Bioinformatics Commons^™

Protein-Protein Interactions In Cell Cycle Proteins: An In Silico Investigation Of Two Important Players, Andriele Eichner

Dissertations, Theses, and Capstone Projects

The examination of the cell cycle carries significant implications for the biology, health, and overall existence of all living things. These implications span from the development and growth of these organisms to the aging process and cancer, as well as the potential of stem cell therapies to repair diseases and injuries. Numerous proteins of the cell cycle are essential for cellular division and proliferation and are widely conserved over the course of evolution. In this work, we aimed to investigate the molecular processes of protein-protein interactions in cell cycle proteins, centering on two key players: Cdc6 in budding yeast and …

Dna Methylation-Based Epigenetic Biomarkers In Cell-Type Deconvolution And Tumor Tissue Of Origin Identification, Ze Zhang

Dartmouth College Ph.D Dissertations

DNA methylation is an epigenetic modification that regulates gene expression and is essential to establishing and preserving cellular identity. Genome-wide DNA methylation arrays provide a standardized and cost-effective approach to measuring DNA methylation. When combined with a cell-type reference library, DNA methylation measures allow the assessment of underlying cell-type proportions in heterogeneous mixtures. This approach, known as DNA methylation deconvolution or methylation cytometry, offers a standardized and cost-effective method for evaluating cell-type proportions. While this approach has succeeded in discerning cell types in various human tissues like blood, brain, tumors, skin, breast, and buccal swabs, the existing methods have major …

Precise Method To Identify Kinase Drug Targets In Complex Diseases: The First Step Towards Sustainable And Effective Treatment, Hasbanny Irisson, Marzieh Ayati

Research Symposium

Background: Kinases are enzymes that have proven to be important drug targets due to their role in critical biological mechanisms such as phosphorylation. Phosphorylation happens when a kinase catalyzes the transfer of a phosphate group to a protein in a phosphorylated site, which then becomes known as the substrate of the kinase. Any dysregulation of protein phosphorylation causes a wide range of complex diseases including cancer. Thus, discovering the links between kinases and their substrates (i.e. predicting kinase-substrate associations (KSAs)) is crucial in developing effective and sustainable treatments. Presently, less than 5% of phosphorylated sites have an associated kinase, and …

A Review Of How Bioinformatics And Genome Sequencing Are Affecting Precision Medicine, Taylor S. Hickey

Honors Theses

Advancement in genomic sequencing and bioinformatics methods have been affecting biomedical research through precision medicine, especially in the area of cancer. Vaccine therapies can be developed using neoantigens that target specific mutations in tumors. The goals of this research are to identify mutations that lead to cancer and then define subpopulations in which patients can easily be identified. The future goal is to have targeted vaccines that are specific to each subpopulation ready to be used in treatment of their cancer. Limitations to reaching these goals have been due to tumor heterogeneity, cancer location, and difficulty in creating neoantigens for …

Biomarker Metabolite Discovery For Pancreatic Cancer Using Machine Learning, Immanuelle Kezia, Linda Erlina, Aryo Tedjo, Fadilah Fadilah

Indonesian Journal of Medical Chemistry and Bioinformatics

Pancreatic cancer is one of the deadliest cancers in the world. This cancer is caused by multiple factors and mostly detected at late stadium. Biomarker is a marker that can identify some diseases very specific. For pancreatic cancer, biomarker has been recognized using blood sample known as liquid biopsy, breath, pancreatic secret, and tumor marker CA19-9. Those biomarkers are invasive, so we want to identify the disease using a very convenient method. Metabolite is product from cell metabolism. Metabolites can become a biomarker especially from difficult diseases. In this paper, we want to find biomarker from metabolite using machine learning …

Cancer/Testis Gene Expression Changes In Metastatic Cancer, Clara M. Mosentine

Dissertations, Master's Theses and Master's Reports

Metastasis is the movement of cancerous cells to new parts of the body, often through the blood or lymph systems. Metastasis is classified as stage IV cancer, a prognosis that is significantly more difficult to effectively treat compared to earlier cancer stages. We are interested in assessing whether expression of Cancer/testis (CT) genes, a class of genes that are predominantly expressed in germ cells while also being abnormally expressed in a large percentage of cancers, is associated with cancer metastasis. Germ cells make up an organism’s reproductive system, such as the testis and ovaries, and exhibit cellular immortality and, in …

Genetic And Pharmacogenetics Associations Of Cancer Disparities In Appalachia, Nan Lin

Theses and Dissertations--Pharmacy

Individuals residing in Appalachian regions have significant health disparities, including higher cancer incidence and mortality rates. Previous studies have addressed the impact of socioeconomic status and environmental risk factors on Appalachia cancer disparities, while few studies have evaluated genetic risk factors.

