Food Metabolome Repository: a New Database for Identification of Unknown Compounds in Food Metabolome Analyses

• SAKURAI Nozomu

  Bioinformation & DDBJ Center, National Institute of Genetics, Research Organization of Information and Systems

Bibliographic Information

Other Title

• 食品成分のメタボローム解析と未知成分同定のための“食品メタボロームレポジトリ”の提案
• ショクヒン セイブン ノ メタボローム カイセキ ト ミチ セイブン ドウテイ ノ タメ ノ"ショクヒン メタボロームレポジトリ"ノ テイアン

Abstract

A significant number of “unknown” metabolite peaks are usually detected in foods and other samples by mass spectrometry (MS)-based untargeted metabolome analyses. Identification and annotation of these unknowns are useful for discovery of novel functional molecules and biomarkers, and for understanding the mechanisms of living organisms. In this article, we summarize current status and issues in the MS-based metabolomics and propose a database, Food Metabolome Repository (http://metabolites.in/foods), as a new data resource for improving metabolite annotations based on the sample specificity of the unknowns.

Journal

• Oleoscience

  Oleoscience 19 (2), 59-65, 2019

  Japan Oil Chemists' Society

Keywords

• food metabolome repository
• liquid chromatography-mass spectrometry
• compound database
• metabolite annotation

Details

• CRID: 1390845702283240576
• NII Article ID: 130007711478
• NII Book ID: AA11503417
• DOI: 10.5650/oleoscience.19.59
• ISSN: 21873461
• ISSN: 13458949
• NDL BIB ID: 029489007
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I029489007
• Web Site: https://www.jstage.jst.go.jp/article/oleoscience/19/2/19_59/_pdf
• Web Site: https://search.jamas.or.jp/link/ui/2019142443
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed