Hiroyuki Kubota

Affiliation and department：
Homepage URL (1)： http://www.bioreg.kyushu-u.ac.jp/labo/omics/

Research field (1)： Systems genomics

Research keywords (2)： TransOmics , Systems Biology

Research theme for competitive and other funds (13)：

2020 - 2025 患者生体データの統合解析を通じた発症・浸潤・転移のネットワーク解析
2021 - 2024 脳卒中精密医療の基盤構築に関する研究
2017 - 2023 定量的光操作と計測技術を基軸とする生体深部の細胞応答ダイナミクスの解析
2020 - 2023 脂肪肝進行の時系列トランスオミクス解析による理解
2017 - 2023 定量的光操作と計測技術を基盤とする生体深部の細胞応答ダイナミクスの解析

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Papers (46)：

Hideki Maehara, Toshiya Kokaji, Atsushi Hatano, Yutaka Suzuki, Masaki Matsumoto, Keiichi I. Nakayama, Riku Egami, Takaho Tsuchiya, Haruka Ozaki, Keigo Morita, et al. DNA hypomethylation characterizes genes encoding tissue-dominant functional proteins in liver and skeletal muscle. Scientific Reports. 2023. 13. 1
Yuki Ito, Shinsuke Uda, Toshiya Kokaji, Akiyoshi Hirayama, Tomoyoshi Soga, Yutaka Suzuki, Shinya Kuroda, Hiroyuki Kubota. Comparison of hepatic responses to glucose perturbation between healthy and obese mice based on the edge type of network structures. Scientific reports. 2023. 13. 1. 4758-4758
Toshiya Kokaji, Miki Eto, Atsushi Hatano, Katsuyuki Yugi, Keigo Morita, Satoshi Ohno, Masashi Fujii, Ken-ichi Hironaka, Yuki Ito, Riku Egami, et al. In vivo transomic analyses of glucose-responsive metabolism in skeletal muscle reveal core differences between the healthy and obese states. 2022
Saori Uematsu, Satoshi Ohno, Kaori Y Tanaka, Atsushi Hatano, Toshiya Kokaji, Yuki Ito, Hiroyuki Kubota, Ken-Ichi Hironaka, Yutaka Suzuki, Masaki Matsumoto, et al. Multi-omics-based label-free metabolic flux inference reveals obesity-associated dysregulatory mechanisms in liver glucose metabolism. iScience. 2022. 25. 2. 103787-103787
Suguru Fujita, Yasuaki Karasawa, Masashi Fujii, Ken-Ichi Hironaka, Shinsuke Uda, Hiroyuki Kubota, Hiroshi Inoue, Yohei Sumitomo, Akiyoshi Hirayama, Tomoyoshi Soga, et al. Four features of temporal patterns characterize similarity among individuals and molecules by glucose ingestion in humans. NPJ systems biology and applications. 2022. 8. 1. 6-6

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MISC (14)：

久保田浩行. トランスオミックス解析の現状. 2020
Wada T, Wataya M, Fujii M, Hironaka K, Eto M, Uda S, Hoshino D, Kunida K, Inoue H, Kubota H, et al. Single-cell information analysis reveals small intra- and large intercellular variations increase cellular information capacity. bioRxiv. 2019
久保田浩行黒田真也. 血中インスリン濃度パターンによる肝臓シグナル分子の選択的制御. 2018
久保田浩行. システム生物学 -数理科学を用いる「いろは」とめざすもの-. 2017
久保田浩行, 黒田真也. トランスオミクス解析が暴き出す相互作用ネットワークの全体像. 医学のあゆみ. 2016. 259. 8. 843-848

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Books (3)：

生物をシステムとして理解する-細胞とラジオは同じ!?-
共立出版 2018
トランスオミクス解析:次なるシグナリング研究を担えるか?
羊土社 2015
Protein Modifications in Pathogenic Dysregulation of Signaling
Springer

Education (3)：

1998 - 2001 The University of Tokyo
1996 - 1998 The University of Tokyo
- 1996 Tokyo Institute of Technology School of Bioscience and Biotechnology

Work history (7)：

2014/04 - Kyushu University Medical Institute of Bioregulation
2013/10 - さきがけ研究員
2013/07 - The University of Tokyo
2009/04 - The University of Tokyo
2006/04 - The University of Tokyo

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