Digital Commons Network^™

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 …

Assessing The Impact Of Storage Conditions On Rna From Human Saliva And Its Application To The Identification Of Mrna Biomarkers For Asthma, Poorna Manasa Bhamidimarri, David Fuentes, Laila Salameh, Bassam Mahboub, Rifat Hamoudi

Faculty, Staff and Student Publications

Introduction: Human saliva was used to develop non-invasive liquid biopsy biomarkers to establish saliva as an alternate to blood and plasma in translational research. The present study focused on understanding the impact of sample storage conditions on the extraction of RNA from saliva and the RNA yield, to be applied in clinical diagnosis. In this study, genes related to asthma were used to test the method developed.

Methods: Salivary RNA was extracted from three subjects using the Qiazol® based method and quantified by both spectrophotometric (NanoDrop) and fluorometric (Qubit®) methods. RNA integrity was measured using a bioanalyzer. Quantitative PCR was …

Characterizing The Expression Of The Sphingosine 1-Phosphate Pathway In Injury And Post-Traumatic Fibrosis, Nicole Cubbage

Masters Theses, 2020-current

Following injury, tissue repair allows for the restoration of the architecture and function of the injured tissue, while tissue replacement is characterized by severely damaged or non-regenerable tissue that is repaired by the laying down of extensive connective tissue, also known as fibrosis. The fibrotic process should be arrested at its early stage to have the greatest impact on preventing or reversing associate sequelae and promoting the regeneration of normal tissue. Sphingosine 1-phosphate (S1P), a metabolic product of cell membrane sphingolipids, has emerged as a pathway that may be involved in fibrosis. Most of S1P’s actions are mediated through the …

Multivariate Statistical Modeling For Radio-Genomics Study, Tiantian Zeng

Theses and Dissertations--Statistics

Radiogenomics is a new direction in cancer research that focuses on the associations among radiomics, genomics and clinical outcome. Currently, the major challenge for Radiogenomics lies in the effective integration of genomics and imaging data for promising clinical outcome prediction. Herein, we propose a multivariate joint model that can integrate imaging and genomic data for better predicting the clinical outcome. Specifically, we jointly consider two multivariate group lasso models, one regresses imaging features on genomic features, and the other regresses patient’s clinical outcome on genomic features. An L1 penalty term is introduced for each variable, and weight in the penalty …

Activity-Dependent Modulation Of Synapse-Regulating Genes In Astrocytes, Isabella Farhy-Tselnicker, Matthew M Boisvert, Hanqing Liu, Cari Dowling, Galina A Erikson, Elena Blanco-Suarez, Chen Farhy, Maxim N Shokhirev, Joseph R Ecker, Nicola J Allen

Department of Neurosurgery Faculty Papers

Astrocytes regulate the formation and function of neuronal synapses via multiple signals, however, what controls regional and temporal expression of these signals during development is unknown. We determined the expression profile of astrocyte synapse-regulating genes in the developing mouse visual cortex, identifying astrocyte signals that show differential temporal and layer-enriched expression. These patterns are not intrinsic to astrocytes, but regulated by visually-evoked neuronal activity, as they are absent in mice lacking glutamate release from thalamocortical terminals. Consequently, synapses remain immature. Expression of synapse-regulating genes and synaptic development are also altered when astrocyte signaling is blunted by diminishing calcium release from …

The Effects Of Spinal Cord Injury On Expression Of Pain-Relevant Genes In The Colon, Noelle Mckearney

Master's Theses

Spinal cord injury (SCI) results in varying degrees of paralysis, loss of normal sensory function and, oftentimes, chronic pain originating below the level of injury. Post-SCI pain tends to be resistant to traditional analgesic therapies and has been shown to impair recovery of function, making it a significant healthcare concern. Approximately one third of SCI patients report abdominal pain as a primary and severe symptom with marked similarity to other functional gastrointestinal pain disorders (e.g. irritable bowel). The etiology of this intense pain phenotype is unclear given that visceral organs are left uninjured in SCI. Here we examine changes in …

Gesture: An Online Hand-Drawing Tool For Gene Expression Pattern Search, Chunyan Wang, Yiqing Xu, Xuelin Wang, Li Zhang, Suyun Wei, Qiaolin Ye, Youxiang Zhu, Hengfu Yin, Manoj Nainwal, Luis Tanon-Reyes, Feng Cheng, Tongming Yin, Ning Ye

