Author

Asuka Kawachi

National Cancer Center Research InstituteORCID 0000-0002-9199-8149Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Assay:ChIP-seq· 1

Frequent Co-Authors

Akihide YoshimiiD· 3 shared Kazuki NishimuraiD· 2 shared Marimu SakumotoiD· 2 shared Masahiko AjiroiD· 2 shared Natsuko ShinoharaiD· 2 shared Ryoichi MaenosonoiD· 2 shared Adam Stuart KibeliD· 1 shared Ai OkadaiD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersCancer Biology

Akihide YoshimiORCID

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3 papers

Recent·Most cited

NECTIN4 defines a subtype-dependent tumor state coupling enfortumab vedotin targetability to antitumor immunity in bladder cancer

Kazuki Nishimura, Ryoichi Maenosono, Takuya Owari, Moritoshi Sakamoto, T Nishino, Kensuke Hirosuna, Takuya Tsujino, Takuya Izumi, Yuki Yoshikawa, Miyu Azuma, Sakura Inoue, Asuka Kawachi, Atsuya Ishida, Kei Nishimori, Junko Mukohyama, , Akihide Yoshimi

The paper identifies NECTIN4 as a subtype-dependent determinant of tumor state and antitumor immunity in bladder cancer, linking its expression to response to enfortumab vedotin and checkpoint inhibitors.

bioRxiv · Oct 9, 2026 · PreprintCancer Biology

A positional and combinatorial regulatory code for alternative splicing

Mina Yoshida, Masahiko Ajiro, Hiroki Ueda, Kazuki Nishimura, Ryoichi Maenosono, Mayumi Hanzawa, Natsuko Shinohara, Marimu Sakumoto, Syuzo Kaneko, Ryuji Hamamoto, Rinshi S. Kasai, Genta Nagae, Hirotaka Matsui, Atsushi Iwama, Hiroyuki Aburatani, , Akihide Yoshimi

This paper introduces SCALE-CLIP, a method to generate comparable RBP binding maps, and defines a positional and combinatorial regulatory code for alternative splicing.

bioRxiv · Jun 24, 2026 · PreprintMolecular Biology

Systematic identification of intron retention associated variants from massive publicly available transcriptome sequencing data

Yuichi Shiraishi, Ai Okada, Kenichi Chiba, Asuka Kawachi, Ikuko Omori, Raúl Nicolás Mateos, Naoko Iida, Hirofumi Yamauchi, Kenjiro Kosaki, Akihide Yoshimi

The paper identifies intron retention associated variants using transcriptome data alone, finding 27,937 variants and 3,077 putative disease-associated ones.

Nature Communications · Sep 29, 2022Peer-reviewedBioinformatics