Insights into functional connectivity in mammalian signal transduction pathways by pairwise comparison of protein interaction partners of critical signaling hubs
Abstract
Growth factors and cytokines activate signal transduction pathways and regulate gene expression in eukaryotes. Intracellular domains of activated receptors recruit several protein kinases as well as transcription factors that serve as platforms or hubs for the assembly of multi-protein complexes. The signaling hubs involved in a related biologic function often share common interaction proteins and target genes. This functional connectivity suggests that a pairwise comparison of protein interaction partners of signaling hubs and network analysis of common partners and their expression analysis might lead to the identification of critical nodes in cellular signaling. A pairwise comparison of signaling hubs across several related pathways might also reveal novel signaling modules. Analysis of Protein Interaction Connectome by Venn (PIC-VENN) of transcription factors STAT1, STAT3, NFKB1, RELA, FOS and JUN, and their common interaction network suggested that BRCA1 and TSC22D3 function as critical nodes in immune responses by connecting the signaling nodes into signaling modules. Mutations or differential expression levels of these critical nodes in pathological conditions might deregulate signaling pathways and their target genes involved in inflammation. Biological connectivity emerges from the structural connectivity of interaction networks across several signaling hubs in related pathways. Application of PIC-VENN to several signaling hubs might reveal novel nodes and modules that can be targeted to simultaneously activate or inhibit cell signaling in health and disease.
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