Figure 2

Heat map and partial least squares discriminant analysis of kidney proteins showing the maximum discrimination between the four time-points. (A) Heat map of 50 top-ranking proteins identified by statistical analysis. Each row represents a protein and each column corresponds to a time point. Normalized Z-scores of protein abundance are depicted as a pseudocolor scale, with red and blue representing upregulation and downregulation, respectively. The dendrogram shows the outcome of unsupervised hierarchical clustering, placing similar proteome profile values near each other. Visual inspection of the dendrogram and heat map confirms the ability of these proteins to clearly distinguish between the different conditions. (B) Two-dimensional scatter plot of PLS-DA representing four time points: T-1 (white circles), T0 (gray circles), T60 (blue circles), and T120 (red circles) based on the combined application of ANOVA, t-test, SVM learning and PLS-DA. Ellipsis indicates 95% confidence interval. Visual inspection of the scatter plot demonstrates the ability of these proteins to clearly distinguish between the different time points.