Author

Akira Kunitomi

Gladstone Institute of Cardiovascular DiseaseORCID 0000-0001-8310-067XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Kaho Washizu· 2 shared Shinya YamanakaiD· 2 shared Alexis J. CombesiD· 1 shared Andrew C. YangiD· 1 shared Bumjoon Kim· 1 shared Chris Thompson· 1 shared Christina V. TheodorisiD· 1 shared Dereck M Phan· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCell Biology

Kaho Washizu

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2 papers

Recent·Most cited

Cell BiologybioRxivPreprintNov 12, 2026

Partial reprogramming reveals lineage-specific uncoupling of rejuvenation, function, and recoverability in human cells

Kaho Washizu, Xun Wang, Julia M. Draper…·Akira Kunitomi

This study shows that partial reprogramming leads to different recovery outcomes in human fibroblasts, T cells, and endothelial cells, revealing lineage-specific tradeoffs between rejuvenation and recovery.

DOI 10.64898/2026.11.09.764947

humanDNA methylation

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BioinformaticsbioRxivPreprintApr 1, 2026

Temporal AI model predicts drivers of cell state trajectories across human aging

Javier Gómez Ortega, Rangarajan D. Nadadur, Akira Kunitomi…·Christina V. Theodoris

The paper introduces a temporal AI model, MaxToki, trained on extensive gene data to predict cell state changes across human aging and identifies age-modulating targets.

1 citation

humanbulk RNA-seq

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