Author

Saki Kiuchi

Tokyo University of Agriculture and Technology

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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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Assay:metabolomics· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Hiroshi TsugawaiD· 2 shared Mi Hwa Chung· 2 shared Aleš KvasničkaiD· 1 shared Bujinlkham Buyantogtokh· 1 shared Haruki UchinoiD· 1 shared Hidenori TakahashiiD· 1 shared Hina Sakai· 1 shared Hiroaki TakedaiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersSystems Biology

Hiroshi TsugawaORCID

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2 papers

Recent·Most cited

Unraveling anti-inflammatory metabolic signatures of Glycyrrhiza uralensis and isoliquiritigenin through multiomics

Saki Kiuchi, Mi Hwa Chung, Hina Sakai, Taiki Nakaya, Katsuya Ohbuchi, Kazuya Tsumagari, Koshi Imami, Yasuhiro Otoguro, Tomoaki Nitta, Hiroyuki Yamamoto, Kazunori Sasaki, Hiroshi Tsugawa

This study uses multiomics to analyze the anti-inflammatory effects of Glycyrrhiza uralensis and isoliquiritigenin in macrophages, identifying metabolic and phosphorylation changes associated with inflammation suppression.

npj Systems Biology and Applications · Dec 13, 2025Peer-reviewedSystems Biology

MS-DIAL 5 multimodal mass spectrometry data mining unveils lipidome complexities

Hiroaki Takeda, Yuki Matsuzawa, Manami Takeuchi, Mikiko Takahashi, Kozo Nishida, 武士原山, Yoshimasa Todoroki, Kuniyoshi Shimizu, Nami Sakamoto, Takaki Oka, Masashi Maekawa, Mi Hwa Chung, Yuto Kurizaki, Saki Kiuchi, Kanako Tokiyoshi, , Hiroshi Tsugawa

The paper introduces MS-DIAL 5, a tool for analyzing multimodal mass spectrometry data to elucidate lipid structures and localization using structural annotations.

Nature Communications · Nov 28, 2024Peer-reviewedBioinformatics