Program

Oral Sessions

Day 4, May 18（Fri.）　16:05-16:25　Room B (Seiun 1)

4B-O2-P-1605　　PDF

Mass spectrometry-based proteogenomic analysis to identify novel protein-coding genes through the human proteome

(Kyung Hee University)
Seung-eun Lee, ^oMin-sik Kim

Mass spectrometry (MS) is a powerful tool to analyze biomolecules such as metabolites and proteins. Recently, MS-based proteomic analysis has become an essential technology for an in-depth high-throughput Omics analysis including lipidome, metabolome, and proteme, and is now widely used for a variety of applications in biomedical research. For example, potential biomarkers/therapeutic targets for diseases such as pancreatic cancers can be found by quantitatively analyzing proteomes/phosphoproteome of tumor tissues and circulating proteins in bloods from patients with the disease. The availability of human genome sequence has transformed biomedical research over the past decade. Proteogenomic analysis is a new type of analysis that combines genome-wide RNA data with mass spectrometry-based proteomic results. Through this analysis, genomes and their otherwise unannotated protein-coding genes can be found directly by high-quality MS datasets and subsequent data analyses and mass spectrometry analysis of newly detected peptides from unannotated genes will be necessary. Until now, a comprehensive map for the human proteome with direct measurements of proteins and peptides by mass spectrometry does not exist. Herein, a draft map of the human proteome using high-resolution Fourier-transform mass spectrometry will be discussed.