Comparison Of Multiple Imputation Algorithms And Verification Using Whole-Genome Sequencing In The Cmuh Genetic Biobank, 2021 China Medical University Hospital, Taiwan
Comparison Of Multiple Imputation Algorithms And Verification Using Whole-Genome Sequencing In The Cmuh Genetic Biobank, Ting-Yuan Liu, Chih-Fan Lin, Hsing-Tsung Wu, Ya-Lun Wu, Yu-Chia Chen, Chi-Chou Liao, Yu-Pao Chou, Dysan Chao, Hsing-Fang Lu, Ya-Sian Chang, Jan-Gowth Chang, Kai-Cheng Hsu, Fuu‑Jen Tsai
A genome-wide association study (GWAS) can be conducted to systematically analyze the contributions of genetic factors to a wide variety of complex diseases. Nevertheless, existing GWASs have provided highly ethnic specific data. Accordingly, to provide data specific to Taiwan, we established a large-scale genetic database in a single medical institution at the China Medical University Hospital. With current technological limitations, microarray analysis can detect only a limited number of single-nucleotide polymorphisms (SNPs) with a minor allele frequency of >1%. Nevertheless, imputation represents a useful alternative means of expanding data. In this study, we compared four imputation algorithms in terms of ...
Snake Venom Peptides And Toxin Targeting The Main Protease Of Sars-Cov-2, 2021 Kennesaw State University
Snake Venom Peptides And Toxin Targeting The Main Protease Of Sars-Cov-2, Breauna Strawder, James Stewart, Mohammad A. Halim
Symposium of Student Scholars
The corona virus began to spread in Wuhan, China which caused it to spread worldwide creating a global pandemic in the beginning of 2020, infecting over 243 million and killing over 4.5 million people worldwide. Significant efforts were made to produce vaccines against the virus, which led the recognition of a few vaccines that has been approved by FDA. These vaccines, Pfizer-BioNTech, Moderna and Johnson & Johnson, which all have efficacy against Covid-19. Despite having vaccines, COVID-19 is still present and infecting millions and killing thousands of people every day. Multiple therapeutic options would allow us to slow down or ...
Cell Penetrating Peptide Inhibiting The Main Protease Of Sars-Cov-2, 2021 Kennesaw State University
Cell Penetrating Peptide Inhibiting The Main Protease Of Sars-Cov-2, Adam Ashley, James Stewart, Mohammad Halim
Symposium of Student Scholars
As of October 2021, SARS-CoV-2 has infected over 244 million people and killed about 5 million people. The current FDA approved vaccines are effective; however, they lose their effectiveness after a few months of receiving both doses of the vaccine, and it is recommended to get a booster shot six months after receiving the second dose of the vaccine. Therefore, new highly effective, long lasting antiviral agents and strategies are needed to create an alternative treatment for SARS-CoV-2 and the different variants. Previous studies have shown that cell penetrating peptides (CPPs) have led to greater efficiency of intracellular delivery. However ...
Machine Learning-Based Risk Factor Analysis And Prevalence Prediction Of Intestinal Parasitic Infections, 2021 Illinois State University
Machine Learning-Based Risk Factor Analysis And Prevalence Prediction Of Intestinal Parasitic Infections, Ahmet Ay
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Untargeted Lipidomics Of Non-Small Cell Lung Carcinoma Demonstrates Differentially Abundant Lipid Classes In Cancer Vs. Non-Cancer Tissue, Joshua M. Mitchell, Robert M. Flight, Hunter N. B. Moseley
Molecular and Cellular Biochemistry Faculty Publications
Lung cancer remains the leading cause of cancer death worldwide and non-small cell lung carcinoma (NSCLC) represents 85% of newly diagnosed lung cancers. In this study, we utilized our untargeted assignment tool Small Molecule Isotope Resolved Formula Enumerator (SMIRFE) and ultra-high-resolution Fourier transform mass spectrometry to examine lipid profile differences between paired cancerous and non-cancerous lung tissue samples from 86 patients with suspected stage I or IIA primary NSCLC. Correlation and co-occurrence analysis revealed significant lipid profile differences between cancer and non-cancer samples. Further analysis of machine-learned lipid categories for the differentially abundant molecular formulas identified a high abundance sterol ...
