Pooled genetic perturbation screens with image-based phenotypes

David Feldman, Luke Funk, Anna Le, Rebecca J. Carlson, Michael D. Leiken, FuNien Tsai, Brian Soong, Avtar Singh, Paul C. Blainey

Published: 2022-01-11 DOI: 10.1038/s41596-021-00653-8

genetic perturbation

image-based phenotypes

high-content imaging

lentiviral libraries

in situ sequencing

AI 解读

The GFP thermal shift assay for screening ligand and lipid interactions to solute carrier transporters

Co-fractionation–mass spectrometry to characterize native mitochondrial protein assemblies in mammalian neurons and brain

Simultaneously measuring the methylation of parent and daughter strands of replicated DNA at the single-molecule level by Hammer-seq

The Nodewalk assay to quantitate chromatin fiber interactomes in very small cell populations

Nondestructive production of exosomes loaded with ultrathin palladium nanosheets for targeted bio-orthogonal catalysis

An optimized culture system for efficient derivation of porcine expanded potential stem cells from preimplantation embryos and by reprogramming somatic cells

Engineering SARS-CoV-2 using a reverse genetic system

cfSNV: a software tool for the sensitive detection of somatic mutations from cell-free DNA

Growing and making nano- and microcrystals

Composable microfluidic spinning platforms for facile production of biomimetic perfusable hydrogel microtubes

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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
Introduction
Materials
Procedure
Troubleshooting
Timing
Anticipated results
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References
ACKNOWLEDGMENTS

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Pooled genetic perturbation screens with image-based phenotypes

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