Bioinformatics Commons^™

Mutation-Induced Changes In The Stability, B-Cell Epitope, And Antigenicity Of The Sars-Cov-2 Variant Spike Protein: A Comparative Computational Stud, Nira Meirita Wijayanti, Muhammad Hermawan Widyananda, Lailil Muflikhah, Nashi Widodo

Karbala International Journal of Modern Science

The spike (S) protein is a major antigenicity site that targets neutralizing antibodies and drugs. The growing number of S protein mutations has become a severe problem for developing effective vaccines. Here, we investigated four severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants that were the most infectious and widespread during the COVID-19 pandemic to determine the trends and patterns of mutation-induced changes in the stability, B-cell epitope, and antigenicity of the SARS-CoV-2 S protein. The data showed that the Beta and Gamma variants had three mutations on the receptor-binding domain (RBD), which is the specific site on the S …

Comparative Analysis Of Data Mining Techniques For Heart Disease Prediction: A Focus On Neural Networks And Decision Trees, Suman Kumari Panigrahi, Abantika Roy, Gargi Balabantaray, Karishma Rana

International Journal of Computer and Communication Technology

Heart disease is a general term used to describe numerous medical conditions that directly affect the heart and its various components. It is a prevalent health concern in modern times. The focus of this paper is to evaluate different data mining techniques for the prediction of heart disease, which have been introduced in recent years. The findings indicate that neural networks using 15 attributes demonstrate the best performance among all other data mining techniques. Additionally, the analysis concludes that decision trees, with the assistance of genetic algorithms and feature subset selection, also exhibit high accuracy. The study concludes that data …

Examining The Different Soil Horizons Of White Oak Mountain, Tn And Their Effect On The Soil Microbial Community, Ji Won Moon, Timothy D. Trott

Research in Biology

Soil microorganisms participate in the diverse interaction within virtually all ecosystems, consequently affecting the associated human and animal population. Identifying how edaphic variables alter the functional and taxonomic diversity of the soil microbial community requires an examination of total microbial soil diversity and abundance. This research study examined the effect of soil depth and horizon on the soil microbial community composition of White Oak Mountain. The soil microbial community was characterized by 16S/18S/ITS rDNA amplicon sequencing of the DNA extract of six samples from the three major soil types identified: HcE, MoE, and uMvC. OTU clustering analysis and both alpha …

The Impact Of Soil Disturbance On Soil Bacterial Community Composition, Marie A. Rodriguez, Mark Peach, Timothy D. Trott

Research in Biology

Soil bacterial communities are an important part of terrestrial ecosystems due to their roles in biogeochemical cycling processes. Consequently, understanding how soil disturbance affects the soil bacterial diversity is vital to understanding the entire ecosystem. In this study we examined the effects of soil disturbance (by mining) on the soil bacterial community composition from three sites on Bauxite Ridge in Southeast Tennessee compared to three undisturbed sites in a nearby location. The soil bacterial community was analyzed by 16S rDNA amplicon sequencing of total DNA extracted from the soil samples collected from each of the six sites. Characterization of the …

Computational Analysis Of Antibody Binding Mechanisms To The Omicron Rbd Of Sars-Cov-2 Spike Protein: Identification Of Epitopes And Hotspots For Developing Effective Therapeutic Strategies, Mohammed Alshahrani

Computational and Data Sciences (PhD) Dissertations

The advent of the Omicron strain of SARS-CoV-2 has elicited apprehension regarding its potential influence on the effectiveness of current vaccines and antibody treatments. The present investigation involved the implementation of mutational scanning analyses to examine the impact of Omicron mutations on the binding affinity of four categories of antibodies that target the Omicron receptor binding domain (RBD) of the Spike protein. The study demonstrates that the Omicron variant harbors 23 unique mutations across the RBD regions I, II, III, and IV. Of these mutations, seven are shared between RBD regions I and II, while three are shared among RBD …

Annotation Of Non-Model Species’ Genomes, Taiya Jarva

Master's Theses

The innovations in high throughput sequencing technologies in recent decades has allowed unprecedented examination and characterization of the genetic make-up of both model and non-model species, which has led to a surge in the use of genomics in fields which were previously considered unfeasible. These advances have greatly expanded the realm of possibilities in the fields of ecology and conservation. It is now possible to the identification of large cohorts of genetic markers, including single nucleotide polymorphisms (SNPs) and larger structural variants, as well as signatures of selection and local adaptation. Markers can be used to identify species, define population …

Serum Metabolomic Profiling For Colorectal Cancer Using Machine Learning, Ria Nur Puspa Sari, Diah Balqis Ikfi Hidayati, Arleni Bustami

Indonesian Journal of Medical Chemistry and Bioinformatics

Background: Colorectal cancer is one of the deadliest diseases with a high prevalence worldwide and is characterized by the appearance of adenomatous polyps in the colon mucosa which are at high risk of developing into colorectal cancer. This study aims to use serum metabolites as promising non-invasive biomarkers for colorectal cancer detection and prognostication. Differences in serum metabolites in patients with adenomatous polyps, colorectal cancer, and healthy controls are considered to be able to support the prognosis of colorectal cancer. Methods: Metabolite dataset is taken from the Metabolomic Workbench. Analysis and validation are carried out in silico using machine learning …

