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

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...

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Published inNature (London) Vol. 464; no. 7289; pp. 721 - 727
Main Authors Ellenberg, Jan, Neumann, Beate, Walter, Thomas, Hériché, Jean-Karim, Bulkescher, Jutta, Erfle, Holger, Conrad, Christian, Rogers, Phill, Poser, Ina, Held, Michael, Liebel, Urban, Cetin, Cihan, Sieckmann, Frank, Pau, Gregoire, Kabbe, Rolf, Wünsche, 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
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 01.04.2010
Nature Publishing Group
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Summary: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 phenotypes and makes the entire high-content data set available as a resource to the community. Cell division genes revealed Jan Ellenberg and colleagues have used RNA interference to silence each of the approximately 21,000 protein-coding genes in a human cell line, then used high-throughput time-lapse imaging of live dividing cells to record the results. Phenotypes were scored quantitatively by computational image processing of at least six two-day movies per gene. Hundreds of genes were found to function in mitosis and other cellular processes including cell survival and migration. The entire data set is available as a public functional genomics resource at www.mitocheck.org. In the new News & View Forum, Jason Swedlow, Cecilia Cotta-Ramusino and Stephen Elledge consider the contribution of this remarkable data set to cell biology, and the challenge of drawing meaningful conclusions from future genome-wide screens. High-throughput microscopy combined with gene silencing by RNA interference is a powerful method for studying gene function. Here, a genome-wide method is presented for phenotypic screening of each of the ∼21,000 human protein-coding genes, using two-day imaging of dividing cells with fluorescently labelled chromosomes. The method enabled the identification of hundreds of genes involved in biological functions such as cell division, migration and survival.
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PMCID: PMC3108885
These authors contributed equally to this work.
Present addresses: MitoCheck Project Group, European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, D-69117 Heidelberg, Germany (J.-K.H.); BIOQUANT Centre University Heidelberg, INF 267, D-69120 Heidelberg, Germany (H.E.); 3-V Biosciences GmbH, Wagistrasse 27, 8952 Schlieren, Switzerland (P.R.); Institute of Biochemistry, Swiss Federal Institute of Technology Zurich (ETHZ), Schafmattstrasse 18, CH-8093 Zurich, Switzerland (M.H.); Karlsruhe Institute of Technology KIT, Herrmann-von-Helmholtz Platz 1, D-76344 Eggenstein-Leopoldshafen, Germany (U.L.).
Author Contributions B.N. developed the primary screen assay. P.R., H.E., B.N. and J.B. generated the data for the primary and validation screen. T.W. and M.H. developed the image processing software. T.W., J.-K.H., G.P., and W.H. analysed the data. J.-K.H., V.S. and R.S. performed the bioinformatics analysis. B.N., P.R., J.B., T.W. and C.Co. conducted the quality control and manual annotation. U.L., C.Co., F.S. and R.P. developed the HT microscope platform. H.E. and R.P. developed the HT transfection platform. J.-K.H. and R.D. created the Mitocheck database and website. C.Ce. and R.P. designed the manual annotation database. J.B., C.Co., B.N. and A.W. created the data for the spindle assay. R.K. and R.E. provided IT support. I.P. and A.A.H. provided the BAC cell pools. M.H.A.S., C.Ch. and D.W.G. provided reagents. J.-M.P. coordinated the Mitocheck consortium. J.E. coordinated and supervised the project and wrote the manuscript.
ISSN:0028-0836
1476-4687
1476-4687
DOI:10.1038/nature08869