Computational Analysis Of Gene Expression And Connectivity Patterns In The Convoluted Structures Of Mouse Cerebellum,
2014
Old Dominion University
Computational Analysis Of Gene Expression And Connectivity Patterns In The Convoluted Structures Of Mouse Cerebellum, Tao Zeng
Computer Science Theses & Dissertations
One significant difference between evolved mammalian brains and other species is that mammalian brains exhibit increasingly convoluted structures in the cerebral cortex. Groove and ridge shaped structures named gyri and sulci expand surface area of cerebral cortex, making more functions possible. Prior studies using neuroimaging techniques such as dMRI and DTI have revealed that neural fibers are heavily connected to gyri comparing to those connected to sulci, such macro-scale experiments indicates that gyri are involved in large scale information processing while sulci process information locally. However, molecular and cellar level evidences, namely, gene expression pattern and its resulting neuronal connectivity …
Structural Features Of The Pseudomonas Fluorescens Biofilm Adhesin Lapa Required For Lapg-Dependent Cleavage, Biofilm Formation, And Cell Surface Localization,
2014
Dartmouth College
Structural Features Of The Pseudomonas Fluorescens Biofilm Adhesin Lapa Required For Lapg-Dependent Cleavage, Biofilm Formation, And Cell Surface Localization, Chelsea D. Boyd, T. Jarrod Smith, Sofiane El-Kirat-Chatel, Peter D. Newell, Yves F. Dufrêne, George A. O'Toole
Dartmouth Scholarship
The localization of the LapA protein to the cell surface is a key step required by Pseudomonas fluorescens Pf0-1 to irreversibly attach to a surface and form a biofilm. LapA is a member of a diverse family of predicted bacterial adhesins, and although lacking a high degree of sequence similarity, family members do share common predicted domains. Here, using mutational analysis, we determine the significance of each domain feature of LapA in relation to its export and localization to the cell surface and function in biofilm formation. Our previous work showed that the N terminus of LapA is required for …
Transcriptome Analysis Of Sea Lamprey Embryogenesis,
2014
Seton Hall University
Transcriptome Analysis Of Sea Lamprey Embryogenesis, Zakary Ilya Yermolenko
Seton Hall University Dissertations and Theses (ETDs)
The sea lamprey (Petromyzon marinus) has survived throughout evolution for hundreds of millions of years. It is considered an invasive species to the Great Lakes that has caused dramatic changes in the ecosystem for fish communities resulting in the collapse of a fishing industry that was previously valued at billions of dollars. Successful management of the sea lamprey is essential to a sustainable fishing industry and biodiversity. Therefore sea lamprey embryos were studied at various stages of development by growing them in a simulated habitat. RNAs from adult female ovaries and embryos at different time points during embryogenesis …
The Association Between The Il-1 Pathway,
2014
The University of Texas Graduate School of Biomedical Sciences at Houston
The Association Between The Il-1 Pathway, Isaac C. Wun
Dissertations and Theses (Open Access)
Cutaneous malignant melanoma (CMM) is a potentially lethal malignancy that warrants attention and further research, as it is known to that there is an increasing rate of incidence in theUnited States, and it is also known that exposure to UV light is its most crucial risk factor, and family history of melanoma is also an important risk factor. Melanoma is an aggressive and lethal cancer in humans. There are an estimated new 132,000 melanoma cases annually worldwide, and the trend has doubled in the past 20 years. However, attempts to treat melanoma have encountered considerable resistance and remained ineffective. The …
P53 Maintains Hepatic Cell Identity During Liver Regeneration,
2014
The University of Texas Graduate School of Biomedical Sciences at Houston
P53 Maintains Hepatic Cell Identity During Liver Regeneration, Zeynep Hande Coban Akdemir
Dissertations and Theses (Open Access)
p53 MAINTAINS HEPATIC CELL IDENTITY DURING LIVER REGENERATION
Zeynep Hande Coban Akdemir, B.S.,M.A.
