Author

H. Hakozaki

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 Bioengineering· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Approach:experimental assay· 2 Assay:fluorescence / live-cell microscopy· 2 Organism:C. elegans· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1

Frequent Co-Authors

J. Schoeneberg· 2 shared P. Natekar· 2 shared Z. Wang· 2 shared A. C. Lyons· 1 shared A. Deep· 1 shared A. Desai· 1 shared C. Tea· 1 shared C. Vissotsky· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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2 shared papersPharmacology & Toxicology

J. Schoeneberg

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Author profile →

4 papers

Recent·Most cited

Far-red chemigenetic biosensors for multi-dimensional and super-resolved kinase activity imaging

M. S. Frei, S. A. Sanchez, L. Liu, F. Schneider, Z. Wang, H. Hakozaki, Y. Li, A. C. Lyons, T. V. Rohm, J. M. Olefsky, L. Shi, J. Schöneberg, S. E. Fraser, S. Mehta, Y. Wang, J. Zhang

The paper introduces far-red chemigenetic kinase activity biosensors enabling five-color multiplexing, 4D imaging, and super-resolution via STED microscopy.

bioRxiv · Feb 10, 2024 · PreprintBioengineering

Phospho-KNL-1 recognition by a TPR domain targets the BUB-1/BUB-3 complex to C. elegans kinetochores

J. Houston, C. Vissotsky, A. Deep, H. Hakozaki, E. Crews, K. Oegema, K. D. Corbett, P. Lara-Gonzalez, T. Kim, A. Desai

This study shows that the BUB-1 TPR domain directly binds phosphorylated KNL-1 motifs, essential for BUB-1-BUB-3 localization and function in C. elegans.

bioRxiv · Feb 9, 2024 · PreprintCell Biology

Self-supervised deep learning uncovers the semantic landscape of drug-induced latent mitochondrial phenotypes

P. Natekar, Z. Wang, M. Arora, H. Hakozaki, J. Schoeneberg

This study introduces MitoSpace, a self-supervised deep learning approach to map drug-induced mitochondrial phenotypes, revealing a more complex morphology landscape than previously thought.

bioRxiv · Sep 13, 2023 · PreprintPharmacology & Toxicology

MitoTNT: Mitochondrial Temporal Network Tracking for 4D live-cell fluorescence microscopy data

Z. Wang, P. Natekar, C. Tea, S. Tamir, H. Hakozaki, J. Schoeneberg

MitoTNT tracks mitochondrial networks in 4D live-cell imaging data, revealing movement patterns and dynamic responses to pharmacological treatments.

bioRxiv · Aug 16, 2022 · PreprintCell Biology