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Application of proteomics to Pseudomonas aeruginosa.

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1
Australian Proteome Analysis Facility, Sydney, Australia 2109.

Abstract

The recent completion of the Pseudomonas Genome Project, in conjunction with the Pseudomonas Community Annotation Project (PseudoCAP) has fast-tracked our ability to apply the tools encompassed under the term 'proteomics' to this pathogen. Such global approaches will allow the research community to answer long-standing questions regarding the ability of Pseudomonas aeruginosa to survive diverse habitats, its high intrinsic resistance to antibiotics and its pathogenic nature towards humans. Proteomics provides an array of tools capable of confirming the expression of Open Reading Frames (ORF), the relative levels of their expression, the environmental conditions required for this expression and the sub-cellular location of the encoded gene-products. Since proteins are important cellular effectors, the biological questions we pose can be defined in terms of changes in protein expression detectable by separation to purity using two-dimensional gel electrophoresis (2-DGE) and relation to gene sequences via mass spectrometry. As such, we can compare strains with well-characterized phenotypic differences, growth under a variety of stresses, protein interactions and complexes and aid in defining proteins of unknown function. While the complete genome has only recently been finished, a number of studies have already utilized this information and examined various protein gene-products using proteomics. This review summarizes the application of proteomics to P. aeruginosa and highlights potential areas of future research, including overcoming the traditional technical limitations associated with 2-DGE. More focused approaches that target sub-cellular fractions ('sub-proteomes') prior to 2-DGE can provide further functional information. A review of current and previous proteomic projects on P. aeruginosa is presented, as well as theoretical considerations of the importance of sub-proteomic approaches to enhance these investigations.

PMID:
12934928
[Indexed for MEDLINE]
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