Wellcome Trust Centre for Gene Regulation & Expression, College of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom.
Mol Cell Proteomics. 2012 Mar;11(3):M111.011429. doi: 10.1074/mcp.M111.011429. Epub 2011 Sep 21.
Measuring the properties of endogenous cell proteins, such as expression level, subcellular localization, and turnover rates, on a whole proteome level remains a major challenge in the postgenome era. Quantitative methods for measuring mRNA expression do not reliably predict corresponding protein levels and provide little or no information on other protein properties. Here we describe a combined pulse-labeling, spatial proteomics and data analysis strategy to characterize the expression, localization, synthesis, degradation, and turnover rates of endogenously expressed, untagged human proteins in different subcellular compartments. Using quantitative mass spectrometry and stable isotope labeling with amino acids in cell culture, a total of 80,098 peptides from 8,041 HeLa proteins were quantified, and their spatial distribution between the cytoplasm, nucleus and nucleolus determined and visualized using specialized software tools developed in PepTracker. Using information from ion intensities and rates of change in isotope ratios, protein abundance levels and protein synthesis, degradation and turnover rates were calculated for the whole cell and for the respective cytoplasmic, nuclear, and nucleolar compartments. Expression levels of endogenous HeLa proteins varied by up to seven orders of magnitude. The average turnover rate for HeLa proteins was ~20 h. Turnover rate did not correlate with either molecular weight or net charge, but did correlate with abundance, with highly abundant proteins showing longer than average half-lives. Fast turnover proteins had overall a higher frequency of PEST motifs than slow turnover proteins but no general correlation was observed between amino or carboxyl terminal amino acid identities and turnover rates. A subset of proteins was identified that exist in pools with different turnover rates depending on their subcellular localization. This strongly correlated with subunits of large, multiprotein complexes, suggesting a general mechanism whereby their assembly is controlled in a different subcellular location to their main site of function.
在基因组时代后,测量内源性细胞蛋白的特性(如表达水平、亚细胞定位和周转率)仍然是一个主要挑战。测量 mRNA 表达的定量方法不能可靠地预测相应的蛋白质水平,并且几乎不能提供其他蛋白质特性的信息。在这里,我们描述了一种组合脉冲标记、空间蛋白质组学和数据分析策略,用于描述内源性表达的、未标记的人类蛋白质在不同亚细胞区室中的表达、定位、合成、降解和周转率。使用定量质谱和稳定同位素标记的氨基酸在细胞培养物中,总共从 8001 个 HeLa 蛋白中定量了 80098 个肽,并用 PepTracker 开发的专用软件工具确定和可视化它们在细胞质、细胞核和核仁之间的空间分布。利用离子强度和同位素比值变化率的信息,计算了整个细胞以及相应的细胞质、核和核仁区室的蛋白质丰度水平、蛋白质合成、降解和周转率。内源性 HeLa 蛋白的表达水平差异可达七个数量级。HeLa 蛋白的平均周转率约为 20 小时。周转率与分子量或净电荷无关,但与丰度相关,高丰度蛋白质的半衰期比平均半衰期长。快速周转的蛋白质总体上比慢速周转的蛋白质具有更高频率的 PEST 基序,但未观察到氨基酸或羧基末端氨基酸身份与周转率之间的一般相关性。鉴定出的一组蛋白质存在于不同周转率的池中,这与它们的亚细胞定位有关。这与大的多蛋白复合物的亚基强烈相关,这表明了一种普遍的机制,即它们的组装在不同的亚细胞位置受到控制,而不是它们主要功能的位置。