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dc.contributor.author남진우-
dc.date.accessioned2019-05-28T04:32:36Z-
dc.date.available2019-05-28T04:32:36Z-
dc.date.issued2017-01-
dc.identifier.citationNATURE METHODS, v. 14, no. 2, page. 153-159en_US
dc.identifier.issn1548-7091-
dc.identifier.issn1548-7105-
dc.identifier.urihttps://www.nature.com/articles/nmeth.4104-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/106118-
dc.description.abstractCRISPR from Prevotella and Francisella 1 (Cpf1) is an effector endonuclease of the class 2 CRISPR-Cas (clustered regularly interspaced short palindromic repeats-CRISPR-associated proteins) gene editing system. We developed a method for evaluating Cpf1 activity, based on target sequence composition in mammalian cells, in a high-throughput manner. A library of >11,000 target sequence and guide RNA pairs was delivered into human cells using lentiviral vectors. Subsequent delivery of Cpf1 into this cell library induced insertions and deletions (indels) at the integrated synthetic target sequences, which allowed en masse evaluation of Cpfl activity by using deep sequencing. With this approach, we determined protospacer-adjacent motif sequences of two Cpf1 nucleases, one from Acidaminococcus sp. BV3L6 (hereafter referred to as AsCpf1) and the other from Lachnospiraceae bacterium ND2006 (hereafter referred to as LbCpfl). We also defined target-sequence-dependent activity profiles of AsCpf1, which enabled the development of a web tool that predicts the indel frequencies for given target sequences (http://big.hanyang.ac.kr/cindel). Both the Cpf1 characterization profile and the in vivo high-throughput evaluation method will greatly facilitate Cpf1-based genome editing.en_US
dc.description.sponsorshipThe authors would like to thank D.-S. Jang (Medical Illustrator, Medical Research Support Section, Yonsei University College of Medicine) for his help with the illustrations, D. Kim for developing Python programs, M. K. Song (Biostatistics Collaboration Unit, Yonsei University College of Medicine) and Y. Kim for the assistance with statistical analysis, E.-S. Lee for proofreading, R. Gopalappa for assistance with sample preparation, Severance Biomedical Science Institute for bioinformatics analysis, and B. Kleinstiver and K. Joung (both at Massachusetts General Hospital) for sharing raw data for Supplementary Figure 9 and Figure 3d. This work was supported in part by the National Research Foundation of Korea (grants 2014R1A1A1A05006189 (H.K.), 2013M3A9B4076544 (H.K.), 2014M3C9A3063541 (J.-W.N.), and 2015R1A2A1A15052668 (H.K.)), the Korean Health Technology R&D Project, Ministry of Health and Welfare, Republic of Korea (grants HI14C2019 (Medistar program) (H.K.), HI16C1012 (H.K.), and HI15C1578 (J.-W.N.)), and a faculty research grant of Yonsei University College of Medicine for 2015 (6-2015-0086 (H.K.)).en_US
dc.language.isoenen_US
dc.publisherNATURE PUBLISHING GROUPen_US
dc.titleIn vivo high-throughput profiling of CRISPR-Cpf1 activityen_US
dc.typeArticleen_US
dc.relation.no2-
dc.relation.volume14-
dc.identifier.doi10.1038/NMETH.4104-
dc.relation.page153-159-
dc.relation.journalNATURE METHODS-
dc.contributor.googleauthorKim, Hui K.-
dc.contributor.googleauthorSong, Myungjae-
dc.contributor.googleauthorLee, Jinu-
dc.contributor.googleauthorMenon, A. Vipin-
dc.contributor.googleauthorJung, Soobin-
dc.contributor.googleauthorKang, Young-Mook-
dc.contributor.googleauthorChoi, Jae W.-
dc.contributor.googleauthorWoo, Euijeon-
dc.contributor.googleauthorKoh, Hyun C.-
dc.contributor.googleauthorNam, Jin-Wu-
dc.relation.code2017000259-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF NATURAL SCIENCES[S]-
dc.sector.departmentDEPARTMENT OF LIFE SCIENCE-
dc.identifier.pidjwnam-
dc.identifier.orcidhttp://orcid.org/0000-0003-0047-3687-
Appears in Collections:
COLLEGE OF NATURAL SCIENCES[S](자연과학대학) > LIFE SCIENCE(생명과학과) > Articles
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