Sars-Cov-2 (Covid-19) Structural And Evolutionary Dynamicome Insights Into Functional Evolution And Human Genomics,
2020
Michigan State University
Sars-Cov-2 (Covid-19) Structural And Evolutionary Dynamicome Insights Into Functional Evolution And Human Genomics, Ruchir Gupta, Jacob Charron, Cynthia L. Stenger, Jared Painter
University Faculty Publications and Creative Works
The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has challenged the speed at which laboratories can discover the viral composition and study health outcomes. The small ~30-kb ssRNA genome of coronaviruses makes them adept at cross-species spread while enabling a robust understanding of all of the proteins the viral genome encodes. We have employed protein modeling, molecular dynamics simulations, evolutionary mapping, and 3D printing to gain a full proteome- and dynamicome-level understanding of SARS-CoV-2. We established the Viral Integrated Structural Evolution Dynamic Database (VIStEDD at RRID:SCR_018793) to facilitate future discoveries and educational use. Here, we highlight the …
Structure And Evolution Of Lizard Immunity Genes,
2020
University of New Orleans, New Orleans
Structure And Evolution Of Lizard Immunity Genes, Trent Santonastaso
LSU New Orleans Theses and Dissertations
One of the most important gene families to play a role in adaptive immunity is the major histocompatibility complex (MHC). MHC class II loci are considered to be the most variable loci in the vertebrate genome, and studies have shown that this variability can be maintained through complex co-evolutionary dynamics between host and parasite. Despite the rich body of research into the MHC, there is comparatively little understanding of its genomic architecture in reptiles. Similarly, loci associated with innate immunity have received little attention in reptiles compared to other vertebrates. In the first chapter, we investigated the structure and organization …
Linking Crude Oil And Dispersant Effects To Gene Expression Of Marine Sponge Cinachyrella,
2020
Nova Southeastern University
Linking Crude Oil And Dispersant Effects To Gene Expression Of Marine Sponge Cinachyrella, Yvain Desplat
All HCAS Student Capstones, Theses, and Dissertations
Because of their filter-feeding lifestyle, sponges (Phylum Porifera) have shown to be bio-accumulators of heavy metals, and bio-monitors for polychlorobiphenyl (PCB) contaminants. Furthermore, marine sponges have been shown to be regulators of reef ecosystems by fulfilling many ecological functions. However, very little is known about their behavior in the face of environmental changes. Consequently, our lab has developed the reef sponge Cinachyrella spp. as novel experimental model. We have designed an experiment to study the effects of WAF (Water Accommodated Fraction), Corexit 9500 dispersant, and CE-WAF (Chemically Enhanced Water Accommodated Fraction)mixtures, in an effort to mimic the conditions of the …
Identification Of Trim24 Domain Essentiality In Primary Trim24coe Carcinosarcoma Cell Lines,
2020
The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences
Identification Of Trim24 Domain Essentiality In Primary Trim24coe Carcinosarcoma Cell Lines, Cem Dede
Dissertations and Theses (Open Access)
Regulation of transcriptional control is a critical feature for organismal development and survival. Because of its effects on chromatin-controlled expression, disruptions of this delicately tuned mechanism are an important factor in development of tumorigenesis. Therefore, there is a growing interest in targeting these control mechanisms for their potential therapeutic values.