Molecular Biosciences Faculty Publications

Gene expression profiling data provide useful information for the investigation of biological function and process. However, identifying a specific expression pattern from extensive time series gene expression data is not an easy task. Clustering, a popular method, is often used to classify similar expression genes, however, genes with a ‘desirable’ or ‘user-defined’ pattern cannot be efficiently detected by clustering methods. To address these limitations, we developed an online tool called GEsture. Users can draw, or graph a curve using a mouse instead of inputting abstract parameters of clustering methods. GEsture explores genes showing similar, opposite and time-delay expression patterns with …

An Analysis Of Signaling Processes Leading To A Defense Response In Soybean, Brandon Trey Mcneece

Theses and Dissertations

Plant-parasitic nematodes are the cause of devastating yield loss in vital agricultural crops around the world. Heterodera glycines, also referred to as soybean cyst nematode, is the main pathogen of Glycine max (soybean) causing more loss than all other pathogens of G. max combined. The resultant economic impact due to H. glycines in United States soybean production alone is estimated to account for an annual one-billion-dollar loss. Natural resistant genotypes have been found in trials to combat this pathogen. Of the resistant varieties identified, G. max[Peking/PI 548402] and G. max[PI 88788] are the major sources of resistance. Identification of genes …

A Comparison Of Nucleosome Organization In Drosophila Cell Lines, Rebecca L. Martin, John Maiorano, Greg J. Beitel, John F. Marko, Graham Mcvicker, Yvonne N. Fondufe-Mittendorf

Molecular and Cellular Biochemistry Faculty Publications

Changes in the distribution of nucleosomes along the genome influence chromatin structure and impact gene expression by modulating the accessibility of DNA to transcriptional machinery. However, the role of genome-wide nucleosome positioning in gene expression and in maintaining differentiated cell states remains poorly understood. Drosophila melanogastercell lines represent distinct tissue types and exhibit cell-type specific gene expression profiles. They thus could provide a useful tool for investigating cell-type specific nucleosome organization of an organism’s genome. To evaluate this possibility, we compared genome-wide nucleosome positioning and occupancy in five different Drosophila tissue-specific cell lines, and in reconstituted chromatin, and then …

Global Gene Expression Profiling Of Healthy Human Brain And Its Application In Studying Neurological Disorders, Simarjeet K. Negi

Theses & Dissertations

The human brain is the most complex structure known to mankind and one of the greatest challenges in modern biology is to understand how it is built and organized. The power of the brain arises from its variety of cells and structures, and ultimately where and when different genes are switched on and off throughout the brain tissue. In other words, brain function depends on the precise regulation of gene expression in its sub-anatomical structures. But, our understanding of the complexity and dynamics of the transcriptome of the human brain is still incomplete. To fill in the need, we designed …

The Contribution Of Homeogenomic And Homeogenetic Studies In The Support Of The Practice Of Homoeopathy, Peter Kay, Anisur Khuda-Bukhsh

Indian Journal of Research in Homoeopathy

Almost two decades ago, it was postulated that homoeopathic remedies could deliver their benefits by interacting with the genetic blueprint. Over the years, the results of many homeogenomic gene expression studies have confirmed this postulate. The results of homeogenomic studies have begun to recognize which of the estimated 25,000 human genes are targeted by different homoeopathic remedies and how the expression profiles of these targeted genes are rearranged. From a mechanistic standpoint, seminal homeogenomic studies have shown that homoeopathic remedies can also facilitate epigenetic modifications such as DNA methylation. This is an important discovery because DNA methylation plays an important …

A Novel Method For Studying Gene Regulatory Elements In Vivo Reveals Essential Roles For Intron Splicing In Neurofilament Gene Expression, Chen Wang

Legacy Theses & Dissertations (2009 - 2024)

