ISI Web of Knowledge Take the next step  
Web of Science®
 
Previous Record (inactive) Record 1  of  1 Next Record (inactive)
Record from Web of Science®
Correlation between protein and mRNA abundance in yeast
Author(s): Gygi SP, Rochon Y, Franza BR, Aebersold R
Source: MOLECULAR AND CELLULAR BIOLOGY    Volume: 19    Issue: 3    Pages: 1720-1730    Published: MAR 1999  
Times Cited: 1,563     References: 39     
Abstract: We have determined the relationship between mRNA and protein expression levels for selected genes expressed in the yeast Saccharomyces cerevisiae growing at mid-log phase. The proteins contained in total yeast cell lysate were separated by high-resolution two-dimensional (2D) gel electrophoresis. Over 150 protein spots were excised and identified by capillary liquid chromatography-tandem mass spectrometry (LC-MS/MS). Protein spots were quantified by metabolic labeling and scintillation counting. Corresponding mRNA levels were calculated from serial analysis of gene expression (SAGE) frequency tables (V. E. Velculescu, L. Zhang, W. Zhou, J. Vogelstein, M. A. Basrai, D. E. Bassett, Jr., P. Hieter, B. Vogelstein, and K. W. Kinzler, Cell 88:243-251, 1997). We found that the correlation between mRNA and protein levels was insufficient to predict protein expression levels from quantitative mRNA data. Indeed, for some genes, while the mRNA levels were of the same value the protein levels varied by more than 20-fold. Conversely, invariant steady state levels of certain proteins were observed with respective mRNA transcript levels that varied by as much as 30-fold. Another interesting observation is that codon bias is not a predictor of either protein or mRNA levels. Our results clearly delineate the technical boundaries of current approaches for quantitative analysis of protein expression and reveal that simple deduction from mRNA transcript analysis is Insufficient.
Document Type: Article
Language: English
Reprint Address: Aebersold, R (reprint author), Univ Washington, Dept Mol Biotechnol, Box 357730, Seattle, WA 98195 USA
Addresses:
1. Univ Washington, Dept Mol Biotechnol, Seattle, WA 98195 USA
Publisher: AMER SOC MICROBIOLOGY, 1325 MASSACHUSETTS AVENUE, NW, WASHINGTON, DC 20005-4171 USA
Subject Category: Biochemistry & Molecular Biology; Cell Biology
IDS Number: 168MY
ISSN: 0270-7306
Previous Record (inactive) Record 1  of  1 Next Record (inactive)
Record from Web of Science®
  
Thomson Reuters Logo