Author

Hatsumi Okada

RIKEN

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Developmental Biology· 2 Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:C. elegans· 4 Assay:imaging· 4 Approach:statistical model· 4 Research Focus:differential expression· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

Shuichi OnamiiD· 4 shared Koji KyodaiD· 2 shared Hiroya ItogaiD· 1 shared Jun TakayamaiD· 1 shared Momoko Imakubo· 1 shared Yusuke AzumaiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 7 mutual co-author links

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4 shared papersDevelopmental Biology

Shuichi OnamiORCID

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4 papers

Recent·Most cited

A Computational Framework for Extracting Mechanistic Hypotheses from Quantitative Data of Morphological Dynamics

Koji Kyoda, Hatsumi Okada, Shuichi Onami

The paper introduces a computational framework to extract mechanistic hypotheses from morphological dynamics data by analyzing correlations and gene perturbations in C. elegans embryos.

bioRxiv · Jun 15, 2026 · PreprintSystems Biology

Systematic analysis of cell morphodynamics in C. elegans early embryogenesis

Yusuke Azuma, Hatsumi Okada, Shuichi Onami

This study systematically quantifies cell morphodynamics in C. elegans embryos, revealing high reproducibility and unique dynamics across cells.

Frontiers in Bioinformatics · Mar 21, 2023Peer-reviewedDevelopmental Biology

Statistical image processing quantifies the changes in cytoplasmic texture associated with aging in Caenorhabditis elegans oocytes

Momoko Imakubo, Jun Takayama, Hatsumi Okada, Shuichi Onami

The paper quantifies age-related changes in C. elegans oocyte cytoplasmic texture using statistical image processing methods.

BMC Bioinformatics · Feb 17, 2021Peer-reviewedBioinformatics

Deep Collection of Quantitative Nuclear Division Dynamics Data in RNAi-treated Caenorhabditis elegans Embryos

Koji Kyoda, Hatsumi Okada, Hiroya Itoga, Shuichi Onami

The paper creates a deep collection of quantitative nuclear division dynamics data from RNAi-treated C. elegans embryos, identifies 8660 reproducible RNAi phenotypes, and suggests 24 functional processes in early embryogenesis.

bioRxiv · Oct 4, 2020 · PreprintDevelopmental Biology