Figure 1

Differentially expressed miRNAs in skin tissue of AD and PV patients. (A) Principal component (PC) analysis of the miRNA profiling of the skin samples. Unit variance scaling is applied to rows; SVD with imputation is used to calculate principal components. X and Y axis show principal component 1 and principal component 2 that explain 64.2% and 6.3% of the total variance, respectively. Prediction ellipses are such that with probability 0.95, a new observation from the same group will fall inside the ellipse. N = 31 data points. (B) Venn diagram comparing the number of differentially expressed miRNAs from AD vs controls with PV vs controls analyses. (C) Hierarchical clustering analysis: heat map showing the differentially expressed miRNAs by studied groups plotted using ClustVis (correlation distance measure and average linkage function). Score values of principal component analysis (PCA) calculated from log2 values from the array miRNA expression signals were used. Clustered up- and down-regulated genes in AD and/or PV vs controls and AD vs PV from the profiling cohort. (D) Enrichment analysis of skin tissue samples for biological pathways performed with Enrichr. (E) Sites of expression of differentially expressed miRNAs-gene targets of skin tissue samples performed with Target Scan and Enrichr.