Regulatory network motifs and hotspots of cancer genes in a mammalian cellular signalling network.

摘要: Mutations or overexpression of signalling genes can result in cancer development and metastasis. In this study, we manually assembled a human cellular network developed robust bioinformatics strategy for extracting cancer-associated single nucleotide polymorphisms (SNPs) using expressed sequence tags (ESTs). We then investigated the relationships [cancer-associated SNP genes, known as (CG) cell mobility (CMGs)] context. Through graph-theory-based analysis, found that CGs are significantly enriched hub proteins depleted some particular motif types. Furthermore, identified substantial number hotspots, three- four-node motifs which all nodes either CMGs. More importantly, uncovered convergent target most motifs, although CMGs source motifs. These results have implications foundations regulatory mechanisms