Genetics and Genomics Commons^™

Dissecting The Biophysical Mechanisms Of Oleate Hydratase Association With Membranes, William A. Lathram, Robert J. Neff, Ashley N. Zalla, James D. Brien, Vivekanandan Subramanian, Christopher D. Radka

Markey Cancer Center Faculty Publications

This study investigates the dynamics of oleate hydratase (OhyA), a bacterial flavoenzyme from Staphylococcus aureus, and its interactions with lipid membranes, focusing on the factors influencing membrane binding and oligomerization. OhyA catalyzes the hydration of unsaturated fatty acids, playing a key role in bacterial pathogenesis by neutralizing host antimicrobial fatty acids. OhyA binds the membrane bilayer to access membrane-embedded substrates for catalysis, and structural studies have revealed that OhyA forms oligomers on membrane surfaces, stabilized by both protein-protein and protein-lipid interactions. Using fluorescence correlation spectroscopy (FCS), we examined the effects of membrane curvature and lipid availability on OhyA binding to …

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 …

Revolutionizing Grapevine Breeding Programs: A Mobile Genome Editing System For Perennial Crops, Bridget Bolt

Theses and Dissertations--Plant and Soil Sciences

Grapevine (Vitis vinifera) faces unprecedented challenges from climate change, with up to 90% of current growing regions potentially becoming unsuitable for production within decades. Traditional breeding approaches require 25-30 years for variety development, creating a time constraint incompatible with the pace of environmental change. This research establishes the approach for a novel mobile RNA-based gene editing platform that addresses longstanding bottlenecks in grapevine improvement while preserving cultivar identity and reducing breeding timelines.

This research developed a three-component system for transgene-free gene editing in grapevine. First, a mobile CRISPR/Cas9 system was established using Agrobacterium rhizogenes transformation and the cut-and-dip …

Using Abandoned Model Systems And Historical Literature To Teach Modern Concepts And Techniques In Cell Biology, Leocadia V. Paliulis, Gunar Fabig, Sandra Stein, Silke Tulok, Anja Nobst, Chukwuebuka William Okafornta, Thomas Kurth, Thomas Müller-Reichert

Faculty Journal Articles

The cell biology literature of the 19th and early-to-mid 20th centuries is full of the seminal works that were critical for the development of our current understanding of biology but were done using model systems that are no longer commonly used. We argue that these historical papers are ideal for the development of course-based research experiences, both because the background work is conceptually and technically straightforward, and because the study of the abandoned systems stopped prior to the availability of modern techniques. These abandoned systems offer outstanding opportunities for teaching modern light and electron microscopy techniques, thus providing students with …

Accurate Body Weight Class Prediction From Mirna And Gene Expression In Blood And Saliva Samples, Kimberly Lettner

Master of Science in Forensic Science Directed Research Projects

miRNA interference on protein abundance related to glucose uptake and lipid production has been evaluated in biomedical research and linked to metabolic disorders like severe obesity. The direct regulation of protein abundance caused by miRNAs on a person’s metabolism can lead to an increased weight and overall size. Body size, measured by BMI, provides additional physical descriptions that can be combined with hair color, eye color, age, and skin pigment to aid investigations of unidentified remains or unknown suspects not found in a database. The purpose of this project was to evaluate the miRNA expression of target biomarkers in dried …

Functional Characterization Of The Hdt5 Gene In Aspergillus Flavus Morphogenesis, Mycotoxin Production, And Fungal Phytopathogenicity, Brenda Omburo

Graduate Research Theses & Dissertations

The present study aimed at elucidating the role of hdt5 in fungal morphology, mycotoxin production and in plant virulence in Aspergillus flavus. Currently, methodologies to prevent the negative impact of A. flavus are insufficient. It is known that expression of the hdt5 gene is dependent on hbx1, a master regulatory gene that affects expression of hundreds of genes in the A. flavus genome, controlling both development and secondary metabolism. However, while the aflatoxin gene cluster has been elucidated, the genetic regulatory mechanisms controlled by hdt5 are not fully understood. For this study, therefore, a complete strain set composed of a …

Gadd34 And Crep Regulation In The Unfolded Protein Response, Comparing Molecular Mechanisms In Humans And Zebrafish, Angela Adams

