Author

Daisuke Yamanaka

Tokyo University of Pharmacy and Life SciencesORCID 0000-0002-0046-7052Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:fungi (other)· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Akiko Nagamori· 1 shared Ami KoizumiiD· 1 shared Atsushi MiyashitaiD· 1 shared Bo WangiD· 1 shared Charles M. BooneiD· 1 shared Duncan T. ForsteriD· 1 shared Fumiaki Tabuchi· 1 shared Gary D. BaderiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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

Curved chords = mutual co-authorship

1 shared paperMicrobiology

Akiko Nagamori

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Novel cell wall-associated genes that enable Cryptococcus neoformans to evade dectin-1-mediated innate immune recognition.

Keigo Ueno, Akiko Nagamori, Nahoko Oniyama Honkyu, Daisuke Yamanaka, Ken Miyazawa, Ami Koizumi, Kyung Joo Kwon-Chung, Yoshitsugu Miyazaki

This study identifies novel cell wall-associated genes in Cryptococcus neoformans that mask β-1,3-glucan and enable evasion of dectin-1 immune recognition.

bioRxiv · Aug 7, 2026 · PreprintMicrobiology

N-acetylchitohexaose induces immune priming against Pseudomonas aeruginosa infection in the silkworm, Bombyx mori

Kazuhiro Mikami, Hiroto Nakajima, Masaki Ishii, Daisuke Yamanaka, Fumiaki Tabuchi, Masashi Muroi, Koichi Makimura, Shinya Ohata, Atsushi Miyashita

This study identifies a putative glycan receptor in silkworms based on structural similarity to human LYSMD3 and shows that N-acetylchitohexaose induces immune priming against Pseudomonas aeruginosa infection.

Infection and Immunity · Nov 18, 2025Peer-reviewedImmunology

BIONIC: Biological Network Integration using Convolutions

Duncan T. Forster, Sheena Claire Li, Yoko Yashiroda, Mami Yoshimura, Zhijian Li, Luis Alberto Vega Isuhuaylas, Kaori Itto‐Nakama, Daisuke Yamanaka, Yoshikazu Ohya, Hiroyuki Osada, Bo Wang, Gary D. Bader, Charles M. Boone

BIONIC integrates biological networks using deep learning to improve accuracy and scalability, identifying novel gene interactions in yeast.

Nature Methods · Oct 1, 2022Peer-reviewedBioinformatics