Fig. 4.

Principal component analysis (PCA) and hierarchical clustering for comparison of gene expression patterns of phMECs under physiological (phys.) and pathophysiological (patho.) flow conditions. a MA plot showing DESeq2 filtered genes (25,159 genes). 980 of these genes were significantly regulated (p < 0.1; shown in red). b PCA showing clustering of the two treatment groups, respectively. The fraction of the variance is 13% for eigenvector 1 and 36% for eigenvector 2. c Hierarchical cluster analysis of the two treatment groups recapitulating observations from PCA. d Expression heatmap showing Euclidian sample-to-sample distance matrix with hierarchical clustering of 980 differentially regulated genes in the 2 treatment groups