Author

Tatsuhiro Shibata

Institute of Medical Science, The University of TokyoORCID 0000-0002-0477-210XUnclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Tatsuhiro Shibata1 paper

Biology Disciplines

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Bioinformatics· 2 Genomics· 2

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Research Focus:variant calling· 2 Research Focus:clustering· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Eisaku Furukawa· 2 shared Mamoru KatoiD· 2 shared Momoko Nagai· 2 shared Yasuhito AraiiD· 2 shared Ai OkadaiD· 1 shared Aida Ferreiro-IglesiasiD· 1 shared Akihiko FukagawaiD· 1 shared Algirdas ŽalimasiD· 1 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioinformatics

Eisaku Furukawa

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4 papers

Recent·Most cited

tugMedi: simulator of cancer-cell evolution for personalized medicine based on the genomic data of patients

Iurii Nagornov, Eisaku Furukawa, Momoko Nagai, Shigehiro Yagishita, Tatsuhiro Shibata, Mamoru Kato

tugMedi simulates cancer-cell evolution using patient genomic data to predict drug responses and tumor dynamics.

npj Systems Biology and Applications · May 13, 2026Peer-reviewedBioinformatics

Systemic mutagen exposures reported by normal kidney cell genomes

Yichen Wang, W. Knight, Aida Ferreiro-Iglesias, Behnoush Abedi‐Ardekani, My H. Pham, Sarah Moody, Yvette E. Hooks, Federico Abascal, Charles Nunn, Stephen F. Fitzgerald, Thomas Cattiaux, Valérie Gaborieau, Akihiko Fukagawa, Viorel Jinga, Ștefan Rașcu, , Michael R. Stratton

The paper identifies mutational signatures in normal kidney cells from multiple countries, revealing exposure to exogenous mutagens including aristolochic acids and unknown agents prevalent in Japan.

bioRxiv · Apr 9, 2026 · PreprintGenomics

Precise characterization of somatic complex structural variations from paired long-read sequencing data with nanomonsv

Yuichi Shiraishi, Junji Koya, Kenichi Chiba, Ai Okada, Yasuhito Arai, Yuki Saito, Tatsuhiro Shibata, Keisuke Kataoka

nanomonsv detects somatic structural variations from long-read sequencing data with high precision and recall, revealing complex SV features in cancer.

Nucleic Acids Research · Jun 8, 2023Peer-reviewedBioinformatics

Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

Hanako Ono, Yasuhito Arai, Eisaku Furukawa, Daichi Narushima, Tetsuya Matsuura, Hiromi K. Nakamura, Daisuke Shiokawa, Momoko Nagai, Toshio Imai, Koshi Mimori, Koji Okamoto, Yoshitaka Hippo, Tatsuhiro Shibata, Mamoru Kato

This study uses single-cell DNA and RNA sequencing to analyze intra-tumor heterogeneity dynamics in a mouse colorectal cancer model, finding increased RNA heterogeneity and decreased DNA heterogeneity after transplantation.

BMC Biology · Sep 21, 2021Peer-reviewedGenomics