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Molecular and Cellular Biology, March 1999, p. 1720-1730, Vol. 19, No. 3
0270-7306/99/$04.00+0
Copyright © 1999, American Society for Microbiology. All rights reserved.
Correlation between Protein and mRNA Abundance
in Yeast
Steven P.
Gygi,
Yvan
Rochon,
B. Robert
Franza, and
Ruedi
Aebersold*
Department of Molecular Biotechnology,
University of Washington, Seattle, Washington 98195-7730
Received 5 October 1998/Returned for modification 11 November
1998/Accepted 2 December 1998
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.
*
Corresponding author. Mailing address: Department of
Molecular Biotechnology, Box 357730, University of Washington, Seattle, WA 98195-7730. Phone: (206) 221-4196. Fax: (206) 685-7301. E-mail: ruedi{at}u.washington.edu.
Molecular and Cellular Biology, March 1999, p. 1720-1730, Vol. 19, No. 3
0270-7306/99/$04.00+0
Copyright © 1999, American Society for Microbiology. All rights reserved.
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Fernandez-Arenas, E., Cabezon, V., Bermejo, C., Arroyo, J., Nombela, C., Diez-Orejas, R., Gil, C.
(2007). Integrated Proteomics and Genomics Strategies Bring New Insight into Candida albicans Response upon Macrophage Interaction. Mol. Cell. Proteomics
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Mechin, V., Thevenot, C., Le Guilloux, M., Prioul, J.-L., Damerval, C.
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