Biology Commons^™

Deep Learning In Bioinformatics, Malik Yousef, Jens Allmer

Turkish Journal of Biology

Deep learning is a powerful machine learning technique that can learn from large amounts of data using multiple layers of artificial neural networks. This paper reviews some applications of deep learning in bioinformatics, a field that deals with analyzing and interpreting biological data. We first introduce the basic concepts of deep learning and then survey the recent advances and challenges of applying deep learning to various bioinformatics problems, such as genome sequencing, gene expression analysis, protein structure prediction, drug discovery, and disease diagnosis. We also discuss future directions and opportunities for deep learning in bioinformatics. We aim to provide an …

Engaging Students In A Genetics Course-Based Undergraduate Research Experience Utilizing Caenorhabditis Elegans In Hybrid Learning To Explore Human Disease Gene Variants, Natalie Forte, Virginia Veasey, Bethany Christie, Amira Carter, Marli Hanks, Alan Holderfield, Taylor Houston, Anil Challa, Ashley Turner

Research, Publications & Creative Work

Genetic analysis in model systems using bioinformatic approaches provides a rich context for a concrete and conceptual understanding of gene structure and function. With the intent to engage students in research and explore disease biology utilizing the nematode Caenorhabditis elegans model, we developed a semester-long course-based undergraduate research experience (CURE) in a hybrid (online/in-person) learning environment—the gene-editing and evolutionary nematode exploration CURE (GENE-CURE). Using a combination of bioinformatic and molecular genetic tools, students performed structure-function analysis of disease-associated variants of uncertain significance (VUS) in human orthologs. With the aid of a series of workshop-style research sessions, students worked in teams …

An Evolutionary Comparative Study Of Congenital Stationary Night Blindness-Associated Trpm1 Genetic Variants Of Uncertain Significance In Horses And Humans Utilizing Caenorhabditis Elegans, Gabrielle Davis

Theses

Congenital stationary night blindness (CSNB) is a heterogeneous collection of genetic diseases affecting the eyes and vision in horses and humans. Current research has implicated several genetic mutations impacting different genes involved in phototransduction and signal transmission, including TRPM1. In horses, genetic mutations in TRPM1 also result in a leopard spotting pattern or leopard complex. The goal of this study is to examine the potential impact of CSNB associated TRPM1 missense variants of uncertain significance (VUS). Previous research in Caenorhabditis elegans have revealed an orthologous TRPM1 gene known as gon-2 that allows for comparative studies. The evolutionary relationship of …

Targeted Mapping Of Oryza Sativa Chilling Tolerance Candidate Genes Using Multiple Stress-Relevant Quantitative Traits, Naoki Simon Shimoyama

Dissertations (1934 -)

Developing chilling tolerant accessions of domesticated Asian rice is a potential source of significant crop improvement to address the needs of a growing global population. The uniquely chilling sensitive nature of the tropically originating Oryza sativa make it the most important staple crop that could gain the maximum benefit from improved tolerance to low temperature stress. However, mechanisms underlying this complex trait are not fully understood. Oryza sativa has two major varietal groups with different levels of chilling tolerance, JAPONICA and INDICA, providing an ideal tool to investigate mechanistic differences in the chilling stress tolerance responses within this important crop …

Vircy-Seq : A Protocol For Characterizing Viral Activity, Tyler James Dion

Legacy Theses & Dissertations (2009 - 2024)

The main purpose of pharmaceutical production is to produce safe effective medicine for patient use. In an effort to ensure patient safety constant surveillance for viruses takes place. The detection of a viral nucleic acid in a pharmaceutical production setting results in investigations to assess its infectious potential. This is an intensive, expensive process that entails many tests such as the observation of hemadsorption, cytopathic effects (CPE), and more. These tests are typically specific and only capture certain viruses, as factors like CPE can only be observed in some viral species. A new investigational method that is effective on all …

Ngly1 Deficiency Affects Glycosaminoglycan Biosynthesis And Wnt Signaling Pathway In Mice, Amy Batten

PANDION: The Osprey Journal of Research and Ideas

Individuals affected by NGLY1 Deficiency cannot properly deglycosylate and recycle certain proteins. Even though less than 100 people worldwide have been diagnosed with this rare autosomal recessive condition, thousands are affected by similar glycosylation disorders. Common phenotypic manifestations of NGLY1 Deficiency include severe neural and intellectual delay, impaired muscle and liver function, and seizures that may become intractable. Very little is currently known about the various mechanisms through which NGLY1 deficiency affects the body and this has led to a lack of viable treatment options for those afflicted. This experiment uses a loss-of-function (LOF) mouse model of NGLY1 Deficiency homologous …