Our lab previously discovered the epigenetic regulator function of Tripartite motif protein 24 (TRIM24) through its H3K4me0 and H3K23ac dual histone signature reader function, its negative regulatory effect on the p53 tumor suppressor, in addition to its shown oncogenic driving capacity on immortalized mammary epithelial cells when overexpressed. Although TRIM24 …
Artificial Intron Technology To Generate Conditional Knock-Out Mice,
2020
The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences
Artificial Intron Technology To Generate Conditional Knock-Out Mice, Amber N. Thomas-Gordon
Dissertations and Theses (Open Access)
Genetic engineering has been re-shaped by the invention of new tools in modern biotechnology in a way that offers precision and efficiency in modifying the genome at a single nucleotide level and/or allowing precise control of gene expression. Such gene manipulation brings about significant findings and revelations in comprehending more about embryonic development, cellular and physiological functions, and disease pathology. Current methods used to produce conditional knockouts have limitations on conditional allele placement and modification varies among genes in different organisms. Thus, a system for generating conditional alleles with fidelity remains a challenge. My goal was to examine an approach …
Statistical Methods For Resolving Intratumor Heterogeneity With Single-Cell Dna Sequencing,
2020
The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences
Statistical Methods For Resolving Intratumor Heterogeneity With Single-Cell Dna Sequencing, Alexander Davis
Dissertations and Theses (Open Access)
Tumor cells have heterogeneous genotypes, which drives progression and treatment resistance. Such genetic intratumor heterogeneity plays a role in the process of clonal evolution that underlies tumor progression and treatment resistance. Single-cell DNA sequencing is a promising experimental method for studying intratumor heterogeneity, but brings unique statistical challenges in interpreting the resulting data. Researchers lack methods to determine whether sufficiently many cells have been sampled from a tumor. In addition, there are no proven computational methods for determining the ploidy of a cell, a necessary step in the determination of copy number. In this work, software for calculating probabilities from …
Comparative Secretomics And Functional Analysis Of Effectors Utilized By The Microbotryum Genus Of Anther-Smut Fungal Pathogens, And Their Role In Host-Specificity.,
2020
University of Louisville
Comparative Secretomics And Functional Analysis Of Effectors Utilized By The Microbotryum Genus Of Anther-Smut Fungal Pathogens, And Their Role In Host-Specificity., William Christopher Beckerson
Electronic Theses and Dissertations
Understanding how pathogens evolve in response to changes in their host is paramount to combating the spread of emergent strains of disease. This is particularly true for plant pathogens that cause billions of dollars of damages to crops globally, every year. Understanding the molecular interactions between pathogens and their hosts therefore sheds light on the coevolutionary arms race that can result in host-specificity and host-shifts in plant pathogens. This research approaches the question of how fungal pathogens interact with their plant hosts utilizing both unique and shared arsenals of secreted proteins (SPs) during infection, and addresses the question of whether …
Model-Based Analysis Of Chromatin Interactions From Dcas9-Based Capture-3c-Seq.,
2020
Rowan University
Model-Based Analysis Of Chromatin Interactions From Dcas9-Based Capture-3c-Seq., Yong Chen, Yunfei Wang, Xin Liu, Jian Xu, Michael Q Zhang
College of Science & Mathematics Departmental Research
Deciphering long-range chromatin interactions is critical for understanding temporal and tissue-specific gene expression regulated by cis- and trans-acting factors. By combining the chromosome conformation capture (3C) and biotinylated dCas9 system, we previously established a method CAPTURE-3C-seq to unbiasedly identify high-resolution and locus-specific long-range DNA interactions. Here we present the statistical model and a flexible pipeline, C3S, for analysing CAPTURE-3C-seq or similar experimental data from raw sequencing reads to significantly interacting chromatin loci. C3S provides all steps for data processing, quality control and result illustration. It can automatically define the bin size based on the binding peak of the dCas9-targeted regions. …
Machine Learning Approaches For Fracture Risk Assessment: A Comparative Analysis Of Genomic And Phenotypic Data In 5130 Older Men,
2020
University of Nevada, Las Vegas
Machine Learning Approaches For Fracture Risk Assessment: A Comparative Analysis Of Genomic And Phenotypic Data In 5130 Older Men, Qing Wu, Fatma Nasoz, Jongyun Jung, Bibek Bhattarai, Mira V. Han
School of Public Health Faculty Research
The study aims were to develop fracture prediction models by using machine learning approaches and genomic data, as well as to identify the best modeling approach for fracture prediction. The genomic data of Osteoporotic Fractures in Men, cohort Study (n = 5130), were analyzed. After a comprehensive genotype imputation, genetic risk score (GRS) was calculated from 1103 associated Single Nucleotide Polymorphisms for each participant. Data were normalized and split into a training set (80%) and a validation set (20%) for analysis. Random forest, gradient boosting, neural network, and logistic regression were used to develop prediction models for major osteoporotic fractures …
