Laboratory of Quantitative Proteomics, Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK.
Laboratory of Quantitative Proteomics, Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK.
Curr Opin Chem Biol. 2019 Feb;48:114-122. doi: 10.1016/j.cbpa.2018.10.011. Epub 2018 Dec 11.
Proteomes are highly dynamic and can respond rapidly to environmental and cellular signals. Within cells, proteins often form distinct pools with different functions and properties. However, in quantitative proteomics studies it is common to measure averaged values for proteins that do not reflect variations that may occur between different protein isoforms, different subcellular compartments, or in cells at different cell cycle stages and so on. Here we review experimental approaches that can be used to enhance the signal from specific pools of protein that may otherwise be obscured through averaging across protein populations. This signal enhancement can help to reveal functions associated with specific protein pools, providing insight into the regulation of cellular processes. We review different strategies for proteomic signal enhancement, with a focus on the analysis of protein pools in different subcellular locations. We describe how MS-based proteome analyses can be combined with a general physico-chemical cell fractionation procedure that can be applied to many cultured cell lines.
蛋白质组具有高度动态性,可以快速响应环境和细胞信号。在细胞内,蛋白质通常形成具有不同功能和特性的不同池。然而,在定量蛋白质组学研究中,通常会测量蛋白质的平均值,而这些平均值并不能反映不同蛋白质亚型、不同亚细胞区室或处于不同细胞周期阶段的细胞之间可能发生的变化等。在这里,我们回顾了可以用来增强特定蛋白质池信号的实验方法,否则这些信号可能会被通过对蛋白质群体进行平均而掩盖。这种信号增强有助于揭示与特定蛋白质池相关的功能,深入了解细胞过程的调控。我们回顾了不同的蛋白质组学信号增强策略,重点是分析不同亚细胞位置的蛋白质池。我们描述了如何将基于 MS 的蛋白质组分析与一般理化细胞分级分离程序相结合,该程序可应用于许多培养细胞系。