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Pooled CRISPR-Based Genetic Screens in Mammalian Cells
Published on: September 4, 2019
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Genetic screens in human cells using the CRISPR-Cas9 system
Tim Wang1, Jenny J Wei, David M Sabatini
1Department of Biology, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Summary
This study introduces a CRISPR-Cas9 screening method for mammalian genetics, enabling efficient gene knockout and functional analysis. The approach uses a large single-guide RNA library for pooled genetic screens, identifying key genes in DNA repair and cell cycle pathways.
Area of Science:
- Genetics
- Molecular Biology
- Genome Editing
Background:
- The Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-Cas9 system has revolutionized mammalian genetics.
- Existing tools allow for rapid generation of genetically modified cell lines and animals.
Purpose of the Study:
- To develop and validate a pooled, loss-of-function genetic screening approach using a genome-scale lentiviral single-guide RNA (sgRNA) library.
- To assess the utility of this screening method for both positive and negative selection in mammalian cells.
Main Methods:
- A genome-scale lentiviral sgRNA library with 73,000 sgRNAs was used to generate knockout collections in two human cell lines.
- Pooled genetic screens were performed for resistance to 6-thioguanine and etoposide, and for essential genes via negative selection.
- Massively parallel sequencing was employed to track the complex mutant pool after stable integration of sgRNA expression cassettes.
Main Results:
- A screen for 6-thioguanine resistance successfully identified components of the DNA mismatch repair pathway.
- A screen for etoposide resistance identified TOP2A and CDK6.
- Negative selection screens identified gene sets involved in fundamental cellular processes, and sgRNA efficiency was linked to specific sequence motifs.
Conclusions:
- Cas9/sgRNA screens represent a powerful and systematic approach for genetic analysis in mammalian cells.
- The developed screening method is effective for both positive and negative selection screens.
- Predicting effective sgRNAs based on sequence motifs can enhance screening efficiency.
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