Author

Mayu Hasegawa

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· 2 Biochemistry· 1 Bioengineering· 1

Signature Assays, Organisms & Methods

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Assay:metabolomics· 4 Organism:mouse· 3 Approach:deep learning· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

Hiroshi TsugawaiD· 4 shared Junki MiyamotoiD· 4 shared Mikiko TakahashiiD· 4 shared Yuki Matsuzawa· 4 shared Hiroaki TakedaiD· 3 shared Kanako TokiyoshiiD· 3 shared Bujinlkham Buyantogtokh· 2 shared Makoto AritaiD· 2 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersBioinformatics

Hiroshi TsugawaORCID

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Author profile →

4 papers

Recent·Most cited

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

Data-independent acquisition coupled with electron-activated dissociation for in-depth structure elucidation of fatty acid ester of hydroxy fatty acids

Yuto Kurizaki, Yuki Matsuzawa, Mikiko Takahashi, Hiroaki Takeda, Mayu Hasegawa, Makoto Arita, Junki Miyamoto, Hiroshi Tsugawa

This study develops a LC-SWATH-EAD-MS/MS method to deeply characterize FAHFAs in mouse fecal samples, identifying multiple structural variants and age-related changes.

Analytical Chemistry · Apr 4, 2025Peer-reviewedBiochemistry

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

Using data-dependent and independent hybrid acquisitions for fast liquid chromatography-based untargeted lipidomics

Kanako Tokiyoshi, Yuki Matsuzawa, Mikiko Takahashi, Hiroaki Takeda, Mayu Hasegawa, Junki Miyamoto, Hiroshi Tsugawa

The paper proposes a hybrid LC-MS/MS approach combining data-dependent and data-independent acquisitions to improve lipid annotation in fast untargeted lipidomics.

Analytical Chemistry · Jan 11, 2024Peer-reviewedBioinformatics