Molecular Subsets in the Gene Expression Signatures of Scleroderma Skin (original) (raw)
Figure 5
Correlation between gene expression and clinical covariates.
A. Shown is the color-coded heatmap of the 75 arrays and 995 intrinsic genes. The graph on the right of the heat map shows disease duration for each sample. Disease duration was set to zero for normal controls and morphea samples. B. Pearson correlations were calculated between skin score and the expression values for each gene in the list. The moving average of the Pearson correlation (10-gene window) was plotted. Regions of high negative and high positive correlations to the three different clinical parameters are indicated (regions I–III shaded grey). C. Moving average of the Pearson correlation coefficients (10-gene window) between the self-reported Raynaud's severity score and the expression of each gene, D. Moving average of the Pearson Correlations (10-gene window) between extent of skin involvement and a diagnosis vector (see Methods) for dSSc(red), lSSc (orange) and healthy controls (green). E. Box plot of disease duration for dSSc patients. The patients included in the diffuse-proliferation group had disease duration of 8.4±6.4 years. The dSSc patients that fell into the inflammatory or normal-like groups have disease duration of 3.2±3.9 yrs (p<0.12, t-test). F. Genes that ideally discriminate ‘Diffuse 1’ and ‘Diffuse 2’ groups were selected using Significance Analysis of Microarrays (SAM). 329 genes were selected with an FDR<1%. Pearson correlation coefficients were calculated between each clinical parameter and the expression for each gene and plotted as a 10-gene moving window.