Life Sciences Commons^™

Metagenome-Wide Associations And Metabolic Modeling To Predict The Biomarkers For Colorectal Cancer, Nagavardhini Avuthu

Theses & Dissertations

Colorectal cancer (CRC) is the most common malignancy and the second most common cause of cancer-related deaths in the world. It is a multifactorial disease mediated by genetic, environmental, and lifestyle factors. Over time, the accumulation of genetic and epigenetic changes results in the activation of oncogenes and deactivation of tumor suppressor genes in the colon and rectal region which finally leads to tumor development. The gut microbiome is the main factor linking the effects of diet and environmental factors to host metabolism. Several studies showed the dysbiosis of gut microbiota in CRC patients with an increased proportion of pathogenic …

Identification Of Candidate Microbial Biomarkers Of Disease And Design Of Engineered Microbial Therapeutics For The Gut Microbiome, Aura Lucia Ferreiro

McKelvey School of Engineering Theses & Dissertations

The human gut microbiome is a compositionally and functionally diverse community of microorganisms that profoundly influences the health of the host. Deep characterization of gut microbiomes via high-throughput sequencing has identified associations between the gut microbiome and disease states, and spurred development of engineered microbial therapeutics. Successful translation of these research efforts to the clinic will involve i) consideration of how engineered microbes behave and adapt in the gut, towards the implementation of biosafety mechanisms, and ii) identification and validation of microbial biomarkers of disease. This dissertation describes both investigative (Chapter 2) and engineering (Chapters 3 and 4) approaches to …

Deep Learning Applications In Medical Bioinformatics, Ziad Omar

Electronic Theses and Dissertations

After a patient’s breast cancer diagnosis, identifying breast cancer lymph node metastases is one of the most important and critical factor that is directly related to the patient’s survival. The traditional way to examine the existence of cancer cells in the breast lymph nodes is through a lymph node procedure, biopsy. The procedure process is time-consuming for the patient and the provider, costly, and lacks accuracy as not every lymph node is examined. The intent of this study is to develop an artificial neural network (ANNs) that would map genetic biomarkers to breast lymph node classes using ANNs. The neural …

Identification Of Prognostic Cancer Biomarkers Through The Application Of Rna-Seq Technologies And Bioinformatics, Nathan Wong

McKelvey School of Engineering Theses & Dissertations

MicroRNAs (miRNAs) are short single-stranded RNAs that function as the guide sequence of the post-transcriptional regulatory process known as the RNA-induced silencing complex (RISC), which targets mRNA sequences for degradation through complementary binding to the guide miRNA. Changes in miRNA expression have been reported as correlated with numerous biological processes, including embryonic development, cellular differentiation, and disease manifestation. In the latter case, dysregulation has been observed in response to infection by human papillomavirus (HPV), which has also been established as both oncogenic in cervical cancers and oropharyngeal cancers and favorable for overall patient survival after tumor formation. The identification of …

Dysregulation Of Micrornas In Blood As Biomarkers For Diagnosing Prostate Cancer, Rhonda W. Daniel

Theses and Dissertations

Prostate cancer is the most common noncutaneous cancer among men, yet current diagnostic methods are insufficient and more reliable diagnostic markers need to be developed. The answer that can bridge this gap and enable more efficient diagnoses may lie in microRNAs. These small, single stranded RNA molecules impact protein expression at the translational level and regulate important cellular pathways. Dysregulation of these small RNA molecules can have tumorigenic effects on cells and lead to many types of cancers.

Currently the Prostate-Stimulating Antigen (PSA) is used as a diagnostic marker for prostate cancer. However, many factors can elevate PSA levels such …

Alcohol Biomarkers As Predictive Factors Of Rearrest In High Risk Repeat Offense Drunk Drivers, Brian Charles Kay

Theses and Dissertations

Alcohol biomarkers, or naturally occurring molecules which occur in response to one's alcohol consumption, are proving to be a value tool in objectively monitoring one's alcohol consumption. Coupling this assessment tool, with advances in computing power, new and powerful predictions are becoming evermore possible. In this retrospective study, data was first collected that consisted of a sample of 249 drivers convicted of driving under the influence charge and who monitored over the course of a year by biomarker blood tests. This data was then analyzed using machine learning methods. TwoStep cluster analysis showed distinct drinking groups within the drivers who …