Gene expression analyzed by high-resolution state array analysis and quantitative proteomics: response of yeast to mating pheromone

The transcriptome provides the database from which a cell assembles its collection of proteins. Translation of individual mRNA species into their encoded proteins is regulated, producing discrepancies between mRNA and protein levels. Using a new modeling approach to data analysis, a striking diversi...

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Bibliographic Details
Published in:Molecular & cellular proteomics 2004-05, Vol.3 (5), p.478
Main Authors: MacKay, Vivian L, Li, Xiaohong, Flory, Mark R, Turcott, Eileen, Law, G Lynn, Serikawa, Kyle A, Xu, X L, Lee, Hookeun, Goodlett, David R, Aebersold, Ruedi, Zhao, Lue Ping, Morris, David R
Format: Article
Language:English
Subjects:
Computational Biology
Gene Expression Profiling
Gene Expression Regulation, Fungal - drug effects
Gene Expression Regulation, Fungal - genetics
Models, Theoretical
Pheromones - pharmacology
Polyribosomes - genetics
Protein Biosynthesis
Proteomics
RNA, Fungal - genetics
Saccharomyces cerevisiae - genetics
Saccharomyces cerevisiae - metabolism
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Summary:The transcriptome provides the database from which a cell assembles its collection of proteins. Translation of individual mRNA species into their encoded proteins is regulated, producing discrepancies between mRNA and protein levels. Using a new modeling approach to data analysis, a striking diversity is revealed in association of the transcriptome with the translational machinery. Each mRNA has its own pattern of ribosome loading, a circumstance that provides an extraordinary dynamic range of regulation, above and beyond actual transcript levels. Using this approach together with quantitative proteomics, we explored the immediate changes in gene expression in response to activation of a mitogen-activated protein kinase pathway in yeast by mating pheromone. Interestingly, in 26% of those transcripts where the predicted protein synthesis rate changed by at least 3-fold, more than half of these changes resulted from altered translational efficiencies. These observations underscore that analysis of transcript level, albeit extremely important, is insufficient by itself to describe completely the phenotypes of cells under different conditions.
ISSN:1535-9476
1535-9484
DOI:10.1074/mcp.M300129-MCP200