Author

A. Niida

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cancer & tumor microenvironment· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:simulation· 1 Research Focus:variant calling· 1

Frequent Co-Authors

K. Mimori· 2 shared S. Miyano· 2 shared A. Hayashi· 1 shared A. Kikuchi· 1 shared B.-C. Chen· 1 shared C. Terao· 1 shared E. Betzig· 1 shared H. Innan· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersCell Biology

K. Mimori

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Combined landscape of single-nucleotide variants and copy-number alterations in clonal hematopoiesis

R. Saiki, Y. Momozawa, Y. Nannya, M. M. Nakagawa, Y. Ochi, T. Yoshizato, C. Terao, Y. Kuroda, Y. Shiraishi, K. Chiba, H. Tanaka, A. Niida, S. Imoto, K. Matsuda, T. Morisaki, , S. Ogawa

The paper combines SNVs/indels and CNAs analysis in CH to show their co-occurrence and impact on health outcomes.

bioRxiv · Mar 5, 2021Cancer Biology

Adaptive fitness in APC-mutant cells requires chromosome rearrangements

Y. Kawasaki, T. Hamaji, K. Owada, A. Hayashi, Y. Wu, T. Nogi, M. Okada, S. Sakai, N. Tokushige, S. Sasagawa, H. Nakagawa, Y. Kouyama, A. Niida, K. Mimori, T. Kuroda, , Y. Mimori-Kiyosue

The paper shows that APC-mutant cells gain adaptive fitness through chromosome rearrangements that restore AURKA activity and counteract mitotic defects.

bioRxiv · Sep 18, 2020 · PreprintCell Biology

A unified simulation model for understanding the diversity of cancer evolution

A. Niida, T. Hasegawa, H. Innan, T. Shibata, K. Mimori, S. Miyano

This study develops a unified simulation model to analyze cancer evolution dynamics and identifies conditions under which different evolutionary processes drive tumor growth.

bioRxiv · Jan 28, 2020Cancer Biology