Axon outgrowth requires coordinated expression of critical cytoskeletal genes in response to extracellular cues. The spatial and temporal expression of these genes is regulated transcriptionally and posttranscriptionally. Such regulation is largely mediated through the activity of cis-regulatory elements within the cytoskeletal DNAs and RNAs, which recruit specific sets of trans-factors such as DNA- and RNA-binding proteins, as well as microRNAs. To identify the functionally active cis-elements, characterize their dynamically changing sets of trans-factors, and investigate the association between the two sets of regulators in the context of an intact developing nervous system, one needs to combine appropriate in vivo strategies …

Egonet: Identification Of Human Disease Ego-Network Modules, Rendong Yang, Yun Bai, Zhaohui Qin, Tianwei Yu

PCOM Scholarly Works

Background: Mining novel biomarkers from gene expression profiles for accurate disease classification is challenging due to small sample size and high noise in gene expression measurements. Several studies have proposed integrated analyses of microarray data and protein-protein interaction (PPI) networks to find diagnostic subnetwork markers. However, the neighborhood relationship among network member genes has not been fully considered by those methods, leaving many potential gene markers unidentified. The main idea of this study is to take full advantage of the biological observation that genes associated with the same or similar diseases commonly reside in the same neighborhood of molecular networks.Results: …

Molecular Profiling In Cervical Carcinogenesis And Progression, Kathryn Elizabeth Royse

All ETDs from UAB

Coexisting lesions can reduce genomic heterogeneity in precancer progression analysis by reducing variation and bias that can mask gene effects. Our goal was to use novel methodologies to depict the neoplastic stage effect (Normal v. LSIL v. HSIL) in cervical precancer. We analyzed the neoplastic stage effect via in silico and in vivo methodologies. For in silico analyses, we calculated differential expression (DE) estimates from a systematic review of DNA methylation and gene expression literature. Significant genes (FC≤2.0 or p-value≥0.05) were grouped by histology for pathway analysis. For in vivo analyses, we performed RNA-seq on microdissected FFPE coexisting cervical tissue …

Effects Of Gene Selection And Data Sampling On Prediction Of Breast Cancer Treatments, Brian Heredia

Electronic Theses and Dissertations 2010 - 2019

In recent years more and more researchers have begun to use data mining and machine learning tools to analyze gene microarray data. In this thesis we have collected a selection of datasets revolving around prediction of patient response in the specific area of breast cancer treatment. The datasets collected in this paper are all obtained from gene chips, which have become the industry standard in measurement of gene expression. In this thesis we will discuss the methods and procedures used in the studies to analyze the datasets and their effects on treatment prediction with a particular interest in the selection …

Subset Of Heat-Shock Transcription Factors Required For The Early Response Of Arabidopsis To Excess Light, Hou-Sung Jung, Peter A. Crisp, Gonzalo M. Estavillo, Benjamin Cole

Dartmouth Scholarship

Sunlight provides energy for photosynthesis and is essential for nearly all life on earth. However, too much or too little light or rapidly fluctuating light conditions cause stress to plants. Rapid changes in the amount of light are perceived as a change in the reduced/oxidized (redox) state of photosynthetic electron transport components in chloroplasts. However, how this generates a signal that is relayed to changes in nuclear gene expression is not well understood. We modified redox state in the reference plant, Arabidopsis thaliana, using either excess light or low light plus the herbicide DBMIB (2,5-dibromo-3-methyl-6-isopropyl-p-benzoquinone), a well-known inhibitor of photosynthetic …

Transcription Factor Binding Profiles Reveal Cyclic Expression Of Human Protein-Coding Genes And Non-Coding Rnas, Chao Cheng, Matthew Ung, Gavin D. Grant, Michael L. Whitfield

Dartmouth Scholarship

Cell cycle is a complex and highly supervised process that must proceed with regulatory precision to achieve successful cellular division. Despite the wide application, microarray time course experiments have several limitations in identifying cell cycle genes. We thus propose a computational model to predict human cell cycle genes based on transcription factor (TF) binding and regulatory motif information in their promoters. We utilize ENCODE ChIP-seq data and motif information as predictors to discriminate cell cycle against non-cell cycle genes. Our results show that both the trans- TF features and the cis- motif features are predictive of cell cycle genes, and …

Genomic Analysis Of Stress Response Against Arsenic In Caenorhabditis Elegans, Surasri N. Sahu, Jada Lewis, Isha Patel, Serdar Bozdag, Jeong H. Lee, Robert Sprando, Hediye Nese Cinar

