Publications
Nature protocolsJan 2022 DOI:
10.1038/s41596-021-00653-8

Pooled genetic perturbation screens with image-based phenotypes

Feldman, David; Funk, Luke; Le, Anna; Carlson, Rebecca J; Leiken, Michael D; Tsai, FuNien; Soong, Brian; Singh, Avtar; Blainey, Paul C
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Oligo Pools
Abstract
Discovery of the genetic components underpinning fundamental and disease-related processes is being rapidly accelerated by combining efficient, programmable genetic engineering with phenotypic readouts of high spatial, temporal and/or molecular resolution. Microscopy is a fundamental tool for studying cell biology, but its lack of high-throughput sequence readouts hinders integration in large-scale genetic screens. Optical pooled screens using in situ sequencing provide massively scalable integration of barcoded lentiviral libraries (e.g., CRISPR perturbation libraries) with high-content imaging assays, including dynamic processes in live cells. The protocol uses standard lentiviral vectors and molecular biology, providing single-cell resolution of phenotype and engineered genotype, scalability to millions of cells and accurate sequence reads sufficient to distinguish >106 perturbations. In situ amplification takes ~2 d, while sequencing can be performed in ~1.5 h per cycle. The image analysis pipeline provided enables fully parallel automated sequencing analysis using a cloud or cluster computing environment.
Product Used
Oligo Pools

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