Scientific Reports · 2018 · 32 citations · 52 references
Life SciencesBiologyGeneticsGene RegulationGene Regulatory NetworksNetwork BiologyBiological NetworksDisease Network BiologyMolecular Interaction NetworksProtein-protein Interaction NetworksTurner SyndromeGene Network AnalysisGene Regulation Network AnalysisHub Gene IdentificationRegulatorsScale-free Network ModelingTurner Syndrome Genetics
Turner Syndrome (TS) is a condition where several genes are affected but the molecular mechanism remains unknown. Identifying the genes that regulate the TS network is one of the main challenges in understanding its aetiology. Here, we studied the regulatory network from manually curated genes reported in the literature and identified essential proteins involved in TS. The power-law distribution analysis showed that TS network carries scale-free hierarchical fractal attributes. This organization of the network maintained the self-ruled constitution of nodes at various levels without having centrality-lethality control systems. Out of twenty-seven genes culminating into leading hubs in the network, we identified two key regulators (KRs) i.e. KDM6A and BDNF. These KRs serve as the backbone for all the network activities. Removal of KRs does not cause its breakdown, rather a change in the topological properties was observed. Since essential proteins are evolutionarily conserved, the orthologs of selected interacting proteins in C. elegans, cat and macaque monkey (lower to higher level organisms) were identified. We deciphered three important interologs i.e. KDM6A-WDR5, KDM6A-ASH2L and WDR5-ASH2L that form a triangular motif. In conclusion, these KRs and identified interologs are expected to regulate the TS network signifying their biological importance.
52
Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
Paul Shannon, Andrew Markiel, Owen Ozier et al. · Genome Research · 2003 · 54.3K citations · Full text
Statistical mechanics of complex networks
Réka Albert, Albert-Ĺaszló Barabási · Reviews of Modern Physics · 2002 · 20.6K citations · Full text
Finding and evaluating community structure in networks
Michelle G. Newman, Michelle Girvan · Physical Review E · 2004 · 14.1K citations · Full text
The igraph software package for complex network research
Gábor Csárdi, Tamás Nepusz · Medical Entomology and Zoology · 2006 · 10.4K citations