Schultz Jakob, Gottlieb David Mark, Petersen Marianne, Nesic Ljiljana, Jacobsen Susanne, Søndergaard Ib
BioCentrum-DTU, Biochemistry and Nutrition, Søltofts Plads, Technical University of Denmark, Kgs. Lyngby, Denmark.
Electrophoresis. 2004 Feb;25(3):502-11. doi: 10.1002/elps.200305715.
Methods for classification of two-dimensional (2-DE) electrophoresis gels based on multivariate data analysis are demonstrated. Two-dimensional gels of ten wheat varieties are analyzed and it is demonstrated how to classify the wheat varieties in two qualities and a method for initial screening of gels is presented. First, an approach is demonstrated in which no prior knowledge of the separated proteins is used. Alignment of the gels followed by a simple transformation of data makes it possible to analyze the gels in an automated explorative manner by principal component analysis, to determine if the gels should be further analyzed. A more detailed approach is done by analyzing spot volume lists by principal components analysis and partial least square regression. The use of spot volume data offers a mean to investigate the spot pattern and link the classified protein patterns to distinct spots on the gels for further investigation. The explorative approach in analysis of 2-D gels makes it possible, in a fast and convenient way, to screen many gels in order to determine the protein patterns that form clusters and could be selected for further examination.
展示了基于多变量数据分析的二维（2-DE）电泳凝胶分类方法。分析了十个小麦品种的二维凝胶，并展示了如何将小麦品种分为两种品质类型，还提出了一种凝胶初步筛选方法。首先，展示了一种不使用分离蛋白质先验知识的方法。凝胶对齐后进行简单的数据转换，使得通过主成分分析以自动探索的方式分析凝胶成为可能，从而确定凝胶是否应进一步分析。通过主成分分析和偏最小二乘回归分析斑点体积列表来进行更详细的方法。使用斑点体积数据提供了一种手段来研究斑点模式，并将分类的蛋白质模式与凝胶上的不同斑点联系起来以便进一步研究。二维凝胶分析中的探索性方法使得能够以快速便捷的方式筛选许多凝胶，以确定形成簇并可选择进行进一步检查的蛋白质模式。
