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Statistical Inference Of Adaptation At Multiple Genomic Scales Using Supervised Classification And A Hidden Markov Model, Lauren A. Sugden 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.


Meta-Analysis Of Biological Research Literature, Evan Suggs 2020 University of Tennessee at Chattanooga

Meta-Analysis Of Biological Research Literature, Evan Suggs

Honors Theses

Comparative studies have been powerful tools in generating a broad understanding about the evolution of animal social systems but they currently rely on the slow, manual process of reading thousands of abstracts and papers from research databases. A web application was created for researchers conducting a comparative survey, in order to speed up their research. This web application automates the retrieval of research papers and their selection process. Using previously obtained data sets on the orders Artiodacytla and Lagomorph, a machine learning application was created to classify the papers. These techniques and tools should greatly increase the speed at which ...


Comparative Analysis Of Metabolic Pathways Of Bacteria Used In Fermented Food, Keanu Hoang, Kiran Bastola 2020 University of Nebraska at Omaha

Comparative Analysis Of Metabolic Pathways Of Bacteria Used In Fermented Food, Keanu Hoang, Kiran Bastola

Theses/Capstones/Creative Projects

This study presents a novel methodology for analyzing metabolic pathways. Utilizing KEGG REST API through a Biopython package and file parser, data about whether or not a bacteria has an enzyme or not was extracted. The results found that differences in metabolic pathway enrichment values follow along the lines of genera and pathway type. In particular, bacteria found in food spoilage and commercial nitrogen fixing products had high values of enrichment.


Evolutionary And Ecological Determinism Of Host Specificity In Arthropod Parasites, Joseph Levey 2020 University of Nebraska-Lincoln

Evolutionary And Ecological Determinism Of Host Specificity In Arthropod Parasites, Joseph Levey

UCARE Research Products

Understanding why some diseases infect more species than others is crucial for predicting where and when disease will spread, which can inform the management of wildlife, agriculture, and human health. Currently, large scale patterns of host-parasite dynamics are being studied to understand where to look for and how to manage emerging human diseases (Leroy 2005; Benelli 2018). Previous research has used the Global Mammal Parasite Database (GMPD) to look at host breadth—the number and diversity of species a pathogen can infect—for various groups of parasites, e.g. helminths, arthropods, fungi, etc., from a host-centric perspective (Stephens et al ...


Transcriptomic Profiling Reveals Extraordinary Diversity Of Venom Peptides In Unexplored Predatory Gastropods Of The Genus Clavus, Aiping Lu, Maren Watkins, Qing Li, Samuel D. Robinson, Gisela P. Concepcion, Mark Yandell, Zhiping Weng, Baldomero M. Olivera, Helena Safavi-Hemami, Alexander E. Fedosov 2020 Tongji University

Transcriptomic Profiling Reveals Extraordinary Diversity Of Venom Peptides In Unexplored Predatory Gastropods Of The Genus Clavus, Aiping Lu, Maren Watkins, Qing Li, Samuel D. Robinson, Gisela P. Concepcion, Mark Yandell, Zhiping Weng, Baldomero M. Olivera, Helena Safavi-Hemami, Alexander E. Fedosov

Open Access Articles

Predatory gastropods of the superfamily Conoidea number over 12,000 living species. The evolutionary success of this lineage can be explained by the ability of conoideans to produce complex venoms for hunting, defense and competitive interactions. Whereas venoms of cone snails (family Conidae) have become increasingly well studied, the venoms of most other conoidean lineages remain largely uncharacterized. In the present study we present the venom gland transcriptomes of two species of the genus Clavus that belong to the family Drilliidae. Venom gland transcriptomes of two specimens of Clavus canalicularis, and two specimens of Cv. davidgilmouri were analyzed, leading to ...


