Author

Michihiro Kono

Keio UniversityORCID 0000-0003-2245-943XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Assay:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Akari SuzukiiD· 3 shared Bunki NatsumotoiD· 3 shared Hajime InokuchiiD· 3 shared Haruka TakahashiiD· 3 shared Hiroaki HatanoiD· 3 shared Kazuhiko YamamotoiD· 3 shared Kazuyoshi IshigakiiD· 3 shared Kenichiro Asahara· 3 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Akari SuzukiORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineNature CommunicationsPeer-reviewedJul 20, 2026

Accurate, sensitive, and efficient chromatin accessibility quantification at target loci using UNIChro-seq.

Michihiro Kono, Hiroaki Hatano, Kenichiro Asahara…·Kazuyoshi Ishigaki

The paper introduces UNIChro-seq, a method for quantifying chromatin accessibility at target loci, and demonstrates its application in analyzing disease risk alleles and genome-edited variants.

1 citation

humanATAC-seq

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GeneticsbioRxivPreprintJul 2, 2026

CATaN maps gene regulatory programs that shape genetic risk across complex diseases

Haruka Takahashi, Hiroaki Hatano, Michihiro Kono…·Kazuyoshi Ishigaki

CATaN integrates TF-GRNs and transcriptomes to identify genetic risk components across complex diseases, finding 588 significant CC components enriched for SNP heritability.

DOI 10.64898/2026.06.28.735120

humanmouse

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ImmunologybioRxivPreprintMar 10, 2026

Deep immune profiling pinpoints cellular and molecular drivers of lupus immunopathology

Masahiro Nakano, Michihiro Kono, Kenichiro Asahara…·Kazuyoshi Ishigaki

The paper identifies novel cell states and molecular profiles in lupus patients using single-cell data, linking them to disease severity and treatment outcomes.

1 citation

humanscRNA-seq

𝕏 PostBluesky