Skip to main content
Fig. 3 | Genome Biology

Fig. 3

From: Dynamic rewiring of the human interactome by interferon signaling

Fig. 3

Biological relevance of the IFN interactome. a Precision-recall curve of all protein-protein interactions from unstimulated and IFN-stimulated networks (solid line), or unique interactions only (dashed line). b Proportion of all detected interactions observed in both networks or in one condition only. c Number of interactions in the unstimulated and IFN-stimulated network detected in both networks or in one condition only. d Number of proteins for which at least one interaction was detected in the unstimulated and IFN-stimulated network or in one condition only. e Number of interactions in the unstimulated and IFN-stimulated network involving a protein for which a statistically significant change in abundance was detected at 24 h by SILAC shotgun proteomics at 5% FDR, and the subset of these for which a twofold or greater change in abundance was detected. f Maximum log2-fold change among interacting protein pairs detected in both networks, the unstimulated network only, or the IFN-stimulated network only. gi Proportion of interacting protein pairs sharing at least one biological process (g), cellular compartment (h), or molecular function (i) Gene Ontology term in the IFN interactome, arrow, or 1000 randomly rewired networks, histogram. j Proportion of interacting protein pairs implicated in the same disease in the IFN interactome, arrow, or 1000 randomly rewired networks, histogram. k Proportion of interacting protein pairs supported by a domain-domain interaction [39] in the IFN interactome, arrow, or 1000 randomly rewired networks, histogram. l Pearson’s correlations reflecting protein abundance and phylogenetic profile similarity between interacting protein pairs in the IFN interactome or a randomly rewired network. m Proportion of previously known interactions in unstimulated and IFN-stimulated cells. n Number of genes found to be differentially expressed at 1% FDR in meta-analyses of gene expression in eleven infectious or autoimmune diseases that were identified in the unstimulated or IFN-stimulated networks, or both

Back to article page