Dolphinnext: A Distributed Data Processing Platform For High Throughput Genomics, Onur Yukselen, Osman Turkyilmaz, Ahmet R. Ozturk, Manuel Garber, Alper Kucukural 2020 University of Massachusetts Medical School

Dolphinnext: A Distributed Data Processing Platform For High Throughput Genomics, Onur Yukselen, Osman Turkyilmaz, Ahmet R. Ozturk, Manuel Garber, Alper Kucukural

Open Access Articles

BACKGROUND: The emergence of high throughput technologies that produce vast amounts of genomic data, such as next-generation sequencing (NGS) is transforming biological research. The dramatic increase in the volume of data, the variety and continuous change of data processing tools, algorithms and databases make analysis the main bottleneck for scientific discovery. The processing of high throughput datasets typically involves many different computational programs, each of which performs a specific step in a pipeline. Given the wide range of applications and organizational infrastructures, there is a great need for highly parallel, flexible, portable, and reproducible data processing frameworks. Several platforms currently ...


Single-Cell Analysis Of Upper Airway Cells Reveals Host-Viral Dynamics In Influenza Infected Adults, Yuming Cao, Zhiru Guo, Pranitha Vangala, Elisa Donnard, Ping Liu, Patrick McDonel, Jose Ordovas Montanes, Alex K. Shalek, Robert W. Finberg, Jennifer P. Wang, Manuel Garber 2020 University of Massachusetts Medical School

Single-Cell Analysis Of Upper Airway Cells Reveals Host-Viral Dynamics In Influenza Infected Adults, Yuming Cao, Zhiru Guo, Pranitha Vangala, Elisa Donnard, Ping Liu, Patrick Mcdonel, Jose Ordovas Montanes, Alex K. Shalek, Robert W. Finberg, Jennifer P. Wang, Manuel Garber

University of Massachusetts Medical School Faculty Publications

Influenza virus infections are major causes of morbidity and mortality. Research using cultured cells, bulk tissue, and animal models cannot fully capture human disease dynamics. Many aspects of virus-host interactions in a natural setting remain unclear, including the specific cell types that are infected and how they and neighboring bystander cells contribute to the overall antiviral response. To address these questions, we performed single-cell RNA sequencing (scRNA-Seq) on cells from freshly collected nasal washes from healthy human donors and donors diagnosed with acute influenza during the 2017-18 season. We describe a previously uncharacterized goblet cell population, specific to infected individuals ...


Dugesia Japonica Is The Best Suited Of Three Planarian Species For High-Throughput Toxicology Screening, D. Ireland, Veronica Bochenek , '22, Daniel Chaiken , '20, C. Rabeler, Sumi Onoe , '21, Ameet Soni, Eva-Maria S. Collins 2020 Swarthmore College

Dugesia Japonica Is The Best Suited Of Three Planarian Species For High-Throughput Toxicology Screening, D. Ireland, Veronica Bochenek , '22, Daniel Chaiken , '20, C. Rabeler, Sumi Onoe , '21, Ameet Soni, Eva-Maria S. Collins

Biology Faculty Works

High-throughput screening (HTS) using new approach methods is revolutionizing toxicology. Asexual freshwater planarians are a promising invertebrate model for neurotoxicity HTS because their diverse behaviors can be used as quantitative readouts of neuronal function. Currently, three planarian species are commonly used in toxicology research: Dugesia japonica, Schmidtea mediterranea, and Girardia tigrina. However, only D. japonica has been demonstrated to be suitable for HTS. Here, we assess the two other species for HTS suitability by direct comparison with D. japonica. Through quantitative assessments of morphology and multiple behaviors, we assayed the effects of 4 common solvents (DMSO, ethanol, methanol, ethyl acetate ...


Evaluation Of Pre-Processing On The Meta-Analysis Of Dna Methylation Data From The Illumina Humanmethylation450 Beadchip Platform, Claudia Sala, Pietro Di Lena, Danielle Fernandes Durso, Andrea Prodi, Gastone Castellani, Christine Nardini 2020 University of Bologna

Evaluation Of Pre-Processing On The Meta-Analysis Of Dna Methylation Data From The Illumina Humanmethylation450 Beadchip Platform, Claudia Sala, Pietro Di Lena, Danielle Fernandes Durso, Andrea Prodi, Gastone Castellani, Christine Nardini

Open Access Articles

INTRODUCTION: Meta-analysis is a powerful means for leveraging the hundreds of experiments being run worldwide into more statistically powerful analyses. This is also true for the analysis of omic data, including genome-wide DNA methylation. In particular, thousands of DNA methylation profiles generated using the Illumina 450k are stored in the publicly accessible Gene Expression Omnibus (GEO) repository. Often, however, the intensity values produced by the BeadChip (raw data) are not deposited, therefore only pre-processed values -obtained after computational manipulation- are available. Pre-processing is possibly different among studies and may then affect meta-analysis by introducing non-biological sources of variability.

