Exploring alternative mass spectrometric methods for epitranscriptomic analysis

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Hongzhou Wang (Creator)
Institution
The University of North Carolina at Greensboro (UNCG )
Web Site: http://library.uncg.edu/
Advisor
Norman Chiu

Abstract: Ribonucleic acid (RNA) is one of the key components in living cells and plays many different roles. For example, RNA can be the cornerstone of biological function, in particular, it can be catalytic, and thus possess both a genotype and a phenotype. In order to achieve some of the RNA functionalities, the molecular structure of RNA can be altered by a whole spectrum of post-transcriptional modifications. Those modifications refer mainly to the changes in the molecular structure of ribonucleotides. Currently, there are 172 different RNA modifications reported in the literature. Among them, the most frequent modification is RNA methylation. With the advances in the annotation of genomes, there are growing interests to analyze the RNA modifications at the transcriptomic level. In the literature, this area of research is referred as epitranscriptomic analysis. The goal of epitranscriptomic analysis is to determine the identity and frequency of all RNA modifications in a specific transcriptome, and ultimately pinpointing their exact locations on each transcript. Currently, the most suitable and comprehensive approach for carrying out epitranscriptomic analysis is using liquid chromatography mass spectrometry (LC-MS) method to analyze the digested ribonucleosides. Our research group have recently developed a novel and accurate LC-MS/MS method which could achieve standard-free profiling and quantitation for modified ribonucleosides. Aiming at further improve or assist the LC-MS/MS method, alternative mass spectrometric methods are present in this dissertation. These include a size reducing ion mobility (SRI) mass spectrometric method and a flow injection analysis (FIA) method which can improve the differentiation and turnaround time of targeted analysis, respectively.

Additional Information

Publication
Dissertation
Language: English
Date: 2022
Keywords
Analytical chemistry
Subjects
RNA $x Methylation

Email this document to