Schaab Christoph
Kinaxo Biotechnologies GmbH, Martinsried, Germany.
Methods Mol Biol. 2011;696:41-57. doi: 10.1007/978-1-60761-987-1_3.
Regulation of protein phosphorylation plays an important role in many cellular processes, particularly in signal transduction. Diseases such as cancer and inflammation are often linked to aberrant signaling pathways. Mass spectrometry-based methods allow monitoring the phosphorylation status in an unbiased and quantitative manner. The analysis of this data requires the application of advanced statistical methods, some of which can be borrowed from the gene expression analysis field. Nevertheless, these methods have to be enhanced or complemented by new methods. After reviewing the key concepts of phosphoproteomics and some major data analysis methods, these tools are applied to a real-world data set.
蛋白质磷酸化的调控在许多细胞过程中起着重要作用，尤其是在信号转导方面。诸如癌症和炎症等疾病通常与异常的信号通路有关。基于质谱的方法能够以无偏倚且定量的方式监测磷酸化状态。对这些数据的分析需要应用先进的统计方法，其中一些方法可借鉴基因表达分析领域。然而，这些方法必须通过新方法加以改进或补充。在回顾了磷酸化蛋白质组学的关键概念和一些主要数据分析方法之后，将这些工具应用于一个实际数据集。
