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Systematic Gene-to-Phenotype Arrays: A High-Throughput Technique for Molecular Phenotyping.

Molecular cell (2018-01-21)
Philipp A Jaeger, Lilia Ornelas, Cameron McElfresh, Lily R Wong, Randolph Y Hampton, Trey Ideker
ABSTRAKT

We have developed a highly parallel strategy, systematic gene-to-phenotype arrays (SGPAs), to comprehensively map the genetic landscape driving molecular phenotypes of interest. By this approach, a complete yeast genetic mutant array is crossed with fluorescent reporters and imaged on membranes at high density and contrast. Importantly, SGPA enables quantification of phenotypes that are not readily detectable in ordinary genetic analysis of cell fitness. We benchmark SGPA by examining two fundamental biological phenotypes: first, we explore glucose repression, in which SGPA identifies a requirement for the Mediator complex and a role for the CDK8/kinase module in regulating transcription. Second, we examine selective protein quality control, in which SGPA identifies most known quality control factors along with U

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