targeting The Pag Brain Region, Hernan A. Bazan, Brian L. Giles, Surjyadipta Bhattacharjee, Scott Edwards, Nicolas G. Bazan

School of Medicine Faculty Publications

Acetaminophen (ApAP) is widely used for pain management, but overuse or overdose leads to hepatotoxicity, making it the leading cause of acute liver failure globally. There is an urgent need for safer pain medications, as other non-opioid analgesics like non-steroidal anti-inflammatory drugs (NSAIDs) are nephrotoxic. We have identified SRP-001 as a safer, non-hepatotoxic, novel analgesic that overcomes ApAP's limitations by avoiding NAPQI formation and preserving hepatic tight junctions. Using coupled RNA and ATAC sequencing, from the periaqueductal gray (PAG) midbrain region, we compared the genetic and epigenetic signatures of SRP-001 and ApAP treatments following complete Freund's adjuvant (CFA)-induced inflammatory pain …

Phylogenetic Analysis Of Metabolic Enzymes In Hypoxic/Anoxic Conditions In Cetaceans And Cancer, Samerna A. Masih

Electronic Theses & Dissertations (2024 - present)

Cancer cells often exhibit a Warburg-like metabolism, which includes increased fatty acid synthesis and storage that help them survive in hypoxic conditions. This shift is marked by the heightened synthesis and accumulation of fatty acids, acting as a survival mechanism in low-oxygen environments (Baumann et al., 2016). Interestingly, deep-diving whales may utilize a similar metabolic pathway to produce wax esters during their prolonged dives.

Our study focused on exploring the genetic and metabolic similarities between breast cancer cells and deep-diving whales, using computational analyses to investigate lipid metabolism genes. We looked for evolutionarily conserved variations that might reveal adaptive mechanisms …

Polygenic Risk Scores Of Grip Strength In Men And Women With Or At Risk For Hiv, Sreevidya Sadananda Sadasiva Rao

Electronic Theses & Dissertations (2024 - present)

Background: Adequate hand function among older adults is necessary for the successful completion of activities of daily living and can affect whether an older adult is able to live independently. Current research highlights grip strength, the strength people have in their hands, as a robust predictor of morbidity and mortality, and explores the decline in grip strength over time. A person’s family history and genes (DNA) affect how much grip strength they have. Previous studies have identified genes that affect grip strength, mainly in European ancestry populations. In this study, we examined whether these genetic elements predict grip strength in …

Codon Composition In Human Oocyters Reveals Age-Associated Defects In Mrna Decay, Pavla Brachova, Lane K. Christenson, Nehemiah S. Alvarez

Department of Biomedical and Translational Sciences Faculty Publications

Oocytes from women of advanced reproductive age exhibit diminished developmental potential, but the underlying mechanisms remain incompletely defined. Oocyte maturation depends on translational control of maternal mRNA synthesized during growth. We performed a computational analysis on human oocytes from women < 30 versus ≥40 years and observed that mRNA GC content correlates negatively with half-life in oocytes from young (< 30 yr) but positively with oocytes from aged (>40 yr) women. In young oocytes, longer mRNA half-life is associated with lower protein abundance, whereas in aged oocytes GC content correlates positively with protein abundance. During the GV-to-MII transition, codon composition stratifies stability: codons that support rapid translation (optimal) stabilize mRNA, while slow-translating codons (non-optimal) promote decay. With reproductive aging, GC-containing codons become more optimal and align with increased …

Longitudinal Host Transcriptional Responses To Sars-Cov-2 Infection In Adults With Extremely High Viral Load, Vasanthi Avadhanula, Chad J Creighton, Laura Ferlic-Stark, Divya Nagaraj, Yiqun Zhang, Richard Sucgang, Erin G Nicholson, Anubama Rajan, Vipin Kumar Menon, Harshavardhan Doddapaneni, Donna Marie Muzny, Ginger A Metcalf, Sara Joan Javornik Cregeen, Kristi Louise Hoffman, Richard A Gibbs, Joseph F Petrosino, Pedro A Piedra

Faculty, Staff and Students Publications

Current understanding of viral dynamics of SARS-CoV-2 and host responses driving the pathogenic mechanisms in COVID-19 is rapidly evolving. Here, we conducted a longitudinal study to investigate gene expression patterns during acute SARS-CoV-2 illness. Cases included SARS-CoV-2 infected individuals with extremely high viral loads early in their illness, individuals having low SARS-CoV-2 viral loads early in their infection, and individuals testing negative for SARS-CoV-2. We could identify widespread transcriptional host responses to SARS-CoV-2 infection that were initially most strongly manifested in patients with extremely high initial viral loads, then attenuating within the patient over time as viral loads decreased. Genes …

