Author

Miki Eto

The University of Tokyo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Systems Biology· 3

Signature Assays, Organisms & Methods

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Organism:mouse· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Assay:electronic health records· 1

Frequent Co-Authors

Hiroyuki KubotaiD· 3 shared Ken‐ichi HironakaiD· 3 shared Masashi FujiiiD· 3 shared Shinya KurodaiD· 3 shared Akiyoshi HirayamaiD· 2 shared Atsushi HatanoiD· 2 shared Hiroshi InoueiD· 2 shared Katsuyuki YugiiD· 2 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersSystems Biology

Hiroyuki KubotaORCID

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3 papers

Recent·Most cited

In vivo transomic analyses of glucose-responsive metabolism in skeletal muscle reveal core differences between the healthy and obese states

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, , Shinya Kuroda

This study uses multiomic analysis of skeletal muscle in obese and healthy mice to reveal differences in metabolic regulation by metabolites and genes after glucose administration.

Scientific Reports · Aug 12, 2022Peer-reviewedSystems Biology

Trans-omic analysis reveals allosteric and gene regulation-axes for altered glucose-responsive liver metabolism associated with obesity

Toshiya Kokaji, Atsushi Hatano, Yuki Ito, Katsuyuki Yugi, Miki Eto, Satoshi Ohno, Masashi Fujii, Ken‐ichi Hironaka, Riku Egami, Hiroshi Inoue, Shinsuke Uda, Hiroyuki Kubota, Yutaka Suzuki, Kazutaka Ikeda, Makoto Arita, , Shinya Kuroda

The paper analyzes trans-omic data from healthy and obese mice to reveal that glucose-responsive liver metabolism is regulated by rapid changes in metabolites and gene expression in the healthy state, and by slow transcriptional regulation in the obese state.

bioRxiv · May 31, 2019 · PreprintSystems Biology

Single-cell information analysis reveals small intra- and large intercellular variations increase cellular information capacity

Takumi Wada, Mitsutaka Wataya, Masashi Fujii, Ken‐ichi Hironaka, Miki Eto, Shinsuke Uda, Daisuke Hoshino, Katsuyuki Kunida, Haruki Inoue, Hiroyuki Kubota, Hiroki Hamaguchi, Yasuro Furuichi, Yasuko Manabe, NOBUHARU L. FUJII, Shinya Kuroda

The paper shows that small intracellular and large intercellular variations enhance information transmission, enabling precise tissue function control.

bioRxiv · May 29, 2019 · PreprintSystems Biology