Author

Katsuyuki Yugi

Keio UniversityORCID 0000-0002-2046-4289Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 4 Research Focus:gene regulatory network inference· 4 Organism:mouse· 4 Approach:statistical model· 4 Approach:experimental assay· 1 Assay:metabolomics· 1 Assay:proteomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Atsushi HatanoiD· 4 shared Shinya KurodaiD· 4 shared Tomoyoshi SogaiD· 4 shared Toshiya KokajiiD· 4 shared Akiyoshi HirayamaiD· 3 shared Hiroshi InoueiD· 3 shared Hiroyuki KubotaiD· 3 shared Masaki MatsumotoiD· 3 shared

Activity by Year

2017-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersSystems Biology

Atsushi HatanoORCID

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5 papers

Recent·Most cited

Trans-omic analysis reveals opposite metabolic dysregulation between feeding and fasting in liver associated with obesity

Yunfan Bai, Keigo Morita, Toshiya Kokaji, Atsushi Hatano, Satoshi Ohno, Riku Egami, Yifei Pan, Dongzi Li, Katsuyuki Yugi, Saori Uematsu, Hiroshi Inoue, Yuka Inaba, Yutaka Suzuki, Masaki Matsumoto, Masatomo Takahashi, , Shinya Kuroda

The paper compares metabolic dysregulation in obese mice during feeding and fasting using multi-omics data, revealing opposite metabolic shifts linked to obesity.

iScience · Feb 26, 2024Peer-reviewedSystems Biology

transomics2cytoscape: An automated software for interpretable 2.5-dimensional visualization of trans-omic networks

Kozo Nishida, Junichi Maruyama, Kazunari Kaizu, Koichi Takahashi, Katsuyuki Yugi

The paper introduces transomics2cytoscape, an R package for automated 2.5D visualization of trans-omics networks, enabling rapid and dynamic interpretation of multi-omics data.

npj Systems Biology and Applications · Feb 19, 2024Peer-reviewedSystems Biology

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

Trans-omic analysis reveals fed and fasting insulin signal across phosphoproteome, transcriptome, and metabolome

Kentaro Kawata, Katsuyuki Yugi, Atsushi Hatano, Masashi Fujii, Yoko Tomizawa, Toshiya Kokaji, Takanori Sano, Kaori Y. Tanaka, Shinsuke Uda, Hiroyuki Kubota, Yutaka Suzuki, Masaki Matsumoto, Keiichi I. Nakayama, Kaori Saitoh, Keiko Kato, , Shinya Kuroda

The paper constructs a trans-omic network of insulin action using phosphoproteomic, transcriptomic, and metabolomic data to identify fed and fasting insulin signals.

bioRxiv · Sep 11, 2017 · PreprintSystems Biology