Life Sciences Commons^™

Differential Expression Of Cyb5a In Chinese And European Pig Breeds Due To Genetic Variations In The Promoter Region..Pdf, Ying Bai, Jibin Zhang, Y Xue, Yl Peng, Gang Chen, Meiying Fang

Jibin Zhang

Leveraging Global Gene Expression Patterns To Predict Expression Of Unmeasured Genes, James Rudd, René A. Zelaya, Eugene Demidenko, Ellen L. Goode, Casey S. Greene S. Greene, Jennifer A. Doherty

Dartmouth Scholarship

BackgroundLarge collections of paraffin-embedded tissue represent a rich resource to test hypotheses based on gene expression patterns; however, measurement of genome-wide expression is cost-prohibitive on a large scale. Using the known expression correlation structure within a given disease type (in this case, high grade serous ovarian cancer; HGSC), we sought to identify reduced sets of directly measured (DM) genes which could accurately predict the expression of a maximized number of unmeasured genes.

Ethanol Exposure During Synaptogenesis In A Mouse Model Of Fetal Alcohol Spectrum Disorders: Acute And Long-Term Effects On Gene Expression And Behaviour, Morgan L. Kleiber

Electronic Thesis and Dissertation Repository

Alcohol is a neuroactive molecule that is able to exert variable and often detrimental effects on the developing brain, resulting in a broad range of physiological, behavioural, and cognitive phenotypes that characterize ‘fetal alcohol spectrum disorders’ (FASD). Factors affecting the manifestation of these phenotypes include alcohol dosage, timing of exposure, and pattern of maternal alcohol consumption; however, the biological processes that are vulnerable to ethanol at any given neurodevelopmental stage are unclear, as is how their disruption results in the emergence of specific pathological phenotypes later in life.

The research included in this thesis utilizes a C57BL/6J (B6) mouse model …

Genome-Wide Detection And Analysis Of Multifunctional Genes, Yuri Pritykin, Dario Ghersi, Mona Singh

Interdisciplinary Informatics Faculty Publications

Many genes can play a role in multiple biological processes or molecular functions. Identifying multifunctional genes at the genome-wide level and studying their properties can shed light upon the complexity of molecular events that underpin cellular functioning, thereby leading to a better understanding of the functional landscape of the cell. However, to date, genome-wide analysis of multifunctional genes (and the proteins they encode) has been limited. Here we introduce a computational approach that uses known functional annotations to extract genes playing a role in at least two distinct biological processes. We leverage functional genomics data sets for three organisms—H. sapiens, …

Developmental Mechanisms That Support Genome Stability And Embryonic Survival In Stress-Tolerant Embryos Of The Annual Killifish Austrofundulus Limnaeus, Josiah Tad Wagner

Dissertations and Theses

In order to complete their life cycles, vertebrates require oxygen and water. However, environments are not always forgiving when it comes to constantly providing these basic needs for vertebrate life. The annual killifish Austrofundulus limnaeus is possibly the most well described extremophile vertebrate and its embryos have been shown to tolerate extremes in oxygen, salinity, and water availability. This phenotype is likely a result of the annual killifish life history, which includes periods of temporary habitat desiccation and oxygen deprivation, and requires the production of stress-tolerant embryos that depress metabolism in a state of suspended animation, known as diapause. Over …

Allosteric Inhibition Of A Stem Cell Rna-Binding Protein By An Intermediary Metabolite, Carina Clingman, Laura Deveau, Samantha Hay, Ryan Genga, Shivender Shandilya, Francesca Massi, Sean Ryder

Sean P. Ryder

Gene expression and metabolism are coupled at numerous levels. Cells must sense and respond to nutrients in their environment, and specialized cells must synthesize metabolic products required for their function. Pluripotent stem cells have the ability to differentiate into a wide variety of specialized cells. How metabolic state contributes to stem cell differentiation is not understood. In this study, we show that RNA-binding by the stem cell translation regulator Musashi-1 (MSI1) is allosterically inhibited by 18-22 carbon omega-9 monounsaturated fatty acids. The fatty acid binds to the N-terminal RNA Recognition Motif (RRM) and induces a conformational change that prevents RNA …