Mathematics, Statistics and Computer Science Faculty Research and Publications

Arsenic, a known human carcinogen, is widely distributed around the world and found in particularly high concentrations in certain regions including Southwestern US, Eastern Europe, India, China, Taiwan and Mexico. Chronic arsenic poisoning affects millions of people worldwide and is associated with increased risk of many diseases including arthrosclerosis, diabetes and cancer. In this study, we explored genome level global responses to high and low levels of arsenic exposure in Caenorhabditis elegans using Affymetrix expression microarrays. This experimental design allows us to do microarray analysis of dose-response relationships of global gene expression patterns. High dose (0.03%) exposure caused stronger global …

Evaluation Of Gene Association Methods For Coexpression Network Construction And Biological Knowledge Discovery, Sapna Kumari, Jeff Nie, Huann-Sheng Chen, Hao Ma, Ron Stewart, Xiang Li, Meng-Zhu Lu, William M. Taylor, Hairong Wei

Faculty & Staff Scholarship

Background

Constructing coexpression networks and performing network analysis using large-scale gene expression data sets is an effective way to uncover new biological knowledge; however, the methods used for gene association in constructing these coexpression networks have not been thoroughly evaluated. Since different methods lead to structurally different coexpression networks and provide different information, selecting the optimal gene association method is critical.

Methods and Results

In this study, we compared eight gene association methods – Spearman rank correlation, Weighted Rank Correlation, Kendall, Hoeffding's D measure, Theil-Sen, Rank Theil-Sen, Distance Covariance, and Pearson – and focused on their true knowledge discovery rates …

Accurate Estimation Of Isoform And Gene Expression Levels From Next Generation Sequencing Data, Marius Nicolae

Master's Theses

Massively parallel transcriptome sequencing is quickly replacing microarrays as the technology of choice for performing gene expression profiling due to its wider dynamic range and digital quantitation capabilities. However, accurate estimation of expression levels from sequencing data remains challenging due to the short read length delivered by current sequencing technologies and still poorly understood protocol- and technology-specific biases.

To date, two main transcriptome sequencing protocols have been proposed in the literature. The most commonly used one, referred to as RNA-Seq, generates short (single or paired) sequencing tags from the ends of randomly generated cDNA fragments. An alternative protocol, referred to …

Analysis Of Common And Specific Mechanisms Of Liver Function Affected By Nitrotoluene Compounds, Youping Deng, Sharon A. Meyer, Xin Guan, Barbara Lynn Escalon, Junmei Ai, Mitchell S. Wilbanks, Ruth Welti, Natàlia Garcia-Reyero, Edward J. Perkins

Faculty Publications

Background: Nitrotoluenes are widely used chemical manufacturing and munitions applications. This group of chemicals has been shown to cause a range of effects from anemia and hypercholesterolemia to testicular atrophy. We have examined the molecular and functional effects of five different, but structurally related, nitrotoluenes on using an integrative systems biology approach to gain insight into common and disparate mechanisms underlying effects caused by these chemicals.

Methodology/Principal Findings: Sprague-Dawley female rats were exposed via gavage to one of five concentrations of one of five nitrotoluenes [2,4,6-trinitrotoluene (TNT), 2-amino-4,6-dinitrotoluene (2ADNT) 4-amino-2,6-dinitrotoulene (4ADNT), 2,4-dinitrotoluene (2,4DNT) and 2,6-dinitrotoluene (2,6DNT)] with necropsy …

Caged Morpholino Oligonucleotide For Control Of Gene Expression In Zebrafish, Chad Michael Jarreau

LSU Master's Theses

To control gene expression in vivo with spatial and temporal precision remains a significant hurdle in laboratory studies of development as well as clinical genetic therapies. Here we demonstrate such control over gene expression by use of photochemistry to reversibly inactivate the hybridization of a nucleic acid analog used for specific protein knockdown. A morpholino oligonucleotide, commonly used for knockdown of protein expression in developmental studies, was “caged” using carbodiimide conjugate chemistry which yielded photocleavable adducts that can be removed with light exposure. Photochemical inactivation approaches to produce caged molecules have been used to control the spatiotemporal activity of biomolecules …