Wild Mice With Different Social Network Sizes Vary In Brain Gene Expression,
2020
Chapman University
Wild Mice With Different Social Network Sizes Vary In Brain Gene Expression, Patricia C. Lopes, Barbara König
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Background
Appropriate social interactions influence animal fitness by impacting several processes, such as mating, territory defense, and offspring care. Many studies shedding light on the neurobiological underpinnings of social behavior have focused on nonapeptides (vasopressin, oxytocin, and homologues) and on sexual or parent-offspring interactions. Furthermore, animals have been studied under artificial laboratory conditions, where the consequences of behavioral responses may not be as critical as when expressed under natural environments, therefore obscuring certain physiological responses. We used automated recording of social interactions of wild house mice outside of the breeding season to detect individuals at both tails of a distribution …
Meta-Analysis Of The Alzheimer's Disease Human Brain Transcriptome And Functional Dissection In Mouse Models.,
2020
Institute for Systems Biology, Seattle, WA 98109, USA
Meta-Analysis Of The Alzheimer's Disease Human Brain Transcriptome And Functional Dissection In Mouse Models., Ying-Wooi Wan, Rami Al-Ouran, Carl G Mangleburg, Thanneer M Perumal, Tom V Lee, Katherine Allison, Vivek Swarup, Cory C Funk, Chris Gaiteri, Mariet Allen, Minghui Wang, Sarah M Neuner, Catherine C Kaczorowski, Vivek M Philip, Gareth R Howell, Heidi Martini-Stoica, Hui Zheng, Hongkang Mei, Xiaoyan Zhong, Jungwoo Wren Kim, Valina L Dawson, Ted M Dawson, Ping-Chieh Pao, Li-Huei Tsai, Jean-Vianney Haure-Mirande, Michelle E Ehrlich, Paramita Chakrabarty, Yona Levites, Xue Wang, Eric B Dammer, Gyan Srivastava, Sumit Mukherjee, Solveig K Sieberts, Larsson Omberg, Kristen D Dang, James A Eddy, Phil Snyder, Yooree Chae, Sandeep Amberkar, Wenbin Wei, Winston Hide, Christoph Preuss, Ayla Ergun, Phillip J Ebert, David C Airey, Sara Mostafavi, Lei Yu, Hans-Ulrich Klein, Accelerating Medicines Partnership, Alzheimer’S Disease Consortium, Gregory W Carter, David A Collier, Todd E Golde, Allan I Levey, David A Bennett, Karol Estrada, T Matthew Townsend, Bin Zhang, Eric Schadt, Philip L De Jager, Nathan D Price, Nilüfer Ertekin-Taner, Zhandong Liu, Joshua M Shulman, Lara M Mangravite, Benjamin A Logsdon
Articles, Abstracts, and Reports
We present a consensus atlas of the human brain transcriptome in Alzheimer's disease (AD), based on meta-analysis of differential gene expression in 2,114 postmortem samples. We discover 30 brain coexpression modules from seven regions as the major source of AD transcriptional perturbations. We next examine overlap with 251 brain differentially expressed gene sets from mouse models of AD and other neurodegenerative disorders. Human-mouse overlaps highlight responses to amyloid versus tau pathology and reveal age- and sex-dependent expression signatures for disease progression. Human coexpression modules enriched for neuronal and/or microglial genes broadly overlap with mouse models of AD, Huntington's disease, amyotrophic …
Genomic Diversity Of Bacteriophages Infecting Microbacterium Spp,
2020
University of Pittsburgh
Genomic Diversity Of Bacteriophages Infecting Microbacterium Spp, Deborah Jacobs-Sera, Lawrence A. Abad, Richard M. Alvey, Kirk R. Anders, Haley G. Aull, Suparna S. Bhalla, Lawrence S. Blumer, David W. Bollivar, J. Alfred Bonilla, Kristen A. Butela, Roy J. Coomans, Steven G. Cresawn, Tom D'Elia, Arturo Diaz, Ashley M. Divens, Nicholas P. Edgington, Gregory D. Frederick, Maria D. Gainey, Rebecca A. Garlena, Kenneth W. Grant, Susan M.R. Gurney, Heather L. Hendrickson, Lee E. Hughes, Margaret A. Kenna, Karen K. Klyczek, Hari Kotturi, Travis Mavrich, Angela L. Mckinney, Evan C. Merkhofer, Jordan Moberg Parker, Sally D. Molloy
Life Sciences Faculty Research
The bacteriophage population is vast, dynamic, old, and genetically diverse. The genomics of phages that infect bacterial hosts in the phylum Actinobacteria show them to not only be diverse but also pervasively mosaic, and replete with genes of unknown function. To further explore this broad group of bacteriophages, we describe here the isolation and genomic characterization of 116 phages that infect Microbacterium spp. Most of the phages are lytic, and can be grouped into twelve clusters according to their overall relatedness; seven of the phages are singletons with no close relatives. Genome sizes vary from 17.3 kbp to 97.7 kbp, …
Cartography Of Opportunistic Pathogens And Antibiotic Resistance Genes In A Tertiary Hospital Environment,
2020
Genome Institute of Singapore
Cartography Of Opportunistic Pathogens And Antibiotic Resistance Genes In A Tertiary Hospital Environment, Kern Rei Chng, Chenhao Li, Denis Bertrand, Amanda Hui Qi Ni, Junmei Samantha Kwah, Hwee Meng Low, Chengxuan Tong, Maanasa Natrajan,, Michael Hongjie Zhang,, Licheng Xu, Karrie Kwan Ki Ko, Eliza Xin Pei Ho
ISI Best Publications
