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

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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