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Pooled CRISPR-Based Genetic Screens in Mammalian Cells
Published on: September 4, 2019
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Genome-scale CRISPR screening at high sensitivity with an empirically designed sgRNA library
Luisa Henkel1, Benedikt Rauscher1, Barbara Schmitt1
1German Cancer Research Center (DKFZ), Division Signaling and Functional Genomics and Heidelberg University, BioQuant and Medical Faculty Mannheim, D-69120, Heidelberg, Germany.
BMC Biology
|November 24, 2020
Summary
Optimizing CRISPR screens improves gene essentiality identification. Using single-cell clones and high-quality guide RNAs in empirically designed libraries enhances discovery of core and context-dependent essential genes.
Area of Science:
- Genomics
- Molecular Biology
- Biotechnology
Background:
- CRISPR/Cas9 technology enables large-scale genetic screens for gene function analysis.
- Functional dependencies across coding and noncoding genomes are being explored in diverse cell types.
- Optimal design criteria for CRISPR screening are still developing.
Purpose of the Study:
- To establish optimal design criteria for genome-scale CRISPR screens.
- To improve the efficiency and specificity of gene essentiality screens.
- To develop a novel genome-scale sgRNA library for enhanced gene discovery.
Main Methods:
- Systematic analysis of published CRISPR screens in human cells.
- Identification and selection of single-guide RNAs (sgRNAs) with high on-target and low off-target activity.
- Development of a novel genome-scale sgRNA library using selected guides.
- Comparison of viability screens in Cas9 single-cell clones versus bulk populations.
Main Results:
- Viability screens in single-cell clones offer advantages over bulk populations.
- A novel genome-scale sgRNA library was created with high-performance sgRNAs.
- The library efficiently identifies both core and context-dependent essential genes.
- Empirically designed libraries with optimized experimental design enhance dynamic range in gene essentiality screens.
Conclusions:
- Optimized experimental design and empirically designed libraries increase the dynamic range of gene essentiality screens.
- The developed sgRNA library effectively identifies essential genes.
- Single-cell clone screening and carefully selected sgRNAs improve CRISPR screening outcomes.

