Research theme for competitive and other funds (4)：
2019 - 2022 Revealing the mechanism of mechanical regulation in minimal multi-cellular units of epithelial tissues
2018 - 2021 1細胞の生成するトルクから解き明かす形態形成のキラリティ
2017 - 2018 細胞が生成するトルクの新規測定手法を用いたキラルな細胞動態の解明
2014 - 2017 キラルな液晶と場の相互作用による非平衡現象
Papers (17)：
Takaki Yamamoto, Tomoki Ishibashi, Yuko Mimori-Kiyosue, Sylvain Hiver, Naoko Tokushige, Mitsusuke Tarama, Masatoshi Takeichi, Tatsuo Shibata. Epithelial cell chirality emerges through the dynamic concentric pattern of actomyosin cytoskeleton. bioRxiv. 2023
Takaki Yamamoto, Daniel M. Sussman, Tatsuo Shibata, M. Lisa Manning. Non-monotonic fluidization generated by fluctuating edge tensions in confluent tissues. Soft Matter. 2022. 18. 11. 2168-2175
Hiroko Saito, Fumiko Matsukawa-Usami, Toshihiko Fujimori, Toshiya Kimura, Takahiro Ide, Takaki Yamamoto, Tatsuo Shibata, Kenta Onoue, Satoko Okayama, Shigenobu Yonemura, et al. Tracheal motile cilia in mice require CAMSAP3 for the formation of central microtubule pair and coordinated beating. Molecular Biology of the Cell. 2021. 32. 20. ar12-ar12
Ritsuko Morita, Noriko Sanzen, Hiroko Sasaki, Tetsutaro Hayashi, Mana Umeda, Mika Yoshimura, Takaki Yamamoto, Tatsuo Shibata, Takaya Abe, Hiroshi Kiyonari, et al. Tracing the origin of hair follicle stem cells. Nature. 2021. 594. 7864. 547-552
Takaki Yamamoto, Katie Cockburn, Valentina Greco, Kyogo Kawaguchi. Graph-based machine learning reveals rules of spatiotemporal cell interactions in tissues. 2021
Yamamoto Takaki, Sano Masaki. 10aAM-3 Quantitative analysis of Lehmann rotation of the cholesteric liquid crystal droplet under temperature gradient by utilizing FCPM. Meeting abstracts of the Physical Society of Japan. 2014. 69. 2. 224-224
Yamamoto Takaki, Sano Masaki. 28aAA-5 Lehmann Effect of Chiral Liquid Crystals under Temperature Gradient. Meeting abstracts of the Physical Society of Japan. 2014. 69. 1. 401-401
Lectures and oral presentations (25)：
Probing the rules of cell coordination in live tissues by interpretable machine learning based on graph neural networks
(2023)
Probing the rules of cell coordination in live tissues by interpretable machine learning based on graph neural networks
(2023)
Probing the rules of cell coordination in live tissues by interpretable machine learning based on graph neural networks
(Physics of life (UK) 2023)
Chiral cytoplasmic flow emerging from the spatial organization of actin and myosin cytoskeleton
(WCB2022 2022)
Graph-based machine learning reveals rules of spatiotemporal cell interactions in tissues
(2022)
2015/02 - International WE-Heraeus Physics School on "Model systems for understanding biological processes" The rotational motion of chiral liquid crystals under a temperature gradient