Improved Radiation Expression Profiling In Blood By Sequential Application Of Sensitive And Specific Gene Signatures, Eliseos J. Mucaki, Ben C. Shirley, Peter K. Rogan
Purpose. Combinations of expressed genes can discriminate radiation-exposed from normal control blood samples by machine learning based signatures (with 8 to 20% misclassification rates). These signatures can quantify therapeutically-relevant as well as accidental radiation exposures. The prodromal symptoms of Acute Radiation Syndrome (ARS) overlap those present in Influenza and Dengue Fever infections. Surprisingly, these human radiation signatures misclassified gene expression profiles of virally infected samples as false positive exposures. The present study investigates these and other confounders, and then mitigates their impact on signature accuracy.
Methods. This study investigated recall by previous and novel radiation signatures independently derived from multiple ...
Monitoring Mammals At Multiple Scales: Case Studies From Carnivore Communities, 2021 University of Massachusetts Amherst
Monitoring Mammals At Multiple Scales: Case Studies From Carnivore Communities, Kadambari Devarajan
Carnivores are distributed widely and threatened by habitat loss, poaching, climate change, and disease. They are considered integral to ecosystem function through their direct and indirect interactions with species at different trophic levels. Given the importance of carnivores, it is of high conservation priority to understand the processes driving carnivore assemblages in different systems. It is thus essential to determine the abiotic and biotic drivers of carnivore community composition at different spatial scales and address the following questions: (i) What factors influence carnivore community composition and diversity? (ii) How do the factors influencing carnivore communities vary across spatial and temporal ...
Discovering Mechanisms Driving Adaptive Evolution In The Cross-Kingdom Fungal Pathogen Fusarium Oxysporum, 2021 University of Massachusetts Amherst
Discovering Mechanisms Driving Adaptive Evolution In The Cross-Kingdom Fungal Pathogen Fusarium Oxysporum, Dilay Hazal Ayhan
Fusarium oxysporum is a cross-kingdom pathogenic fungus that can cause vascular wilt disease in many economically important plants and local or disseminated infections in humans. Although it lacks a sexual stage in its life cycle, F. oxysporum can adapt to a wide range of hosts because of accessory chromosomes (ACs) which are enriched in host-specific genes and repeat content. This dissertation investigates the mechanisms that drive the adaptive evolution in the cross-kingdom pathogen F. oxysporum using comparative genomics and an experimental evolution approach. The first chapter compares phenotypes and genomes of a plant pathogenic isolate F. oxysporum f. sp. lycopersici ...
Determining The Primary Dna Substrates Of Shld2'S Ob-Fold Domains, 2021 University of Connecticut - Storrs
Determining The Primary Dna Substrates Of Shld2'S Ob-Fold Domains, Hari Patchigolla
Holster Scholar Projects
Failure to repair DNA double-stranded breaks leads to cell death. Radiation therapy is commonly used to kill cancer cells by inducing these breaks. However resistance to radiation therapy, due to a hyperactive DNA double-stranded break repair pathway, is a common occurrence that makes cancer patients more prone to relapse. The Shieldin complex is shown to promote DNA-double stranded break repair by binding to DNA at sites of damage. Thus, the objective of this project is to understand the affinity and type of DNA that Shieldin binds to, through gel-shift assays, for the eventual creation of an inhibitor for this protein ...
Covid-19 In Silico Drug With Zingiber Officinale Natural Product Compound Library Targeting The Mpro Protein, 2021 Department of Bioinformatics, School of Life Sciences, Indonesia International Institute for Life Sciences (i3L), Jakarta 13210, Indonesia
Covid-19 In Silico Drug With Zingiber Officinale Natural Product Compound Library Targeting The Mpro Protein, Renadya Maulani Wijaya, Muhammad Aldino Hafidzhah, Viol Dhea Kharisma, Arif Nur Muhammad Ansori, Arli Aditya Parikesit
Makara Journal of Science
Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a worldwide pandemic. Ginger (Zingiber officinale) is a rhizome, which is commonly used for culinary and medicinal purposes. In Indonesia, ginger is taken as traditional medicine by processing it into a drink known as jamu. The present study aimed to assess and evaluate the bioactive compounds in ginger that can be used in drug design for treating COVID-19. The crystal structure of the SARS-CoV-2 main protease (Mpro) was generated from a protein sequence database, i.e., Protein Data Bank, and the bioactive ...
Identifying Inhibitors Targeting The Nonstructural Protein 15 And Main Protease Of Coronaviruses Using Molecular Docking And Molecular Dynamics Simulation, Nakoa Kristen Webber
Theses and Dissertations
The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 2020 has impacted daily life globally for over a year. While multiple vaccines have been authorized for emergency use and one oral medication has entered clinical trials, we are still seeking antiviral drugs for a long-term treatment for SARS-CoV-2 as well as other coronaviruses. Computational drug screenings of two SARS-CoV-2 protein target candidates are presented in this thesis: the nidoviral RNA uridylate-specific endoribonuclease (Nsp15) and the main protease (Mpro) of SARS-CoV-2. Nonstructural proteins of coronaviruses were selected as targets as they are more conserved across coronavirus strains than ...
