Your browser doesn't support javascript.
loading
High-content CRISPR screening.
Bock, Christoph; Datlinger, Paul; Chardon, Florence; Coelho, Matthew A; Dong, Matthew B; Lawson, Keith A; Lu, Tian; Maroc, Laetitia; Norman, Thomas M; Song, Bicna; Stanley, Geoff; Chen, Sidi; Garnett, Mathew; Li, Wei; Moffat, Jason; Qi, Lei S; Shapiro, Rebecca S; Shendure, Jay; Weissman, Jonathan S; Zhuang, Xiaowei.
Affiliation
  • Bock C; CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
  • Datlinger P; Institute of Artificial Intelligence, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
  • Chardon F; CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
  • Coelho MA; Department of Genome Sciences, University of Washington, Seattle, WA, USA.
  • Dong MB; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
  • Lawson KA; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.
  • Lu T; Systems Biology Institute, Yale University, West Haven, CT, USA.
  • Maroc L; Center for Cancer Systems Biology, Yale University, West Haven, CT, USA.
  • Norman TM; Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.
  • Song B; Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
  • Stanley G; Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA.
  • Chen S; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
  • Garnett M; Department of Physics, Harvard University, Cambridge, MA, USA.
  • Li W; Department of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.
  • Moffat J; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.
  • Qi LS; Howard Hughes Medical Institute, University of California, San Francisco, CA, USA.
  • Shapiro RS; Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Shendure J; Center for Genetic Medicine Research, Children's National Hospital, Washington, DC, USA.
  • Weissman JS; Department of Genomics and Precision Medicine, George Washington University, Washington, DC, USA.
  • Zhuang X; Department of Bioengineering, Stanford University, Stanford, CA, USA.
Article in En | MEDLINE | ID: mdl-37214176
ABSTRACT
CRISPR screens are a powerful source of biological discovery, enabling the unbiased interrogation of gene function in a wide range of applications and species. In pooled CRISPR screens, various genetically encoded perturbations are introduced into pools of cells. The targeted cells proliferate under a biological challenge such as cell competition, drug treatment or viral infection. Subsequently, the perturbation-induced effects are evaluated by sequencing-based counting of the guide RNAs that specify each perturbation. The typical results of such screens are ranked lists of genes that confer sensitivity or resistance to the biological challenge of interest. Contributing to the broad utility of CRISPR screens, adaptations of the core CRISPR technology make it possible to activate, silence or otherwise manipulate the target genes. Moreover, high-content read-outs such as single-cell RNA sequencing and spatial imaging help characterize screened cells with unprecedented detail. Dedicated software tools facilitate bioinformatic analysis and enhance reproducibility. CRISPR screening has unravelled various molecular mechanisms in basic biology, medical genetics, cancer research, immunology, infectious diseases, microbiology and other fields. This Primer describes the basic and advanced concepts of CRISPR screening and its application as a flexible and reliable method for biological discovery, biomedical research and drug development - with a special emphasis on high-content methods that make it possible to obtain detailed biological insights directly as part of the screen.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Screening_studies Language: En Journal: Nat Rev Methods Primers Year: 2022 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Screening_studies Language: En Journal: Nat Rev Methods Primers Year: 2022 Document type: Article Affiliation country:
...