PMID:
     15590099
Authors:
     Scherl A, Francois P, Bento M, Deshusses JM, Charbonnier Y, Converset V,
     Huyghe A, Walter N, Hoogland C, Appel RD, Sanchez JC, Zimmermann-Ivol CG,
     Corthals GL, Hochstrasser DF, Schrenzel J.
Title:
     Correlation of proteomic and transcriptomic profiles of Staphylococcus aureus
     during the post-exponential phase of growth.
Journal:
     J Microbiol Methods. 2005 Feb;60(2):247-57.
Abstract:
     A combined proteomic and transcriptomic analysis of Staphylococcus aureus strain 
     N315 was performed to study a sequenced strain at the system level. Total protein
     and membrane protein extracts were prepared and analyzed using various proteomic 
     workflows including: 2-DE, SDS-PAGE combined with microcapillary LC-MALDI-MS/MS, 
     and multidimensional liquid chromatography. The presence of a protein was then
     correlated with its respective transcript level from S. aureus cells grown under 
     the same conditions. Gene-expression data revealed that 97% of the 2'596 ORFs
     were detected during the post-exponential phase. At the protein level, 23% of
     these ORFs (591 proteins) were identified. Correlation of the two datasets
     revealed that 42% of the identified proteins (248 proteins) were amongst the top 
     25% of genes with highest mRNA signal intensities, and 69% of the identified
     proteins (406 proteins) were amongst the top 50% with the highest mRNA signal
     intensities. The fact that the remaining 31% of proteins were not strongly
     expressed at the RNA level indicates either that some low-abundance proteins were
     identified or that some transcripts or proteins showed extended half-lives. The
     most abundant classes identified with the combined proteomic and transcriptomic
     approach involved energy production, translational activities and nucleotide
     transport, reflecting an active metabolism. The simultaneous large-scale analysis
     of transcriptomes and proteomes enables a global and holistic view of the S.
     aureus biology, allowing the parallel study of multiple active events in an
     organism.

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