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      Genome-scale deletion screening of human long non-coding RNAs using a paired-guide RNA CRISPR library

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          Abstract

          CRISPR/Cas9 screens have been widely adopted to analyse coding gene functions, but high throughput screening of non-coding elements using this method is more challenging, because indels caused by a single cut in non-coding regions are unlikely to produce a functional knockout. A high-throughput method to produce deletions of non-coding DNA is needed. Herein, we report a high throughput genomic deletion strategy to screen for functional long non-coding RNAs (lncRNAs) that is based on a lentiviral paired-guide RNA (pgRNA) library. Applying our screening method, we identified 51 lncRNAs that can positively or negatively regulate human cancer cell growth. We individually validated 9 lncRNAs using CRISPR/Cas9-mediated genomic deletion and functional rescue, CRISPR activation or inhibition, and gene expression profiling. Our high-throughput pgRNA genome deletion method should enable rapid identification of functional mammalian non-coding elements.

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          Most cited references15

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          AP-1: a double-edged sword in tumorigenesis.

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            Genome-wide recessive genetic screening in mammalian cells with a lentiviral CRISPR-guide RNA library.

            Identification of genes influencing a phenotype of interest is frequently achieved through genetic screening by RNA interference (RNAi) or knockouts. However, RNAi may only achieve partial depletion of gene activity, and knockout-based screens are difficult in diploid mammalian cells. Here we took advantage of the efficiency and high throughput of genome editing based on type II, clustered, regularly interspaced, short palindromic repeats (CRISPR)-CRISPR-associated (Cas) systems to introduce genome-wide targeted mutations in mouse embryonic stem cells (ESCs). We designed 87,897 guide RNAs (gRNAs) targeting 19,150 mouse protein-coding genes and used a lentiviral vector to express these gRNAs in ESCs that constitutively express Cas9. Screening the resulting ESC mutant libraries for resistance to either Clostridium septicum alpha-toxin or 6-thioguanine identified 27 known and 4 previously unknown genes implicated in these phenotypes. Our results demonstrate the potential for efficient loss-of-function screening using the CRISPR-Cas9 system.
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              BCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis

              Summary Enhancers, critical determinants of cellular identity, are commonly identified by correlative chromatin marks and gain-of-function potential, though only loss-of-function studies can demonstrate their requirement in the native genomic context. Previously we identified an erythroid enhancer of BCL11A, subject to common genetic variation associated with fetal hemoglobin (HbF) level, whose mouse ortholog is necessary for erythroid BCL11A expression. Here we develop pooled CRISPR-Cas9 guide RNA libraries to perform in situ saturating mutagenesis of the human and mouse enhancers. This approach reveals critical minimal features and discrete vulnerabilities of these enhancers. Despite conserved function of the composite enhancers, their architecture diverges. The crucial human sequences appear primate-specific. Through editing of primary human progenitors and mouse transgenesis, we validate the BCL11A erythroid enhancer as a target for HbF reinduction. The detailed enhancer map will inform therapeutic genome editing. The screening approach described here is generally applicable to functional interrogation of noncoding genomic elements.
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                Author and article information

                Journal
                9604648
                20305
                Nat Biotechnol
                Nat. Biotechnol.
                Nature biotechnology
                1087-0156
                1546-1696
                28 July 2017
                31 October 2016
                December 2016
                11 September 2017
                : 34
                : 12
                : 1279-1286
                Affiliations
                [1 ]Biodynamic Optical Imaging Center (BIOPIC), Beijing Advanced Innovation Center for Genomics, Peking-Tsinghua Center for Life Sciences, State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China
                [2 ]Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program (PTN), Peking University, 100871, China
                [3 ]Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard School of Public Health, Boston, MA 02215, USA
                [4 ]Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
                [5 ]Department of Prevention Medicine, School of Medicine, Ningbo University, Ningbo, Zhejiang, 315211, China
                [6 ]Broad Institute of MIT and Harvard, Cambridge Center, Cambridge, MA 02142, USA
                [7 ]Division of Molecular and Cellular Oncology, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
                [8 ]Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
                [9 ]Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02215, USA
                Author notes
                Correspondence and requests for materials should be addressed to W.W. ( wswei@ 123456pku.edu.cn ) or X.S.L. ( xsliu.dfci@ 123456gmail.com )
                [*]

                These authors contributed equally to this work.

                [§]

                These authors jointly supervised this work.

                Article
                PMC5592164 PMC5592164 5592164 nihpa893054
                10.1038/nbt.3715
                5592164
                27798563
                d8ec4202-8215-4447-a0c1-b80b5bea7cf8

                Reprints and permissions information is available at www.nature.com/reprints.

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