University of the Pacific Theses and Dissertations

In eukaryotic cells, many newly synthesized proteins are sent to the endoplasmic reticulum (ER) of a cell to be folded into the proper conformation for functionality. When proteins get misfolded, or cannot be folded fast enough, these proteins accumulate in the ER which causes the cell to become stressed. This leads to a process known as the Unfolded Protein Response (UPR). Once UPR has been initiated, the α subunit of eukaryotic initiation factor 2 (eIF2α) becomes phosphorylated to inhibit global protein synthesis within the cell, while simultaneously activating the expression of several genes to either aid in cell recovery or …

Prevalence Of Insecticide Resistance Gene In Aedes Albopictus Populations Of Central Illinois, Merylann Akinyi Ochieng

Masters Theses

The Asian tiger mosquito, Aedes albopictus, is a significant vector for diseases such as Dengue, Chikungunya, and Zika. Its increasing resistance to insecticides poses a critical challenge for vector control efforts. This study investigates knockdown resistance (kdr) mutations in the voltage-gated sodium channel (VGSC) genes, specifically V1016G and F1534C, which are associated with pyrethroid resistance. Aedes albopictus populations from Central Illinois were analyzed using allele-specific PCR techniques to address three primary objectives: (1) determining whether V1016G and F1534C mutations are present in these populations, (2) determining which mutation is more widespread, and (3) investigating how resistance gene …

Nature, Nurture, And Serial Murder: A Biocriminological Analysis Of Jeffrey Dahmer And Aileen Wuornos, Dori W. Jal

Honors Thesis

In recent years, there has been an increase in public fascination with serial killers, however current criminological explanations continue to focus on social and psychological factors, lacking commentary on potential biological implications. This thesis addresses a gap in the literature by examining how biological processes, specifically epigenetic, neurobiological, and endocrinological mechanisms, interact with environmental stressors to shape serial homicidal behavior. The goal is to determine whether serial murder can be more effectively understood through a biosocial framework that integrates biological vulnerability with lived experience, rather than relying on singular explanatory models.

Using a qualitative multiple-case study methodology, this research analyzes …

Pattern Integration And Differentiation: Dual Process Model Of Episodic Memory, Hallvard Røe Evensmoen, Lars M. Rimol, Henning Stople Rise, Tor Ivar Hansen, Hamed Nili, Anderson M. Winkler, Asta K. Håberg

Human Genetics Publications

The role of precise timing in episodic memory remains obscure. We showed 139 participants episodes consisting of objects, and tested subsequent memory for the precise timing and order of the objects and episodes. Temporal compression of the episode enhanced memory for relative but not absolute timing of the objects’ presentation and their order. Conversely, temporal expansion between neighboring episodes was associated with successful memory for episode order. fMRI in 36 participants revealed that temporal compression of the episode was associated with more similar activation patterns within episodes in several brain regions including the posterior hippocampus. However, the activation pattern in …

Investigating Mitochondrial Stress Response Mechanisms In Aging, Aileigh E. Daniel

Theses and Dissertations

Mitochondrial dysfunction is widely recognized as a key contributor to aging and age-related diseases. The concept of mitohormesis suggests that low levels of ROS can activate stress-responsive transcription factors, promoting adaptive mechanisms that enhance longevity. We hypothesized that changes in protein abundance under conditions of mild mitochondrial stress reflect an adaptive response, and that commonly altered proteins across diverse genetic backgrounds of mitochondrial stress can help identify key regulators of stress resilience and aging. Our study identified conserved mitochondrial stress response pathways and highlighted candidate regulators for further investigation. These regulators appear to impair mitochondrial energy production by downregulating ATP …

Enhancing Clinical Trial Matching In Molecular Diagnostics: Using Natural Language Processing And Clustering Approaches In Hematological Malignancies, Gillian Fanning

Theses and Dissertations

Clinical trial matching is a critical component of personalized medicine, particularly in the management of hematologic malignancies. At Virginia Commonwealth University (VCU) Health, the Molecular Diagnostics (MDX) Lab produces somatic variant reports and recommends clinical trials based on the presence of clinically significant mutations. However, the current manual trial recommendation process is time-intensive and lacks scalability.