Genome-Wide Identification And Salt Stress Response Analysis Of The Bzip Transcription Factor Family In Sugar Beet, Yongyong Gong, Xin Liu, Sixue Chen, Hongli Li, Huizi Duanmu

Faculty and Student Publications

As one of the largest transcription factor families in plants, bZIP transcription factors play important regulatory roles in different biological processes, especially in the process of stress response. Salt stress inhibits the growth and yield of sugar beet. However, bZIP-related studies in sugar beet (Beta vulgaris L.) have not been reported. This study aimed to identify the bZIP transcription factors in sugar beet and analyze their biological functions and response patterns to salt stress. Using bioinformatics, 48 BvbZIP genes were identified in the genome of sugar beet, encoding 77 proteins with large structural differences. Collinearity analysis showed that three pairs …

Alterations Of The Gut Mycobiome In Patients With Ms - A Bioinformatic Approach, Saumya Shah

Honors Scholar Theses

The mycobiome is the fungal component of the gut microbiome and is implicated in several autoimmune diseases. However, its role in multiple sclerosis (MS) has not been studied. We performed descriptive and formal statistical tests using the R language to characterize the gut mycobiome in people with MS (pwMS) and healthy controls. We found that the microbiome composition of multiple sclerosis patients is different from healthy people. The mycobiome had significantly higher alpha diversity and inter-subject variation in pwMS than controls. Additionally, Saccharomyces and Aspergillus were over-represented in pwMS. Different mycobiome profiles, defined as mycotypes, were associated with different bacterial …

Bioinformatics Analysis Of The Transcriptomic Profiles Of Duchenne Muscular Dystrophy Patients / Narrative Competence And Cognitive Mapping As A Culturally Sustaining Pedagogy In The Education Of Emergent Bilinguals, Bianca Gonzalez

Legacy Theses & Dissertations (2009 - 2024)

Duchenne Muscular Dystrophy (DMD) is a muscle-wasting disease that primarily affects boys characterized by loss of the dystrophin gene. Dystrophin is necessary for proper muscle growth, muscles that lack dystrophin are more prone to damage. In this thesis, a bioinformatics approach was used to evaluate the transcriptomic profiles of two datasets obtained from DMD patients. The two datasets were analyzed separately, as well as combined to identify differentially expressed genes. The first dataset, GSE6011, has 23 DMD samples and 14 controls. The second, GSE38417, consists of 16 DMD samples and six controls. Differential gene expression of both datasets combined found …

Exploring The Functionality Of Putative Bop3 Post-Translational Modifications, Liliya Tkachuk

Honors Scholars Collaborative Projects

All eukaryotic cells require that transcribed mRNAs undergo export form the nucleus to the cytoplasm where they can be translated into proteins. This process requires a host of proteins which are conserved between the unicellular budding yeast, S. cerevisiae, and humans. During this process, Mex67 and other associated proteins facilitate the mRNA to travel across the nuclear pore complex (NPC), doorways embedded in the nuclear envelope. Upon the exit of mRNA, Mex67 is released and recycled back into the nucleus to facilitate the export of more mRNA. This occurs through the action of Dbp5, whose activity is regulated through …

The Mrna/Protein Relationship Is Fluid And Changes Across Tissue And Diseased States, Jose Humberto Giraldez Chavez, Sam Payne

Library/Life Sciences Undergraduate Poster Competition 2022

• Cancer is a dysregulated cell
• Molecular typing via DNA/RNA/protein
• Is RNA a proxy for cell?

Exploring The Functionality Of Putative Bop3 Post-Translational Modifications, Liliya Tkachuk, Rebecca Adams Phd

Belmont University Research Symposium (BURS)

All eukaryotic cells require that transcribed mRNAs undergo export form the nucleus to the cytoplasm where they can be translated into proteins. This process requires a host of proteins which are conserved between the unicellular budding yeast, S. cerevisiae, and humans. During this process, Mex67 and other associated proteins facilitate the mRNA to travel across the nuclear pore complex (NPC), doorways embedded in the nuclear envelope. Upon the exit of mRNA, Mex67 is released and recycled back into the nucleus to provide the export of more mRNA. This release occurs through the action of Dbp5, whose activity is regulated …