Advisory Professor: Michelle Craig Barton, Ph.D.
p53 is a tumor suppressor that has been well studied in tumor-derived, cultured cells. However, its functions in normal proliferating cells and tissues are generally overlooked. We propose that p53 functions during the G1-S transition can be studied in normal, differentiated cells during surgery-induced liver regeneration. Two-thirds partial hepatectomy (PH) of mouse liver offers a unique model to compare p53 functions in regenerating versus sham (control) cells. My hypothesis is that intersection of global expression analyses (microarray and RNA sequencing) and …
Integrated Assessment Of Predicted Mhc Binding And Cross-Conservation With Self Reveals Patterns Of Viral Camouflage,
2014
Dartmouth College
Integrated Assessment Of Predicted Mhc Binding And Cross-Conservation With Self Reveals Patterns Of Viral Camouflage, Lu He, Anne S. De Groot, Andres H. Gutierrez, William D. Martin, Lenny Moise, Chris Bailey-Kellogg
Dartmouth Scholarship
Immune recognition of foreign proteins by T cells hinges on the formation of a ternary complex sandwiching a constituent peptide of the protein between a major histocompatibility complex (MHC) molecule and a T cell receptor (TCR). Viruses have evolved means of "camouflaging" themselves, avoiding immune recognition by reducing the MHC and/or TCR binding of their constituent peptides. Computer-driven T cell epitope mapping tools have been used to evaluate the degree to which articular viruses have used this means of avoiding immune response, but most such analyses focus on MHC-facing ‘agretopes'. Here we set out a new means of evaluating the …
Computational Model For Survey And Trend Analysis Of Patients With Endometriosis : A Decision Aid Tool For Ebm,
2014
Institute of Microbiology School of Medicine University of Genoa, Italy
Computational Model For Survey And Trend Analysis Of Patients With Endometriosis : A Decision Aid Tool For Ebm, Salvo Reina, Vito Reina, Franco Ameglio, Mauro Costa, Alessandro Fasciani
COBRA Preprint Series
Endometriosis is increasingly collecting worldwide attention due to its medical complexity and social impact. The European community has identified this as a “social disease”. A large amount of information comes from scientists, yet several aspects of this pathology and staging criteria need to be clearly defined on a suitable number of individuals. In fact, available studies on endometriosis are not easily comparable due to a lack of standardized criteria to collect patients’ informations and scarce definitions of symptoms. Currently, only retrospective surgical stadiation is used to measure pathology intensity, while the Evidence Based Medicine (EBM) requires shareable methods and correct …
Pathoscope 2.0: A Complete Computational Framework For Strain Identification In Environmental Or Clinical Sequencing Samples.,
2014
George Washington University
Pathoscope 2.0: A Complete Computational Framework For Strain Identification In Environmental Or Clinical Sequencing Samples., Changjin Hong, Solaiappan Manimaran, Ying Shen, Joseph F Perez-Rogers, Allyson L Byrd, Eduardo Castro-Nallar, Keith A Crandall, William Evan Johnson
Computational Biology Institute
BACKGROUND: Recent innovations in sequencing technologies have provided researchers with the ability to rapidly characterize the microbial content of an environmental or clinical sample with unprecedented resolution. These approaches are producing a wealth of information that is providing novel insights into the microbial ecology of the environment and human health. However, these sequencing-based approaches produce large and complex datasets that require efficient and sensitive computational analysis workflows. Many recent tools for analyzing metagenomic-sequencing data have emerged, however, these approaches often suffer from issues of specificity, efficiency, and typically do not include a complete metagenomic analysis framework.
RESULTS: We present PathoScope …
Characteristics And Prediction Of Rna Structure.,
2014
George Washington University
Characteristics And Prediction Of Rna Structure., Hengwu Li, Daming Zhu, Caiming Zhang, Huijian Han, Keith A Crandall
Computational Biology Institute
RNA secondary structures with pseudoknots are often predicted by minimizing free energy, which is NP-hard. Most RNAs fold during transcription from DNA into RNA through a hierarchical pathway wherein secondary structures form prior to tertiary structures. Real RNA secondary structures often have local instead of global optimization because of kinetic reasons. The performance of RNA structure prediction may be improved by considering dynamic and hierarchical folding mechanisms. This study is a novel report on RNA folding that accords with the golden mean characteristic based on the statistical analysis of the real RNA secondary structures of all 480 sequences from RNA …
Ether Bridge Formation And Chemical Diversification In Loline Alkaloid Biosynthesis,
2014
University of Kentucky
Ether Bridge Formation And Chemical Diversification In Loline Alkaloid Biosynthesis, Juan Pan
Theses and Dissertations--Plant Pathology
Loline alkaloids, found in many grass-Epichloë symbiota, are toxic or feeding deterrent to invertebrates. The loline alkaloids all share a saturated pyrrolizidine ring with a 1-amine group and an ether bridge linking C2 and C7. The steps in biosynthesis of loline alkaloids are catalyzed by enzymes encoded by a gene cluster, designated LOL, in the Epichloë genome. This dissertation addresses the enzymatic, genetic and evolutionary basis for diversification of these alkaloids, focusing on ether bridge formation and the subsequent modifications of the 1-amine to form different loline alkaloids.