A Gene-Based Association Method For Mapping Traits Using Reference Transcriptome Data, Eric R. Gamazon, Heather Wheeler, Kaanan P. Shah, Sahar V. Mozaffari, Keston Aquino-Michaels, Robert J. Carroll, Anne E. Eyler, Joshua C. Denny, Gtex Consortium, Dan L. Nicolae, Nancy J. Cox, Hae Kyung Im

Bioinformatics Faculty Publications

Genome-wide association studies (GWAS) have identified thousands of variants robustly associated with complex traits. However, the biological mechanisms underlying these associations are, in general, not well understood. We propose a gene-based association method called PrediXcan that directly tests the molecular mechanisms through which genetic variation affects phenotype. The approach estimates the component of gene expression determined by an individual’s genetic profile and correlates ‘imputed’ gene expression with the phenotype under investigation to identify genes involved in the etiology of the phenotype. Genetically regulated gene expression is estimated using whole-genome tissue-dependent prediction models trained with reference transcriptome data sets. PrediXcan enjoys …

A Search For Parent-Of-Origin Effects On Honey Bee Gene Expression, Sarah D. Kocher, Jennifer M. Tsuruda, Joshua D. Gibson, Christine M. Emore, Miguel E. Arechavaleta-Velasco, David C. Queller, Joan E. Strassmann, Christina M. Grozinger, Michael R. Gribskov, Phillip San Miguel, Rick Westerman, Greg J. Hunt

Biology Faculty Publications & Presentations

Parent-specific gene expression (PSGE) is little known outside of mammals and plants. PSGE occurs when the expression level of a gene depends on whether an allele was inherited from the mother or the father. Kin selection theory predicts that there should be extensive PSGE in social insects because social insect parents can gain inclusive fitness benefits by silencing parental alleles in female offspring. We searched for evidence of PSGE in honey bees using transcriptomes from reciprocal crosses between European and Africanized strains. We found 46 transcripts with significant parent-of-origin effects on gene expression, many of which overexpressed the maternal allele. …

Activity Of The Porcine Gonadotropin-Releasing Hormone Receptor Gene Promoter Is Partially Conferred By A Distal Gonadotrope Specific Element (Gse) Within An Upstream Enhancing Region, Two Proximal Gses And A Retinoid X Receptor Binding Site, Rebecca Cederberg, Jacqueline Smith, Emily A. Mcdonald, Chanho Lee, Amy R. Perkins, Brett R. White

Department of Animal Science: Faculty Publications

Background: Regulation of gonadotropin-releasing hormone (GnRH) receptor (GnRHR) numbers on gonadotropes within the anterior pituitary gland represents a critical point for control of reproductive function. Binding of GnRH to its receptor regulates follicle stimulating hormone (FSH) and luteinizing hormone (LH) release and levels of this G-protein coupled receptor on the surface of gonadotropes determines their sensitivity to GnRH pulses. While transcriptional regulation of this gene has been studied in mice, rats, humans and sheep, little is known about its regulation in the pig, an important agricultural species and human research model.

Methods: We isolated 5118 bp of 5′ flanking …

Annotation Tools For Multivariate Gene Set Testing Of Non-Model Organisms, Russell K. Banks

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Microarray chip technology enables researchers to obtain measures of gene activity for essentially all genes in an organism. After grouping genes into biologically meaningful sets, researchers employ certain statistical tests to identify which gene sets (biological processes) show different levels of activity across different treatment groups. The idea is to identify which biological processes are significantly affected by a certain treatment/condition in a given organism.

