Author

A. Matsuhashi

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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Microbiology· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:metagenomics· 3 Research Focus:clustering· 2 Approach:deep learning· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

M. Hosokawa· 3 shared K. Arikawa· 2 shared T. Endoh· 2 shared T. Saeki· 2 shared T. Yoda· 2 shared A. Matsushita· 1 shared H. Takeyama· 1 shared K. Aoki· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersMicrobiology

M. Hosokawa

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Author profile →

3 papers

Recent·Most cited

Single Amplified Genome Catalog Reveals the Dynamics of Mobilome and Resistome in the Human Microbiome

T. Kawano-Sugaya, K. Arikawa, T. Saeki, T. Endoh, K. Kamata, A. Matsuhashi, M. Hosokawa

The paper presents a dataset of single amplified genomes (SAGs) and metagenome-assembled genomes (MAGs) from the human microbiome, revealing microbial diversity, mobile genetic elements, and antibiotic resistance gene dynamics.

bioRxiv · Dec 6, 2023Microbiology

Uncovering novel endolysins against methicillin-resistant Staphylococcus aureus using microbial single-cell genome sequencing

T. Yoda, A. Matsuhashi, A. Matsushita, S. Shibagaki, Y. Sasakura, K. Aoki, M. Hosokawa, S. Tsuda

The paper uses microbial single-cell genome sequencing to discover novel endolysins against methicillin-resistant Staphylococcus aureus, identifying a lead endolysin with effective antimicrobial properties.

bioRxiv · Jun 22, 2023 · PreprintMicrobiology

Recovery of high-quality assembled genomes via metagenome binning guided with single-cell amplified genomes

K. Arikawa, K. Ide, M. Kogawa, T. Saeki, T. Yoda, T. Endoh, A. Matsuhashi, H. Takeyama, M. Hosokawa

This paper introduces MetaSAG, a method using single-cell genomes to improve metagenome binning, resulting in higher quality and strain-resolved microbial genomes from complex communities.

bioRxiv · Jan 11, 2021 · PreprintMicrobiology