29 August 2003 | Dov Greenbaum*, Christopher Colangelo†‡, Kenneth Williams†‡ and Mark Gerstein†§
The article by Dov Greenbaum, Christopher Colangelo, Kenneth Williams, and Mark Gerstein reviews the correlation between protein abundance and mRNA expression levels, focusing on yeast. It discusses various experimental techniques for determining protein abundance, including two-dimensional gel electrophoresis and mass spectrometry. The authors merge multiple yeast protein-abundance datasets to find correlations between protein and mRNA expression, both globally and within specific categories. They highlight the complementary nature of mRNA and protein measurements and the challenges in quantifying protein abundance due to complex post-transcriptional mechanisms, varying protein half-lives, and experimental noise. The study finds that while global correlations are weak, smaller, more defined subsets of proteins show higher correlations, particularly in terms of localization and functional categories. The authors also explore the reasons for the lack of correlation, such as the impact of mRNA and protein turnover rates, and suggest that more comprehensive correlation studies will be feasible with advancements in proteomics and mRNA expression analysis.The article by Dov Greenbaum, Christopher Colangelo, Kenneth Williams, and Mark Gerstein reviews the correlation between protein abundance and mRNA expression levels, focusing on yeast. It discusses various experimental techniques for determining protein abundance, including two-dimensional gel electrophoresis and mass spectrometry. The authors merge multiple yeast protein-abundance datasets to find correlations between protein and mRNA expression, both globally and within specific categories. They highlight the complementary nature of mRNA and protein measurements and the challenges in quantifying protein abundance due to complex post-transcriptional mechanisms, varying protein half-lives, and experimental noise. The study finds that while global correlations are weak, smaller, more defined subsets of proteins show higher correlations, particularly in terms of localization and functional categories. The authors also explore the reasons for the lack of correlation, such as the impact of mRNA and protein turnover rates, and suggest that more comprehensive correlation studies will be feasible with advancements in proteomics and mRNA expression analysis.