The Isolation And Characterization Of Bacteriophage Hasitha, Gillian Brown

Mahurin Honors College Capstone Experience/Thesis Projects

Microbacteriophage Hasitha is a virus that infects Microbacterium foliorum, a bacterium associated with grasses that was first discovered in Germany. Hasitha was isolated from an enriched compost sample and is of particular interest due to its unusual growth pattern. Most bacteriophages require actively growing host cells to produce new phage progeny. However, Hasitha can infect and kill stationary (non-replicating) bacterial cells. We discovered this unusual characteristic through a fortuitous observation of infected lawns that were allowed to incubate in the lab workspace for approximately one month. During this time, a noticeable “halo” grew around the initial site of infection …

Predicting Gene Function Of Unknown Yeast Orfs Through Phylogenetic Comparative Analysis, Lewis Barr

Graduate Research Showcase

Yeast (Saccharomyces cerevisiae) has been an instrumental model system for an extraordinary diverse array of research applications for over a century now. The S. cerevisiae genome was fully sequenced in 1996, and, as a result, 6,753 potential proteins were identified. These putative proteins were established by investigating likely open reading frames within the genome. Over the past few decades, nearly 5,000 open reading frames (ORFs) and their expressed proteins have been described, and the remaining undefined open reading frames are labeled as open reading frames of unknown function (ORFans). To better understand the remaining gaps within the S. …

Doxorubicin-Induced Transcriptome Meets Interactome: Identification Of New Drug Targets, Hi̇lal Taymaz-Ni̇kerel

Turkish Journal of Biology

The working mechanism of the chemotherapeutic drug doxorubicin, which is frequently used in cancer treatment, its effects on cell metabolism, and pathways activated solely by doxorubicin are not fully known. Understanding these principles is important both in improving existing therapies and in finding new drug targets. Here, I describe a systems-biology approach to find a generalizable working principle for doxorubicin by superimposition of human interactome over gene datasets commonly expressed among various cancer types. The common ?in at least two different diseases?transcriptional response of distinctive cancer cell lines to doxorubicin was reflected via 199 significantly and differentially expressed genes, mostly …

Developing A Label Propagation Approach For Cancer Subtype Identification Problem, Pinar Güner, Burcu Güngör, Mustafa Coşkun

Turkish Journal of Biology

Cancer is a disease in which abnormal cells grow uncontrollably and invade other tissues. Several types of cancer have various subtypes with different clinical and biological implications. Based on these differences, treatment methods need to be customized. The identification of distinct cancer subtypes is an important problem in bioinformatics, since it can guide future precision medicine applications. In order to design targeted treatments, bioinformatics methods attempt to discover common molecular pathology of different cancer subtypes. Along this line, several computational methods have been proposed to discover cancer subtypes or to stratify cancer into informative subtypes. However, existing works do not …

From Microbes To Management: Spatial And Temporal Variations In Available Vegetation Affect The Gut Microbiota In A Population Of Free-Ranging Generalist Herbivores, Olivia K. Rodríguez

Boise State University Theses and Dissertations

The effects of extrinsic environmental factors that shape ecological systems are not only seen at the macroscopic level, but additionally influence and govern the host-associated microbial communities of their mammalian hosts. These microbial communities are susceptible to the fluctuation of abiotic and biotic factors which affect their host organisms. The surge in the research of microbiota–communities of archaea, bacteria, fungi, and viruses residing in various environmental systems–has shown that these communities can profoundly influence animal health. As such, monitoring microbiota has allowed for a new approach to study animal health and physiology. This is of particular benefit in the conservation …

The Brown Bear Gut Microbiome: A Novel Tool For Conservation & Management, Sarah M. Trujillo

All NMU Master's Theses

Gut microbiomes (GMBs), complex communities of microorganisms inhabiting the gastrointestinal tracts of their hosts, perform countless micro-ecosystem services such as facilitating energy uptake and modulating immune responses. While scientists increasingly recognize the role GMBs play in host health, the role of GMBs in wildlife ecology and conservation has yet to be realized fully. Here, I use brown bears (Ursus arctos) as an ecological model to investigate (1) how both extrinsic and intrinsic factors influence GMB community membership and structure; and (2) the correlation between GMB membership and brown bear health metrics. To achieve these aims, I subsampled archived …

The Bioinformatics Virtual Coordination Network: An Open-Source And Interactive Learning Environment, Benjamin J. Tully, Joy Buongiorno, Ashley B. Cohen, Jacob A. Cram, Arkadiy I. Garber, Sarah K. Hu, Arianna I. Krinos, Philip T. Leftwich, Alexis J. Marshall, Ella T. Sieradzki, Daan R. Speth, Elizabeth A. Suter, Christopher B. Trivedi, Luis E. Valentin-Alvarado, Jake L. Weissman, Bvcn Instructor Consortium

