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Optical Pooled Screens in Human Cells
Author(s) -
David Feldman,
Avtar Singh,
Jonathan L. SchmidBurgk,
Rebecca J. Carlson,
Anja Mezger,
Anthony J. Garrity,
Feng Zhang,
Paul C. Blainey
Publication year - 2019
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2019.09.016
Subject(s) - biology , genetic screen , phenotype , live cell imaging , computational biology , gene , genetics , microbiology and biotechnology , nucleus , pooling , nuclear localization sequence , high content screening , cell , artificial intelligence , computer science
Genetic screens are critical for the systematic identification of genes underlying cellular phenotypes. Pooling gene perturbations greatly improves scalability but is not compatible with imaging of complex and dynamic cellular phenotypes. Here, we introduce a pooled approach for optical genetic screens in mammalian cells. We use targeted in situ sequencing to demultiplex a library of genetic perturbations following image-based phenotyping. We screened a set of 952 genes across millions of cells for involvement in nuclear factor κB (NF-κB) signaling by imaging the translocation of RelA (p65) to the nucleus. Screening at a single time point across 3 cell lines recovered 15 known pathway components, while repeating the screen with live-cell imaging revealed a role for Mediator complex subunits in regulating the duration of p65 nuclear retention. These results establish a highly multiplexed approach to image-based screens of spatially and temporally defined phenotypes with pooled libraries.

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