Although disinfection is key to infection control, the colonization patterns and resistomes of hospital-environment microbes remain underexplored. We report the first extensive genomic characterization of microbiomes, pathogens and antibiotic resistance cassettes in a tertiary-care hospital, from repeated sampling (up to 1.5 years apart) of 179 sites associated with 45 beds. Deep shotgun metagenomics unveiled distinct ecological niches of microbes and antibiotic resistance genes characterized by biofilm-forming and human-microbiome-influenced environments with corresponding patterns of spatiotemporal divergence. Quasi-metagenomics with nanopore sequencing provided thousands of high-contiguity genomes, phage and plasmid sequences (>60% novel), enabling characterization of resistome and mobilome diversity and dynamic …
Gene Regulation And Cell Fate Choice In The Developing Vertebrate Retina,
2020
CUNY Graduate Center
Gene Regulation And Cell Fate Choice In The Developing Vertebrate Retina, Sruti Patoori
Dissertations, Theses, and Capstone Projects
The diverse neuronal cell types in the vertebrate retina all originate from multipotent retinal progenitor cells (RPCs). These undergo a series of molecular changes driven by developmental gene regulatory networks (GRNs) as they divide to generate RPCs which are more restricted in their potential fates. It is crucial to understand these GRNs and changes to gene expression in order to understand how cell identity is established during retinal development. In particular, the GRN that promotes the development of cone photoreceptors and horizontal cells is not well-defined. This work focuses on two approaches to further elucidate the components of this regulatory …
Cancer Genetic Counselors’ Perceptions Of Nutritional Recommendations,
2020
Claremont Colleges
Cancer Genetic Counselors’ Perceptions Of Nutritional Recommendations, Breann Reinsch
KGI Theses and Dissertations
Objective: The purpose of this research study is to understand the perspectives of genetic counselors who work with patients in the cancer setting and explore if nutrition is a consideration when counseling patients.
Background: Evidence on the influence of nutrition on cancer risk is increasing with retrospective cohort studies. The American Cancer Society states that smoking, body mass index (BMI), poor nutrition, and excess alcohol consumption are directly linked to cancer occurrences, therefore some cancers may be preventable through lifestyle changes (American Cancer Society, 2016). In cancer genetic counseling sessions, patients are often inquiring about nutritional recommendations. A majority of …
Statistical Inference Of Adaptation At Multiple Genomic Scales Using Supervised Classification And A Hidden Markov Model,
2020
Duquesne University
Statistical Inference Of Adaptation At Multiple Genomic Scales Using Supervised Classification And A Hidden Markov Model, Lauren A. Sugden
Biology and Medicine Through Mathematics Conference
No abstract provided.
Identification Of Clinically-Relevant Sequence Variants Within The Human Reference Genome,
2020
Children's Mercy Kansas City
Identification Of Clinically-Relevant Sequence Variants Within The Human Reference Genome, Lisa A. Lansdon
Research Days
No abstract provided.
Performance Analysis Of Three Bioinformatic Variant Callers Using A Somatic Reference Standard,
2020
Children's Mercy Kansas City
Performance Analysis Of Three Bioinformatic Variant Callers Using A Somatic Reference Standard, Binu Porath, Binu Porath
Research Days
No abstract provided.
Use Of Embark Database And An Active Learning Protocol In A High School Classroom,
2020
University of Mississippi
Use Of Embark Database And An Active Learning Protocol In A High School Classroom, Landon Goodreau
Honors Theses
With advances in technology, personal genome sequencing has become more affordable than ever before. With this wealth of genetic information come new individualized approaches to medicine and pharmacology, along with moral, legal, and ethical issues to carefully consider. Yet studies suggest that most members of the general public do not have the genetic literacy required to understand the implications of genomic data. It is important that today’s students are able to grasp concepts relating to their own genome to make informed medical decisions in the future. Here I describe an active learning-based activity designed to enhance high school students’ understanding …
A Genomic Analysis Of Bobcat Populations In North America With A Comparison To The Canada Lynx: An Assessment Of Local Adaptation To Unique Ecoregions And Phylogeography,
2020
Duquesne University
A Genomic Analysis Of Bobcat Populations In North America With A Comparison To The Canada Lynx: An Assessment Of Local Adaptation To Unique Ecoregions And Phylogeography, Jennifer C. Broderick
Electronic Theses and Dissertations
Bobcats (Lynx rufus) are an ecologically and genetically diverse species with a large contiguous range throughout North America. The species not only has a wide array of phenotypic variation compared to other mammals, but shows marked adaptability across ecozones with differing ecological influences. It is these various selective pressures in distinctive parts of the continent that have likely led to localized adaptations within the bobcat metapopulations. The species is also marked by its ability to maintain connectivity and populations in anthropogenically developed areas, an advantage it has over other felids, including its close relative the Canada lynx ( …
