Clustering phenotype populations by genome-wide RNAi and multiparametric imaging.

ABSTRACT: Genetic screens for phenotypic similarity have made key contributions to associating genes with biological processes. With RNA interference (RNAi), highly parallel phenotyping of loss-of-function effects in cells has become feasible. One of the current challenges however is the computational categorization of visual phenotypes and the prediction of biological function and processes. In this study, we describe a combined computational and experimental approach to discover novel gene functions and explore functional relationships. We performed a genome-wide RNAi screen in human cells and used quantitative descriptors derived from high-throughput imaging to generate multiparametric phenotypic profiles. We show that profiles predicted functions of genes by phenotypic similarity. Specifically,

SUBMITTER: Fuchs F 

PROVIDER: S-EPMC2913390 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature