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Literature DB >> 23563794

Mapping genetic interactions in human cancer cells with RNAi and multiparametric phenotyping.

Christina Laufer¹, Bernd Fischer, Maximilian Billmann, Wolfgang Huber, Michael Boutros.

Abstract

Genetic interactions influence many phenotypes and can be used as a powerful experimental tool to discover functional relationships between genes. Here we describe a robust and scalable method to systematically map genetic interactions in human cancer cells using combinatorial RNAi and high-throughput imaging. Through automated, single-cell phenotyping, we measured genetic interactions across a broad spectrum of phenotypes, including cell count, cell eccentricity and nuclear area. We mapped genetic interactions of epigenetic regulators in colon cancer cells, recovering known protein complexes. Our study also revealed the prospects and challenges of studying genetic interactions in human cells using multiparametric phenotyping.

Entities: Disease Species

Mesh：

Year: 2013 PMID： 23563794 DOI： 10.1038/nmeth.2436

Source DB: PubMed Journal: Nat Methods ISSN： 1548-7091 Impact factor: 28.547

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