Author

Takafumi Shichijo

Kumamoto UniversityORCID 0000-0002-1272-3738Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Microbiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Jun‐ichirou YasunagaiD· 2 shared Masao MatsuokaiD· 2 shared Akari MatsukiiD· 1 shared Asami Yamada· 1 shared Iqra Rashid· 1 shared Junya SunagawaiD· 1 shared Ki‐Ryang Koh· 1 shared Kisato NosakaiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersMicrobiology

Jun‐ichirou YasunagaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

JunB-HBZ nuclear translocation by TGF-β is a key driver in HTLV-1-mediated leukemogenesis

Wenyi Zhang, Takafumi Shichijo, Xueda Chen, Miho Watanabe, Kisato Nosaka, Masao Matsuoka, Jun‐ichirou Yasunaga

This study shows that TGF-β-induced nuclear translocation of HBZ-JunB complexes drives HTLV-1-mediated leukemogenesis.

Proceedings of the National Academy of Sciences · Jun 23, 2025Peer-reviewedMicrobiology

Machine Learning-based Identification and Characterization of High-risk Carriers of HTLV-1-Associated Myelopathy (HAM)

Iqra Rashid, Junya Sunagawa, Akari Matsuki, Asami Yamada, Toshiki Watanabe, Masako Iwanaga, Ki‐Ryang Koh, Takafumi Shichijo, Masao Matsuoka, Jun‐ichirou Yasunaga, Shinji Nakaoka

This study uses machine learning to identify high-risk HTLV-1 carriers likely to develop HAM by analyzing proviral load and antibody titers.

bioRxiv · Mar 17, 2025 · PreprintSystems Biology