Genome-wide CRISPR screen identifies HNRNPL as a prostate cancer dependency regulating RNA splicing

Fei Teng(Brigham and Women's Hospital), Yiwen Chen(The University of Texas MD Anderson Cancer Center), Tengfei Xiao(Brigham and Women's Hospital), Wei Li(Dana-Farber Cancer Institute), Laura Cato(Brigham and Women's Hospital), Peng Zhang(The University of Texas MD Anderson Cancer Center), Maura B. Cotter(Brigham and Women's Hospital), Michaela Bowden(Brigham and Women's Hospital), Rosina T. Lis(Brigham and Women's Hospital), Shuang G. Zhao(University of Michigan), Qiu Wu(Tongji University), Felix Y. Feng(University of Michigan), Massimo Loda(Broad Institute), Housheng Hansen He(University Health Network), Xiaochuan Liu(Dana-Farber Cancer Institute), Myles Brown(Brigham and Women's Hospital)
Proceedings of the National Academy of Sciences
June 13, 2017
Cited by 356Open Access
Full Text

Abstract

Alternative RNA splicing plays an important role in cancer. To determine which factors involved in RNA processing are essential in prostate cancer, we performed a genome-wide CRISPR/Cas9 knockout screen to identify the genes that are required for prostate cancer growth. Functional annotation defined a set of essential spliceosome and RNA binding protein (RBP) genes, including most notably heterogeneous nuclear ribonucleoprotein L (HNRNPL). We defined the HNRNPL-bound RNA landscape by RNA immunoprecipitation coupled with next-generation sequencing and linked these RBP-RNA interactions to changes in RNA processing. HNRNPL directly regulates the alternative splicing of a set of RNAs, including those encoding the androgen receptor, the key lineage-specific prostate cancer oncogene. HNRNPL also regulates circular RNA formation via back splicing. Importantly, both HNRNPL and its RNA targets are aberrantly expressed in human prostate tumors, supporting their clinical relevance. Collectively, our data reveal HNRNPL and its RNA clients as players in prostate cancer growth and potential therapeutic targets.


Related Papers

No related papers found

Powered by citation graph analysis