CNC - Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal; Faculty of Sciences and Technology, University of Coimbra, Coimbra, Portugal; CNC, IBILI, University of Coimbra, Coimbra, Portugal.
CNC, IBILI, University of Coimbra, Coimbra, Portugal; Institute of Biomedical Imaging and Life Sciences (IBILI), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.
J Proteomics. 2018 Jan 16;171:116-126. doi: 10.1016/j.jprot.2017.04.011. Epub 2017 Apr 19.
Considering that proteins are usually engaged in complex and dynamic networks of interactions to exert their activity, a way to understand proteins' functions and the molecular mechanisms in which those proteins are involved, is by studying their interactome. In this sense, this tutorial presents a simple pipeline for the analysis of the network of interactions of a protein in order to reach a biological interpretation of the mechanisms modulated by those interactions, and to understand how these interactions are affected by the experimental conditions. The entire pipeline is explained using as example the previously published work "Interacting network of the gap junction protein connexin43 is modulated by ischemia and reperfusion in the heart", and by using user-friendly and freely available software. Moreover, the pipeline presented in this article is not limited to interactomic approaches, being also useful for the analysis of dynamic alterations of other proteomic screenings.
This tutorial presents a simplified pipeline for the analysis of the network of interactions of a protein in order to reach to a biological interpretation of the mechanisms modulated by those interactions, which constitutes an important way to understand proteins' functions and the molecular mechanisms in which those proteins are involved. Moreover, when interactomics is applied to perform an in-depth molecular analysis of novel disease proteins, it can result in an understanding of disease-causing mechanisms and create drug discovery opportunities. Nevertheless, the pipeline presented can be also useful for the analysis of dynamic alterations of other biomolecules.
考虑到蛋白质通常参与复杂和动态的相互作用网络以发挥其活性,了解蛋白质的功能以及这些蛋白质所涉及的分子机制的一种方法是研究它们的相互作用组。从这个意义上说,本教程提供了一种用于分析蛋白质相互作用网络的简单流程,以达到对这些相互作用所调节的机制的生物学解释,并了解这些相互作用如何受到实验条件的影响。整个流程使用先前发表的工作“在心脏中,缺血再灌注调节间隙连接蛋白 43 的相互作用网络”为例,并使用用户友好且免费的软件进行了解释。此外,本文中提出的流程不仅限于相互作用组学方法,对于其他蛋白质组筛选的动态变化分析也很有用。
本教程提供了一种用于分析蛋白质相互作用网络的简化流程,以达到对这些相互作用所调节的机制的生物学解释,这是理解蛋白质功能和这些蛋白质所涉及的分子机制的重要途径。此外,当相互作用组学被应用于对新型疾病蛋白进行深入的分子分析时,它可以导致对致病机制的理解并创造药物发现机会。然而,所提出的流程对于其他生物分子的动态变化分析也很有用。