Faculty Works: Biology, Chemistry, and Environmental Studies

Lockdowns and “stay-at-home” orders, starting in March 2020, shuttered bench and field dependent research across the world as a consequence of the global COVID-19 pandemic. The pandemic continues to have an impact on research progress and career development, especially for graduate students and early career researchers, as strict social distance limitations stifle ongoing research and impede in-person educational programs. The goal of the Bioinformatics Virtual Coordination Network (BVCN) was to reduce some of these impacts by helping research biologists learn new skills and initiate computational projects as alternative ways to carry out their research. The BVCN was founded in April …

Phylogenomics And Population History Of Cichlid And Live-Bearing Fish Species In Lowland Neotropical Rivers, Konrad Taube

College of Science and Health Theses and Dissertations

Within Middle America, cichlids and poeciliids account for more than half of the fish biodiversity. This richness in fish fauna highlights the complexity of Middle American biogeography: no other continental area on earth contains within its range the unparalleled abundance of secondary freshwater fish species (fish that can tolerate both saltwater and freshwater). Research into the biogeography of widely distributed Middle American freshwater fish is essential to understanding this unique region.

Three species of freshwater fishes (Belonesox belizanus – Pike killifish, Vieja maculicauda – Black belt cichlid, and Gambusia nicaraguensis – Nicaraguan mosquitofish) are widely distributed across rivers on …

You Are What You Eat — Exploring The Microbiome Through Inquiry-Based Labs. Microbiome Lesson Plans, Karla S. Fuller

Open Educational Resources

If these commonly used spices have the ability to inhibit pathogenic bacterial growth, could they also potentially inhibit the growth of normal, harmless bacteria that live in your body? In this lab, we will test common bacteria for resistance to food additives.

Unveiling Global Roles Of G-Quadruplexes And G4-22 In Human Genetics, Ruth Barros De Paula

Dissertations & Theses (Open Access)

G-quadruplexes are non-B DNA structures formed by four or more runs of repeated guanines that confer unique features to living organism’s genomes. These sequences are enriched in regulatory regions, such as promoters and 5’ UTRs, and have distinct regulatory roles in both health and disease states. Even though previous studies showed the impact of G4 in gene expression, none of them summarized the location-specific effect of G4. Also, there is no broad understanding about the most common G4 repeat in the human genome, named here as G4-22, and how it links to the evolution of mammals and their biology. In …

Gene Annotation Of The Hypothetical Protein-Coding Genes Of Yersinia Pestis, Bethany Wilkinson, Celestino Velasquez

Research Symposium

Technological advances within the past two decades have allowed researchers the capacity to sequence and analyze any genome. However, while many organisms have had their genomes sequenced, hardly any have been manually interpreted to propose the organism’s hypothetical protein-coding genes’ functions. The primary amino acid sequences of the organism’s genes can be used to offer functions for the organism’s proteins. Online programs such as BLAST, T-COFFEE, MUSCLE, TMHMM, SignalP, Phobius, and PSORTb, identify several properties such as conserved domains, protein families, protein conformations, signal peptides, and transmembrane regions of the sequences. These elements can be examined to provide insight into …

Gene Annotation Of The Hypothetical Protein-Coding Genes Of Coxiella Burnetii, Jason Salvato, Celestino Velasquez

Research Symposium

Genetic information of organisms and microorganisms has become readily accessible due to advances in genomic sequencing and bioinformatic technology. Despite these advances, there are numerous organisms with genome sequences that have yet to be annotated. Many of these genome sequences require manual annotation, which can uncover hypothetical protein-coding genes. Through the use of publicly available online bioinformatics tools, such as BLAST, T- COFFEE, TMHMM, SignalP, Phobius, and PSORTb, the functions of hypothetical protein- coding genes can be predicted from primary amino acid sequences. Two clusters of properties that aid in determining and predicting the hypothetical genes involve sequence similarity and …

Omicsvolcano: Software For Intuitive Visualization And Interactive Exploration Of High-Throughput Biological Data, Irina Kuznetsova, Artur Lugmayr, Oliver Rackham, Aleksandra Filipovska

Research outputs 2014 to 2021

Advances in omics technologies have generated exponentially larger volumes of biological data; however, their analyses and interpretation are limited to computationally proficient scientists. We created OmicsVolcano, an interactive open-source software tool to enable visualization and exploration of high-throughput biological data, while highlighting features of interest using a volcano plot interface. In contrast to existing tools, our software and user-interface design allow it to be used without requiring any programming skills to generate high-quality and presentation-ready images.

