Author

Mi Hwa Chung

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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Biochemistry· 1 Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Hiroshi TsugawaiD· 3 shared Hina Sakai· 2 shared Katsuya OhbuchiiD· 2 shared Kazuya TsumagariiD· 2 shared Koshi ImamiiD· 2 shared Makoto AritaiD· 2 shared Saki Kiuchi· 2 shared Taiki NakayaiD· 2 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersBiochemistry

Hiroshi TsugawaORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Elucidation of the anti-inflammatory mechanism of isoliquiritigenin from Glycyrrhiza uralensis using activity-based protein profiling

Hina Sakai, Mi Hwa Chung, Taiki Nakaya, Katsuya Ohbuchi, Yosuke Isobe, Makoto Arita, Kazuya Tsumagari, Koshi Imami, Takatsugu Hirokawa, Hiroshi Tsugawa

This study identifies L-PGDS as a covalent target of isoliquiritigenin, revealing its anti-inflammatory mechanism through suppression of PGD2 production.

bioRxiv · May 8, 2026 · PreprintBiochemistry

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