Systematic functional analysis of the Caenorhabditis elegans genome using RNAi View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2003-01

AUTHORS

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

ABSTRACT

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 approximately 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. More... »

PAGES

231

References to SciGraph publications

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  • Journal

    TITLE

    Nature

    ISSUE

    6920

    VOLUME

    421

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nature01278

    DOI

    http://dx.doi.org/10.1038/nature01278

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1031657596

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/12529635


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