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Yin Tang on Muck Rack

Yin Tang

As seen in: Color Research & Application, Nature, Wiley Online Library, Frontiers, MDPI, Taylor & Francis Online, BMC Cancer, Royal Society of Chemistry, Cell Press, Physical Review B and
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Articles

Spatial partitioning of NSD2 defines H3K36me2 as an active mark for repetitive sequence activation

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By Junqi Jia, Yu Chi Liu, Jiamin Yu, Jingwei Wang, Yiting Zhang, Yuan Fang, Ying Yu, Zhongxing Sun, Zhuoning Li, Yin Tang, Yanjun Zhang, Hai Song, Sergey V. Ulianov, Jing Huang, Dong Fang, Juejia Shao
| Nature Verified
Abstract Histone H3 lysine 36 dimethylation (H3K36me2) plays a key role in transcriptional elongation and chromatin organization, yet how its deposition is spatially controlled across the genome remains unclear. Here, we identify TOP1 as a critical recruiter of the H3K36me2 methyltransferase NSD2 to gene bodies. Disruption of the TOP1–NSD2 interaction reduces H3K36me2 at gene bodies, impairs RNA polymerase II release, and represses transcription.
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Wnt-presenting materials sustain H3K14-acetylation in human skeletal stem cells for tissue engineering and bone repair

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By Pierre Becquart, Pierre Tournier, Sergi Junyent, Binbin Ma, Yu Chi Liu, Yin Tang, Xin McRae Chen, Dong Fang, Anjali P. Kusumbe, Shukry J. Habib
| Nature Verified
Abstract Engineering functional tissues for transplantation requires insight into epigenetic mechanisms that regulate stem cell fate. We have developed the Wnt-induced osteogenic tissue model (WIOTM), a platform that recapitulates human osteogenesis, and identified acetylation of histone H3 at lysine 14 (H3K14ac) as a critical epigenetic regulator in human skeletal stem cells (hSSCs).
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Belted and Ensembled Neural Network for Linear and Nonlinear Sufficient Dimension Reduction

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By Yin Tang
| Taylor & Francis Online
Advanced search Journal of the American Statistical Association Latest Articles Submit an article Journal homepage Full Article Figures & data References Supplemental Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/01621459.2025.2590775?needAccess=true Accepted author version Abstract We introduce a unified, flexible, and easy-to-implement framework of sufficient dimension reduction that can accommodate both linear and nonlinear dimension reduction, and both the...
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