Literature DB >> 26933254

Large-Scale Single Guide RNA Library Construction and Use for CRISPR-Cas9-Based Genetic Screens.

Tim Wang1, Eric S Lander2, David M Sabatini1.   

Abstract

The ability to systematically disrupt genes serves as a powerful tool for understanding their function. The programmable CRISPR-Cas9 system enables efficient targeting of large numbers of genes through the use of single guide RNA (sgRNA) libraries. In cultured mammalian cells, collections of knockout mutants can be readily generated by means of transduction of Cas9-sgRNA lentiviral pools, screened for a phenotype of interest, and counted using high-throughput DNA sequencing. This technique represents the first general method for undertaking systematic loss-of-function genetic screens in mammalian cells. Here, we introduce the methodology and rationale for conducting CRISPR-based screens, focusing on distinguishing positive and negative selection strategies.
© 2016 Cold Spring Harbor Laboratory Press.

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Year:  2016        PMID: 26933254      PMCID: PMC4804892          DOI: 10.1101/pdb.top086892

Source DB:  PubMed          Journal:  Cold Spring Harb Protoc        ISSN: 1559-6095


  10 in total

Review 1.  Building mammalian signalling pathways with RNAi screens.

Authors:  Jason Moffat; David M Sabatini
Journal:  Nat Rev Mol Cell Biol       Date:  2006-03       Impact factor: 94.444

Review 2.  The art and design of genetic screens: RNA interference.

Authors:  Michael Boutros; Julie Ahringer
Journal:  Nat Rev Genet       Date:  2008-06-03       Impact factor: 53.242

3.  Genome-scale CRISPR-Cas9 knockout screening in human cells.

Authors:  Ophir Shalem; Neville E Sanjana; Ella Hartenian; Xi Shi; David A Scott; Tarjei Mikkelson; Dirk Heckl; Benjamin L Ebert; David E Root; John G Doench; Feng Zhang
Journal:  Science       Date:  2013-12-12       Impact factor: 47.728

4.  Genetic screens in human cells using the CRISPR-Cas9 system.

Authors:  Tim Wang; Jenny J Wei; David M Sabatini; Eric S Lander
Journal:  Science       Date:  2013-12-12       Impact factor: 47.728

5.  Multiplex genome engineering using CRISPR/Cas systems.

Authors:  Le Cong; F Ann Ran; David Cox; Shuailiang Lin; Robert Barretto; Naomi Habib; Patrick D Hsu; Xuebing Wu; Wenyan Jiang; Luciano A Marraffini; Feng Zhang
Journal:  Science       Date:  2013-01-03       Impact factor: 47.728

6.  RNA-guided human genome engineering via Cas9.

Authors:  Prashant Mali; Luhan Yang; Kevin M Esvelt; John Aach; Marc Guell; James E DiCarlo; Julie E Norville; George M Church
Journal:  Science       Date:  2013-01-03       Impact factor: 47.728

7.  One-step generation of mice carrying mutations in multiple genes by CRISPR/Cas-mediated genome engineering.

Authors:  Haoyi Wang; Hui Yang; Chikdu S Shivalila; Meelad M Dawlaty; Albert W Cheng; Feng Zhang; Rudolf Jaenisch
Journal:  Cell       Date:  2013-05-02       Impact factor: 41.582

8.  Fluorescence-based phenotypic selection allows forward genetic screens in haploid human cells.

Authors:  Lidia M Duncan; Richard T Timms; Eszter Zavodszky; Florencia Cano; Gordon Dougan; Felix Randow; Paul J Lehner
Journal:  PLoS One       Date:  2012-06-22       Impact factor: 3.240

9.  Molecular biology. Use and abuse of RNAi to study mammalian gene function.

Authors:  William G Kaelin
Journal:  Science       Date:  2012-07-27       Impact factor: 47.728

10.  A reporter screen in a human haploid cell line identifies CYLD as a constitutive inhibitor of NF-κB.

Authors:  Clarissa C Lee; Jan E Carette; Thijn R Brummelkamp; Hidde L Ploegh
Journal:  PLoS One       Date:  2013-07-08       Impact factor: 3.240

  10 in total
  8 in total

1.  A genome-wide CRISPR screen identifies a restricted set of HIV host dependency factors.

Authors:  Ryan J Park; Tim Wang; Dylan Koundakjian; Judd F Hultquist; Pedro Lamothe-Molina; Blandine Monel; Kathrin Schumann; Haiyan Yu; Kevin M Krupzcak; Wilfredo Garcia-Beltran; Alicja Piechocka-Trocha; Nevan J Krogan; Alexander Marson; David M Sabatini; Eric S Lander; Nir Hacohen; Bruce D Walker
Journal:  Nat Genet       Date:  2016-12-19       Impact factor: 38.330

2.  Overview of CRISPR-Cas9 Biology.

Authors:  Hannah K Ratner; Timothy R Sampson; David S Weiss
Journal:  Cold Spring Harb Protoc       Date:  2016-12-01

3.  Genome-wide CRISPR screens reveal multitiered mechanisms through which mTORC1 senses mitochondrial dysfunction.

Authors:  Kendall J Condon; Jose M Orozco; Charles H Adelmann; Jessica B Spinelli; Pim W van der Helm; Justin M Roberts; Tenzin Kunchok; David M Sabatini
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-26       Impact factor: 12.779

4.  The BioGRID interaction database: 2019 update.

Authors:  Rose Oughtred; Chris Stark; Bobby-Joe Breitkreutz; Jennifer Rust; Lorrie Boucher; Christie Chang; Nadine Kolas; Lara O'Donnell; Genie Leung; Rochelle McAdam; Frederick Zhang; Sonam Dolma; Andrew Willems; Jasmin Coulombe-Huntington; Andrew Chatr-Aryamontri; Kara Dolinski; Mike Tyers
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

5.  Lactobacillus gasseri CRISPR-Cas9 characterization In Vitro reveals a flexible mode of protospacer-adjacent motif recognition.

Authors:  Emily M Anderson; Shawn McClelland; Elena Maksimova; Žaklina Strezoska; Megan Basila; Alexandra E Briner; Rodolphe Barrangou; Anja van Brabant Smith
Journal:  PLoS One       Date:  2018-02-02       Impact factor: 3.240

Review 6.  CRISPR-Cas9 Genetic Analysis of Virus-Host Interactions.

Authors:  Makda Gebre; Jason L Nomburg; Benjamin E Gewurz
Journal:  Viruses       Date:  2018-01-30       Impact factor: 5.048

7.  SCNrank: spectral clustering for network-based ranking to reveal potential drug targets and its application in pancreatic ductal adenocarcinoma.

Authors:  Enze Liu; Zhuang Zhuang Zhang; Xiaolin Cheng; Xiaoqi Liu; Lijun Cheng
Journal:  BMC Med Genomics       Date:  2020-04-03       Impact factor: 3.063

8.  MasterPATH: network analysis of functional genomics screening data.

Authors:  Natalia Rubanova; Guillaume Pinna; Jeremie Kropp; Anna Campalans; Juan Pablo Radicella; Anna Polesskaya; Annick Harel-Bellan; Nadya Morozova
Journal:  BMC Genomics       Date:  2020-09-14       Impact factor: 3.969

  8 in total

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