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Home > Introduction of our tenure-track faculties > Tsugawa Hiroshi

Introduction of our tenure-track faculties

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://web.tuat.ac.jp/~tsugawalab/
Research experience

・2012: Research Fellowships for Young Scientists (DC2)
・2012: Postdoctoral researcher, RIKEN Plant Science Center, Japan
・2013: Postdoctoral researcher, RIKEN Center for Sustainable Resource Science, Japan
・2017: Researcher, RIKEN Center for Sustainable Resource Science & Center for Integrative Medical Sciences, Japan
2021: Associate Professor, Tokyo University of Agriculture and ・Technology

Educational background

・Mar.2009: Bachelor's Degree, Osaka University, Division of Applied Science
・Mar.2011:Master's Degree, Osaka University, Department of Biotechnology
・Sep.2012:Doctoral Degree, PhD, Osaka University, Department of Biotechnology

Awards

・2020: RIKEN BAIHO Award (RIKEN Excellent Achievement Award)
・2018: Top 40 Under 40 of “The Analytical Science”
・2016: RIKEN Science Research Award
・2015: Best Talk Award in Annual Conference of Japan Mass Spectrometry
・2012: Best scientific paper award of Journal of Bioengineering and Bioscience

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)
・Hiroshi Tsugawa$,*, Ryo Nakabayashi$, Tetsuya Mori, Yutaka Yamada, Mikiko Takahashi, Amit Rai, Ryosuke Sugiyama, Hiroyuki Yamamoto, Taiki Nakaya, Mami Yamazaki, Rik Kooke, Johanna A Bac-Molenaar, Nihal Oztolan-Erol, Joost JB Keurentjes, Masanori Arita, and Kazuki Saito*. A cheminformatics approach to characterize metabolomes in stable isotope-labeled organisms. Nature Methods, 16, 295-298, 2019($contributed equally, *co-corresponding authors)
・ Lai$, Hiroshi Tsugawa$, Gert Wohlgemuth, (, and 8 authors), Peter Beal, Masanori Arita*, Oliver Fiehn*. Identifying epimetabolites by integrating metabolome databases with mass spectrometry cheminformatics. Nature Methods 15, 53-56, 2018($contributed equally, *co-corresponding authors)
・Hiroshi Tsugawa, Tobias Kind, Ryo Nakabayashi, Daichi Yukihira, Wataru Tanaka, Tomas Cajka, Kazuki Saito, Oliver Fiehn*, Masanori Arita*. Hydrogen rearrangement rules: computational MS/MS fragmentation and structure elucidation using MS-FINDER software. Analytical Chemistry 88, 7946-7958, 2016(*co-corresponding authors)
・Hiroshi Tsugawa, Tomas Cajka, Tobias Kind, Yan Ma, Brendan Higgins, Kazutaka Ikeda, Mitsuhiro Kanazawa, Jean VanderGheynst, Oliver Fiehn*, Masanori Arita*. MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis. Nature Methods 12, 523-526, 2015(*co-corresponding authors)

Research Description

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.

About TUAT's tenure-track program

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.

Future aspirations

I will conduct world-leading research.