Author

Atsushi Okuma

Hitachi (Japan)ORCID 0000-0002-9086-1781Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:CITE-seq· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1

Frequent Co-Authors

Shoji Hisada· 3 shared Yoshihito Ishida· 3 shared Daisuke Ito· 2 shared Kei YoshidaiD· 2 shared Taketo Kawara· 2 shared Takuya Miura-Yamashita· 2 shared Ryoichi TakaseiD· 1 shared Satoru Mimura· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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3 shared papersBioengineering

Shoji Hisada

Mutual co-authors in cluster

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3 papers

Recent·Most cited

BioengineeringbioRxivPreprintJul 29, 2026

A practical workflow for CAR screening in primary T cells using fitness-guided design and mRNA electroporation

Atsushi Okuma, Yoshihito Ishida, Shoji Hisada

The paper presents a workflow for screening CAR variants in primary T cells using fitness-guided design and mRNA electroporation, identifying improved variants with enhanced cytotoxicity.

DOI 10.64898/2026.07.28.741207

humanproteomics

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Synthetic BiologybioRxivPreprintMar 31, 2026

Cytotoxicity-based High-throughput Screening System for CAR T Cell

Atsushi Okuma, Yoshihito Ishida, Takuya Miura-Yamashita…·Shizu Takeda

This study develops a high-throughput screening system for CAR T cells based on cytotoxicity, enabling efficient evaluation of CAR designs and identification of superior variants.

DOI 10.64898/2026.03.31.715247

humanCITE-seq

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BioinformaticsBMC BioinformaticsPeer-reviewedFeb 25, 2026

Enhancing CAR-T cell activity prediction via fine-tuning protein language models with generated CAR sequences

Kei Yoshida, Shoji Hisada, Ryoichi Takase…·Daisuke Ito

This study fine-tunes a protein language model with generated CAR sequences to predict CAR-T cell activity, showing improved performance with optimized training parameters.

3 citationstop 2%

protein sequencemachine learning (classical)

𝕏 PostBluesky