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Integrative analysis of pooled CRISPR genetic screens using MAGeCKFlute.
Wang, Binbin; Wang, Mei; Zhang, Wubing; Xiao, Tengfei; Chen, Chen-Hao; Wu, Alexander; Wu, Feizhen; Traugh, Nicole; Wang, Xiaoqing; Li, Ziyi; Mei, Shenglin; Cui, Yingbo; Shi, Sailing; Lipp, Jesse Jonathan; Hinterndorfer, Matthias; Zuber, Johannes; Brown, Myles; Li, Wei; Liu, X Shirley.
Afiliação
  • Wang B; Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
  • Wang M; Department of Geriatrics, Shanghai General Hospital, Shanghai, China.
  • Zhang W; Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
  • Xiao T; Center for Functional Cancer Epigenetics, Department of Data Sciences, Dana-Farber Cancer Institute, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Chen CH; GV20 Oncotherapy, Shanghai, China.
  • Wu A; Center for Functional Cancer Epigenetics, Department of Data Sciences, Dana-Farber Cancer Institute, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Wu F; Center for Functional Cancer Epigenetics, Department of Data Sciences, Dana-Farber Cancer Institute, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Traugh N; Program in Computational Biology and Quantitative Genetics, Harvard School of Public Health, Boston, MA, USA.
  • Wang X; Laboratory of Epigenetics, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
  • Li Z; Key Laboratory of Birth Defects, Children's Hospital of Fudan University, Shanghai, China.
  • Mei S; Center for Functional Cancer Epigenetics, Department of Data Sciences, Dana-Farber Cancer Institute, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Cui Y; Center for Functional Cancer Epigenetics, Department of Data Sciences, Dana-Farber Cancer Institute, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Shi S; Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
  • Lipp JJ; Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
  • Hinterndorfer M; School of Computer, National University of Defense Technology, Changsha, China.
  • Zuber J; Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
  • Brown M; Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.
  • Li W; Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.
  • Liu XS; Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.
Nat Protoc ; 14(3): 756-780, 2019 03.
Article em En | MEDLINE | ID: mdl-30710114
ABSTRACT
Genome-wide screening using CRISPR coupled with nuclease Cas9 (CRISPR-Cas9) is a powerful technology for the systematic evaluation of gene function. Statistically principled analysis is needed for the accurate identification of gene hits and associated pathways. Here, we describe how to perform computational analysis of CRISPR screens using the MAGeCKFlute pipeline. MAGeCKFlute combines the MAGeCK and MAGeCK-VISPR algorithms and incorporates additional downstream analysis functionalities. MAGeCKFlute is distinguished from other currently available tools by its comprehensive pipeline, which contains a series of functions for analyzing CRISPR screen data. This protocol explains how to use MAGeCKFlute to perform quality control (QC), normalization, batch effect removal, copy-number bias correction, gene hit identification and downstream functional enrichment analysis for CRISPR screens. We also describe gene identification and data analysis in CRISPR screens involving drug treatment. Completing the entire MAGeCKFlute pipeline requires ~3 h on a desktop computer running Linux or Mac OS with R support.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Testes Genéticos / Sistemas CRISPR-Cas Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Testes Genéticos / Sistemas CRISPR-Cas Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article