Research Support Office Research Advancement Division. Tokyo University of Agriculture and Technology
TEL | +81-42-367-5944 |
---|---|
FAX | +81-42-367-5946 |
Home > Introduction of our tenure-track faculties > Tsugawa Hiroshi
Tsugawa Hiroshi
Affiliation | Institute of Engineering |
---|---|
Division | Biotechnology and Life Science |
Research field | Systems biology |
Keyword(S) | Omics science, mass spectrometry, computational science |
Url | https://systemsomicslab.github.io/ |
Research experience | ・2012: Research Fellowships for Young Scientists (DC2) |
---|---|
Educational background | ・Mar.2009: Bachelor's Degree, Osaka University, Division of Applied Science |
Awards | ・2020: RIKEN BAIHO Award (RIKEN Excellent Achievement Award) |
Selected papers and publications | ・Hiroshi Tsugawa*, Kazutaka Ikeda, Mikiko Takahashi, Aya Satoh, Yoshifumi Mori, Haruki Uchino, Nobuyuki Okahashi, Yutaka Yamada, Ipputa Tada, Paolo Bonini, Yasuhiro Higashi, Yozo Okazaki, Zhiwei Zhou, Zheng-Jiang Zhu, Jeremy Koelmel, Tomas Cajka, Oliver Fiehn, Kazuki Saito, Masanori Arita, Makoto Arita*. A lipidome atlas in MS-DIAL 4. Nature Biotechnology 38, 1159-1163, 2020. (*co-corresponding authors) |
Metabolism is one of the important factors to understand biological systems. Through metabolism, all living organisms convert nutrient molecules to the molecules necessary to maintain the homeostasis in life. The complex system composes of various biomolecules such as (epi)genome (DNA), transcriptome (RNAs), proteome (proteins), and metabolome (metabolites). Our laboratory develops new methodologies for systems biology using omics techniques. (The word "omics" means "whole/all/comprehensive"; for example, metabolome (metabolite+ome) denotes for "all metabolites” in living organism of interest.
In particular, our aim is to understand the “metabolic communication” between plant and human. Plants are known to produce millions of metabolites, majority of which are still not characterized and are speculated to possess novel bioactive properties. Moreover, the metabolic enzymes in human and their associated microbiome metabolize their molecules that modulate cellular activity, microbiome, and phenotype in human health and disease. The specific themes are described below.
1. AI (machine learning) research to reveal the diversity of plant natural products by elucidating mass spectrometry data.
2. AI research to reveal the diversity of lipids in living organisms by elucidating mass spectrometry data.
3. Development of multi omics methods to elucidate the impact of plant metabolites in human metabolic systems.
4. Development of interactome analysis methods to capture the crosstalk between metabolites and proteins.
In addition, we will do the bioengineering research to deal with various issues facing the life sciences by the omics methodology.
I applied for this tenure track project because the system gives the opportunity to young researchers as PI (Principal Investigator). In fact, TUAT and my department actively support my laboratory’s work. In order to repay the opportunity given to me, I would like to do my best in my research and conduct research that will change the world in life science. Moreover, I would like to conduct education and research to make students feel that research is interesting and to contribute to raising the academic level in Japan.
I will conduct world-leading research.