Author

A. Uemura

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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Cell Biology· 2 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:cell signaling & trafficking· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Organism:Drosophila· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

T. Miura· 2 shared A. V. Carluccio· 1 shared C. Spillane· 1 shared D. Asanuma· 1 shared E. Kiyokawa· 1 shared G. Girma· 1 shared H. Matsumura· 1 shared H. Takagi· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersCell Biology

T. Miura

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Author profile →

3 papers

Recent·Most cited

Quantitative modeling of regular retinal microglia distribution

Y. Endo, D. Asanuma, S. Namiki, K. Hirose, A. Uemura, Y. Kubota, T. Miura

The paper quantitatively analyzes microglia distribution regularity, formulates a mathematical model, and identifies direct cell-cell contact as the key factor in generating regular spacing.

bioRxiv · Jun 30, 2021Cell Biology

A new microcirculation culture method with a self-organized capillary network

K. Sugihara, Y. Yamaguchi, S. Usui, Y. Nashimoto, S. Hanada, E. Kiyokawa, A. Uemura, R. Yokokawa, K. Nishiyama, T. Miura

This paper introduces a microcirculation culture method that creates a self-organized capillary network, enabling perfusion and observation of vascular remodeling and cell behavior.

bioRxiv · May 12, 2020Cell Biology

Identification of candidate flowering and sex genes in white Guinea yam (D. rotundata Poir.) by SuperSAGE transcriptome profiling

G. Girma, S. Natsume, A. V. Carluccio, H. Takagi, H. Matsumura, A. Uemura, S. Muranaka, H. Takagi, L. Stavolone, M. Gedil, C. Spillane, R. Terauchi, M. Tamiru

This study identifies candidate flowering and sex genes in white Guinea yam using SuperSAGE transcriptome profiling and validates them with qRT-PCR, revealing conserved mechanisms and sex-related flowering patterns.

bioRxiv · May 2, 2019Plant Biology