Xiaoyang Zhang
@xyzxiaoyang
ID: 281236717
12-04-2011 22:25:53
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Check out our latest work on structural variation patterns in castration-resistant prostate cancer. Collab with Srinivas Viswanathan #matthewmeyerson #maryellentaplin Fred Hutch Cancer Center Dana-Farber
Happy that, on this numerically special Tuesday (2/22/22!), our work with Peter Choi on PRMT1 as a vulnerability in prostate cancer is published in Cell Reports: cell.com/cell-reports/f… #prostatecancer #pcsm @CaP_Pubs A 🧵 (-2/7)
The latest Jay Gertz preprint was just posted. It was a great group effort led by Matt Ginley with help from Xiaoyang Zhang lab and John Lis’ lab. In this study, we explored how regulatory elements influence gene expression timing and noise in response to estrogen 1/
1/ Thrilled to share our work is out in Science Translational Medicine! TP63 fusions drive multicomplex enhancer rewiring, lymphomagenesis, and EZH2 dependence | Science Translational Medicine science.org/doi/10.1126/sc… Thanks the support from Dana-Farber 伊藤佑愛!
out today in Nature Genetics 🎉!!! our study applying a simple physical principle (mass balance) to deconstruct the notion that you need long reads to detect large variants in cancer nature.com/articles/s4158… 1/🧶
If you’re coming to #DiscoverBMB, please join Castaneda Lab and us for an interest group on phase separation/condensates and cell signaling. Fantastic speaker lineup! 👇
Our work on how enhancers impact estrogen transcription timing and noise is now out in Cell Genomics! Thanks to everyone that helped out on this project! cell.com/cell-genomics/… Matt Ginley Xiaoyang Zhang
Very happy to see this story published. Congratulations to Ansley and A who co-led the study. Thank you to everyone involved. A great collaboration with Livia Garzia, Veena Sangwan, Lorenzo Ferri MD PhD and Xiaoyang Zhang. aacrjournals.org/cancerres/arti…
The 3D genome organization of one of the most comprehensively characterized advanced prostate cancer cohort is now public. Phenomenal collaboration with the teams from Felix Feng @David_A_Quigley. Congrats to Shuang G for leading the effort. nature.com/articles/s4158…
Happy to share our latest work published in Cancer Discovery led by Mei Luo Jingwen Yang! Great collaboration with @NCIEytanRuppin Gordon Mills! IU Simon Comprehensive Cancer Center Biostatistics & Health Data Science IUSM iubioinfo