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dc.contributor.authorXu, Han
dc.contributor.authorXiao, Tengfei
dc.contributor.authorChen, Chen-Hao
dc.contributor.authorLi, Wei
dc.contributor.authorMeyer, Clifford A.
dc.contributor.authorWu, Qiu
dc.contributor.authorWu, Di
dc.contributor.authorCong, Le
dc.contributor.authorZhang, Feng
dc.contributor.authorLiu, Jun S.
dc.contributor.authorBrown, Myles
dc.contributor.authorLiu, X. Shirley
dc.date.accessioned2016-01-11T00:31:23Z
dc.date.available2016-01-11T00:31:23Z
dc.date.issued2015-08
dc.date.submitted2015-06
dc.identifier.issn1088-9051
dc.identifier.issn1549-5469
dc.identifier.urihttp://hdl.handle.net/1721.1/100787
dc.description.abstractThe CRISPR/Cas9 system has revolutionized mammalian somatic cell genetics. Genome-wide functional screens using CRISPR/Cas9-mediated knockout or dCas9 fusion-mediated inhibition/activation (CRISPRi/a) are powerful techniques for discovering phenotype-associated gene function. We systematically assessed the DNA sequence features that contribute to single guide RNA (sgRNA) efficiency in CRISPR-based screens. Leveraging the information from multiple designs, we derived a new sequence model for predicting sgRNA efficiency in CRISPR/Cas9 knockout experiments. Our model confirmed known features and suggested new features including a preference for cytosine at the cleavage site. The model was experimentally validated for sgRNA-mediated mutation rate and protein knockout efficiency. Tested on independent data sets, the model achieved significant results in both positive and negative selection conditions and outperformed existing models. We also found that the sequence preference for CRISPRi/a is substantially different from that for CRISPR/Cas9 knockout and propose a new model for predicting sgRNA efficiency in CRISPRi/a experiments. These results facilitate the genome-wide design of improved sgRNA for both knockout and CRISPRi/a studies.en_US
dc.language.isoen_US
dc.publisherCold Spring Harbor Laboratory Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1101/gr.191452.115en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en_US
dc.sourceCold Spring Harbor Laboratory Pressen_US
dc.titleSequence determinants of improved CRISPR sgRNA designen_US
dc.typeArticleen_US
dc.identifier.citationXu, Han, Tengfei Xiao, Chen-Hao Chen, Wei Li, Clifford A. Meyer, Qiu Wu, Di Wu, et al. “Sequence Determinants of Improved CRISPR sgRNA Design.” Genome Res. 25, no. 8 (June 10, 2015): 1147–1157.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.mitauthorZhang, Fengen_US
dc.relation.journalGenome Researchen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsXu, Han; Xiao, Tengfei; Chen, Chen-Hao; Li, Wei; Meyer, Clifford A.; Wu, Qiu; Wu, Di; Cong, Le; Zhang, Feng; Liu, Jun S.; Brown, Myles; Liu, X. Shirleyen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-2782-2509
mit.licenseOPEN_ACCESS_POLICYen_US


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