Germline whole exome sequencing samples from 7,078 individuals with cancer (759 Appalachians) were evaluated. Demographics and relatedness were assessed using KING. Ethnicity was verified by principal component analysis using TRACE, which included 6,034 individuals (85%) of European genetic ancestry. After QC filtering, 5,980 individuals were analyzed. To assess the overall predisposition of hereditary disease, gene level frequency of likely …

Identification Of Novel Biosynthetic Gene Clusters Encoding For Polyketide/Nrps-Producing Chemotherapeutic Compounds From Marine-Derived Streptomyces Hygroscopicus From A Marine Sanctuary, Hannah Ruth Flaherty

Honors Theses and Capstones

Nearly one out of six deaths in 2020, around ten million people, were caused by cancer, making it a leading cause of death worldwide (WHO, 2022). This major public health issue, in addition to the rise of multidrug-resistant (MDR) pathogens, provides a high demand for the discovery of new pharmaceutical drugs to be used clinically to treat these conditions. The Streptomyces genus accounts to produce 39% of all microbial metabolites currently approved for human health, indicating its potential as an important species to study for antimicrobial and anticancer agents. The long linear genome of Streptomyces contains specialized sequences known as …

The Genetics Of Skin Cancer: What Genes Drive The Development Of Basal Cell Carcinoma, Squamous Cell Carcinoma, And Melanoma?, Cassandra Poole, Abagail Pack, Elizabeth Whitehead, Virginia Marshall

Spring Showcase for Research and Creative Inquiry

Skin cancer is one of the most common forms of cancer worldwide. The American Academy of Dermatology estimates that 9500 people in the United States are diagnosed with skin cancer every day, and that 1 in 5 Americans will be diagnosed with skin cancer by age 70. With such a high prevalence of disease, understanding how skin cancer develops and how it can be treated is extremely important. This project aims to analyze the genes involved in the development of the three most common forms of skin cancer: basal cell carcinoma, squamous cell carcinoma, and melanoma.

In Silico Screening Of Violacein As An Epidermal Growth Factor Receptor Inhibitor, Smitha S Bhat, Sindhu R, Shashanka K Prasad

International Journal of Health and Allied Sciences

EGFR is a key player in the signalling cascades of various kinds of cancers and tyrosine kinase inhibitors block EGFR signalling. Natural products have long been used as candidates for therapy in the management of cancer. Violacein, a bacterial pigment, has been known for its numerous biological applications such as antimicrobial, antileishmanial, antiviral, as well as antitumoral. Computational studies have concluded that it may have activity against cancers like pancreatic cancer, thyroid cancer, colorectal cancer, and endometrial cancer indicating its potential application as a broad range of anti-cancerous drug. This study aimed to perform the molecular docking of violacein with …

The Roles Of Epithelial–Mesenchymal Plasticity In Tumor Heterogeneity, Metastasis, And Patient Survival In Breast Cancer, Meredith Septer Brown

Dartmouth College Ph.D Dissertations

The Epithelial-to-Mesenchymal transition, a critical cellular process in development, is frequently co-opted by solid tumors to promote invasion and metastasis. In particular, the hybrid or intermediate EMT state, possessing both epithelial and mesenchymal characteristics, is associated with increased cancer stemness and plasticity. Similarly, intra-tumoral heterogeneity in solid tumors, in particular breast cancer, is associated with poor prognosis, tumor growth, proliferation, drug resistance, and metastasis. We sought to understand the link between the generation of intra-tumoral heterogeneity and the intermediate EMT state and their impact on tumor progression and patient prognosis. As part of my thesis work, I developed a model …

Host-Pathogen Coevolution Between Tasmanian Devils (Sarcophilus Harrisii) And Devil Facial Tumor Disease, Dylan Garret Gallinson

