Details of a Researcher

Personnel Information

写真a

OHNO SATOSHI

Job title	Junior Associate Professor
Research Areas, Keywords	Systems biology, Systems medicine, Metabolic engineering
Field Introduction URL	https://shimizuhideyuki-lab.org/s_ohno/

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Graduating School 【 display / non-display 】

Osaka University, Faculty of Engineering, Division of Applied Science, 2010.03, Graduated

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Graduate School 【 display / non-display 】

Osaka University, Graduate School of Information Science and Technology, Department of Bioinformatic Engineering, Master's Course, 2012.03, Completed
Osaka University, Graduate School of Information Science and Technology, Department of Bioinformatic Engineering, Doctor's Course, 2015.03, Completed

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Degree 【 display / non-display 】

Ph.D. (Information Science), Osaka University

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Campus Career 【 display / non-display 】

2023.01

-

Now

Tokyo Medical and Dental University， M&D Data Science Center， Division of Health Intelligence， Department of AI Systems Medicine， Junior Associate Professor

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External Career 【 display / non-display 】

2015.04

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2016.03

The University of Tokyo, Graduate School of Science, Project Research Associate
2016.04

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2019.03

The University of Tokyo, Graduate School of Science, Project Assistant Professor
2019.04

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2022.12

The University of Tokyo, Graduate School of Science, Assistant Professor
2023.01

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Now

Tokyo Medical and Dental University, M&D Data Science Center, Junior Associate Professor

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Research Areas 【 display / non-display 】

Life, health and medical informatics
Metabolism and endocrinology
Biofunction and bioprocess engineering
System genome science

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Research Theme 【 display / non-display 】

Inter-organ metabolic flux analysis for glucose-administrated mice, 2021.04 - 2025.03

State： Individual
Metabolic flux analysis for the liver of mice administered with glucose, 2017.04 - 2020.03

State： Individual
Summary： In this study, we developed novel methods for organs to estimate metabolic fluxes in a non-steady-state condition and to analyze the regulation of the flux. We applied the developed methods to the liver of mice administrated with glucose. we found that the gluconeogenesis flux in the livers during starvation was much larger than the glycolytic flux in the liver after glucose administration. Furthermore, the differences in metabolic flux between wild-type and obese mice were dependent on amounts of enzymes for most reactions, while a few reactions including glycogen metabolism showed flux differences between wild-type and obese mice dependent on amounts of substrate and product metabolites.
In addition, we also applied the method developed above to adipocyte cell lines and found that insulin activated the glycolytic flux in adipocytes by translocation of Glut4, while fluxes through TCA cycle remained almost constant.

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Published Papers & Misc 【 display / non-display 】

