Computational Tools For Protein Classification In Metagenomes, Fawad Ullah

Dissertations, Master's Theses and Master's Reports

Advances in genomic sequencing have dramatically increased the amount and the speed at which genomic data is being generated. These technological advances have enabled the ability to profile the genetic information of organisms and communities at unprecedented scales. Many methods have been developed to identify and classify genes within these datasets. However, many generic pipelines for gene annotation struggle to accurately predict specific protein classes that may not be represented in their databases. Two major challenges exist for classification of specific protein classes in metagenomic databases. The first is the fact that many metagenomic assemblies are highly fragmented with many …

A Bayesian Deep Segmentation Framework For Glioblastoma Tumor Segmentation Using Follow-Up Mris, Tanjida Kabir, Kang-Lin Hsieh, Luis Nunez, Yu-Chun Hsu, Juan C Rodriguez Quintero, Octavio Arevalo, Kangyi Zhao, Jay-Jiguang Zhu, Roy F Riascos, Mahboubeh Madadi, Xiaoqian Jiang, Shayan Shams

Faculty, Staff and Student Publications

Background: Glioblastoma (GBM) is the most common malignant brain tumor with an abysmal prognosis. Since complete tumor cell removal is impossible due to the infiltrative nature of GBM, accurate measurement is paramount for GBM assessment. Preoperative magnetic resonance images (MRIs) are crucial for initial diagnosis and surgical planning, while follow-up MRIs are vital for evaluating treatment response. The structural changes in the brain caused by surgical and therapeutic measures create significant differences between preoperative and follow-up MRIs. In clinical research, advanced deep learning models trained on preoperative MRIs are often applied to assess follow-up scans, but their effectiveness in this …

Methods In Statistics, Machine Learning, And Deep Learning For Combining Multi-Omics Dataset, Md Mutasim Billah

Dissertations, Master's Theses and Master's Reports

Transcriptome-wide association studies (TWAS) have emerged as a powerful strategy to bridge genome-wide association studies (GWAS) with gene regulatory mechanisms by integrating genotypic data with gene expression data. While early TWAS methods typically rely on linear models and single-tissue expression references, recent advances underscore the need for flexible, multi-tissue approaches that can capture heterogeneous regulatory architectures and tissue-specific expression patterns. This dissertation introduces a three‑part research project that advances multi‑tissue transcriptome‑wide association studies (TWAS) along complementary axes of methodology, statistical power, and modelling flexibility.

In chapter One, TWAS‑CTL introduces a two‑stage cross‑tissue learner that trains any user‑chosen single‑tissue imputers (STLs) …

Genomic Epidemiology Of Staphylococcus Aureus Sequence-Type 72, Sachitaa Senthilkumar

Honors Undergraduate Theses

Staphylococcus aureus (S. aureus, SA) is a gram-positive bacterial colonizer and pathogen commonly carried on the skin and in the anterior nares of humans. SA colonization may lead to a variety of non-invasive (e.g., skin and soft tissue infections, SSTIs) and invasive (e.g., bacteremia and osteomyelitis) infections. The SA population is comprised of multiple lineages that can be delineated through multi-locus sequence typing (MLST), which compares nucleotide sequences within seven housekeeping genes. Strains belonging to an MLST share a common evolutionary history and phenotypic characteristics like antibiotic resistance or virulence. As a result, the epidemiology of lineages can be …

Characterizing Somatic Variants In Nanopore Data With Machine Learning, Shwethal Sayeeram Trikannad

Master's Projects

Oxford Nanopore Technology (ONT) is a popular long-read sequencer in genomics. However, its high base-calling error rate produces several sequencing artifacts. Detection of somatic variants in ONT sequenced tumor-normal samples remains challenging due to low frequencies. In this study, machine learning was applied to a dataset created by benchmarking ClairS output against HCC1395 and colo829 truth sets to classify variants and artifacts. Relevant features were engineered from sequence context and variant site characteristics to model artifact profiles. HistGradientBoostingClassifier achieved 0.876950 accuracy, outperforming all other models. Variant quality was the top predictor with an aggregate accuracy of over 85%. This work …

Analysis Of Differential Gene Expression In Androgen-Independent Clones Derived From The Mycap Pca Cell Line, Jessie L. Tignor, Melanie Sinanian, Richard Inho Joh, David Gewirtz, Jason Reed