USF Tampa Graduate Theses and Dissertations

Coevolution is a driving force of rapid evolution, yet the complexity of coevolutionary interactions has made it difficult to characterize the genomic basis of traits mediating such relationships. Coevolutionary dynamics are especially important in host-pathogen systems where the host and pathogen must constantly adapt to one another. The Tasmanian devil and its species-specific transmissible cancer, devil facial tumor disease (DFTD), provide the rare opportunity to study host-pathogen coevolution in a complex natural system. Extensive spatiotemporal devil sampling, high linkage disequilibrium in devils, and a large selective pressure imposed by DFTD facilitate a system tractable for study. Here, we characterized devil …

A Machine Learning Framework For Identifying Molecular Biomarkers From Transcriptomic Cancer Data, Md Abdullah Al Mamun

FIU Electronic Theses and Dissertations

Cancer is a complex molecular process due to abnormal changes in the genome, such as mutation and copy number variation, and epigenetic aberrations such as dysregulations of long non-coding RNA (lncRNA). These abnormal changes are reflected in transcriptome by turning oncogenes on and tumor suppressor genes off, which are considered cancer biomarkers.

However, transcriptomic data is high dimensional, and finding the best subset of genes (features) related to causing cancer is computationally challenging and expensive. Thus, developing a feature selection framework to discover molecular biomarkers for cancer is critical.

Traditional approaches for biomarker discovery calculate the fold change for each …

Eeg As Successful Diagnostic Tool For Immune Effector Cell Associated Neurotoxicity Syndrome, Daniel Jones, Christine Eckhardt, Haoqi Sun, Ryan Tesh, Brandon Westover

Library/Life Sciences Undergraduate Poster Competition 2022

CAR T cell therapy was first proven effective in 2013¹ for the treatment of certain cancer s . However, its widespread adoption is still hindered by side effects like immune effector cell associated neurotoxicity syndrome (ICANS). Current research aims to better predict, diagnose, and treat ICANS so that CAR T cell therapy can be more widely applied. Although prior studies have attempted to identify an objective biomarker of ICANS² , current practice relies on clinical assessment to diagnose ICANS. We hypothesize that qualitative features of the EEG may be utilized to develop a physiological grading system of the …

Toxicity Of Indoor Dust-Derived Trace Elements And Organic Contaminants Impact On Normal Human Colon Epithelial Cells, Noura Abdulrahman

Theses (2016-Present)

Indoor dust stands out as a burgeoning challenge in society due to its implication on people’s health. Exposure to toxic dust particles occurs in different ways that include inhalation, ingestion, and dermal contact. In the hindsight, many people spend most of their time indoors exposing themselves to high levels of dust. Notably, different groups of individuals present varied risk levels to the toxicity of particles with vulnerable persons being susceptible to adverse effects of these contaminants. This includes the elderly, children, and immunocompromised individuals. The study examines the impacts of two variables that are trace elements (TMD) and organic contaminants …

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 …

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 …

Comprehensive Characterization Of The Genetic And Neoantigen Landscapes Of Follicular Lymphoma Patients Supports The Feasibility Of Personalized Cancer Vaccine Treatments, Cody Alexander Ramirez

Arts & Sciences Electronic Theses and Dissertations

Follicular lymphoma (FL) is the most common indolent non-Hodgkin’s lymphoma; however, it remains incurable with conventional therapies and is poorly responsive to checkpoint blockade. FL arises from B-lymphocytes and develops slowly (and often asymptomatically). A major research focus has been on how to avoid chemotherapy treatments, to limit the potential development of treatment-related side effects, and the risk of therapy-related second cancers. FL also carries an approximately 30% lifetime risk of transforming from an iNHL to more destructive lymphomas, which are associated with poorer prognosis. The most common transformation results in diffuse large B-cell lymphoma (DLBCL). However, many patients may …

Investigation Of Proliferation Suppressors In Genetic Fitness Screens, Walter Frank Lenoir Iv

Dissertations & Theses (Open Access)

Innovation of CRISPR gene-editing technology has provided scientists genome manipulation tools that allowed rapid advancement of scientific capabilities and thus improved our ability to systematically study mammalian genetic functional profiles. Genome-wide CRISPR knockout screens conducted in collections of human cell lines can knock out genes at multiple loci, and have provided new insights into functional roles for independent genes. This method has launched massive efforts in looking across genetic backgrounds for context specific genetic vulnerabilities within cancer. Much of the research effort thus far has been spent on optimizing phenotype distinctions between essential, genes required for cell fitness, and non-essential, …

