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Updated: Sep 27, 2026

Microarray Analysis for Saccharomyces cerevisiae
Published on: April 7, 2011
Protein pathway and complex clustering of correlated mRNA and protein expression analyses in Saccharomyces cerevisiae
Michael P Washburn1, Antonius Koller, Guy Oshiro
1Proteomics, Torrey Mesa Research Institute, 3115 Merryfield Row, San Diego, CA 92121, USA. michael.washburn@syngenta.com
Abstract:
The mRNA and protein expression in Saccharomyces cerevisiae cultured in rich or minimal media was analyzed by oligonucleotide arrays and quantitative multidimensional protein identification technology. The overall correlation between mRNA and protein expression was weakly positive with a Spearman rank correlation coefficient of 0.45 for 678 loci. To place the data sets in a proper biological context, a clustering approach based on protein pathways and protein complexes was implemented. Protein expression levels were transcriptionally controlled for not only single loci but for entire protein pathways (e.g., Met, Arg, and Leu biosynthetic pathways). In contrast, the protein expression of loci in several protein complexes (e.g., SPT, COPI, and ribosome) was posttranscriptionally controlled. The coupling of the methods described provided insight into the biology of S. cerevisiae and a clustering strategy by which future studies should be based.
Insights
This study analyzed mRNA and protein expression in Saccharomyces cerevisiae, finding a weak positive correlation. It revealed that protein expression is controlled transcriptionally for pathways but post-transcriptionally for complexes.
Area of Science:
- Molecular Biology
- Yeast Genetics
- Systems Biology
Background:
- Understanding the relationship between mRNA and protein levels is crucial for systems biology.
- Saccharomyces cerevisiae is a model organism for studying gene expression.
Purpose of the Study:
- To analyze and compare mRNA and protein expression in Saccharomyces cerevisiae.
- To investigate the regulatory mechanisms controlling protein expression.
Main Methods:
- Oligonucleotide arrays for mRNA expression analysis.
- Quantitative multidimensional protein identification technology for protein expression analysis.
- Clustering approach based on protein pathways and complexes.
Main Results:
- A weakly positive correlation (Spearman rank correlation coefficient of 0.45) was observed between mRNA and protein expression for 678 loci.
- Protein expression levels for entire biosynthetic pathways (e.g., Met, Arg, Leu) were transcriptionally controlled.
- Protein expression for components of protein complexes (e.g., SPT, COPI, ribosome) was post-transcriptionally controlled.
Conclusions:
- The study provides insights into the post-transcriptional and transcriptional regulation of gene expression in Saccharomyces cerevisiae.
- A clustering strategy based on protein pathways and complexes is proposed for future studies.
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