UROP Posters

Androgen deprivation therapy (ADT) is a primary treatment strategy for prostate cancer (PCa), yet many tumors eventually develop androgen independence, leading to treatment resistance. To investigate the molecular changes underlying this transition, we analyzed differential gene expression in four androgen-independent (AI) clones derived from the Myc-CaP prostate cancer cell line using RNA sequencing. Gene expression profiles were compared to the parental Myc-CaP line, and differentially expressed genes (DEGs) were identified using DESeq2 and edgeR. The AI clones exhibited significant downregulation of senescence-associated genes, including Ezh2 and lamin B1, suggesting a loss of senescence-related chromatin repression. Additionally, upregulation of Wnt pathway …

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 …

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 …

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 …

Testing Vivo-Morpholino Mediated Gene Knockdown Of Stat6, Spi1b, And Hnf4Α In Adult Threespine Stickleback, Stella Dipippo

Honors Scholar Theses

The fibrotic immune response to the cestode parasite, Schistocephalus solidus, varies among threespine stickleback populations. Fibrosis suppresses parasite growth but has costly effects on the fish. Previous genomic studies in stickleback have suggested potential roles of Spi1b, STAT6, and HNF4α in modulating fibrosis severity, but there is presently no evidence for this in-vivo. We used antisense vivo-morpholino oligonucleotides (MOs) to attempt to knockdown the expression of each gene in the liver, spleen, and intestine of adult stickleback. Vivo-MOs have been proven effective in other species of teleost fish, as well as in mice and humans, but …

Transcriptional Regulation In The Absence Of Inositol Trisphosphate Receptor Calcium Signaling, Michael Young, David M. Booth, David Smith, Marco Tigano, György Hajnóczky, Suresh K. Joseph

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

The activation of IP3 receptor (IP3R) Ca2+ channels generates agonist-mediated Ca2+ signals that are critical for the regulation of a wide range of biological processes. It is therefore surprising that CRISPR induced loss of all three IP3R isoforms (TKO) in HEK293 and HeLa cell lines yields cells that can survive, grow and divide, albeit more slowly than wild-type cells. In an effort to understand the adaptive mechanisms involved, we have examined the activity of key Ca2+ dependent transcription factors (NFAT, CREB and AP-1) and signaling pathways using luciferase-reporter assays, phosphoprotein immunoblots and whole genome transcriptomic studies. In addition, the diacylglycerol …

Genome-Wide Expression Profiling And Phenotypic Analysis Of Downstream Targets Identify The Fox Transcription Factor Jumeau As A Master Regulator Of Cardiac Progenitor Cell Division, M. Rezaul Hasan

Bakerman Student Research Awards

Forkhead box (Fox) transcription factors (TFs) mediate multiple conserved cardiogenic processes in both mammals and Drosophila. Our prior work identified the roles of two Drosophila Fox genes, jumeau (jumu) and Checkpoint suppressor 1-like (CHES-1-like), in cardiac progenitor cell specification and division, and in the proper positioning of cardiac cell subtypes. Fox TF binding sites are also significantly enriched in the enhancers of genes expressed in the heart, suggesting that these genes may play a core regulatory role in one or more of these cardiogenic processes. We identified downstream targets of Jumu by comparing transcriptional expression profiles of flow cytometry-sorted mesodermal …

Timigp: A Computational Framework To Determine The Tumor Immune Microenvironment Associated With Prognosis And Immunotherapy Response, Chenyang Li

Dissertations and Theses (Open Access)

Accumulating evidence has suggested that the tumor immune microenvironment (TIME) drastically impacts cancer patients’ clinical outcomes, including prognosis and immunotherapy response. However, understanding TIME remains challenging due to its complexity and heterogeneity. In this dissertation, we introduce TimiGP (Tumor Immune Microenvironment Illustration based on Gene Pairs), a computational framework designed to address this challenge. Leveraging single-cell RNA-seq (scRNA-seq) and bulk gene expression data alongside clinical information, TimiGP constructs a cell-cell interaction network that elucidates the relationship between immune cell function and relevant clinical outcomes, such as prognosis and treatment response. With immunological insights, these cell-cell interactions also facilitate the development …

A Pan-Cancer Single-Cell Analysis Of Intratumoral Copy Number Diversity And Evolution, Hanghui Ye

Dissertations and Theses (Open Access)

Aneuploidy is a hallmark of human cancers, with many copy number aberrations (CNAs) being associated with disease progression. Previous studies have revealed extensive inter-patient heterogeneity (IPH) in copy number profiles. However, the extent of intratumoral heterogeneity (ITH) and its evolutionary dynamics remain poorly understood.

