Department of Molecular Biology, Brown University, Providence, Rhode Island 02912, USA.
Mol Cell Proteomics. 2009 Nov;8(11):2418-31. doi: 10.1074/mcp.M800307-MCP200. Epub 2009 Jul 14.
Reversible protein phosphorylation plays a pivotal role in the regulation of cellular signaling pathways. Current approaches in phosphoproteomics focus on analysis of the global phosphoproteome in a single cellular state or of receptor stimulation time course experiments, often with a restricted number of time points. Although these studies have provided some insights into newly discovered phosphorylation sites that may be involved in pathways, they alone do not provide enough information to make precise predictions of the placement of individual phosphorylation events within a signaling pathway. Protein disruption and site-directed mutagenesis are essential to clearly define the precise biological roles of the hundreds of newly discovered phosphorylation sites uncovered in modern proteomics experiments. We have combined genetic analysis with quantitative proteomic methods and recently developed visual analysis tools to dissect the tyrosine phosphoproteome of isogenic Zap-70 tyrosine kinase null and reconstituted Jurkat T cells. In our approach, label-free quantitation using normalization to copurified phosphopeptide standards is applied to assemble high density temporal data within a single cell type, either Zap-70 null or reconstituted cells, providing a list of candidate phosphorylation sites that change in abundance after T cell stimulation. Stable isotopic labeling of amino acids in cell culture (SILAC) ratios are then used to compare Zap-70 null and reconstituted cells across a time course of receptor stimulation, providing direct information about the placement of newly observed phosphorylation sites relative to Zap-70. These methods are adaptable to any cell culture signaling system in which isogenic wild type and mutant cells have been or can be derived using any available phosphopeptide enrichment strategy.
可逆蛋白磷酸化在细胞信号通路的调控中起着关键作用。目前的磷酸蛋白质组学方法侧重于在单个细胞状态下分析全局磷酸蛋白质组,或者分析受体刺激时间过程实验,通常只有有限数量的时间点。尽管这些研究为新发现的可能参与途径的磷酸化位点提供了一些见解,但它们本身并不能提供足够的信息来精确预测信号通路中单个磷酸化事件的位置。蛋白干扰和定点突变对于明确定义在现代蛋白质组学实验中发现的数百个新磷酸化位点的精确生物学作用至关重要。我们将遗传分析与定量蛋白质组学方法以及最近开发的可视化分析工具相结合,用于剖析同种型 Zap-70 酪氨酸激酶缺失和重建的 Jurkat T 细胞的酪氨酸磷酸蛋白质组。在我们的方法中,使用归一化到共纯化磷酸肽标准品的无标记定量来组装单个细胞类型(Zap-70 缺失或重建细胞)中的高密度时间数据,提供一组在 T 细胞刺激后丰度发生变化的候选磷酸化位点。然后使用细胞培养物中的稳定同位素标记的氨基酸(SILAC)比率来比较受体刺激时间过程中的 Zap-70 缺失和重建细胞,提供有关相对于 Zap-70 新观察到的磷酸化位点位置的直接信息。这些方法适用于任何细胞培养信号系统,其中同种型野生型和突变型细胞已经或可以使用任何可用的磷酸肽富集策略衍生。