研究者
J-GLOBAL ID：202001013582096873   更新日: 2024年01月30日

廣中 謙一

ヒロナカ ケンイチ | Hironaka Ken-ichi
研究分野 (2件)： 生物物理学 ,  システムゲノム科学
競争的資金等の研究課題 (1件)：
  • 2017 - 2019 最適制御理論に基づく環境依存的な成長と代謝の調節機構に関するeco-devo研究
論文 (24件)：
  • 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. 19118
  • Suguru Fujita, Yasuaki Karasawa, Ken-ichi Hironaka, Y-h. Taguchi, Shinya Kuroda. Features extracted using tensor decomposition reflect the biological features of the temporal patterns of human blood multimodal metabolome. 2022
  • 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
もっと見る
MISC (2件)：
  • Takumi Wada, Mitsutaka Wataya, Masashi Fujii, Ken-ichi Hironaka, Miki Eto, Shinsuke Uda, Daisuke Hoshino, Katsuyuki Kunida, Haruki Inoue, Hiroyuki Kubota, et al. Single-cell information analysis reveals small intra- and large intercellular variations increase cellular information capacity. bioRxiv. 2019
  • 松下勝義, 堀部和也, 鎌本直也, 廣中謙一, 藤本仰一. 単純な力学模型による脳の皺形成のシミュレーション. 日本物理学会講演概要集(CD-ROM). 2018. 73. 2
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