Robotti Elisa, Marengo Emilio
Department of Sciences and Technological Innovation, University of Piemonte Orientale, Viale Michel 11, 15121, Alessandria, Italy.
Methods Mol Biol. 2018;1664:25-39. doi: 10.1007/978-1-4939-7268-5_3.
2D-DIGE is still a very widespread technique in proteomics for the identification of panels of biomarkers, allowing to tackle with some important drawback of classical two-dimensional gel-electrophoresis. However, once 2D-gels are obtained, they must undergo a quite articulated multistep image analysis procedure before the final differential analysis via statistical mono- and multivariate methods. Here, the main steps of image analysis software are described and the most recent procedures reported in the literature are briefly presented.
二维差异凝胶电泳（2D-DIGE）在蛋白质组学中仍是一种广泛应用的技术，用于鉴定生物标志物组，它能够解决经典二维凝胶电泳的一些重要缺陷。然而，一旦获得二维凝胶，在通过统计单变量和多变量方法进行最终差异分析之前，它们必须经过一个相当复杂的多步骤图像分析程序。在此，将描述图像分析软件的主要步骤，并简要介绍文献中报道的最新程序。
