Author

Yuki Naito

Institute of Science TokyoORCID 0000-0002-1182-6786Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:CRISPR screen· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Hidemasa U. BonoiD· 1 shared Hiromasa OnoiD· 1 shared Hiroshi AsaharaiD· 1 shared Izumi OhnoiD· 1 shared K. YamamotoiD· 1 shared Kazuki NakamaeiD· 1 shared Ryota KurimotoiD· 1 shared Sora YonezawaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenomics

Hidemasa U. BonoORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

NAT10 supports CAG repeat-associated mRNA stabilization and is associated with hepatic metabolic reprogramming during spaceflight

Ryota Kurimoto, Tomoaki Tanaka, Izumi Ohno, Tomoki Chiba, Takahide Matsushima, Yutaro Uchida, Yuki Naito, Hiroshi Asahara

This study identifies NAT10 as a regulator of CAG repeat-containing mRNA stability and links its upregulation in spaceflight to metabolic reprogramming in mouse liver.

bioRxiv · Sep 18, 2026 · PreprintMolecular Biology

Risk Prediction of RNA Off-Targets of CRISPR Base Editors in Tissue-Specific Transcriptomes Using Language Models

Kazuki Nakamae, Takayuki Suzuki, Sora Yonezawa, K. Yamamoto, Taro Kakuzaki, Hiromasa Ono, Yuki Naito, Hidemasa U. Bono

The paper develops PiCTURE and machine learning models to predict RNA off-target effects of CRISPR base editors in tissue-specific transcriptomes, finding higher risks in colon and lungs compared to brain and ovaries.

International Journal of Molecular Sciences · Feb 18, 2025Peer-reviewedGenomics