To address these gaps, we developed Acoustic Cell Tagmentation (ACT), an advanced single-cell single-molecule DNA sequencing (scDNA-seq) technology, to resolve the copy number substructure of human tumors and investigate the evolution of aneuploidy. Applying ACT to eight triple-negative breast cancer (TNBC) patients to profile 9,765 aneuploid tumor cells, we discovered that following initial punctuated copy number …

Investigating The Rare Aneuploid Cells In Normal Breast And Therapeutic Resistance In Triple Negative Breast Cancer Using Single Cell Genomics, Yiyun Lin

Dissertations and Theses (Open Access)

Aneuploid epithelial cells are common in breast cancer, however their presence in normal breast tissues is not well understood. To address this question, we applied single cell DNA sequencing to profile copy number alterations (CNAs) in 83,206 epithelial cells from breast tissues of 49 healthy women and single cell DNA&ATAC co-assays to 19 women. Our data shows that all women harbored rare aneuploid epithelial cells (median 3.19%) that increased with age. Many aneuploid epithelial cells (median 82.22%) in normal breast tissues underwent clonal expansions and harbored CNAs reminiscent of invasive breast cancers (gains of 1q, losses of 10q, 16q and …

Bap1: Genotype-Phenotype Correlation, Variant Classification, And Treatment Efficacy, Elizabeth Hobbs

All Dissertations

BRCA1-associated protein 1 (BAP1) is a tumor suppressor gene located on chromosome 3p21.3 and encodes a deubiquitinase enzyme (DUB) involved in DNA repair, cell cycle and metabolism, and apoptosis. BAP1 pathogenic germline variants are primarily associated with a familial cancer syndrome, Tumor Predisposition Syndrome 1 (TPDS1), but new missense variants have been linked to a neurodevelopmental disorder known as Kury-Isidor Syndrome (KURIS). Patients with TPDS1 variants have an increased risk for developing cancers, such as uveal and cutaneous melanomas, mesothelioma, and renal cell carcinoma, at an earlier age with lower thresholds for environmental exposures, mainly UV rays and asbestos, compared …

Quantifying Effects Of Partial Genetic Backgrounds To Decode Genetic Drivers Of Clinical Phenotypes, Rini Pauly

All Dissertations

Understanding partial genetic backgrounds illuminates the genetic architecture of complex traits and diseases, revealing how diverse genetic backgrounds contribute to phenotypic diversity. With this approach we could advance personalized medicine by identifying population-specific variants affecting drug metabolism, tailoring medical treatments to individual genetic profiles. Additionally, it offers evolutionary insights into human history, shedding light on past migrations and the spread of genetic traits. This research leverages cutting-edge statistical genetics techniques and novel machine learning approaches to efficiently analyze extensive population genomic datasets, distilling complex admixture signals into meaningful genetic markers.

The study introduces Admix-AI, an innovative convolutional neural network-based tool …

Disruption Of The Oswrky71 Transcription Factor Gene Results In Early Rice Seed Germination Under Normal And Cold Stress Conditions, Santiago Bataller, James A. Davis, Lingkun Gu, Sophia Baca, Gaelan Chen, Azeem Majid, Anne J. Villacastin, Dylan Barth, Mira V. Han, Paul J. Rushton, Qingxi J. Shen

Life Sciences Faculty Research

Background

Early seed germination in crops can confer a competitive advantage against weeds and reduce the time to maturation and harvest. WRKY transcription factors regulate many aspects of plant development including seed dormancy and germination. Both positive and negative regulators of seed germination have been reported in many plants such as rice and Arabidopsis. Using a transient expression system, we previously demonstrated that OsWRKY71 is a negative regulator of gibberellin (GA) signaling in aleurone cells and likely forms a “repressosome” complex with other transcriptional repressors. Hence, it has the potential to impact seed germination properties.

Results

In this study, we …

Multi-Organ Gene Expression Analysis And Network Modeling Reveal Regulatory Control Cascades During The Development Of Hypertension In Female Spontaneously Hypertensive Rat, Eden Hornung, Sirisha Achanta, Alison Moss, James S. Schwaber, Rajanikanth Vadigepalli

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Hypertension is a multifactorial disease with stage-specific gene expression changes occurring in multiple organs over time. The temporal sequence and the extent of gene regulatory network changes occurring across organs during the development of hypertension remain unresolved. In this study, female spontaneously hypertensive (SHR) and normotensive Wistar Kyoto (WKY) rats were used to analyze expression patterns of 96 genes spanning inflammatory, metabolic, sympathetic, fibrotic, and renin-angiotensin (RAS) pathways in five organs, at five time points from the onset to established hypertension. We analyzed this multi-dimensional dataset containing ~15,000 data points and developed a data-driven dynamic network model that accounts for …