Real-World Evaluation Of Universal Germline Screening For Cancer Treatment-Relevant Pharmacogenes, 2021 University of Kentucky
Real-World Evaluation Of Universal Germline Screening For Cancer Treatment-Relevant Pharmacogenes, Megan L. Hutchcraft, Nan Lin, Shulin Zhang, Catherine Sears, Kyle Zacholski, Elizabeth A. Belcher, Eric B. Durbin, John L. Villano, Michael J. Cavnar, Susanne M. Arnold, Frederick R. Ueland, Jill M. Kolesar
Pathology and Laboratory Medicine Faculty Publications
The purpose of this study was to determine the frequency of clinically actionable treatment-relevant germline pharmacogenomic variants in patients with cancer and assess the real-world clinical utility of universal screening using whole-exome sequencing in this population. Cancer patients underwent research-grade germline whole-exome sequencing as a component of sequencing for somatic variants. Analysis in a clinical bioinformatics pipeline identified clinically actionable pharmacogenomic variants. Clinical Pharmacogenetics Implementation Consortium guidelines defined clinical actionability. We assessed clinical utility by reviewing electronic health records to determine the frequency of patients receiving pharmacogenomically actionable anti-cancer agents and associated outcomes. This observational study evaluated 291 patients with ...
Random Forest-Integrated Analysis In Ad And Late Brain Transcriptome-Wide Data To Identify Disease-Specific Gene Expression, Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng
Sanders-Brown Center on Aging Faculty Publications
Alzheimer's disease (AD) is a complex neurodegenerative disorder that affects thinking, memory, and behavior. Limbic-predominant age-related TDP-43 encephalopathy (LATE) is a recently identified common neurodegenerative disease that mimics the clinical symptoms of AD. The development of drugs to prevent or treat these neurodegenerative diseases has been slow, partly because the genes associated with these diseases are incompletely understood. A notable hindrance from data analysis perspective is that, usually, the clinical samples for patients and controls are highly imbalanced, thus rendering it challenging to apply most existing machine learning algorithms to directly analyze such datasets. Meeting this data analysis challenge ...
Bone Quality And Fractures In Women With Osteoporosis Treated With Bisphosphonates For 1 To 14 Years, 2021 University of Kentucky
Bone Quality And Fractures In Women With Osteoporosis Treated With Bisphosphonates For 1 To 14 Years, Hartmut H. Malluche, Jin Chen, Florence Lima, Lucas J. Liu, Marie-Claude Monier-Faugere, David A. Pienkowski
Internal Medicine Faculty Publications
Oral bisphosphonates are the primary medication for osteoporosis, but concerns exist regarding potential bone-quality changes or low-energy fractures. This cross-sectional study used artificial intelligence methods to analyze relationships among bisphosphonate treatment duration, a wide variety of bone-quality parameters, and low-energy fractures. Fourier transform infrared spectroscopy and histomorphometry quantified bone-quality parameters in 67 osteoporotic women treated with oral bisphosphonates for 1 to 14 years. Artificial intelligence methods established two models relating bisphosphonate treatment duration to bone-quality changes and to low-energy clinical fractures. The model relating bisphosphonate treatment duration to bone quality demonstrated optimal performance when treatment durations of 1 to 8 ...
Phenotype Bias Determines How Natural Rna Structures Occupy The Morphospace Of All Possible Shapes, 2021 Gulf University for Science and Technology, Kuwait
Phenotype Bias Determines How Natural Rna Structures Occupy The Morphospace Of All Possible Shapes, Fatme Ghaddar, Dr Kamaludin Dingle, Dr Petr Sulc, Prof Ard A. Louis
Undergraduate Research Symposium
The relative prominence of developmental bias versus natural selection is a long standing controversy in evolutionary biology. Here we demonstrate quantitatively that developmental bias is the primary explanation for the occupation of the morphospace of RNA secondary structure (SS) shapes. By using the RNAshapes method to define coarse-grained SS classes, we can measure the frequencies that non-coding RNA SS shapes appear in nature. Our main findings are firstly that only the most frequent structures appear in nature; the vast majority of possible structures in the morphospace have not yet been explored. Secondly, and perhaps more surprisingly, these frequencies are accurately ...
