磷酸蛋白质组学
蛋白质组
蛋白质组学
磷酸肽
磷酸化
蛋白质磷酸化
计算生物学
生物
化学
生物化学
蛋白激酶A
基因
作者
Noé Perron,Bowen Tan,Craig R. Dufresne,Sixue Chen
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2022-01-01
卷期号:: 347-368
被引量:1
标识
DOI:10.1016/bs.mie.2022.06.004
摘要
Among all post-translational modifications of proteins, phosphorylation is one of the most common and most studied. Since plants are sessile organisms, many physiological processes on which their survival depends are regulated by phosphorylation and dephosphorylation. Understanding the extent to which a plant proteome is phosphorylated at specific developmental stages and/or under certain environmental conditions is essential for identifying molecular switches that regulate physiological processes and responses. While most phosphoproteomic workflows proposed in the literature provide tools to exclusively analyze phosphorylated proteins, it is imperative to examine both the proteome and the phosphoproteome to reveal the true complexity of a biological process. Here we describe a mass spectrometry-based phosphoproteomics workflow to analyze both total and phosphorylated proteins. Our method includes phenol-based protein extraction, as well as techniques to measure the quantity and quality of protein extracts. In addition, we compare in detail the efficiency and suitability of in-gel and in-solution trypsin digestion methods. A metal oxide affinity chromatography technique for rapid and efficient enrichment of phosphorylated peptides and an LC-MS/MS method for analysis of the phosphorylated peptides are described. Finally, we present and discuss the results generated by applying this workflow to our study of the C3 to CAM transition in the common ice plant (Mesembryanthemum crystallinum). Overall, our workflow provides robust methods for the identification of phosphoproteins and total proteins. It can be broadly applied to many other organisms and sample types, and the results provide a more accurate picture of the molecular switches that regulate different biological processes.
科研通智能强力驱动
Strongly Powered by AbleSci AI