Non-model organisms (such as sheep) are not widely studied so gene set membership information is not always readily accessible. This thesis work utilizes two microarray studies involving sheep to provide researchers with working examples of …

Molecular Correlates Of Social Dominance: A Novel Role For Ependymin In Aggression, Lynne U. Sneddon, Rupert Schmidt, Yongxiang Fang, Andrew R. Cossins

Lynne Sneddon, PhD

Theoretical and empirical studies have sought to explain the formation and maintenance of social relationships within groups. The resulting dominance hierarchies have significant fitness and survival consequences dependent upon social status. We hypothesised that each position or rank within a group has a distinctive brain gene expression profile that correlates with behavioural phenotype. Furthermore, transitions in rank position should determine which genes shift in expression concurrent with the new dominance status. We used a custom cDNA microarray to profile brain transcript expression in a model species, the rainbow trout, which forms tractable linear hierarchies. Dominant, subdominant and submissive individuals had …

Coexpression Network Analysis Of Mirna-142 Overexpression In Neuronal Cells, Ishwor Thapa, Howard S. Fox, Dhundy Raj Bastola

Interdisciplinary Informatics Faculty Publications

MicroRNAs are small noncoding RNA molecules, which are differentially expressed in diverse biological processes and are also involved in the regulation of multiple genes. A number of sites in the 3′ untranslated regions (UTRs) of different mRNAs allow complimentary binding for a microRNA, leading to their posttranscriptional regulation. The miRNA-142 is one of the microRNAs overexpressed in neurons that is found to regulate SIRT1 and MAOA genes. Differential analysis of gene expression data, which is focused on identifying up- or downregulated genes, ignores many relationships between genes affected by miRNA-142 overexpression in a cell. Thus, we applied a correlation network …

On The Comparison Of State- And Transition-Based Analysis Of Biological Relevance In Gene Co-Expression Networks, Kathryn Dempsey Cooper, Prasuna Vemuri, Hesham Ali

Interdisciplinary Informatics Faculty Proceedings & Presentations

Traditional correlation network analysis typically involves creating a network using gene expression data and then identifying biologically relevant clusters from that network by enrichment with Gene Ontology or pathway information. When one wants to examine these networks in a dynamic way - such as between controls versus treatment or over time - a "snapshot" approach is taken by comparing network structures at each time point. The biological relevance of these structures are then reported and compared. In this research, we examine the same "snapshot" networks but focus on the enrichment of changes in structure to determine if these results give …

Investigating The Influence Of Chd1 On Gene Expression In Drosophila Melanogaster Using Position Effect Variegation, Phuongngan Thi Bui

Scripps Senior Theses

Position Effect Variegation (PEV) is the mosaic expression of a gene that has been moved out of its optimal environment and into a different area on the chromosome. Changing a gene’s environment may have profound effects on its eligibility for proper expression, which is a complicated process regulated by many factors. The PEV phenomenon is used as an assay to study gene expression as regulated by chromatin structure. In this study, the Drosophila melanogaster white gene was used as a reporter to study the various effects of CHD1, a chromatin regulating factor, on PEV gene expression. Inspired by preliminary data …

A Genetic Epidemiologic Investigation Of Breast Cancer Susceptibility, Cristy Ellen Stagnar

Legacy Theses & Dissertations (2009 - 2024)

Introduction

Gene Expression And Alzheimer's Disease: Evaluation Of Gene Expression Patterns In Brain And Blood For An Alzheimer's Disease Mouse Model, Amanda Hazy

Senior Honors Theses

Previous studies have established a causative role for altered gene expression in development of Alzheimer’s disease (AD). These changes can be affected by methylation and miRNA regulation. In this study, expression of miRNA known to change methylation status in AD was assessed by qPCR. Genome-wide expression changes were determined by RNA-sequencing of mRNA from hippocampus and blood of control and AD mice. The qPCR data showed significantly increased expression of Mir 17 in AD, and sequencing data revealed 230 genes in hippocampus, 58 genes in blood, and 8 overlapping genes showing significant differential expression (p value ≤ 0.05). Expression data …