Systematic functional analysis of the Caenorhabditis elegans genome using RNAi

被引:0
作者
Ravi S. Kamath
Andrew G. Fraser
Yan Dong
Gino Poulin
Richard Durbin
Monica Gotta
Alexander Kanapin
Nathalie Le Bot
Sergio Moreno
Marc Sohrmann
David P. Welchman
Peder Zipperlen
Julie Ahringer
机构
[1] University of Cambridge,Wellcome Trust/Cancer Research UK Institute and Department of Genetics
[2] Wellcome Trust Sanger Institute,undefined
[3] EMBL-European Bioinformatics Institute,undefined
[4] Wellcome Trust Genome Campus,undefined
[5] Centro de Investigacion del Cancer,undefined
[6] CSIC / Univ. Salamanca,undefined
[7] Campus Miguel de Unamuno,undefined
[8] Wellcome Trust Sanger Institute,undefined
[9] Institute of Biochemistry ETH Hoenggerberg,undefined
来源
Nature | 2003年 / 421卷
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摘要
A principal challenge currently facing biologists is how to connect the complete DNA sequence of an organism to its development and behaviour. Large-scale targeted-deletions have been successful in defining gene functions in the single-celled yeast Saccharomyces cerevisiae, but comparable analyses have yet to be performed in an animal. Here we describe the use of RNA interference to inhibit the function of ∼86% of the 19,427 predicted genes of C. elegans. We identified mutant phenotypes for 1,722 genes, about two-thirds of which were not previously associated with a phenotype. We find that genes of similar functions are clustered in distinct, multi-megabase regions of individual chromosomes; genes in these regions tend to share transcriptional profiles. Our resulting data set and reusable RNAi library of 16,757 bacterial clones will facilitate systematic analyses of the connections among gene sequence, chromosomal location and gene function in C. elegans.
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页码:231 / 237
页数:6
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