Publication Date
Fall 2023
Degree Type
Master's Project
Degree Name
Master of Science in Bioinformatics (MSBI)
Department
Computer Science
First Advisor
Leonard Wesley
Second Advisor
Philip Heller
Third Advisor
William Andreopoulos
Keywords
Pancreatic ductal adenocarcinoma, copy number variations, epigenetic factors, epigenetic pipeline, CNV modified sequence.
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a formidable challenge in oncology due to its aggressive form and late-stage detection. PDAC is known to be influenced by various epigenetic factors like DNA methylation and histone modifications. This study focuses on copy number variations (CNVs) within epigenetic factors which for their role in early diagnosis. Thus, paving the way for identification of potential biomarkers. The epigenetic pipeline was extended based on CNVs and the CNV modified sequences extracted were compared with the wild type sequences of epigenetic PDAC genes. The epigenetic gene KCNJ11 with copy number gain of CNV id 46771406 was used and its CNV modified sequence was compared with wild type sequences of genes RPS2P40, NCR3LG1 and KCNJ11 respectively. This CNV was found to be significant in genes RPS2P40, KCNJ11 and non-significant in gene NCR3LG1.
Recommended Citation
Raju, Pavithra, "Identification Of Copy Number Variations (CNVs) Of Epigenetic Factors Related to The Progression of Pancreatic ductal adenocarcinoma (PDAC)" (2023). Master's Projects. 1321.
DOI: https://doi.org/10.31979/etd.bkus-2zqz
https://scholarworks.sjsu.edu/etd_projects/1321
