Unification of Protein Abundance Datasets Yields a Quantitative Saccharomyces cerevisiae Proteome
Unification of Protein Abundance Datasets Yields a Quantitative Saccharomyces cerevisiae Proteome
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DOI：
10.1016/j.cels.2017.12.004
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发表时间：
2018-02-28
期刊：
影响因子：
9.3
通讯作者：
Brown, Grant W.
中科院分区：
文献类型：
--
作者：
Ho, Brandon;Baryshnikova, Anastasia;Brown, Grant W.
蛋白质活性是大多数细胞途径中功能的最终仲裁者，蛋白质浓度从根本上与蛋白质作用有关。虽然酵母的蛋白质组已经进行了任何真核生物的最全面的分析，但现有的数据集很难比较，并且每个蛋白质的丰度值没有共识。我们评估了21个定量分析的S。酿酒酵母蛋白质组，标准化和转换的蛋白质丰度的所有测量到每个细胞的绝对分子的直观测量。我们估计酵母蛋白质组中92%的蛋白质的细胞丰度，并评估每个丰度测量的变化。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不同环境压力的全球响应，我们发现蛋白质标签对蛋白质丰度只有适度的影响，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。
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.