Author

Y.-H. Sun

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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Cancer Biology· 1 Cell Biology· 1 Microbiology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:mouse· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

A. Li· 1 shared A. M. Monjazeb· 1 shared A. Wang· 1 shared B. Xie· 1 shared C. G. Tepper· 1 shared C. Ku· 1 shared C. Liu· 1 shared C. Recendez· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperCancer Biology

A. Li

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Post-death Vesicles of Senescent Bone Marrow Mesenchymal Stromal Polyploids Promote Macrophage Aging and Breast Cancer

B. Xie, M. Fan, C. X. Wang, Y. Zhang, S. Xu, R. Mizenko, T.-y. Lin, Y. Duan, Y. Zhang, J. Huang, J. I. Berg, D. Wu, A. Li, D. Hao, K. Gao, , J. J. Li

bioRxiv · Mar 6, 2024 · PreprintCancer Biology

Multiple independent acquisitions of ACE2 usage in MERS-related coronaviruses

C.-B. Ma, C. Liu, Y.-J. Park, J. Tang, J. Chen, Q. Xiong, J. Lee, C. Stewart, D. Asarnow, J. Brown, M. A. Tortorici, X. Yang, Y.-H. Sun, Y.-M. Chen, X. Yu, , H. Yan

The paper identifies two European bat MERS-related coronaviruses that use ACE2 as their receptor, revealing a distinct binding mode and host tropism determinants.

bioRxiv · Oct 2, 2023Microbiology

A data-driven approach to establishing cell motility patterns as predictors of macrophage subtypes and their relation to cell morphology

M. Kesapragada, Y.-H. Sun, K. Zhu, C. Recendez, D. Fregoso, H.-y. Yang, M. Rolandi, R. R. Isseroff, M. Zhao, M. Gomez

This paper shows that macrophage motility patterns and morphology can predict their subtypes, with combined features improving prediction accuracy to 75%.

bioRxiv · Nov 29, 2022 · PreprintCell Biology

Single-cell transcriptomics unveils xylem cell development and evolution

C.-C. Tung, S.-C. Kuo, C.-L. Yang, C.-E. Huang, J.-H. Yu, Y.-H. Sun, P. Shuai, J.-C. Su, C. Ku, Y.-C. J. Lin

This study uses single-cell transcriptomics to analyze xylem cell development and evolution across four angiosperms, revealing conserved and variable lineage patterns.

bioRxiv · Oct 16, 2021Plant Biology