Author

T. Yoda

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 Cancer Biology· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:cell type annotation· 3 Approach:deep learning· 3 Organism:human· 3 Assay:scRNA-seq· 3 Research Focus:clustering· 2 Research Focus:gene regulatory network inference· 2 Assay:metagenomics· 2

Frequent Co-Authors

M. Hosokawa· 5 shared H. Takeyama· 4 shared K. Arikawa· 4 shared A. Matsuhashi· 2 shared M. Kogawa· 2 shared T. Saeki· 2 shared A. Matsushita· 1 shared H. Matsunaga· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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5 shared papersMicrobiology

M. Hosokawa

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

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

Revealing within-species diversity in uncultured human gut bacteria with single-cell long-read sequencing

M. Kogawa, Y. Nishikawa, T. Saeki, T. Yoda, K. Arikawa, H. Takeyama, M. Hosokawa

This study develops a single-cell long-read sequencing workflow to generate complete bacterial genomes from uncultured human gut bacteria, revealing structural diversity and phage insertions within species.

bioRxiv · Mar 24, 2022Microbiology

Identification of two cancer stem cell-like populations in triple-negative breast cancer xenografts

J. Nakayama, H. Matsunaga, K. Arikawa, T. Yoda, M. Hosokawa, H. Takeyama, Y. Yamamoto, K. Semba

The paper identifies two cancer stem cell-like populations in TNBC xenografts using transcriptomic analysis and confirms their presence in patient data, suggesting potential as biomarkers and implications for drug resistance.

bioRxiv · Oct 21, 2021Cancer Biology

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

Time-lapse single-cell transcriptomics reveals modulation of histone H3 for dormancy breaking

H. Tsuyuzaki, M. Hosokawa, K. Arikawa, T. Yoda, N. Okada, H. Takeyama, M. Sato

The paper uses time-lapse single-cell transcriptomics to show histone H3 gene expression fluctuation is crucial for breaking dormancy in fission yeast spores.

bioRxiv · Aug 5, 2019 · PreprintCell Biology