Graduation Year
2023
Document Type
Thesis
Degree
M.A.
Degree Name
Master of Arts (M.A.)
Degree Granting Department
Mathematics and Statistics
Major Professor
Nataša Jonoska, Ph.D.
Committee Member
Lu Lu, Ph.D.
Committee Member
Joel Rosenfeld, Ph.D.
Keywords
Bioconductor, exploratory analysis, genomics, R
Abstract
During the DNA replication process, ribonucleotides, the building blocks of RNA, may be occasionally incorporated in the newly synthesized DNA. DNA is primarily composed of deoxyribonucleotides and there exist cellular mechanisms for removing ribonucleotides from DNA, which may point towards ribonucleotide incorporation being a replication error. Further, an excess of these ribonucleotides in the genome has been known to lead to genomic instability and has been implicated in human diseases. However, there are also hypotheses that suggest that ribonucleotides may be beneficial in certain circumstances. In this study we examine ribonucleotide incorporation in the human genome in several human cell types. While ribonucleotide incorporation has been studied in yeast, there has yet to be a systematic study of this phenomenon in the human genome. We analyze data obtained through a sequencing protocol that detects the positions of ribonucleotide incorporation in genome samples. We use mathematical analysis to detect hotspots and sequence patterns, as well as biologically relevant regions where such ribonucleotide incorporation appears nonrandom. Our analysis shows that the phenomenon is most commonly seen in regions that are GC rich and may be correlated with some gene regulatory segments. Further study will be needed to ascertain whether ribonucleotide incorporation has a specific biological function in the human genome.
Scholar Commons Citation
Channagiri, Tejasvi, "Statistical Analysis of Ribonucleotide Incorporation in Human Cells" (2023). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/10429