MATERIAL AND ...


Evaluation Of Pre-Processing On The Meta-Analysis Of Dna Methylation Data From The Illumina Humanmethylation450 Beadchip Platform, Claudia Sala, Pietro Di Lena, Danielle Fernandes Durso, Andrea Prodi, Gastone Castellani, Christine Nardini 2020 University of Bologna

Evaluation Of Pre-Processing On The Meta-Analysis Of Dna Methylation Data From The Illumina Humanmethylation450 Beadchip Platform, Claudia Sala, Pietro Di Lena, Danielle Fernandes Durso, Andrea Prodi, Gastone Castellani, Christine Nardini

Infectious Diseases and Immunology Publications

INTRODUCTION: Meta-analysis is a powerful means for leveraging the hundreds of experiments being run worldwide into more statistically powerful analyses. This is also true for the analysis of omic data, including genome-wide DNA methylation. In particular, thousands of DNA methylation profiles generated using the Illumina 450k are stored in the publicly accessible Gene Expression Omnibus (GEO) repository. Often, however, the intensity values produced by the BeadChip (raw data) are not deposited, therefore only pre-processed values -obtained after computational manipulation- are available. Pre-processing is possibly different among studies and may then affect meta-analysis by introducing non-biological sources of variability.

MATERIAL AND ...


Pyrpipe: A Python Package For Rna-Seq Workflows, Urminder Singh, Jing Li, Arun Seetharam, Eve Syrkin Wurtele 2020 Iowa State University

Pyrpipe: A Python Package For Rna-Seq Workflows, Urminder Singh, Jing Li, Arun Seetharam, Eve Syrkin Wurtele

Genetics, Development and Cell Biology Publications

Implementing RNA-Seq analysis pipelines is challenging as data gets bigger and more complex. With the availability of terabytes of RNA-Seq data and continuous development of analysis tools, there is a pressing requirement for frameworks that allow for fast and efficient development, modification, sharing and reuse of workflows. Scripting is often used, but it has many challenges and drawbacks. We have developed a python package, python RNA-Seq Pipeliner (pyrpipe) that enables straightforward development of flexible, reproducible and easy-to-debug computational pipelines purely in python, in an object-oriented manner. pyrpipe provides high level APIs to popular RNA-Seq tools. Pipelines can be customized by ...


Effiicient Computation Of Maximal Exact Matches Between Genomic Sequences, Valeria Leticia Portes de Cerqueira Cesar 2020 The University of Western Ontario

Effiicient Computation Of Maximal Exact Matches Between Genomic Sequences, Valeria Leticia Portes De Cerqueira Cesar

Electronic Thesis and Dissertation Repository

Sequence alignment is one of the most accomplished methods in the field of bioinformatics, being crucial to determine similarities between sequences, from finding genes to predicting functions. The computation of Maximal Exact Matches (MEM) plays a fundamental part in some algorithms for sequence alignment. MEMs between a reference-query genome are often utilized as seeds in a genome aligner to increase its efficiency. The MEM computation is a time consuming step in the sequence alignment process and increasing the performance of this step increases significantly the whole process of the alignment between the sequences. As of today, there are many programs ...


The Cancer Microbiome: Distinguishing Direct And Indirect Effects Requires A Systemic View, Joao B. Xavier, Amir Mitchell 2020 Memorial Sloan-Kettering Cancer Center

The Cancer Microbiome: Distinguishing Direct And Indirect Effects Requires A Systemic View, Joao B. Xavier, Amir Mitchell

Open Access Articles

The collection of microbes that live in and on the human body - the human microbiome - can impact on cancer initiation, progression, and response to therapy, including cancer immunotherapy. The mechanisms by which microbiomes impact on cancers can yield new diagnostics and treatments, but much remains unknown. The interactions between microbes, diet, host factors, drugs, and cell-cell interactions within the cancer itself likely involve intricate feedbacks, and no single component can explain all the behavior of the system. Understanding the role of host-associated microbial communities in cancer systems will require a multidisciplinary approach combining microbial ecology, immunology, cancer cell biology, and ...


