Author

Tetsuya Mori

RIKEN Center for Sustainable Resource ScienceORCID 0000-0001-5347-8890Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Tetsuya Mori2 papers · Nagase (Japan)

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Hiroshi TsugawaiD· 2 shared Yoshimasa Todoroki· 2 shared Yuki Matsuzawa· 2 shared Aleš KvasničkaiD· 1 shared Amit RaiiD· 1 shared Bujinlkham Buyantogtokh· 1 shared Haruki UchinoiD· 1 shared Hidenori TakahashiiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBiochemistry

Hiroshi TsugawaORCID

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2 papers

Recent·Most cited

Stable isotope-assisted computational mass spectrometry reveals root-specific alkaloids in Glycyrrhiza species

Keita Sawai, Yoshimasa Todoroki, Shohei Nakamukai, Yuki Matsuzawa, Keiichi Noguchi, Toshiyo Kato, Tetsuya Mori, Amit Rai, Masami Yokota Hirai, Hiroshi Tsugawa

The paper uses stable isotope-assisted mass spectrometry to identify root-specific alkaloids in Glycyrrhiza species and proposes their biosynthetic pathway.

bioRxiv · May 8, 2026 · PreprintBiochemistry

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