Dynamic Dysregulation Of Retrotransposons In Neurodegenerative Diseases At The Single-Cell Level\, Wankun Deng, Citu Citu, Andi Liu, Zhongming Zhao

Faculty, Staff and Student Publications

Retrotransposable elements (RTEs) are common mobile genetic elements comprising ∼42% of the human genome. RTEs play critical roles in gene regulation and function, but how they are specifically involved in complex diseases is largely unknown. Here, we investigate the cellular heterogeneity of RTEs using 12 single-cell transcriptome profiles covering three neurodegenerative diseases, Alzheimer's disease (AD), Parkinson's disease, and multiple sclerosis. We identify cell type marker RTEs in neurons, astrocytes, oligodendrocytes, and oligodendrocyte precursor cells that are related to these diseases. The differential expression analysis reveals the landscape of dysregulated RTE expression, especially L1s, in excitatory neurons of multiple neurodegenerative diseases. …

A Long-Recognized But Undescribed New Species Of Cyprinella (Cypriniformes: Leuciscidae) From North Carolina And South Carolina, United States, Bryn H. Tracy, Fred C. Rohde, Michael A. Perkins, Laura M. Lee, Kara B. Carlson, Madelyn Mccutcheon, Brena K. Jones, Heather K. Evans

Southeastern Fishes Council Proceedings

Cyprinella leptocheilus sp. nov., Siouan Thinlip Chub, is described as a new species that is endemic to Sand Hills and upper Coastal Plain streams in North Carolina and South Carolina. Recognized as an undescribed species since the early 1970s, this fish was known in the literature and in museum electronic databases as Hybopsis n. sp., H. sp. cf. zanema, Cyprinella n. sp., and C. sp. cf. zanema. Unofficially, it had gone by the common name Thinlip Chub. It was thought to be closely related to the two other barbeled Cyprinella species: Thicklip Chub, …

Decoding Complex Inherited Phenotypes In Rare Disorders: The Decipherd Initiative For Rare Undiagnosed Diseases In Chile, M Cecilia Poli, Boris Rebolledo-Jaramillo, Catalina Lagos, Joan Orellana, Gabriela Moreno, Luz M Martín, Gonzalo Encina, Daniela Böhme, Víctor Faundes, M Jesús Zavala, Trinidad Hasbún, Sara Fischer, Florencia Brito, Diego Araya, Manuel Lira, Javiera De La Cruz, Camila Astudillo, Guillermo Lay-Son, Carolina Cares, Mariana Aracena, Esteban San Martin, Zeynep Coban-Akdemir, Jennifer E Posey, James R Lupski, Gabriela M Repetto

Faculty, Staff and Students Publications

Rare diseases affect millions of people worldwide, and most have a genetic etiology. The incorporation of next-generation sequencing into clinical settings, particularly exome and genome sequencing, has resulted in an unprecedented improvement in diagnosis and discovery in the past decade. Nevertheless, these tools are unavailable in many countries, increasing health care gaps between high- and low-and-middle-income countries and prolonging the "diagnostic odyssey" for patients. To advance genomic diagnoses in a setting of limited genomic resources, we developed DECIPHERD, an undiagnosed diseases program in Chile. DECIPHERD was implemented in two phases: training and local development. The training phase relied on international …

The Impact Of Temperature And Humidity On The Transcriptome Of Symbiochloris Reticulata In Relation To Lobaria Pulmonaria’S Genepools, Ioana Violeta Ardelean, Christoph Scheidegger, Mihai Miclaus

FRONTIERS UNBOUND: Exploring Extreme Environments

No abstract provided.

Woolly Mammoth Genomic Adaptations To The Extreme Climate Shifts Of The Ice Age, David Diez-Del-Molino

FRONTIERS UNBOUND: Exploring Extreme Environments

No abstract provided.

Project Give: Using A Virtual Genetics Service Platform To Reduce Health Inequities And Improve Access To Genomic Care In An Underserved Region Of Texas, Blake Vuocolo, Roberta Sierra, Daniel Brooks, Christopher Holder, Lauren Urbanski, Keila Rodriguez, Jose David Gamez, Surya Narayan Mulukutla, Ana Hernandez, Alberto Allegre, Humberto Hidalgo, Sarah Rodriguez, Sandy Magallan, Jeremy Gibson, Juan Carlos Bernini, Melanie Watson, Robert Nelson, Lizbeth Mellin-Sanchez, Nancy Garcia, Lori Berry, Hongzheng Dai, Claudia Soler-Alfonso, Kent Carter, Brendan Lee, Seema R Lalani

