Pooled genetic perturbation screens with image-based phenotypes.
Pooled genetic perturbation screens with image-based phenotypes.
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DOI:
10.1038/s41596-021-00653-8
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发表时间:
2022-02
期刊:
影响因子:
14.8
通讯作者:
Blainey, Paul C.
中科院分区:
文献类型:
--
作者:
Feldman, David;Funk, Luke;Le, Anna;Carlson, Rebecca J.;Leiken, Michael D.;Tsai, FuNien;Soong, Brian;Singh, Avtar;Blainey, Paul C.
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 days, while sequencing can be performed in ~1.5 hours per cycle. The image analysis pipeline provided enables fully parallel automated sequencing analysis using a cloud or cluster computing environment.
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