Goldenbraid20 E Coli: A Comprehensive And Characterized Toolkit For Enterics, Matthew B Cooke, Kobie T Welch, Laura D Ramirez, Alice X Wen, David C Marciano, Christophe Herman

Faculty, Staff and Students Publications

Modular cloning systems streamline laboratory workflows by consolidating genetic 'parts' into reusable and modular collections, enabling researchers to fast-track strain construction. The GoldenBraid 2.0 modular cloning system utilizes the cutting property of type IIS restriction enzymes to create defined genetic 'grammars', which facilitate the reuse of standardized genetic parts and assembly of genetic parts in the right order. Here, we present a GoldenBraid 2.0 toolkit of genetic parts designed to accelerate cloning in the model bacterium

Research For All: Building A Diverse Researcher Community For The All Of Us Research Program, Rubin Baskir, Minnkyong Lee, Sydney J Mcmaster, Jessica Lee, Faith Blackburne-Proctor, Romuladus Azuine, Nakia Mack, Sheri D Schully, Martin Mendoza, Janeth Sanchez, Yong Crosby, Erica Zumba, Michael Hahn, Naomi Aspaas, Ahmed Elmi, Shanté Alerté, Elizabeth Stewart, Danielle Wilfong, Meag Doherty, Margaret M Farrell, Grace B Hébert, Sula Hood, Cheryl M Thomas, Debra D Murray, Brendan Lee, Louisa A Stark, Megan A Lewis, Jen D Uhrig, Laura R Bartlett, Edgar Gil Rico, Adolph Falcón, Elizabeth Cohn, Mitchell R Lunn, Juno Obedin-Maliver, Linda Cottler, Milton Eder, Fornessa T Randal, Jason Karnes, Kitani Lemieux, Nelson Lemieux, Nelson Lemieux, Lilanta Bradley, Ronnie Tepp, Meredith Wilson, Monica Rodriguez, Chris Lunt, Karriem Watson

Faculty, Staff and Students Publications

OBJECTIVES: The NIH All of Us Research Program (All of Us) is engaging a diverse community of more than 10 000 registered researchers using a robust engagement ecosystem model. We describe strategies used to build an ecosystem that attracts and supports a diverse and inclusive researcher community to use the All of Us dataset and provide metrics on All of Us researcher usage growth.

MATERIALS AND METHODS: Researcher audiences and diversity categories were defined to guide a strategy. A researcher engagement strategy was codeveloped with program partners to support a researcher engagement ecosystem. An adapted ecological model guided the ecosystem …

What Are The Genetic Influences Of Alcohol Sensitivity And Alcohol Metabolism? A Narrative Review Of Human Studies, Erwin Murray, Karen G. Chartier Phd, Msw

UROP Posters

Background: Alcohol sensitivity and alcohol metabolism are two phenotypes associated with alcohol use disorder (AUD) influenced by genetics. This narrative review aims to answer “What are the genetic influences of alcohol sensitivity and alcohol metabolism?” to gain a better understanding of the genetic aspects of AUD.

Methods: A database search was performed in PubMed. Empirical human genetic studies published between 2009 and 2025 that focused on alcohol sensitivity (measured by the Self-Rating of the Effects of Alcohol scale) or alcohol-metabolizing genes were eligible for review. Studies were screened to determine inclusion for the current review.

Findings: Fifteen …

Zic1 Is A Context-Dependent Medulloblastoma Driver In The Rhombic Lip, John J Y Lee, Ran Tao, Zhen You, Parthiv Haldipur, Anders W Erickson, Hamza Farooq, Liam D Hendriske, Namal Abeysundara, Cory M Richman, Evan Y Wang, Neha Das Gupta, Jennifer Hadley, Melissa Batts, Christopher W Mount, Xiaochong Wu, Alex Rasnitsyn, Swneke Bailey, Florence M G Cavalli, Sorana Morrissy, Livia Garzia, Kulandaimanuvel Antony Michealraj, Abhi Visvanathan, Vernon Fong, Jonelle Palotta, Raul Suarez, Bryn G Livingston, Miao Liu, Betty Luu, Craig Daniels, James Loukides, Anne Bendel, Pim J French, Johan M Kros, Andrey Korshunov, Marcel Kool, Fernando Chico Ponce De León, Mario Perezpeña-Diazconti, Boleslaw Lach, Sheila K Singh, Sarah E S Leary, Byung-Kyu Cho, Seung-Ki Kim, Kyu-Chang Wang, Ji-Yeoun Lee, Teiji Tominaga, William A Weiss, Joanna J Phillips, Shizhong Dai, Gelareh Zadeh, Ali G Saad, László Bognár, Almos Klekner, Ian F Pollack, Ronald L Hamilton, Young-Shin Ra, Wieslawa A Grajkowska, Marta Perek-Polnik, Reid C Thompson, Anna M Kenney, Michael K Cooper, Stephen C Mack, Nada Jabado, Mathieu Lupien, Marco Gallo, Vijay Ramaswamy, Mario L Suva, Hiromichi Suzuki, Kathleen J Millen, L Frank Huang, Paul A Northcott, Michael D Taylor

