Table 1.
Study information and QC measure summary.
Table 2.
Results of node centrality analysis.
Figure 1.
PCA biplot numbers on PCA biplot represents studies in Table 1.
Study number placed opposite to quality measure axes are of low quality and should be excluded. No outlier study was detected.
Figure 2.
Degree-Fold Change relationship.
Nodes with higher degree has lower fold change of gene expression in all network types. Genes between red lines have higher average degree and are filtered out from network analysis. Remaining nodes in DEG-derived networks have lower average degree and connectivity.
Table 3.
Results of general network analysis.
Table 4.
Top rated nodes in DEG-derived networks.
Figure 3.
Network motifs with 3 or 4 nodes.
Analysis results of the respective motif can be found in Table 5.
Table 5.
Summary of network motif analysis.
Figure 4.
Positive feedback loops and the merged controller sub-network in lesional psoriatic skin.
Individual positive feedback loops with 2, 3 or 4 nodes are shown. Node color is blue if the gene expression is decreased and red if increased. Merged controller sub-network is shown on the top. Node color is proportional with fold change. red line: gene regulatory interaction; blue line: protein-protein interaction; arrow-headed line: activation; bar-headed line: inhibition
Table 6.
Boolean analysis of controller network.
Table 7.
Published Drugs.
Figure 5.
Effect of anti-psoriatic drugs on controller network.
Higher number of effective anti-psoriatic drugs act on controller nodes than on other proteins. Totally the targets of 32 effective anti-psoriatic drugs were analyzed (median 10 vs. 1) *p<0.001
Table 8.
Drug candidates unassociated with psoriasis.