Proteomic And Transcriptional Profiles Of Human Stem Cell-Derived Beta Cells Following Enteroviral Challenge, Julius O. Nyalwidhe, Agata Jurczyk, Basanthi Satish, Sambra D. Redick, Natasha Qaisar, Melanie I. Trombly, Pranitha Vangala, Riccardo Racicot, Rita Bortell, David M. Harlan, Dale L. Greiner, Michael A. Brehm, Jerry L. Nadler, Jennifer P. Wang 2020 Eastern Virginia Medical School

Proteomic And Transcriptional Profiles Of Human Stem Cell-Derived Beta Cells Following Enteroviral Challenge, Julius O. Nyalwidhe, Agata Jurczyk, Basanthi Satish, Sambra D. Redick, Natasha Qaisar, Melanie I. Trombly, Pranitha Vangala, Riccardo Racicot, Rita Bortell, David M. Harlan, Dale L. Greiner, Michael A. Brehm, Jerry L. Nadler, Jennifer P. Wang

Open Access Articles

Enteroviral infections are implicated in islet autoimmunity and type 1 diabetes (T1D) pathogenesis. Significant beta-cell stress and damage occur with viral infection, leading to cells that are dysfunctional and vulnerable to destruction. Human stem cell-derived beta (SC-beta) cells are insulin-producing cell clusters that closely resemble native beta cells. To better understand the events precipitated by enteroviral infection of beta cells, we investigated transcriptional and proteomic changes in SC-beta cells challenged with coxsackie B virus (CVB). We confirmed infection by demonstrating that viral protein colocalized with insulin-positive SC-beta cells by immunostaining. Transcriptome analysis showed a decrease in insulin gene expression following ...


A Chromosomal Connectome For Psychiatric And Metabolic Risk Variants In Adult Dopaminergic Neurons, Sergio Espeso-Gil, Tyler M. Borrman, Zhiping Weng, Schahram Akbarian 2020 Icahn School of Medicine at Mount Sinai

A Chromosomal Connectome For Psychiatric And Metabolic Risk Variants In Adult Dopaminergic Neurons, Sergio Espeso-Gil, Tyler M. Borrman, Zhiping Weng, Schahram Akbarian

Open Access Articles

BACKGROUND: Midbrain dopaminergic neurons (MDN) represent 0.0005% of the brain's neuronal population and mediate cognition, food intake, and metabolism. MDN are also posited to underlay the neurobiological dysfunction of schizophrenia (SCZ), a severe neuropsychiatric disorder that is characterized by psychosis as well as multifactorial medical co-morbidities, including metabolic disease, contributing to markedly increased morbidity and mortality. Paradoxically, however, the genetic risk sequences of psychosis and traits associated with metabolic disease, such as body mass, show very limited overlap.

METHODS: We investigated the genomic interaction of SCZ with medical conditions and traits, including body mass index (BMI), by exploring ...


Hiv-1 Did Not Contribute To The 2019-Ncov Genome, Chuan Xiao, Xiaojun Li, Shuying Liu, Yongming Sang, Shou-Jiang Gao, Feng Gao 2020 University of Texas at El Paso

Hiv-1 Did Not Contribute To The 2019-Ncov Genome, Chuan Xiao, Xiaojun Li, Shuying Liu, Yongming Sang, Shou-Jiang Gao, Feng Gao

Coronavirus COVID-19 Publications by UMMS Authors

When a new pathogen that causes a global epidemic in humans, one key question is where it comes from. This is especially important for a zoonotic infectious disease that jumps from animals to humans. Knowing the origin of such a pathogen is critical to develop means to block further transmission and to develop vaccines. Discovery of the origin of a newly human pathogen is a sophisticated process that requires extensive and vigorous scientific validations and generally takes many years, such as the cases for HIV-1, SARS and MERS. Unfortunately, before the natural sources of new pathogens are clearly defined, conspiracy ...