Through gene complementation of a natural lolO mutant and comparison …
Semantics In Support Of Biodiversity Knowledge Discovery: An Introduction To The Biological Collections Ontology And Related Ontologies,
2014
University of Arizona
Semantics In Support Of Biodiversity Knowledge Discovery: An Introduction To The Biological Collections Ontology And Related Ontologies, Ramona L. Walls, John Deck, Robert Guralnick, Steve Baskauf, Reed Beaman, Stanley Blum, Shaun Bowers
Computer Science Faculty Scholarship
The study of biodiversity spans many disciplines and includes data pertaining to species distributions and abundances, genetic sequences, trait measurements, and ecological niches, complemented by information on collection and measurement protocols. A review of the current landscape of metadata standards and ontologies in biodiversity science suggests that existing standards such as the Darwin Core terminology are inadequate for describing biodiversity data in a semantically meaningful and computationally useful way. Existing ontologies, such as the Gene Ontology and others in the Open Biological and Biomedical Ontologies (OBO) Foundry library, provide a semantic structure but lack many of the necessary terms to …
Small Rna Expression During Programmed Rearragement Of A Vertebrate Genome,
2014
University of Kentucky
Small Rna Expression During Programmed Rearragement Of A Vertebrate Genome, Joseph R. Herdy Iii
Theses and Dissertations--Biology
The sea lamprey (Petromyzon marinus) undergoes programmed genome rearrangements (PGRs) during embryogenesis that results in the deletion of ~0.5 Gb of germline DNA from the somatic lineage. The underlying mechanism of these rearrangements remains largely unknown. miRNAs (microRNAs) and piRNAs (PIWI interacting RNAs) are two classes of small noncoding RNAs that play important roles in early vertebrate development, including differentiation of cell lineages, modulation of signaling pathways, and clearing of maternal transcripts. Here, I utilized next generation sequencing to determine the temporal expression of miRNAs, piRNAs, and other small noncoding RNAs during the first five days of lamprey …
A Systems Biology Approach To Detect Eqtls Associated With Mirna And Mrna Co-Expression Networks In The Nucleus Accumbens Of Chronic Alcoholic Patients,
2014
Virginia Commonwealth University
A Systems Biology Approach To Detect Eqtls Associated With Mirna And Mrna Co-Expression Networks In The Nucleus Accumbens Of Chronic Alcoholic Patients, Mohammed Mamdani
Theses and Dissertations
Alcohol Dependence (AD) is a chronic substance use disorder with moderate heritability (60%). Linkage and genome-wide association studies (GWAS) have implicated a number of loci; however, the molecular mechanisms underlying AD are unclear. Advances in systems biology allow genome-wide expression data to be integrated with genetic data to detect expression quantitative trait loci (eQTL), polymorphisms that regulate gene expression levels, influence phenotypes and are significantly enriched among validated genetic signals for many commonly studied traits including AD.
We integrated genome-wide mRNA and miRNA expression data with genotypic data from the nucleus accumbens (NAc), a major addiction-related brain region, of 36 …
Epistasis In Predator-Prey Relationships,
2014
Georgia Southern University
Epistasis In Predator-Prey Relationships, Iuliia Inozemtseva
College of Graduate Studies: Theses & Dissertations
Epistasis is the interaction between two or more genes to control a single phenotype. We model epistasis of the prey in a two-locus two-allele problem in a basic predator- prey relationship. The resulting model allows us to examine both population sizes as well as genotypic and phenotypic frequencies. In the context of several numerical examples, we show that if epistasis results in an undesirable or desirable phenotype in the prey by making the particular genotype more or less susceptible to the predator or dangerous to the predator, elimination of undesirable phenotypes and then genotypes occurs.
