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Updated: Jun 2, 2026

Pooled CRISPR-Based Genetic Screens in Mammalian Cells
Published on: September 4, 2019
A comprehensive platform for highly multiplexed mammalian functional genetic screens
Troy Ketela1, Lawrence E Heisler, Kevin R Brown
1Donnelly Centre and Banting & Best Department of Medical Research, University of Toronto, Toronto, Canada.
The Gene Modulation Array Platform (GMAP) enables deconvolution of large-scale functional genetic screens using RNA interference and open reading frame over-expression libraries. This microarray-based solution offers a validated approach for analyzing pooled genetic screens in human, mouse, and yeast cells.
Area of Science:
- Functional genomics
- High-throughput screening
- Molecular biology
Background:
- Genome-wide screening using RNA interference (RNAi) and open reading frame (ORF) over-expression is a growing research method.
- A lack of detailed protocols and reagents hinders the deconvolution of large-scale genetic screens.
- The Gene Modulation Array Platform (GMAP) was developed to address this gap.
Purpose of the Study:
- To present a comprehensive platform for highly multiplexed functional genetic screens.
- To provide a microarray-based solution for deconvoluting pooled loss- and gain-of-function screens.
- To validate GMAP for use with commercially available gene modulation libraries in human, mouse, and yeast cells.
Main Methods:
- Development of the Gene Modulation Array Platform (GMAP), a single microarray-based detection solution.
- Testing GMAP with lentiviral-based plasmid pools containing approximately 78,000 and 90,000 shRNAs for RNAi screens.
- Comparison of GMAP with next-generation sequencing for deconvolution of shRNA screens.
- Evaluation of GMAP for deconvolution of ORF over-expression screens.
Main Results:
- GMAP successfully deconvoluted genome-wide shRNA "dropout" screens using pooled lentiviral libraries.
- Equivalent results were obtained using plasmid pools and genomic DNA from infected cells.
- GMAP and next-generation sequencing provide complementary and valid approaches for screen deconvolution.
- GMAP demonstrated equivalence to other microarray products for ORF over-expression screen deconvolution.
Conclusions:
- GMAP supports four major applications, including deconvolution of pooled RNAi screens with up to 90,000 distinct shRNAs.
- Detailed methodologies for pooled shRNA screen readout using GMAP are provided.
- A comparison of next-generation sequencing and GMAP-based deconvolution methods is presented.
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