Department of Biochemistry and Donnelly Center, University of Toronto, Toronto, ON M5S 1A8, Canada.
Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Cell Syst. 2018 Feb 28;6(2):192-205.e3. doi: 10.1016/j.cels.2017.12.004. Epub 2018 Jan 17.
Protein activity is the ultimate arbiter of function in most cellular pathways, and protein concentration is fundamentally connected to protein action. While the proteome of yeast has been subjected to the most comprehensive analysis of any eukaryote, existing datasets are difficult to compare, and there is no consensus abundance value for each protein. We evaluated 21 quantitative analyses of the S. cerevisiae proteome, normalizing and converting all measurements of protein abundance into the intuitive measurement of absolute molecules per cell. We estimate the cellular abundance of 92% of the proteins in the yeast proteome and assess the variation in each abundance measurement. Using our protein abundance dataset, we find that a global response to diverse environmental stresses is not detected at the level of protein abundance, we find that protein tags have only a modest effect on protein abundance, and we identify proteins that are differentially regulated at the mRNA abundance, mRNA translation, and protein abundance levels.
在大多数细胞途径中,蛋白质活性是功能的最终仲裁者,而蛋白质浓度与蛋白质作用从根本上是相关联的。虽然酵母的蛋白质组已经受到了所有真核生物中最全面的分析,但现有的数据集难以进行比较,并且每种蛋白质的丰度值也没有达成共识。我们评估了 21 种定量分析酿酒酵母蛋白质组的方法,将蛋白质丰度的所有测量值归一化并转换为每个细胞的绝对分子数的直观测量值。我们估计了酵母蛋白质组中 92%的蛋白质的细胞丰度,并评估了每个丰度测量值的变化。使用我们的蛋白质丰度数据集,我们发现,在蛋白质丰度水平上,没有检测到对各种环境压力的全局响应,我们发现蛋白质标签对蛋白质丰度的影响只有适度的影响,并且我们确定了在 mRNA 丰度、mRNA 翻译和蛋白质丰度水平上差异调节的蛋白质。