Identifying Potential Cancer Driver Genes By Genomic Data Integration.,
2013
Rowan University
Identifying Potential Cancer Driver Genes By Genomic Data Integration., Yong Chen, Jingjing Hao, Wei Jiang, Tong He, Xuegong Zhang, Tao Jiang, Rui Jiang
College of Science & Mathematics Departmental Research
Cancer is a genomic disease associated with a plethora of gene mutations resulting in a loss of control over vital cellular functions. Among these mutated genes, driver genes are defined as being causally linked to oncogenesis, while passenger genes are thought to be irrelevant for cancer development. With increasing numbers of large-scale genomic datasets available, integrating these genomic data to identify driver genes from aberration regions of cancer genomes becomes an important goal of cancer genome analysis and investigations into mechanisms responsible for cancer development. A computational method, MAXDRIVER, is proposed here to identify potential driver genes on the basis …
On The Origin Of Phenotypic Variation: Novel Technologies To Dissect Molecular Determinants Of Phenotype,
2013
Washington University in St. Louis
On The Origin Of Phenotypic Variation: Novel Technologies To Dissect Molecular Determinants Of Phenotype, Francesco Vallania
All Theses and Dissertations (ETDs)
This thesis describes the conception, design, and development of novel computational tools, theoretical models, and experimental techniques applied to the dissection of molecular factors underlying phenotypic variation. The first part of my work is focused on finding rare genetic variants in pooled DNA samples, leading to the development of a novel set of algorithms, SNPseeker and SPLINTER, applied to next-generation sequencing data. The second part of my work describes the creation of a reporter system for DNA methylation for the purpose of dissecting the genetic contribution of tissue-specific patterns of DNA methylation across the genome. Finally the last part of …
Introducing A Novel Method For Genetic Analysis Of Autism Spectrum Disorder,
2013
The University of Texas Graduate School of Biomedical Sciences at Houston
Introducing A Novel Method For Genetic Analysis Of Autism Spectrum Disorder, Sepideh Nouri
Dissertations and Theses (Open Access)
Autism is a spectrum of neurological disorders that is characterized by repetitive and stereotyped behaviors, lack of social skills in verbal and non-verbal communications, and intellectual disability. Recent statistics shows that 1 out of every 88 children in the US is affected by autism.
In this thesis, I first review previous studies on genetic association analyses of autism spectrum disorder. A large number of these studies fall into two categories: Genome Wide Association Studies (GWAS) and sequencing studies. Although GWAS are able to identify multiple common risk variants associated with different diseases, these common variants explain only a small portion …
Homeotic Gene Teashirt (Tsh) Has A Neuroprotective Function In Amyloid-Beta 42 Mediated Neurodegeneration,
2013
University of Dayton
Homeotic Gene Teashirt (Tsh) Has A Neuroprotective Function In Amyloid-Beta 42 Mediated Neurodegeneration, Michael T. Moran, Meghana Tare, Madhuri Kango-Singh, Amit Singh
Biology Faculty Publications
Background: Alzheimer's disease (AD) is a debilitating age related progressive neurodegenerative disorder characterized by the loss of cognition, and eventual death of the affected individual. One of the major causes of AD is the accumulation of Amyloid-beta 42 (Aβ42) polypeptides formed by the improper cleavage of amyloid precursor protein (APP) in the brain. These plaques disrupt normal cellular processes through oxidative stress and aberrant signaling resulting in the loss of synaptic activity and death of the neurons. However, the detailed genetic mechanism(s) responsible for this neurodegeneration still remain elusive.
Methodology/Principal Findings: We have generated a transgenic Drosophila eye model where …
Pathoscope: Species Identification And Strain Attribution With Unassembled Sequencing Data.,
2013
George Washington University
Pathoscope: Species Identification And Strain Attribution With Unassembled Sequencing Data., Owen E Francis, Matthew Bendall, Solaiappan Manimaran, Changjin Hong, Nathan L Clement, Eduardo Castro-Nallar, Quinn Snell, G Bruce Schaalje, Mark J Clement, Keith A Crandall, W Evan Johnson
Computational Biology Institute
Emerging next-generation sequencing technologies have revolutionized the collection of genomic data for applications in bioforensics, biosurveillance, and for use in clinical settings. However, to make the most of these new data, new methodology needs to be developed that can accommodate large volumes of genetic data in a computationally efficient manner. We present a statistical framework to analyze raw next-generation sequence reads from purified or mixed environmental or targeted infected tissue samples for rapid species identification and strain attribution against a robust database of known biological agents. Our method, Pathoscope, capitalizes on a Bayesian statistical framework that accommodates information on sequence …
Detecting Modules In Multiplex Networks – An Application For Integrating Expression Profiles Across Multiple Species,
2013
Yale University
Detecting Modules In Multiplex Networks – An Application For Integrating Expression Profiles Across Multiple Species, Koon-Kiu Yan, Daifeng Wang, Joel Rozowsky, Henry Zheng, Baikang Pei, Mark Gerstein
Yale Day of Data
Multiplex network, a set of networks linked through interconnected layers, is a useful mathematical framework for data integration. Here, we present a general method to detect modules in multiplex networks and apply it in a specific biological context: to simultaneously cluster the genome-wide expression profiles of C. elegans and D. melanogaster generated by the ENOCDE and modENCODE consortia. The method revealed modules that are fundamentally cross-species and can either be conserved or species-specific. In general, the method could be applied in various contexts like the integration of different social networks.