Don't Sell Them Short, There's More To Bacterial Natural Products Than Antibiotics, 2021 The Graduate Center, City University of New York
Don't Sell Them Short, There's More To Bacterial Natural Products Than Antibiotics, Alison Clare Domzalski
Dissertations, Theses, and Capstone Projects
Recent genomic studies of microbiomes have revealed an overwhelming number of biosynthetic genes of unknown function. Most of these “cryptic” biosynthetic genes are not expressed in laboratory monocultures of individual microbes. Thus, there remains tremendous untapped potential for natural products discovery. Here we employ mixed microbial culture (MMC) as a simple yet powerful approach to awaken cryptic biosynthetic gene clusters. Our preliminary studies demonstrated that arrays of metabolites could be induced in MMCs upon environmental cues, such as surface adhesion. Using this system, we have screened, identified, and isolated bioactive bacterial metabolites, which were characterized structurally and biologically. Of the ...
In Silico Identification Of A Streptococcus Phage From An Unpasteurized Dairy Product, 2021 Kennesaw State University
In Silico Identification Of A Streptococcus Phage From An Unpasteurized Dairy Product
Symposium of Student Scholars
This study aimed to identify novel phages from a West African dairy product, nunu, to better understand the uncharacterized virosphere of a food microbiome. Nunu is a yogurt-like product from spontaneous fermentation of unpasteurized cow milk without a standardized starter culture. Phages and their bacterial hosts make up a microbiome, where their collective metagenome can be studied in silico, or computationally, after next generation sequencing (NGS). The targeted dataset for our study can be found in the Sequence Read Archives under the accession number of ERX2041567. This study utilized several bioinformatics software tools with customized settings: Kraken2, MetaVelvet, Edena, NCBI-BLAST ...
In Silico Isolation Of A Novel Phage For Food Safety Applications Against Pathogenic E. Coli, 2021 Kennesaw State University
In Silico Isolation Of A Novel Phage For Food Safety Applications Against Pathogenic E. Coli, Daisy Mcgrath
Symposium of Student Scholars
With the advent of next-generation sequencing (NGS) on metagenomes, the elucidation of all genetic material from microbiomes has prompted a renewed interest towards uncultivated members of the virosphere. We describe the discovery of a novel phage from a metagenomic dataset on the West African fermented dairy product, nunu, with a custom bioinformatics workflow to potentially serve as a biocontrol agent against pathogenic E. coli. Initial dataset of ERR2014814 from NCBI was first subjected to Kraken2 to extract novel sequencing reads for further de novo assembly into contigs by MetaVelvet. Resultant contigs served as potential partial phage genomes, then searched against ...
The Evolutionary Origins Of Autism Associated Genes And Their Role In Great Ape Socio-Communication, 2021 Kennesaw State University
The Evolutionary Origins Of Autism Associated Genes And Their Role In Great Ape Socio-Communication, Azeeza Abdulrauf, Martin Hudson, Susan M.E. Smith, Jared P. Taglialatela
Symposium of Student Scholars
Single nucleotide polymorphisms (SNPs) play a major role in socio-communicative behavior. For this study, the focus is on autism associated OXTR, AVPR1A, and FOXP2 SNPs, and the role they play in great apes. Prior research on the OXTR, AVPR1A, and FOXP2 SNPs show that they affect behavior skills such as understanding and controlling emotion, understanding the emotions of others, and communications skills. Great apes, such as bonobos, chimpanzees, and gorillas are the model, since they are our closest relatives in the animal kingdom capable of understanding complex communication. Each gene has at least two SNPS that are investigated in the ...
Insights Into Halophilic Microbial Adaptation: Analysis Of Integrons And Associated Genomic Structures And Characterization Of A Nitrilase In Hypersaline Environments, 2021 American University in Cairo
Insights Into Halophilic Microbial Adaptation: Analysis Of Integrons And Associated Genomic Structures And Characterization Of A Nitrilase In Hypersaline Environments, Sarah Sonbol
Theses and Dissertations
Hypersaline environments are extreme habitats that can be exploited as biotechnological resources. Here, we characterized a nitrilase (NitraS-ATII) isolated from Atlantis II Deep brine pool. It showed higher thermal stability and heavy metal tolerance compared to a closely related nitrilase.
We also studied integrons in halophiles and hypersaline environments. Integrons are genetic platforms in which an integron integrase (IntI) mediates the excision and integration of gene cassettes at specific recombination sites. In order to search for integrons in halophiles and hypersaline metagenomes, we used a PCR-based approach, in addition to different bioinformatics tools, mainly IntegronFinder.
We found that integrons and ...