Autologous Stem Cell-Derived Β Cells For Diabetes Cell Replacement Therapy, Kristina G. Maxwell

McKelvey School of Engineering Theses & Dissertations

Autologous stem cell therapy is a promising treatment for patients with diabetes worldwide. Previous stem cell-derived β (SC-β) cell protocols were unable to efficiently differentiate multiple patient induced pluripotent stem cells (iPSCs) into stem cell-derived islets (SC-islets), containing insulin-secreting SC-β cells. Recent updates targeting the actin cytoskeleton have enabled the differentiation of 14 diabetic and nondiabetic stem cell lines into SC-islets. We used genetic engineering, specifically CRISPR/Cas9, to correct the diabetes-causing mutation in stem cells from patients with Wolfram Syndrome. The genetically engineered SC-β cells functioned and had a composition similar to nondiabetic SC-β cells, unlike the unedited SC-β cells …

Ss-Carboline Alkaloids Induce Structural Plasticity And Inhibition Of Sars-Cov-2 Nsp3 Macrodomain More Potently Than Remdesivir Metabolite Gs-441524: Computational Approach, Yusuf Oloruntoyin Ayipo, Sani Najib Yahaya, Halimah Funmilayo Babamale, Iqrar Ahmad, Harun Patel, Mohd Nizam Mordi

Turkish Journal of Biology

The nsp3 macrodomain is implicated in the viral replication, pathogenesis and host immune responses through the removal of ADP-ribosylation sites during infections of coronaviruses including the SARS-CoV-2. It has ever been modulated by macromolecules including the ADP-ribose until Ni and co-workers recently reported its inhibition and plasticity enhancement unprecedentedly by remdesivir metabolite, GS-441524, creating an opportunity for investigating other biodiverse small molecules such as ß-Carboline (ßC) alkaloids. In this study, 1497 ßC analogues from the HiT2LEAD chemical database were screened, using computational approaches of Glide XP docking, molecular dynamics simulation and pk-CSM ADMET predictions. Selectively, ßC ligands, 129, 584, 1303 …

Prediction Of Host-Pathogen Protein Interactions By Extended Network Model, İrfan Kösesoy, Murat Gök, Tamer Kahveci̇

Turkish Journal of Biology

Knowledge of the pathogen-host interactions between the species is essentialin order to develop a solution strategy against infectious diseases. In vitro methods take extended periods of time to detect interactions and provide very few of the possible interaction pairs. Hence, modelling interactions between proteins has necessitated the development of computational methods. The main scope of this paper is integrating the known protein interactions between thehost and pathogen organisms to improve the prediction success rate of unknown pathogen-host interactions. Thus, the truepositive rate of the predictions was expected to increase.In order to perform this study extensively, encoding methods and learning algorithms …

Identification Of Differentially Expressed Micrornas In Primary Esophageal Achalasia By Next-Generation Sequencing, Mahin Gholipour, Javad Mikaeli, Seyed Javad Mowla, Mohammad Reza Bakhtiarzadeh, Marie Saghaeian Jazi, Naeme Javid, Narges Fazlollahi, Masoud Khoshnia, Naser Behnampour, Abdolvahab Moradi

Turkish Journal of Biology

Molecular knowledge regarding the primary esophageal achalasia is essential for the early diagnosis and treatment of this neurodegenerative motility disorder. Therefore, there is a need to find the main microRNAs (miRNAs) contributing to the mechanisms of achalasia. This study was conducted to determine some patterns of deregulated miRNAs in achalasia. This case-control study was performed on 52 patients with achalasia and 50 nonachalasia controls. The miRNA expression profiling was conducted on the esophageal tissue samples using the next-generation sequencing (NGS). Differential expression of miRNAs was analyzed by the edgeR software. The selected dysregulated miRNAs were additionally confirmed using the quantitative …

Composition And Homology In The Taxonomic Classification Of Escherichia Coli, Tanya Irani

Theses and Dissertations (Comprehensive)

As new techniques have been introduced, specifically the possibility of complete genome sequencing, better methods of defining bacterial species have also been proposed. One of the most recently proposed methods, using bioinformatic techniques, is to calculate the average nucleotide identity (ANI) between the homologous genome segments of different isolates. Another method for species discrimination that has been tested successfully is the similarity of DNA compositional signatures. However, in a recent update, DNA signatures split the available Escherichia coli complete genomes into three groups. To check if this result was consistent with such genomes belonging to different species, we tested methods …