Author

H. Miyata

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· 1 Microbiology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

A. Brehmer· 1 shared A. Muhlebner-Fahrngruber· 1 shared A. Popp· 1 shared E. Aronica· 1 shared F. Rogerio· 1 shared F. Soylemezoglu· 1 shared G. Mori· 1 shared H. Kobayashi· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperPathology

A. Brehmer

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A CUG-initiated CATSPERθ functions in the CatSper channel assembly and serves as a checkpoint for flagellar trafficking

X. Huang, H. Miyata, H. Wang, G. Mori, R. Iida-Norita, M. Ikawa, R. Percudani, J.-J. Chung

This study identifies CATSPER{theta} as essential for CatSper channel assembly in sperm flagella, revealing its role in channel formation and flagellar trafficking, leading to male infertility in its absence.

bioRxiv · Mar 17, 2023Cell Biology

A flexible target-specific anti-infection therapeutic platform that can be applied to different microbial species

M. Mitsunaga, K. Ito, T. Nishimura, H. Miyata, Y. Mizunoe, H. Kobayashi, T. Iwase

This paper introduces a photoimmuno-antimicrobial strategy (PIAS) that effectively targets and eliminates various pathogens, including drug-resistant strains, without harming host microflora.

bioRxiv · Apr 20, 2020 · PreprintMicrobiology

Same same but different: a web-based deep learning application for the histopathologic distinction of cortical malformations

J. Kubach, A. Muhlebner-Fahrngruber, F. Soylemezoglu, H. Miyata, P. Niehusmann, M. Honavar, F. Rogerio, S.-H. Kim, E. Aronica, R. Garbelli, S. Vilz, A. Popp, S. Walcher, N. Christoph, M. Scholz, , S. Jabari

The paper trains a CNN to distinguish between FCD IIb and TSC using histopathologic images and develops a web app for classification.

bioRxiv · Oct 15, 2019 · PreprintPathology