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grazia cicirelli



On Saturday 8th February 2014, ISSIA participates to the project: “CHE SCUOLA FA”. High-Technological systems such as robots and haptic intefaces are shown to people and in particular to young students for a forefront didactics.

ISSIA’s Bioinformatics cancer research on Plos One

ISSIA’s bionformaticians published on Plos One a computational pipeline to predict putative cancer “driver” genes by focusing on their network properties. Carcinogenesis is a complex process driven by alterations that can occur indifferently in regulatory or coding sites of genes. Indeed, the coding region alterations and the post-translational modifications can modify the protein activity without affecting the gene expression level, but altering the interaction pattern with other genes. Hence, these considerations motivate the analysis of changes in gene interaction networks between normal and cancer conditions. In this framework, the researchers suggest that co-expression network approaches based on the study of connectivity can reveal those driver genes that play a role in tumor biology due to modifications in gene interactions. As a result, the study shows that the loss of connectivity in co-expression gene networks is a common trait of cancer tissues and that their connectivity-based approaches can highlight novel putative cancer genes. Moreover, in the study of gene biosystems, the differential connectivity complements and extends the informative content provided by differential expression. Finally, they suggest their integrated pathway analysis as a valid hypothesis generator for the discovery of candidate cancer-related biosystems not still fully investigated.

Citation: Anglani R, Creanza TM, Liuzzi VC, Piepoli A, Panza A, et al. (2014) “Loss of Connectivity in Cancer Co-Expression Networks”. PLoS ONE 9(1): e87075.