Exploring The Interactions Between Sars-Cov-2 And Host Proteins., Sojan Shrestha

Dissertations and Theses in Biological Sciences

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the current pandemic, Coronavirus Disease 2019 (COVID-19). SARS-CoV-2 is considered to be of zoonotic origin; it originated in non-human animals and was transmitted to humans. Since the early stage of the pandemic, however, the evidence of transmissions from humans to animals (reverse zoonoses) has been found in multiple animal species including mink, white-tailed deer, and pet and zoo animals. Furthermore, secondary zoonotic events of SARS-CoV-2, transmissions from animals to humans, have been also reported. It is suggested that non-human hosts can act as SARS-CoV-2 reservoirs where accumulated …

Ranchsatdb: A Genome-Wide Simple Sequence Repeat (Ssr) Markers Database Of Livestock Species For Mutant Germplasm Characterization And Improving Farm Animal Health, Naveen Duhan, Simardeep Kaur, Rakesh Kaundal

Plants, Soils and Climate Student Research

Microsatellites, also known as simple sequence repeats (SSRs), are polymorphic loci that play an important role in genome research, animal breeding, and disease control. Ranch animals are important components of agricultural landscape. The ranch animal SSR database, ranchSATdb, is a web resource which contains 15,520,263 putative SSR markers. This database provides a comprehensive tool for performing end-to-end marker selection, from SSRs prediction to generating marker primers and their cross-species feasibility, visualization of the resulting markers, and finding similarities between the genomic repeat sequences all in one place without the need to switch between other resources. The user-friendly online interface …

Differences In Plant Hormone Responses Between Arabidopsis Thaliana And Schrenkiella Parvula Facing Lithium Toxicities, Jifeng Li

LSU Doctoral Dissertations

Investigating stress responses in plants is central to plant development studies and crop research. Identifying mechanisms of plant abiotic stress tolerance and adaptation will be keys to relieve the conflict between an increasing global population and declining agronomic land. Studies on extremophytes and their genetic responses to environmental stress are a way to help understand how and why these extremophile plants can develop well under extreme environments including high salinity and heavy metal toxicity. The studies herein first focus on comparative responses at the genetic level to lithium toxicity between Arabidopsis thaliana and Schrenkiella parvula. Based on elemental quantification …

Cellulosome-Forming Modules In Gut Microbiome And Virome, Jerry Akresi

Dissertations, Theses, & Student Research in Food Science and Technology

Cellulosomes are large multi-enzyme complexes encoded in the genomes of some microorganisms. Cellulosomes can degrade plant cell wall celluloses, commonly found in compost soils, forest floors and dietary fibers of farm animals. The hallmarks of cellulosome complexes are cohesins that form a large scaffoldin protein and dockerins that interact with cohesin to dock enzymes onto the scaffoldin. The dockerin-containing proteins often contain Carbohydrate Active Enzymes (CAZyme) domains, predominantly the cellulases (e.g., GH48 and GH9 enzymes), which enable them to break down celluloses. A fascinating question is, has Nature also evolved other similar protein complexes that target other types of complex …

Exploration Of The Immune Landscape Of Ebv-Associated Gastric Cancers, Mikhail Salnikov

Electronic Thesis and Dissertation Repository

Epstein–Barr virus (EBV) is a gammaherpesvirus associated with 9% of all gastric cancers (GCs). EBV-associated GCs (EBVaGCs) are pathologically and clinically distinct entities from EBV-negative GCs (EBVnGCs), with EBVaGCs exhibiting differential molecular pathology and patient prognosis. The purpose of this thesis is to investigate the tumor microenvironment (TME) of EBVaGCs, which has not been explored in-depth. We hypothesize that EBVaGCs and EBVnGCs are also distinct in terms of the molecular immune landscape. We employed over 400 stomach adenocarcinoma (STAD) samples from The Cancer Genome Atlas (TCGA), as well as a single cell dataset, for the construction of a web suite …

Development Of A 16s Reference Library For Edna Metabarcoding The Freshwater Fishes Of Western Ecuador., Hannah M. Willis, Olivia G. Schweikart, Windsor E. Aguirre

DePaul Discoveries

This project examines the use of the 16S locus to amplify neotropical freshwater fishes native to Western Ecuador in a newly created 16S reference library for DNA barcoding and eDNA metabarcoding applications. Among the orders Characiformes, Siluriformes, Cichliformes, Gobiiformes, Cryprinodontiformes, Gymnotiformes, and Perciformes, a compendium of 105 specimens were sequenced, with 43 representing new 16S sequences previously unavailable on Genbank.