Integrated Multiparametric Radiomics And Informatics System For Characterizing Breast Tumor Characteristics With The Oncotypedx Gene Assay, Michael A. Jacobs, Christopher B. Umbricht, Vishwa S. Parekh, Riham H. El Khouli, Leslie Cope, Katarzyna J. Macura, Susan Harvey, Antonio C. Wolff

Radiology Faculty Publications

Optimal use of multiparametric magnetic resonance imaging (mpMRI) can identify key MRI parameters and provide unique tissue signatures defining phenotypes of breast cancer. We have developed and implemented a new machine-learning informatic system, termed Informatics Radiomics Integration System (IRIS) that integrates clinical variables, derived from imaging and electronic medical health records (EHR) with multiparametric radiomics (mpRad) for identifying potential risk of local or systemic recurrence in breast cancer patients. We tested the model in patients (n = 80) who had Estrogen Receptor positive disease and underwent OncotypeDX gene testing, radiomic analysis, and breast mpMRI. The IRIS method was trained …

Genomic And Transcriptomic Alterations In Metabolic Regulators And Implications For Anti-Tumoral Immune Response, Ryan J. King

Theses & Dissertations

Metabolic and immune alterations are ubiquitous hallmarks of cancer that are established during the foundational mutations and are further selected upon to generate highly aggressive tumors. Recent evidence suggests that cancer cells employ an altered metabolism to induce immune evasion. To further discover the relationship between metabolism and immunity in cancer, this thesis aimed to discover potential candidates of interest by first examining the mucin family for differences, as they exert a wide range of activities in cancer, including altered metabolism and immune alterations. Unique differences lead to further profiling in pancreatic and esophageal cancer. In pancreatic cancer, CD73 was …

Survival-Related Clustering Of Cancer Patients By Integrating Clinical And Biological Datasets, Xinming Wei

Master's Theses (2009 -)

Subtype-based treatments and drug therapies are essential aspects to be considered in cancer patients' clinical trials to provide appropriate personalized therapies. With the advancement of the next-generation sequencing technology, several computational models, integrating genomic and transcriptomic datasets (i.e., multi-omics) in the prediction of subtype-based classification in cancer patients, were emerged. However, integration of the prognostic features from the clinical data, related to survival risks with the multi-omics datasets in the prediction of different subtypes, is limited and an important research area to be explored. In this study, we proposed a data integration pipeline with the prognostic features from the clinical …

B Cell Acute Lymphoblastic Leukemia Is Driven By Activating Janus Kinase Mutations Cooperating With Spi1 And Spib Deletions In A Murine Model, Michelle Lim

Electronic Thesis and Dissertation Repository

B cell acute lymphoblastic leukemia (B-ALL) is caused by genetic lesions in developing B cells that function as drivers for accumulation of additional mutations in an evolutionary selection process. We investigated secondary drivers of leukemogenesis and their mechanism(s) of arising in a mouse model of B-ALL driven by PU.1/Spi-B deletion (Mb1-CreDPB). Whole exome sequencing revealed recurrent mutations in Jak3 (encoding Janus Kinase 3) and Jak1. Mutations with high variant allele frequency (VAF) were dominated by C->T transition mutations that were compatible with AID, whereas the majority of mutations, with low VAF, were dominated by C->A transversions associated with …

Multi-Omics Integration For Gene Fusion Discovery And Somatic Mutation Haplotyping In Cancer, Steven Mason Foltz

Arts & Sciences Electronic Theses and Dissertations

Cancer is a disease caused by changes to the genome and dysregulation of gene expression. Among many types of mutations, including point mutations, small insertions and deletions, large scale structural variants, and copy number changes, gene fusions are another category of genomic and transcriptomic alteration that can lead to cancer and which can serve as therapeutic targets. We studied gene fusion events using data from The Cancer Genome Atlas, including over 9,000 patients from 33 cancer types, finding patterns of gene fusion events and dysregulation of gene expression within and across cancer types. With data from the CoMMpass study (Multiple …

The Role Of The Cxcr3 Signaling Axes In Pancreatic Ductal Adenocarcinoma, Andrew C. Cannon

