Subject Categories: Functional genomics | Computational methods
Molecular Systems Biology 6 Article number: 370 doi:10.1038/msb.2010.25
Published online: 8 June 2010
Citation: Molecular Systems Biology 6:370
Clustering phenotype populations by genome-wide RNAi and multiparametric imaging
Florian Fuchs1,a, Gregoire Pau2,3,a, Dominique Kranz1, Oleg Sklyar2, Christoph Budjan1, Sandra Steinbrink1, Thomas Horn1, Angelika Pedal1, Wolfgang Huber2,3 & Michael Boutros1
German Cancer Research Center (DKFZ), Division of Signaling and Functional Genomics and Heidelberg University, Department of Cell and Molecular Biology, Medical Faculty Mannheim, Heidelberg, Germany
EMBL, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
EMBL, Genome Biology Unit, Heidelberg, Germany
Correspondence to: Michael Boutros1 German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany. Tel.: +49 6221 421951; Fax: +49 6221 4259; Email: m.boutros@dkfz.de
Correspondence to: Wolfgang Huber2,3 EMBL, Genome Biology Unit, Meyerhofstraße 1, 69117 Heidelberg, Germany. Tel.: +49 6221 387 8823; Fax: +49 6221 387 8166; E-mail: Email: whuber@embl.de
Received 27 October 2009; Accepted 12 April 2010; Published online 8 June 2010
aThese authors contributed equally to this workTopof page
Article highlights
How to predict gene function from phenotypic cues is a longstanding question in biology.
Using quantitative multiparametric imaging, RNAi-mediated cell phenotypes were measured on a genome-wide scale.
On the basis of phenotypic ‘neighbourhoods’, we identified previously uncharacterized human genes as mediators of the DNA damage response pathway and the maintenance of genomic integrity.
The phenotypic map is provided as an online resource at http://www.cellmorph.org for discovering further functional relationships for a broad spectrum of biological module.
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