Brauer Elizabeth K, Popescu Sorina C, Popescu George V
The Boyce Thompson Institute for Plant Research, 533 Tower Road, Office 121, Ithaca, NY, 14850, USA.
Methods Mol Biol. 2014;1171:217-35. doi: 10.1007/978-1-4939-0922-3_17.
Comprehensive analysis of protein kinases and cellular signaling pathways requires the identification of kinase substrates and interaction partners using large-scale amenable approaches. Here, we describe our methods for producing plant protein microarrays (PMAs) and discuss various parameters critical to the quality of PMAs. Next, we describe methods for detecting protein-protein interactions and kinase activity including auto-phosphorylation and substrate phosphorylation. We have provided a short video demonstrating how to conduct an interaction assay and how to properly handle a protein microarray. Finally, a set of analytical methods are presented as a bioinformatics pipeline for the acquisition of PMA data and for selecting PMA candidates using statistical testing. The experimental and analytical protocols described here outline the steps to produce and utilize PMAs to analyze signaling networks.
对蛋白激酶和细胞信号通路进行全面分析,需要采用大规模适用方法来鉴定激酶底物和相互作用伙伴。在此,我们描述了生产植物蛋白微阵列(PMA)的方法,并讨论了对PMA质量至关重要的各种参数。接下来,我们描述了检测蛋白质-蛋白质相互作用和激酶活性(包括自磷酸化和底物磷酸化)的方法。我们提供了一个短视频,展示了如何进行相互作用测定以及如何正确处理蛋白微阵列。最后,介绍了一组分析方法,作为一种生物信息学流程,用于获取PMA数据并通过统计测试选择PMA候选物。这里描述的实验和分析方案概述了生产和利用PMA来分析信号网络的步骤。