This study introduces a computational framework to streamline and standardize clinical trial matching using natural language processing (NLP) and unsupervised clustering. Trial brief descriptions were analyzed to extract frequent terms, and trials were grouped based on term similarity using joint dimensionality reduction and clustering. …

Identification Of Benzothiophene-Derived Inhibitors Of Flaviviruses By Targeting Rna-Dependent Rna Polymerase, Leah Liu Wang, Shazeed-Ul Karim, Aidan Hand, Ryan Brunkhorst, Mackenna Petersen, Sarah Altam, Yi Liu, Luwen Zhang, Fengwei Bai, Shi-Hua Xiang

School of Biological Sciences: Faculty Publications

Flaviviruses such as Dengue, West Nile, and Zika viruses are mosquito-borne RNA viruses that can cause serious diseases in humans. To develop effective drugs for treating these viruses’ infections, we create a new approach for developing common or shared drugs that may work for several different viral species of flaviviruses. It is based on the conserved RNA-dependent RNA polymerase (RdRp), which is the key enzyme for viral replication. We built up a common structure of RdRps (POLcon) from their consensus sequence. A conserved Triple-D structural motif was identified at the active site of POLcon that has been used for virtual …

Whole Genome Sequencing From Snowshoe Hare Fecal Samples, Jessica J. Powell

Graduate Student Theses, Dissertations, & Professional Papers

Genomic analyses can provide powerful insights into important issues in conservation biology, including rapid estimates of overall genetic diversity and related population genetic parameters. Noninvasive DNA sampling from fecal samples is an affordable, efficient, and broadly applicable sampling method that has been used in many targeted genetic analyses. However, the efficacy of whole genome sequencing from fecal samples remains relatively unexplored in most taxa. Here, we present results from two experiments designed to test the quantity and quality of whole genome resequencing data obtained from snowshoe hare (Lepus americanus) fecal pellets. Extensive previous research has used genetic analyses …

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 …

Cath-Ddg: Towards Robust Mutation Effect Prediction On Protein-Protein Interactions Out Of Cath Homologous Superfamily, Guanglei Yu, Xuehua Bi, Teng Ma, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Motivation: Protein-protein interactions (PPIs) are fundamental aspects in understanding biological processes. Accurately predicting the effects of mutations on PPIs remains a critical requirement for drug design and disease mechanistic studies. Recently, deep learning models using protein 3D structures have become predominant for predicting mutation effects. However, significant challenges remain in practical applications, in part due to the considerable disparity in generalization capabilities between easy and hard mutations. Specifically, a hard mutation is defined as one with its maximum TM-score < 0.6 when compared to the training set. Additionally, compared to physics-based approaches, deep learning models may overestimate performance due to potential data leakage.

Results: We propose new training/test splits that mitigate data leakage according to the CATH homologous superfamily. Under the constraints of physical …

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 …

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 …

Transcriptome-Wide Gene Expression Analysis Of Skeletal Muscles Of Duchenne Muscular Dystrophy Mouse Models And Patients, Olivia N. Ransiear

Electronic Theses & Dissertations (2024 - present)

Duchenne Muscular Dystrophy (DMD) is an X-linked recessive muscle degenerative disease that frequently proves fatal by age 30. It primarily affects adolescent males with symptoms appearing as early as age 6. Patients quickly lose their ability to walk due to muscle weakness and are confined to wheelchairs for the remainder of their lives. DMD is caused by a mutation in the dystrophin gene. Without dystrophin, mechanical stress, injury, or shock takes a drastic toll on muscle tissue and muscle stem cells, rendering them unable to regenerate or be repaired. This results in a rapid loss of muscular strength and muscle …

Dna And Protein Determinants For P63 Transcriptional Activity, Abigail Mccann

Electronic Theses & Dissertations (2024 - present)

The transcription factor p63 is critical for development of the epidermis and other epithelial-related structures. Mutations in the DNA-binding domain of p63 lead to a range of human developmental disorders characterized by symptoms such as ectrodactyly, painful skin dysplasia, and cleft lip and palate. The TP63 gene is also amplified in squamous cell carcinomas, contributing to tumor pathogenesis. While the importance of p63 in human health is well established, the mechanisms underlying its control of an essential gene network remain unclear. TP63 encodes multiple isoforms with distinct N- and C-terminal domains. The ∆Np63α isoform is directly linked to epidermal development …

Determination Of Structural Factors Contributing To Protection Of Zinc Fingers In Estrogen Receptor Α Through Molecular Dynamic Simulations, Patricia B. Lutz, Wesley R. Coombs, Craig A. Bayse

Chemistry & Biochemistry Faculty Publications

The ERα transcription factor that induces tumor growth is a potential target for breast cancer treatment. Each monomer of the ERα DNA-binding domain (ERαDBD) homodimer has two conserved (Cys)₄-type zinc fingers, ZF1 (N-terminal) and ZF2 (C-terminal). Electrophilic agents release Zn²⁺ by oxidizing the coordinating Cys of the more labile ZF2 to inhibit dimerization and DNA binding. Microsecond-length molecular dynamics (MD) simulations show that greater flexibility of ZF2 in the ERαDBD monomer leaves its Cys more solvent accessible and less shielded from electrophilic attack by sulfur-centered hydrogen bonds than ZF1 which is buried in the protein. In the …

