CRISPRi-based genome-scale identification of functional long noncoding RNA loci in human cells

Siyuan Liu(University of California, San Francisco), Max A. Horlbeck(QB3), Seung Woo Cho(Stanford University), Harjus Birk(University of California, San Francisco), Martina Malatesta(University of California, San Francisco), Daniel He(University of California, San Francisco), Frank J. Attenello(University of California, San Francisco), Jacqueline E. Villalta(QB3), Min Y. Cho(QB3), Yuwen Chen(QB3), Mohammad A. Mandegar(University of California, San Francisco), Michael Olvera(University of California, San Francisco), Luke A. Gilbert(QB3), Bruce R. Conklin(Gladstone Institutes), Howard Y. Chang(Stanford University), Jonathan S. Weissman(QB3), Daniel A. Lim(San Francisco VA Medical Center)
Science
December 15, 2016
Cited by 764

Abstract

The human genome produces thousands of long noncoding RNAs (lncRNAs)-transcripts >200 nucleotides long that do not encode proteins. Although critical roles in normal biology and disease have been revealed for a subset of lncRNAs, the function of the vast majority remains untested. We developed a CRISPR interference (CRISPRi) platform targeting 16,401 lncRNA loci in seven diverse cell lines, including six transformed cell lines and human induced pluripotent stem cells (iPSCs). Large-scale screening identified 499 lncRNA loci required for robust cellular growth, of which 89% showed growth-modifying function exclusively in one cell type. We further found that lncRNA knockdown can perturb complex transcriptional networks in a cell type-specific manner. These data underscore the functional importance and cell type specificity of many lncRNAs.


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