日本質量分析学会 第69回質量分析総合討論会会

演題概要

オーラルセッション

第2日 5月20日(木) 11:40~12:00 A会場(Zoom)

メタボロームデータを用いた論文化における現状のガイドライン

(1理研CSRS2理研IMS)
o津川裕司1,2

Over two decades have passed since Oliver et al. first used the term “metabolome” in their article (Trends Biotechnol. 1998, 16, 373–378.). At present, various protocols for metabolome analysis have been well established. In omics research (metabolomics, lipidomics, glycomics, proteomics, transcriptomics, and genomics), where massive data are generated every day, reproducibility, reusability, and transparency have become fundamental. Recently, many journals have encouraged to publish raw MS data (primary data) in respective repositories and metabolite libraries (secondary data) generated from these raw data are also welcomed to accelerate open science. We believe that the coming era of computational science should extract metabolites and their biological information from large-scale data with high accuracy to increase its reuse and efficiently elucidate molecular mechanisms driving the observed phenotypes. In this context, the current guideline of metabolomics data reports is summarized, and then the recent advance in computational mass spectrometry to deepen the understanding of metabolisms is introduced.