Author

Manami Takeuchi

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

Click to filter author papers

Bioengineering· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:metabolomics· 3 Organism:mouse· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Hiroshi TsugawaiD· 3 shared Bujinlkham Buyantogtokh· 2 shared Hiroaki TakedaiD· 2 shared Junki MiyamotoiD· 2 shared Kanako TokiyoshiiD· 2 shared Mayu Hasegawa· 2 shared Mikiko TakahashiiD· 2 shared Takaki OkaiD· 2 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioengineering

Hiroshi TsugawaORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Sodium ion-assisted structural lipidomics for sphingolipid profiling

Hiroaki Takeda, Daiki Asakawa, Manami Takeuchi, Hiroshi Tsugawa

This study develops a sodium ion-assisted structural lipidomics method to improve ceramide annotation by stabilizing ions and enabling structural determination of hydrophobic moieties.

bioRxiv · Feb 5, 2026 · PreprintBioengineering

A dual-dimensional deconvolution environment for ZT Scan DIA in metabolomics

Yuki Matsuzawa, Kanako Tokiyoshi, Bujinlkham Buyantogtokh, Takaki Oka, Rana Yamamoto, Lu Deng, Gordana Ivosev, David Cox, Paul R.S. Baker, Anjali Chelur, Nic Bloomfield, Manami Takeuchi, Ushio Takeda, Mikiko Takahashi, Mayu Hasegawa, , Hiroshi Tsugawa

The paper introduces ZT Scan DIA, a metabolomics method improving annotation rates and isomer quantification in complex mixtures, with results validated in human plasma and mouse liver tissues.

bioRxiv · Aug 20, 2025 · PreprintBioengineering

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