Faculty, Staff and Students Publications

Transcription factors are frequent cancer driver genes, exhibiting noted specificity based on the precise cell of origin. We demonstrate that ZIC1 exhibits loss-of-function (LOF) somatic events in group 4 (G4) medulloblastoma through recurrent point mutations, subchromosomal deletions and mono-allelic epigenetic repression (60% of G4 medulloblastoma). In contrast, highly similar SHH medulloblastoma exhibits distinct and diametrically opposed gain-of-function mutations and copy number gains (20% of SHH medulloblastoma). Overexpression of ZIC1 suppresses the growth of group 3 medulloblastoma models, whereas it promotes the proliferation of SHH medulloblastoma precursor cells. SHH medulloblastoma ZIC1 mutants show increased activity versus wild-type ZIC1, whereas G4 medulloblastoma …

Foundation Models In Bioinformatics, Fei Guo, Renchu Guan, Yaohang Li, Qi Liu, Xiaowo Wang, Can Yang, Jianxin Wang

Computer Science Faculty Publications

With the adoption of foundation models (FMs), artificial intelligence (AI) has become increasingly significant in bioinformatics and has successfully addressed many historical challenges, such as pre-training frameworks, model evaluation and interpretability. FMs demonstrate notable proficiency in managing large-scale, unlabeled datasets, because experimental procedures are costly and labor intensive. In various downstream tasks, FMs have consistently achieved noteworthy results, demonstrating high levels of accuracy in representing biological entities. A new era in computational biology has been ushered in by the application of FMs, focusing on both general and specific biological issues. In this review, we introduce recent advancements in bioinformatics FMs …

Gramseq-Dta: A Grammar-Based Drug-Target Affinity Prediction Approach Fusing Gene Expression Information, Kasul Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Drug–target affinity (DTA) prediction is a critical aspect of drug discovery. The meaningful representation of drugs and targets is crucial for accurate prediction. Using 1D string-based representations for drugs and targets is a common approach that has demonstrated good results in drug–target affinity prediction. However, these approach lacks information on the relative position of the atoms and bonds. To address this limitation, graph-based representations have been used to some extent. However, solely considering the structural aspect of drugs and targets may be insufficient for accurate DTA prediction. Integrating the functional aspect of these drugs at the genetic level can enhance …

A Data-Driven Sliding-Window Pairwise Comparative Approach For The Estimation Of Transmission Fitness Of Sars-Cov-2 Variants And The Construction Of The Evolution Fitness Landscape, Md Jubair Pantho, Richard Annan, Landen Alexander Bauder, Sophia Huang, Letu Qingge, Hong Qin

Computer Science Faculty Publications

Estimating the transmission fitness of SARS-CoV-2 variants and understanding their evolutionary fitness trends are important for epidemiological forecasting. Existing methods are often constrained by their parametric natures and do not satisfactorily align with the observations during COVID-19. Here, we introduce a sliding-window data-driven pairwise comparison method, the differential population growth rate (DPGR) that uses viral strains as internal controls to mitigate sampling biases. DPGR is applicable in time windows in which the logarithmic ratio of two variant subpopulations is approximately linear. We apply DPGR to genomic surveillance data and focus on variants of concern (VOCs) in multiple countries and regions. …

Benchmarking Batch-Effect Correction Methods Towards The Construction Of A Triple-Negative Breast Cancer Cell Atlas, Peter Scheible, Amy H. Tang, Jing He, Jiangwen Sun

Computer Science Faculty Publications

Triple-negative breast cancer (TNBC) requires detailed cellular mapping given its aggressive nature, immense tumor heterogeneity and genetic diversity. We integrated 156,794 cells from six scRNA-seq datasets—including tumors, metastases, and cell lines—to build a TNBC scRNA cell atlas, focusing on batch effect mitigation while maintaining biological and molecular details. Preprocessing f ilters noise, normalizes data, and leverages PCA for integration readiness. We utilized scANVI, a semi-supervised tool, to align datasets, preserving TNBC’s complex tumor heterogeneity via marker annotations [1]. UMAPs demonstrate biological clustering in integrated data, contrasted with datasetdriven unintegrated patterns. Assessments verifying effective batch correction. This method aligns with NASA’s …

