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Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes

Authors :
Neumann, Beate
Walter, Thomas
Heriche, Jean-Karim
Bulkescher, Jutta
Erfle, Holger
Conrad, Christian
Rogers, Phill
Poser, Ina
Held, Michael
Liebel, Urban
Cetin, Cihan
Sieckmann, Frank
Pau, Gregoire
Kabbe, Rolf
Wunsche, Annelie
Satagopam, Venkata
Schmitz, Michael H.A.
Chapuis, Catherine
Gerlich, Daniel W.
Schneider, Reinhard
Eils, Roland
Huber, Wolfgang
Peters, Jan-Michael
Hyman, Anthony A.
Durbin, Richard
Pepperkok, Rainer
Ellenberg, Jan
Source :
Nature. April 1, 2010, Vol. 464 Issue 7289, p721, 7 p.
Publication Year :
2010

Abstract

Despite our rapidly growing knowledge about the human genome, we do not know all of the genes required for some of the most basic functions of life. To start to fill this gap we developed a high-throughput phenotypic screening platform combining potent gene silencing by RNA interference, time-lapse microscopy and computational image processing. We carried out a genome-wide phenotypic profiling of each of the ~21,000 human protein-coding genes by two-day live imaging of fluorescently labelled chromosomes. Phenotypes were scored quantitatively by computational image processing, which allowed us to identify hundreds of human genes involved in diverse biological functions including cell division, migration and survival. As part of the Mitocheck consortium, this study provides an in-depth analysis of cell division phenotypesand makes the entire high-content data set available as a resource to the community.<br />To target the ~21,000 protein-coding genes in the human genome, we used a chemically synthesized short interfering RNA (siRNA) library designed to uniquely target each gene with 2-3 independent sequences [...]

Details

Language :
English
ISSN :
00280836
Volume :
464
Issue :
7289
Database :
Gale General OneFile
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
edsgcl.223284639
Full Text :
https://doi.org/10.1038/nature08869