Theses & Dissertations

Numerous cytokines promote pancreatic ductal adenocarcinoma (PDAC) progression and suppress anti-tumor immune response leading to poor prognosis in PDAC patients. Despite this, many cytokines, have not been investigated in PDAC. Bioinformatic analyses of PDAC microarray and RNA-Seq datasets were used to identify cytokines overexpressed in PDAC, confirm the expression of cognate receptors, determine the association of cytokines with patient survival and define key underlying molecular associations. Bioinformatic findings were validated using immunohistochemical (IHC) staining, comparative cytokine qPCR-array in Kras^LSL-G12D:TP53^LSL-R172H:Pdx1-Cre (KPC) and Kras^LSL-G12D:Pdx1-Cre (KC) PDAC models and multicolor immunofluorescence staining. Tail-vein injections of PDAC cells …

Cancer Risk Prediction With Whole Exome Sequencing And Machine Learning, Abdulrhman Fahad M Aljouie

Dissertations

Accurate cancer risk and survival time prediction are important problems in personalized medicine, where disease diagnosis and prognosis are tuned to individuals based on their genetic material. Cancer risk prediction provides an informed decision about making regular screening that helps to detect disease at the early stage and therefore increases the probability of successful treatments. Cancer risk prediction is a challenging problem. Lifestyle, environment, family history, and genetic predisposition are some factors that influence the disease onset. Cancer risk prediction based on predisposing genetic variants has been studied extensively. Most studies have examined the predictive ability of variants in known …

The Splice Is Not Right: Splice-Site-Creating Mutations In Cancer Genomes, Reyka Glencora Jayasinghe

Arts & Sciences Electronic Theses and Dissertations

Accurate interpretation of cancer mutations in individual tumors is a prerequisite for precision medicine. Large-scale sequencing studies, such as The Cancer Genome Atlas (TCGA) project, have worked to address the functional consequences of genomic mutations, with the larger goal of determining the underlying mechanisms of cancer initiation and progression. Many studies have focused on characterizing non-synonymous somatic mutations that alter amino acid sequence, as well as splice disrupting mutations at splice donors and acceptors. Current annotation methods typically classify mutations as disruptors of splicing if they fall on the consensus intronic dinucleotide splice donor, GT, the splice acceptor, AG. Splice …

Multi-Omics Portraits Of Cancer, Kuan-Lin Huang

Arts & Sciences Electronic Theses and Dissertations

Precision oncology demands accurate portrayal of a disease at all molecular levels. However, current large-scale studies of omics are often isolated by data types. I have been developing computational tools to conduct integrative analyses of omics data, identifying unique molecular etiology in each tumor. Particularly, this dissertation presents the following contributions to the computational omics of cancer: (1) uncovering the predisposition landscape in 33 cancers and how germline genome collaborates with somatic alterations in oncogenesis; (2) pioneering methods to combine genomic and proteomic data to identify treatment opportunities; and (3) revealing selective phosphorylation of kinase-substrate pairs. These findings advance our …

Computational Insights Into The Generation Of Chromosomal Copy Number Changes, Yihua Liu

Dissertations & Theses (Open Access)

Deviations from a diploid configuration of the human genome, spanning single genes or entire chromosomes, can have wide-ranging impacts on the variation of human phenotypes, including Mendelian and complex forms of diseases. These chromosomal alterations — such as duplications, deletions or copy-neutral loss-of-heterozygosity — are thus important forms of genetic variation for phenotyping populations of individuals as well as populations of cells. Indeed, copy number variants (CNVs) serve as hallmarks of critical changes in the development of particular diseases such as cancer and thus may be used as biomarkers. These CNVs may be either inherited (transmitted by germ cells, originating …

The Role Of Thymine-Dna Glycosylase In Transcriptional Regulation, Bart Kolendowski

Electronic Thesis and Dissertation Repository

Precise control over transcriptional regulation is required for normal cell function. Errors in transcriptional regulation underpin many diseases including cancer. Thymine DNA Glycosylase (TDG) is a base excision repair protein and a coregulator that has been implicated in a diverse set of fundamental biological processes including embryonic development, nuclear receptor signaling and Wnt signaling. Importantly, TDG has been shown to play an important role in transcriptional regulation in a wide variety of systems. Details surrounding the mechanism through which TDG acts remain unclear. In this thesis we explore the role of TDG in Estrogen Receptor (ER)-dependent signaling and in cellular …