A Survey On Deep Learning For Drug-Target Binding Prediction: Models, Benchmarks, Evaluation, And Case Studies, Kusal Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Conventional drug discovery is expensive, time-consuming, and prone to failure. Artificial intelligence has become a potent substitute over the last decade, providing strong answers to challenging biological issues in this field. Among these difficulties, drug-target binding (DTB) is a key component of drug discovery techniques. In this context, drug-target affinity and drug–target interaction are complementary and essential frameworks that work together to improve our comprehension of DTB dynamics. In this work, we thoroughly analyze the most recent deep learning models, popular benchmark datasets, and assessment metrics for DTB prediction. We look at the paradigm shift in the development of drug …

Function Over Form: The Benefits Of Aspen As Surrogate Brood-Rearing Habitat For Greater Sage-Grouse, Michel T. Kohl, Charles P. Sandford, Paul C. Rogers, Renee Chi, Terry A. Messmer, David K. Dahlgren

Aspen Bibliography

Species of conservation concern are often habitat specialists, posing significant risk to those species when specific plant communities are threatened. As a result, practitioners habitually focus conservation efforts on these communities while ignoring ecological mechanisms that explain the wildlife–plant relationships. In doing so, practitioners may overlook alternative vegetation communities that could maintain wildlife populations under alternative conditions (e.g., climate change). Here, we term these areas surrogate habitat, defined as vegetation communities or resource sites that provide similar critical resources as conventional sites, and assess their potential for conservation using a case study of greater sage-grouse (Centrocercus urophasianus) on …

Regulation And Function Of Mec-2 Alternative Splicing In Single Cells, Canyon Calovich-Benne

Biological Sciences Theses and Dissertations

One mechanism for generating diversity at the single cell level is selective expression of a unique set of transcription factors (TFs) and RNA binding proteins (RBPs). These regulatory factors contribute to functions of cells by controlling cell fate, turning genes on and off, and processing of transcripts either co- or post-transcriptionally. Many genes, especially neuronal genes, have multiple different splicing events, promoters, and/or polyadenylation sites. Post-transcriptional coordination is in the infancy of being studied and the functional consequences of this coupling at the single cell level has yet to be explored. Here we show, mec-2 coordination of alternative transcription start …

Hidden Markov Model For Identifying Local Variants In Human Genomes Using Simulated Data, Scott Mccallum

Electronic Theses and Dissertations

Identifying adaptive mutations in genetic data is challenging due to the low frequency of occurrence of such events, and because signatures of selection are intertwined with the footprints of various other evolutionary forces that shape our genomes. Even when a larger region appears to be under selection, genomic sites that are linked to adaptive mutations have similar statistical signals, and thus can obfuscate the identification of the actual adaptive mutation. The new method described here uses a Hidden Markov Model that allows for classification of neutral, linked, and sweep (adaptive mutation) genomic sites. This model is general and can be …

From Sampling To Simulating: Single-Cell Multiomics In Systems Pathophysiological Modeling, Alexandra Manchel, Michelle M. Gee, Rajanikanth Vadigepalli

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

As single-cell omics data sampling and acquisition methods have accumulated at an unprecedented rate, various data analysis pipelines have been developed for the inference of cell types, cell states and their distribution, state transitions, state trajectories, and state interactions. This presents a new opportunity in which single-cell omics data can be utilized to generate high-resolution, high-fidelity computational models. In this review, we discuss how single-cell omics data can be used to build computational models to simulate biological systems at various scales. We propose that single-cell data can be integrated with physiological information to generate organ-specific models, which can then be …

Tree Rings Reveal Mixtures Of Aspen And Spruce Exhibit Greater Drought Resilience In A Planted Field Experiment, Jéssica Chaves Cardoso, Linhao Wu, Marcel Schneider, Charles A. Nock

Aspen Bibliography

Boreal forests provide a wealth of ecosystem services, many of which are linked to forest productivity. Climate change is expected to increase the frequency, duration, and severity of drought, and undermine the productivity of western boreal forests. Favouring species mixtures has emerged as a potential strategy to increase forest resilience to drought. To test the hypothesis that mixtures of trembling aspen and white spruce were more productive than pure stands because they were more resistant and resilient to drought, we analyzed community and species responses to drought utilizing measurements of annual growth obtained from stem disc samples from a planted …