GenomeNet

Database: PubMed
Entry: 15590099
LinkDB: 15590099
Original site: 15590099 
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. doi: 10.1016/j.mimet.2004.09.017.
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.

This page is constructed based on the NCBI service.
DBGET integrated database retrieval system