The Importance Of Solution Studies For The Structural Characterization Of The Enterovirus 5' Cloverleaf, Morgan G. Daniels, Meagan E. Werner, Xiaobing Zuo, Steven M. Pascal

Chemistry & Biochemistry Faculty Publications

Enteroviruses initiate genomic replication via a highly conserved mechanism that is controlled by an RNA platform, also known as the 5' cloverleaf (5'CL). Here, we present a biophysical analysis of the 5'CL conformation of three enterovirus serotypes under various ionic conditions, utilizing CD spectroscopy, size-exclusion chromatography, and small-angle X-ray scattering. In general, a tendency toward a smaller monomeric hydrodynamic radius in the presence of salts was observed, but the exact structural signature of each 5'CL varied depending upon the serotype. Rhinovirus B14 (RVB14) exhibited at least two monomeric conformations and a low propensity for dimerization, while poliovirus 1 (PV1) showed …

Influence Of Multi-Species Data On Gene-Disease Associations In Substance Use Disorder Using Random Walk With Restart Models, Erich J. Baker, Everest U. Castaneda, Sharon Moore, Jason A. Bubier, Stephen K. Grady, Michael A. Langston, Elissa J. Chessler

Funded Scholarship

A major challenge lies in discovering, emphasizing, and characterizing human gene-disease and gene-gene associations. The limitations of data on the role of human gene products in substance use disorder (SUD) makes it challenging to transition from genetic associations to actionable insights. The integration of data from multiple diverse sources, including information-dense studies in model organisms, has the potential to address this gap. We demonstrate a modified performance of the Random Walk with Restart algorithm when multi-species data is integrated in the heterogeneous network within the context of SUD. Additionally, our approach distinguishes among disparate pathways derived from the Kyoto Encyclopedia …

Electrochemical Strategies For Microrna Quantification Leveraging Amplification And Nanomaterials: A Review, Alexander Hunt, Gymama Slaughter

Center for Bioelectronics Publications

MicroRNAs (miRNAs) are small, non-coding RNAs that regulate gene expression and have emerged as critical biomarkers in various diseases, including cancer. Their stability in bodily fluids and role as oncogenes or tumor suppressors make them attractive targets for non-invasive diagnostics. However, conventional detection methods, such as Northern blotting, RT-PCR, and microarrays, are limited by low sensitivity, lengthy protocols, and limited specificity. Electrochemical biosensors offer a promising alternative, providing high sensitivity, rapid response times, portability, and cost-effectiveness. These biosensors translate miRNA hybridization events into quantifiable electrochemical signals, often leveraging redox-active labels, mediators, or intercalators. Recent advancements in nanomaterials and signal amplification …

Weighted Family History Density Of Substance Use: Influence On Participant Substance Use Onset, Escalation, And Duration, Carleigh A. Litteral

Theses and Dissertations--Psychology

Substance use disorders impose a staggering toll on the United States (U.S.), straining healthcare systems, destabilizing communities, and profoundly impacting both individuals and families. Approximately one in six Americans aged 12 and older had a past-year substance use disorder in 2022 (Key Substance Use, 2022), and nearly one-third of adults experience a substance use disorder in their lifetime (Wu, 2010), contributing to an economic burden exceeding $400 billion annually (National Drug Threat Assessment, 2011). Family history of substance use disorders is a key predictor of vulnerability, with individuals who have affected relatives being 2–8 times more …

The Effects Of Plx 3397 On Fentanyl Escalation In Male And Female Sprague-Dawley Rats, Jakob Shaykin

Theses and Dissertations--Psychology

Purpose: A hallmark characteristic of opioid use disorder (OUD) is a persons’ ‘loss of control’, which leads to the compulsion to seek and obtain opioids, resulting in increased consumption. This phenomenon is known as ‘escalation of drug intake’. Chronic opioid use causes microglial reactivity and subsequent release of proinflammatory cytokines leading to neuroinflammation, weakening one’s executive control over drug taking and ultimately leading to greater use. Previous research in our laboratory has explored heterogeneity of fentanyl intake in extended access (6-hr) sessions and identified distinct endophenotypes of fentanyl intake. Moreover, we have observed a positive correlation between Treml1 expression …

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 …