Cytotoxic Activity Of Salvia Officinalis Extract Mediated By The Inhibition Of Jak2 In Breast Cancer, Salma Alawadi Dawood

Theses and Dissertations

Background: Breast cancer is the most common type of invasive cancer in women in their forties and fifties. Recent evidence suggests that JAK2/STAT3 signaling is constitutively active in breast cancer. Previous studies suggest that plant extracts, including Salvia Officinalis, have strong cytotoxic effects on breast cancer cells. The differential expression of miRNAs is also strongly linked to cancer development.

Aim: In the current study, we hypothesize that S. Officinalis extract suppresses JAK2 expression and has strong anticancer potential in MCF7 breast cancer cell lines.

Methods: GC-MS analysis showed the presence of flavonoids in dried leaf of …

Association Of Gut Microbiota Composition With Alzheimer’S-Like Disease In A Rat Model, Hana Heiba

Theses and Dissertations

With many countries turning ‘grey’ and facing an issue with aging populations, the risk of developing one form of neurodegenerative disease is increasing. Dementia, being the most common syndrome resulting from neurodegeneration, severely affects memory and cognitive functions. Alzheimer’s disease (AD) is the most common neurodegenerative disorder, with an estimated 615,000 new cases will be added to the existing 5.7 million by 2030 (Alkasir et al., 2017).

In the current study, we establish a sporadic AD-like rat model by injecting STZ intracerebrally. Stool samples were collected at two time points; after three weeks for the acute stage, and 3 months …

Illuminating The Drivers Of Genomic Diversification In Lamprologine Cichlids Of The Lower Congo River, Naoko P. Kurata

Dissertations, Theses, and Capstone Projects

Freshwater fishes are extraordinarily diverse, considering their available habitats represent a tiny proportion of the earth’s surface. Rivers connect heterogeneous habitats in a linear form and provide excellent simplified models to understand how aquatic biodiversity evolves. In particular, the lower Congo River (LCR) in west Central Africa consists of a dynamic hydroscape exhibiting extraordinary aquatic biodiversity, endemicity, and morphological and ecological specialization. This system is thus an excellent natural laboratory for understanding complex speciation and population diversification processes. In my research, I explore various drivers of diversification, and adaptive evolution in rheophilic lamprologine cichlids endemic to the LCR, including Lamprologus …

Mechanistic Examination Of Protist-Mediated Plant Growth Through The Comparative Development Of Medicago Truncatula, Shane Connolly

University Scholar Projects

Protists are known to increase plant growth through two main mechanisms: the microbial loop and the alteration of the root microbiome. The microbial loop is a nutrient recycling method in which protists provide inorganic nitrogen ions to the plant. Alteration of root microbiome leads to the removal of plant pathogens and shifting communities towards plant growth-promoting bacteria (PGPB). This study aimed to elicit which mechanism could produce the largest boost in shoot weight for Medicago truncatula. A series of microcosm experiments were explored in which M. truncatula was grown with variable microbiome structures to allow for mechanism differentiation. The …

Comparative Analysis Of The Effects Of Actual Versus Assumed Opioid Experience On The Regulation Of Ventral Striatal Opioid Receptor Gene Expression, Indu Mithra Madhuranthakam, Martin Job

Stratford Campus Research Day

Rationale: We conducted experiments to assess the effect of prior opioid experience on gene expression changes. We compared the current experimenter-imposed short versus extended-access conditions of opioid self-administration and developed a new quantitative method to determine their effectiveness in identifying the role of opioid experience in regulating opioid receptor expression levels in the ventral striatum (VS) using an oxycodone self-administration/abstinence model.

Methods: In this study, male Sprague-Dawley rats (n=36) were trained for 20 days to self-administer oxycodone at 0.1 mg/kg/infusion under short access (n=15, or saline as controls n=3, for 3h/day) or extended access (n=15, or saline as controls n=3, …

Exploring The Role Of Microrna-1 (Mir-1) On Skeletal Muscle Hypertrophy, Shengyi Fei

Public Access Theses, Dissertations, and Student Research from the College of Education and Human Sciences

Skeletal muscle hypertrophy is a complex process that involves a range of signaling pathways and transcriptional regulators. Many hormones and growth factors can activate key signaling pathways, such as the PI3K/AKT/mTOR, MAPK, and cAMP pathways, which play a crucial role in the regulation of muscle hypertrophy. In Chapter 1, we reviewed some of the hormones and growth factors known to be associated with skeletal muscle hypertrophy, as well as the function of these key signaling pathways, and revealed some unresolved issues. In Chapter 2, we explored the role of microRNA-1 (miR-1) in skeletal muscle hypertrophy and aimed to determine the …

Computational Analysis Of Microbial Sequence Data Using Statistics And Machine Learning, Zhixiu Lu

Doctoral Dissertations

Since the discovery of the double helix of DNA in 1953, modern molecular biology has opened the door to a better understanding of how genes control chemical processes within cells, including protein synthesis. Although we are still far from claiming a complete understanding, recent advances in sequencing technologies, increased computational capacity, and more sophisticated computational methods have allowed the development of various new applications that provide further insight into DNA sequence data and how the information they encode impacts living organisms and their environment. Sequencing data can now be used to start identifying the relationships between microorganisms, where they live, …