Frequent Mutation Of Hypoxia-Related Genes In Persistent Pulmonary Hypertension Of The Newborn, Mingbang Wang, Deyi Zhuang, Mei Mei, Haiyan Ma, Zixiu Li, Fusheng He, Guoqiang Cheng, Guang Lin, Wenhao Zhou 2020 Children's Hospital of Fudan University

Frequent Mutation Of Hypoxia-Related Genes In Persistent Pulmonary Hypertension Of The Newborn, Mingbang Wang, Deyi Zhuang, Mei Mei, Haiyan Ma, Zixiu Li, Fusheng He, Guoqiang Cheng, Guang Lin, Wenhao Zhou

Open Access Articles

AIMS: Persistent pulmonary hypertension of the newborn (PPHN) is characterized by sustained high levels of pulmonary vascular resistance after birth with etiology unclear; Arterial blood oxygen saturation of Tibetan newborns at high latitudes is higher than that of Han newborns at low latitudes, suggesting that genetic adaptation may allow sufficient oxygen to confer Tibetan populations with resistance to pulmonary hypertension; We have previously identified genetic factors related to PPHN through candidate gene sequencing; In this study, we first performed whole exome sequencing in PPHN patients to screen for genetic-related factors.

METHODS AND RESULTS: In this two-phase genetic study, we first ...


On The Distribution Of Genetic Variation In Ecological Communities, Isaac Overcast 2020 The Graduate Center, City University of New York

On The Distribution Of Genetic Variation In Ecological Communities, Isaac Overcast

All Dissertations, Theses, and Capstone Projects

Biodiversity in ecological communities is structured hierarchically across spatial and temporal scales. Many open questions remain as to how this structure accumulates. For example, what are the relative contributions of dispersal versus in situ speciation? Or, how important are stochastic drift versus deterministic processes? Up to this point, these questions have been investigated by isolated disciplines (e.g. macroecology, comparative phylogeography, macroevolution) using tools and data that tend to focus on only one axis of community scale data (e.g. phylogenies, relative abundances, and/or trait information). Yet we know that there are feedbacks among processes that respond on short ...


A Curated Benchmark Of Enhancer-Gene Interactions For Evaluating Enhancer-Target Gene Prediction Methods, Jill E. Moore, Henry E. Pratt, Michael J. Purcaro, Zhiping Weng 2020 University of Massachusetts Medical School

A Curated Benchmark Of Enhancer-Gene Interactions For Evaluating Enhancer-Target Gene Prediction Methods, Jill E. Moore, Henry E. Pratt, Michael J. Purcaro, Zhiping Weng

Open Access Articles

BACKGROUND: Many genome-wide collections of candidate cis-regulatory elements (cCREs) have been defined using genomic and epigenomic data, but it remains a major challenge to connect these elements to their target genes.

RESULTS: To facilitate the development of computational methods for predicting target genes, we develop a Benchmark of candidate Enhancer-Gene Interactions (BENGI) by integrating the recently developed Registry of cCREs with experimentally derived genomic interactions. We use BENGI to test several published computational methods for linking enhancers with genes, including signal correlation and the TargetFinder and PEP supervised learning methods. We find that while TargetFinder is the best-performing method, it ...


Integrated Mirna-/Mrna-Seq Of The Habenulo-Interpeduncular Circuit During Acute Nicotine Withdrawal, Alison P. Casserly, Junko Tsuji, Rubing Zhao-Shea, Ciearra B. Smith, Susanna Molas-Casacuberta, Andrew R. Tapper, Zhiping Weng, Paul D. Gardner 2020 University of Massachusetts Medical School

Integrated Mirna-/Mrna-Seq Of The Habenulo-Interpeduncular Circuit During Acute Nicotine Withdrawal, Alison P. Casserly, Junko Tsuji, Rubing Zhao-Shea, Ciearra B. Smith, Susanna Molas-Casacuberta, Andrew R. Tapper, Zhiping Weng, Paul D. Gardner

Open Access Articles

Tobacco use is the leading preventable cause of mortality in the world. The limited number of smoking cessation aids currently available are minimally effective, highlighting the need for novel therapeutic interventions. We describe a genome-wide approach to identify potential candidates for such interventions. Next-generation sequencing was performed using RNA isolated from the habenulo-interpeduncular circuit of male mice withdrawn from chronic nicotine treatment. This circuit plays a central role in the nicotine withdrawal response. Differentially expressed miRNAs and mRNAs were validated using RT-qPCR. Many of the differentially expressed mRNAs are predicted targets of reciprocally expressed miRNAs. We illustrate the utility of ...


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