Systems-level approaches for identifying and analyzing genetic interaction networks in Escherichia coli and extensions to other prokaryotes
Identifieur interne : 001F08 ( Main/Exploration ); précédent : 001F07; suivant : 001F09Systems-level approaches for identifying and analyzing genetic interaction networks in Escherichia coli and extensions to other prokaryotes
Auteurs : Mohan Babuthese Authors Contributed Equally. [Canada] ; Gabriel Musso [Canada] ; J. Javier Daz-Meja [Canada] ; Gareth Butland [États-Unis] ; Jack F. Greenblatt [Canada] ; Andrew Emili [Canada]Source :
- Molecular BioSystems [ 1742-206X ] ; 2009.
Abstract
Molecular interactions define the functional organization of the cell. Epistatic (genetic, or genegene) interactions, one of the most informative and commonly encountered forms of functional relationships, are increasingly being used to map process architecture in model eukaryotic organisms. In particular, systems-level screens in yeast and worm aimed at elucidating genetic interaction networks have led to the generation of models describing the global modular organization of gene products and protein complexes within a cell. However, comparable data for prokaryotic organisms have not been available. Given its ease of growth and genetic manipulation, the Gram-negative bacterium Escherichia coli appears to be an ideal model system for performing comprehensive genome-scale examinations of genetic redundancy in bacteria. In this review, we highlight emerging experimental and computational techniques that have been developed recently to examine functional relationships and redundancy in E. coli at a systems-level, and their potential application to prokaryotes in general. Additionally, we have scanned PubMed abstracts and full-text published articles to manually curate a list of 200 previously reported synthetic sick or lethal genetic interactions in E. coli derived from small-scale experimental studies.
Url:
DOI: 10.1039/b907407d
Affiliations:
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BioSyst.</title><idno type="ISSN">1742-206X</idno><idno type="eISSN">1742-2051</idno><imprint><publisher>The Royal Society of Chemistry.</publisher><date type="published" when="2009">2009</date><biblScope unit="volume"></biblScope><biblScope unit="issue">12</biblScope><biblScope unit="page" from="1439">1439</biblScope><biblScope unit="page" to="1455">1455</biblScope></imprint><idno type="ISSN">1742-206X</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1742-206X</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">Molecular interactions define the functional organization of the cell. Epistatic (genetic, or genegene) interactions, one of the most informative and commonly encountered forms of functional relationships, are increasingly being used to map process architecture in model eukaryotic organisms. 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Javier" last="Daz-Meja">J. Javier Daz-Meja</name><name sortKey="Daz Meja, J Javier" sort="Daz Meja, J Javier" uniqKey="Daz Meja J" first="J. Javier" last="Daz-Meja">J. Javier Daz-Meja</name><name sortKey="Daz Meja, J Javier" sort="Daz Meja, J Javier" uniqKey="Daz Meja J" first="J. Javier" last="Daz-Meja">J. Javier Daz-Meja</name><name sortKey="Emili, Andrew" sort="Emili, Andrew" uniqKey="Emili A" first="Andrew" last="Emili">Andrew Emili</name><name sortKey="Emili, Andrew" sort="Emili, Andrew" uniqKey="Emili A" first="Andrew" last="Emili">Andrew Emili</name><name sortKey="Greenblatt, Jack F" sort="Greenblatt, Jack F" uniqKey="Greenblatt J" first="Jack F." last="Greenblatt">Jack F. Greenblatt</name><name sortKey="Greenblatt, Jack F" sort="Greenblatt, Jack F" uniqKey="Greenblatt J" first="Jack F." last="Greenblatt">Jack F. 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