European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom.
J Proteome Res. 2012 Apr 6;11(4):2014-31. doi: 10.1021/pr201211w. Epub 2012 Mar 2.
The advent of the "omics" era in biology research has brought new challenges and requires the development of novel strategies to answer previously intractable questions. Molecular interaction networks provide a framework to visualize cellular processes, but their complexity often makes their interpretation an overwhelming task. The inherently artificial nature of interaction detection methods and the incompleteness of currently available interaction maps call for a careful and well-informed utilization of this valuable data. In this tutorial, we aim to give an overview of the key aspects that any researcher needs to consider when working with molecular interaction data sets and we outline an example for interactome analysis. Using the molecular interaction database IntAct, the software platform Cytoscape, and its plugins BiNGO and clusterMaker, and taking as a starting point a list of proteins identified in a mass spectrometry-based proteomics experiment, we show how to build, visualize, and analyze a protein-protein interaction network.
生物学研究中“组学”时代的到来带来了新的挑战,需要开发新的策略来回答以前难以解决的问题。分子相互作用网络为可视化细胞过程提供了一个框架,但它们的复杂性常常使得对其进行解释成为一项艰巨的任务。相互作用检测方法的固有人为性质以及当前可用相互作用图谱的不完整性要求对这些有价值的数据进行仔细和明智的利用。在本教程中,我们旨在概述任何研究人员在使用分子相互作用数据集时需要考虑的关键方面,并概述一个相互作用组分析的示例。我们使用分子相互作用数据库 IntAct、软件平台 Cytoscape 及其插件 BiNGO 和 clusterMaker,以基于质谱的蛋白质组学实验中鉴定的蛋白质列表为起点,展示如何构建、可视化和分析蛋白质-蛋白质相互作用网络。