Author

Hiroshi I. Suzuki

Institute for Glyco-core ResearchORCID 0000-0003-4682-5086Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Molecular Biology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:clustering· 1

Frequent Co-Authors

Akifumi Takaori‐KondoiD· 1 shared Akinori YodaiD· 1 shared Albin ÖsterroosiD· 1 shared Anna RobeliusiD· 1 shared Atsushi SuzukiiD· 1 shared Ayana KoniD· 1 shared Bénédicte Piauger· 1 shared Emma Ölander· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

Akifumi Takaori‐KondoORCID

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintMay 24, 2026

Chromatin landscape and epigenetic heterogeneity of acute myeloid leukemia

Yotaro Ochi, Markus Liew-Littorin, Yasuhito Nannya…·Seishi Ogawa

This study identifies 16 AML subgroups based on chromatin accessibility profiles using ATAC-seq in 1,563 cases, revealing epigenetic heterogeneity and its clinical and therapeutic implications.

DOI 10.64898/2026.03.22.711973

humanscATAC-seq

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Molecular BiologybioRxivPreprintJun 6, 2025

RNA Dynamics Regulate Transcriptional Condensate Vivacity to Drive Gene Coordination

Koichi Ogami, Ming Zheng, Seiko Yoshino…·Hiroshi I. Suzuki

The paper shows RNA exosome activity maintains transcriptional condensate stability and fluidity, which is essential for coordinated gene expression and cellular homeostasis.

3 citations

humanbulk RNA-seq

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Molecular BiologybioRxivPreprintOct 31, 2020

Programmable downsizing of CRISPR-Cas9 activity for precise and safe genome editing

Masaki Kawamata, Hiroshi I. Suzuki, Ryota Kimura, Atsushi Suzuki

The paper introduces a method to programmably reduce CRISPR-Cas9 activity by modifying sgRNAs, enabling precise and safer genome editing with reduced off-target effects and improved mono-allelic editing.

DOI 10.1101/2020.10.31.361733

humanmouse

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