Toshiya Kokaji, Miki Eto, Atsushi Hatano, Katsuyuki Yugi, Keigo Morita, Satoshi Ohno, Masashi Fujii, Ken-Ichi Hironaka, Yuki Ito, Riku Egami, Saori Uematsu, Akira Terakawa, Yifei Pan, Hideki Maehara, Dongzi Li, Yunfan Bai, Takaho Tsuchiya, Haruka Ozaki, Hiroshi Inoue, Hiroyuki Kubota, Yutaka Suzuki, Akiyoshi Hirayama, Tomoyoshi Soga, Shinya Kuroda. In vivo transomic analyses of glucose-responsive metabolism in skeletal muscle reveal core differences between the healthy and obese states. Sci Rep. 2022.08; 12 (1): 13719. ( PubMed, DOI )
Akira Terakawa, Yanhui Hu, Toshiya Kokaji, Katsuyuki Yugi, Keigo Morita, Satoshi Ohno, Yifei Pan, Yunfan Bai, Andrey A Parkhitko, Xiaochun Ni, John M Asara, Martha L Bulyk, Norbert Perrimon, Shinya Kuroda. Trans-omics analysis of insulin action reveals a cell growth subnetwork which co-regulates anabolic processes. iScience. 2022.05; 25 (5): 104231. ( PubMed, DOI )
Satoshi Ohno, Saori Uematsu, Shinya Kuroda. Quantitative metabolic fluxes regulated by trans-omic networks. Biochem J. 2022.03; 479 (6): 787-804. ( PubMed, DOI )
Saori Uematsu, Satoshi Ohno, Kaori Y Tanaka, Atsushi Hatano, Toshiya Kokaji, Yuki Ito, Hiroyuki Kubota, Ken-Ichi Hironaka, Yutaka Suzuki, Masaki Matsumoto, Keiichi I Nakayama, Akiyoshi Hirayama, Tomoyoshi Soga, Shinya Kuroda. Multi-omics-based label-free metabolic flux inference reveals obesity-associated dysregulatory mechanisms in liver glucose metabolism. iScience. 2022.02; 25 (2): 103787. ( PubMed, DOI )
Riku Egami, Toshiya Kokaji, Atsushi Hatano, Katsuyuki Yugi, Miki Eto, Keigo Morita, Satoshi Ohno, Masashi Fujii, Ken-Ichi Hironaka, Saori Uematsu, Akira Terakawa, Yunfan Bai, Yifei Pan, Takaho Tsuchiya, Haruka Ozaki, Hiroshi Inoue, Shinsuke Uda, Hiroyuki Kubota, Yutaka Suzuki, Masaki Matsumoto, Keiichi I Nakayama, Akiyoshi Hirayama, Tomoyoshi Soga, Shinya Kuroda. Trans-omic analysis reveals obesity-associated dysregulation of inter-organ metabolic cycles between the liver and skeletal muscle. iScience. 2021.03; 24 (3): 102217. ( PubMed, DOI )
Toshiya Kokaji, Atsushi Hatano, Yuki Ito, Katsuyuki Yugi, Miki Eto, Keigo Morita, Satoshi Ohno, Masashi Fujii, Ken-Ichi Hironaka, Riku Egami, Akira Terakawa, Takaho Tsuchiya, Haruka Ozaki, Hiroshi Inoue, Shinsuke Uda, Hiroyuki Kubota, Yutaka Suzuki, Kazutaka Ikeda, Makoto Arita, Masaki Matsumoto, Keiichi I Nakayama, Akiyoshi Hirayama, Tomoyoshi Soga, Shinya Kuroda. Transomics analysis reveals allosteric and gene regulation axes for altered hepatic glucose-responsive metabolism in obesity. Sci Signal. 2020.12; 13 (660): ( PubMed, DOI )
Satoshi Ohno, Lake-Ee Quek, James R Krycer, Katsuyuki Yugi, Akiyoshi Hirayama, Satsuki Ikeda, Futaba Shoji, Kumi Suzuki, Tomoyoshi Soga, David E James, Shinya Kuroda. Kinetic Trans-omic Analysis Reveals Key Regulatory Mechanisms for Insulin-Regulated Glucose Metabolism in Adipocytes. iScience. 2020.09; 23 (9): 101479. ( PubMed, DOI )
Lake-Ee Quek, James R Krycer, Satoshi Ohno, Katsuyuki Yugi, Daniel J Fazakerley, Richard Scalzo, Sarah D Elkington, Ziwei Dai, Akiyoshi Hirayama, Satsuki Ikeda, Futaba Shoji, Kumi Suzuki, Jason W Locasale, Tomoyoshi Soga, David E James, Shinya Kuroda. Dynamic 13C Flux Analysis Captures the Reorganization of Adipocyte Glucose Metabolism in Response to Insulin. iScience. 2020.02; 23 (2): 100855. ( PubMed, DOI )
Rate-oriented trans-omics: integration of multiple omic data on the basis of reaction kinetics 2019.06; 15 109-120.
James R Krycer, Katsuyuki Yugi, Akiyoshi Hirayama, Daniel J Fazakerley, Lake-Ee Quek, Richard Scalzo, Satoshi Ohno, Mark P Hodson, Satsuki Ikeda, Futaba Shoji, Kumi Suzuki, Westa Domanova, Benjamin L Parker, Marin E Nelson, Sean J Humphrey, Nigel Turner, Kyle L Hoehn, Gregory J Cooney, Tomoyoshi Soga, Shinya Kuroda, David E James. Dynamic Metabolomics Reveals that Insulin Primes the Adipocyte for Glucose Metabolism. Cell Rep. 2017.12; 21 (12): 3536-3547. ( PubMed, DOI )
Takanori Sano, Kentaro Kawata, Satoshi Ohno, Katsuyuki Yugi, Hiroaki Kakuda, Hiroyuki Kubota, Shinsuke Uda, Masashi Fujii, Katsuyuki Kunida, Daisuke Hoshino, Atsushi Hatano, Yuki Ito, Miharu Sato, Yutaka Suzuki, Shinya Kuroda. Selective control of up-regulated and down-regulated genes by temporal patterns and doses of insulin. Sci Signal. 2016.11; 9 (455): ra112. ( PubMed, DOI )
Kento Tokuyama, Satoshi Ohno, Katsunori Yoshikawa, Takashi Hirasawa, Shotaro Tanaka, Chikara Furusawa, Hiroshi Shimizu. Increased 3-hydroxypropionic acid production from glycerol, by modification of central metabolism in Escherichia coli. Microbial Cell Factories. 2014.05; 13 64. ( PubMed, DOI )
Satoshi Ohno, Hiroshi Shimizu, Chikara Furusawa. FastPros: screening of reaction knockout strategies for metabolic engineering. Bioinformatics. 2014.04; 30 (7): 981-987. ( PubMed, DOI )
Nobutaka Nakashima, Satoshi Ohno, Katsunori Yoshikawa, Hiroshi Shimizu, Tomohiro Tamura. A vector library for silencing central carbon metabolism genes with antisense RNAs in Escherichia coli. Applied and Environmental Microbiology. 2014.01; 80 (2): 564-573. ( PubMed, DOI )
Satoshi Ohno, Chikara Furusawa, Hiroshi Shimizu. In silico screening of triple reaction knockout Escherichia coli strains for overproduction of useful metabolites. J Biosci Bioeng. 2013.02; 115 (2): 221-228. ( PubMed, DOI )