Department of Biochemistry, Groningen Biomolecular Sciences and Biotechnology Institute, Netherlands Proteomics Centre and Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands.
Mol Cell Proteomics. 2010 Mar;9(3):431-45. doi: 10.1074/mcp.R900002-MCP200. Epub 2009 Dec 1.
Knowledge of the subcellular localization of proteins is indispensable to understand their physiological roles. In the past decade, 18 studies have been performed to analyze the protein content of isolated organelles from Saccharomyces cerevisiae. Here, we integrate the data sets and compare them with other large scale studies on protein localization and abundance. We evaluate the completeness and reliability of the organelle proteomics studies. Reliability depends on the purity of the organelle preparations, which unavoidably contain (small) amounts of contaminants from different locations. Quantitative proteomics methods can be used to distinguish between true organellar constituents and contaminants. Completeness is compromised when loosely or dynamically associated proteins are lost during organelle preparation and also depends on the sensitivity of the analytical methods for protein detection. There is a clear trend in the data from the 18 organelle proteomics studies showing that proteins of low abundance frequently escape detection. Proteins with unknown function or cellular abundance are also infrequently detected, indicating that these proteins may not be expressed under the conditions used. We discuss that the yeast organelle proteomics studies provide powerful lead data for further detailed studies and that methodological advances in organelle preparation and in protein detection may help to improve the completeness and reliability of the data.
了解蛋白质的亚细胞定位对于理解其生理功能是必不可少的。在过去的十年中,已经进行了 18 项研究来分析酿酒酵母分离细胞器的蛋白质含量。在这里,我们整合了数据集,并将其与其他大规模的蛋白质定位和丰度研究进行了比较。我们评估了细胞器蛋白质组学研究的完整性和可靠性。可靠性取决于细胞器制剂的纯度,而这些制剂不可避免地含有来自不同位置的(少量)污染物。定量蛋白质组学方法可用于区分真正的细胞器成分和污染物。在细胞器制备过程中,当松散或动态结合的蛋白质丢失时,完整性会受到影响,并且还取决于用于蛋白质检测的分析方法的灵敏度。18 项细胞器蛋白质组学研究的数据显示出明显的趋势,即低丰度的蛋白质经常检测不到。具有未知功能或细胞丰度的蛋白质也很少被检测到,这表明在使用的条件下这些蛋白质可能没有表达。我们讨论了酵母细胞器蛋白质组学研究为进一步的详细研究提供了有力的先导数据,并且细胞器制备和蛋白质检测方法的进展可能有助于提高数据的完整性和可靠性。