Invited Talk at Muroran Institute of Technology (2023/6/30)
Time: 16: 15 – 17: 45 (JST), June 30, 2023.
Location: R205, Education & Research Building No. 8, Muroran Institute of Technology, 27-1 Mizumoto-cho, Muroran, Hokkaido, 0508585 Japan.
CO-ORGANIZED BY:
IEEE Muroran Institute of Technology Student Branch
IEEE Sapporo Section Young Professionals (YP)
Emerging Networks and Systems Laboratory (ENeS), Muroran Institute of Technology
Topic: Illuminating the metabolome diversity by computational metabolomics
Speaker: Hiroshi Tsugawa, Associate Professor, Tokyo University of Agriculture and Technology, Japan
Abstract:
The metabolome is the complete set of small molecules present within a living organism, formed as a result of metabolism reflecting biological phenotypes. Untargeted metabolomics studies using mass spectrometry (MS) show that metabolites are deeply involved in the body’s physiology and homeostasis (e.g., oxylipins and oncometabolites). Yet, only 100-200 metabolites out of thousands of ions detected by MS are identified by modern computational techniques. Currently, most metabolomics data are “dark matter”, and biological mechanisms are discussed based on information from only 2-3% of the metabolome. Small biomolecules are thought to comprise over one million chemical species, including plant, microbiota, and exposome compounds. Illuminating the ‘dark matter of metabolomes’ remains an unmet need and accomplishing it will certainly expand our understanding of metabolic diseases and lead to the discovery of innovative drugs. To address this need, I have performed the studies of computational metabolomics, illuminating the diversity of plant metabolomes and mammalian lipidomes, and the works are introduced in this talk. Notably, this work resulted in the discovery of novel and biologically important metabolites, which would open the door to fundamental biology, biomarker discovery, and clinical application.
Biography:
Professor Hiroshi Tsugawa got his Ph.D. degree in 2012 at Osaka University (Supervisor: Eiichiro Fukusaki), and his main research is computational metabolomics, providing MS-DIAL (http://prime.psc.riken.jp/), in RIKEN (Leaders: Masanori Arita & Makoto Arita) with Oliver Fiehn lab at UC Davis. Since 2021, he have started new career as associate professor in TUAT, Japan.
Contact:
Emerging Networks and Systems Laboratory (ENeS)
Email: [email protected]