Author

Eriko Kuwada

Okayama UniversityORCID 0000-0002-5814-3085Unclaimed 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:gene regulatory network inference· 2 Organism:plant (other)· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Naoko Fujita· 2 shared Takashi AkagiiD· 2 shared Atsushi ToyodaiD· 1 shared Ayano Horiuchi· 1 shared Deborah CharlesworthiD· 1 shared Hiroyuki TanakaiD· 1 shared Kanae MasudaiD· 1 shared Kanta KawaiiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetics

Naoko Fujita

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2 papers

Recent·Most cited

Rapid and dynamic evolution of a giant Y chromosome in Silene latifolia

Takashi Akagi, Naoko Fujita, Kenta Shirasawa, Hiroyuki Tanaka, Kiyotaka Nagaki, Kanae Masuda, Ayano Horiuchi, Eriko Kuwada, Kanta Kawai, Riko Kunou, Koki Nakamura, Yoko Ikeda, Atsushi Toyoda, Takehiko Itoh, Koichiro Ushijima, Deborah Charlesworth

The paper describes the discovery of genes underlying male-female flower differences in Silene latifolia and relates findings to the evolution of the Y chromosome's non-recombining regions.

Science · Feb 6, 2025Peer-reviewedGenetics

Explainable AI-guided identification of a novel protein-RNA interactive frame for selective siRNA accumulation in plants

Natsumi Enoki, Eriko Kuwada, Shinnosuke Matsuo, Naoko Fujita, Saki Noda, Yoshikatsu Matsubayashi, Seiichi Uchida, Takashi Akagi

The paper identifies a novel mechanism for selective siRNA accumulation in plants through RNA-protein interactions using deep learning frameworks and experimental validation.

bioRxiv · Dec 2, 2024 · PreprintPlant Biology