Author

Masaya Nakamura

Keio UniversityORCID 0000-0002-2279-7028Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:scRNA-seq· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Hideyuki OkanoiD· 3 shared Munehisa ShinozakiiD· 2 shared Narihito NagoshiiD· 2 shared Atsushi MiyawakiiD· 1 shared Haruhiko BitoiD· 1 shared Haruka OzakiiD· 1 shared Hirotaka MatsumotoiD· 1 shared Itoshi NikaidoiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersNeuroscience

Hideyuki OkanoORCID

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3 papers

Recent·Most cited

biPACT: a method for three-dimensional visualization of mouse spinal cord circuits of long segments with high resolution

Katsuyuki Nakanishi, Munehisa Shinozaki, Narihito Nagoshi, Masaya Nakamura, Hideyuki Okano

The paper introduces a method to visualize high-resolution 3D mouse spinal cord circuits using staining and clearing techniques without genetic modification or specialized equipment.

Journal of Neuroscience Methods · Sep 1, 2022Peer-reviewedNeuroscience

Novel System to Monitor In Vivo Neural Graft Activity After Spinal Cord Injury

Kentaro Ago, Narihito Nagoshi, Kent Imaizumi, Takahiro Kitagawa, Momotaro Kawai, Keita Kajikawa, Reo Shibata, Yasuhiro Kamata, Kota Kojima, Munehisa Shinozaki, Takahiro Kondo, Satoshi Iwano, Atsushi Miyawaki, Masanari Ohtsuka, Haruhiko Bito, , Hideyuki Okano

This paper introduces a non-invasive in vivo imaging system to monitor neural graft activity after spinal cord injury and shows graft integration with host behavior.

bioRxiv · Aug 29, 2021 · PreprintNeuroscience

A NMF-based approach to discover overlooked differentially expressed gene regions from single-cell RNA-seq data

Hirotaka Matsumoto, Tetsutaro Hayashi, Haruka Ozaki, Koki Tsuyuzaki, Mana Umeda, Tsuyoshi Iida, Masaya Nakamura, Hideyuki Okano, Itoshi Nikaido

The paper introduces an NMF-based method to identify overlooked differentially expressed gene regions in single-cell RNA-seq data, finding novel transcripts related to neural stem/progenitor cell differentiation.

NAR Genomics and Bioinformatics · Dec 16, 2019Peer-reviewedBioinformatics