Faculty, Staff and Students Publications

BACKGROUND: The utilization of genomic information to improve health outcomes is progressively becoming more common in clinical practice. Nonetheless, disparities persist in accessing genetic services among ethnic minorities, individuals with low socioeconomic status, and other vulnerable populations. The Rio Grande Valley (RGV) at the Texas-Mexico border is predominantly Hispanic/Latino with a high poverty rate and very limited access to genetic services. Funded by the National Center for Advancing Translational Sciences, Project GIVE (Genetic Inclusion by Virtual Evaluation) was launched in 2022 to reduce the time to diagnosis and increase provider knowledge of genomics in this region, with the goal of …

The Influence Of Environmental Change On Genetic Diversity Across Spatial And Taxonomic Scales, Connor M. French

Dissertations, Theses, and Capstone Projects

The spatial distribution of genetic diversity is of interest to biodiversity scientists and conservationists and is a fundamental metric of biodiversity. Genetic diversity patterns across spatial and taxonomic scales contain information about population and assemblage dynamics that can convey their resilience to environmental change. Ectotherms are especially linked to their environments and may be especially sensitive to fluctuations in the environment over time. Herein, I investigate global and regional patterns of genetic diversity in two groups of ectotherms, insects and lizards, to understand the relationship between environmental change and genetic diversity, from populations to assemblages. Overall, my research aims to …

Whole Genome And Reverse Protein Phase Array Landscapes Of Patient Derived Osteosarcoma Xenograft Models, Chia-Chin Wu, Licai Huang, Zhongting Zhang, Zhenlin Ju, Xingzhi Song, E Anders Kolb, Wendong Zhang, Jonathan Gill, Min Ha, Malcolm A Smith, Peter Houghton, Christopher L Morton, Raushan Kurmasheva, John Maris, Yael Mosse, Yiling Lu, Richard Gorlick, P Andrew Futreal, Hannah C Beird

Faculty, Staff and Student Publications

Osteosarcoma is the most common primary bone malignancy in children and young adults, and it has few treatment options. As a result, there has been little improvement in survival outcomes in the past few decades. The need for models to test novel therapies is especially great in this disease since it is both rare and does not respond to most therapies. To address this, an NCI-funded consortium has characterized and utilized a panel of patient-derived xenograft models of osteosarcoma for drug testing. The exomes, transcriptomes, and copy number landscapes of these models have been presented previously. This study now adds …

3d Chromatin Architecture, Brd4, And Mediator Have Distinct Roles In Regulating Genome-Wide Transcriptional Bursting And Gene Network, Pawel Trzaskoma, Seolkyoung Jung, Aleksandra Pękowska, Christopher H Bohrer, Xiang Wang, Faiza Naz, Stefania Dell'orso, Wendy D Dubois, Ana Olivera, Supriya V Vartak, Yongbing Zhao, Subhashree Nayak, Andrew Overmiller, Maria I Morasso, Vittorio Sartorelli, Daniel R Larson, Carson C Chow, Rafael Casellas, John J O'Shea

Faculty, Staff and Student Publications

Discontinuous transcription is evolutionarily conserved and a fundamental feature of gene regulation; yet, the exact mechanisms underlying transcriptional bursting are unresolved. Analyses of bursting transcriptome-wide have focused on the role of cis-regulatory elements, but other factors that regulate this process remain elusive. We applied mathematical modeling to single-cell RNA sequencing data to infer bursting dynamics transcriptome-wide under multiple conditions to identify possible molecular mechanisms. We found that Mediator complex subunit 26 (MED26) primarily regulates frequency, MYC regulates burst size, while cohesin and Bromodomain-containing protein 4 (BRD4) can modulate both. Despite comparable effects on RNA levels among these perturbations, acute depletion …

The Effect Of Acute Social Isolation On Neural Molecular Responses In Components Of The Social Decision-Making Network, Patricia C. Lopes, Madeleine Chang, Faith Holloway, Biola Fatusin, Sachin Patel, Chandler Siemonsma, Morgan Kindel

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Prolonged or chronic social isolation has pronounced effects on animals, ranging from altered stress responses, increased anxiety and aggressive behaviour, and even increased mortality. The effects of shorter periods of isolation are much less well researched; however, short periods of isolation are used routinely for testing animal behaviour and physiology. Here, we studied how a 3 h period of isolation from a cagemate affected neural gene expression in three brain regions that contain important components of the social decision-making network, the hypothalamus, the nucleus taeniae of the amygdala, and the bed nucleus of the stria terminalis, using a gregarious bird …