T
Tetsuya Yomo
Researcher at East China Normal University
Publications - 295
Citations - 8077
Tetsuya Yomo is an academic researcher from East China Normal University. The author has contributed to research in topics: Gene & Population. The author has an hindex of 47, co-authored 286 publications receiving 7329 citations. Previous affiliations of Tetsuya Yomo include University of Tokyo & National Presto Industries.
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Journal ArticleDOI
Adaptive Response of a Gene Network to Environmental Changes by Fitness-Induced Attractor Selection
TL;DR: In a synthetic bistable gene switch in Escherichia coli, cells reliably selected the “adaptive attractor” driven by gene expression noise, and may represent a primordial mechanism for adaptive responses that preceded the evolution of signaling cascades for the frequently encountered environmental changes.
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Synthesis of functional protein in liposome.
Wei Yu,Kanetomo Sato,Maki Wakabayashi,Tomoyuki Nakaishi,Elizabeth P. Ko-Mitamura,Yasufumi Shima,Itaru Urabe,Tetsuya Yomo,Tetsuya Yomo +8 more
TL;DR: The Liposome consisting of eggPC, cholesterol, and DSPE-PEG5000 with a molar ratio of 1.5:1:0.08 was used to entrap cell-free protein synthesis reaction mixture and the synthesis of a mutant green fluorescent protein in the liposome was confirmed by the fluorescence emitted from theliposome on flow cytometry analysis and fluorescence microscopy.
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Expression of a cascading genetic network within liposomes
TL;DR: It is shown that the two‐stage genetic network constructed in a cell‐free expression system is functional within liposomes.
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Protein folding by the effects of macromolecular crowding
Nobuhiko Tokuriki,Masataka Kinjo,Shigeru Negi,Masaru Hoshino,Yuji Goto,Itaru Urabe,Tetsuya Yomo +6 more
TL;DR: Results show that macromolecules are favored compact conformations in the presence of a high concentration of macromolescules and indicate the importance of a crowded environment for the folding and stabilization of globular proteins.
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On the relation between fluctuation and response in biological systems.
TL;DR: A relationship where the two are proportional, in a similar way to the fluctuation–dissipation theorem in physics is proposed, and a positive correlation between the speed of fluorescence evolution and the phenotypic fluctuation of the fluorescence over clone bacteria is observed.