DocumentCode :
3458791
Title :
Global Network Features of Cancer Genes in the Human Interactome
Author :
Sun, Jingchun ; Jia, Peilin ; Zhao, Zhongming
Author_Institution :
Dept. of Psychiatry, Virginia Commonwealth Univ., Richmond, VA, USA
fYear :
2009
fDate :
3-5 Aug. 2009
Firstpage :
412
Lastpage :
416
Abstract :
It has been commonly accepted that protein-protein interaction network contains valuable information for elucidation of biological processes. Such information, which is difficult to be identified from traditional genetic studies, is important for uncovering the mechanisms of complex diseases such as cancers. In this study, we performed a systematic analysis of global network characteristics for the proteins encoded by cancer genes in the human interactome. We observed that the network topology of the cancer genes was much different from that of non-cancer genes. Overall, compared to non-cancer genes, proteins of cancer genes tend to have higher connectivity, higher betweenness, shorter shortest-path distance, and weaker clustering coefficient in the human interactome. Furthermore, we examined and compared topological features of the recessive and dominant cancer genes. Among the four topological measures we took in this study, recessive cancer genes had significantly different degree distribution or significantly stronger betweenness from dominant cancer genes, while their difference in terms of shortest-path distance and clustering coefficient was not significant. The results suggest that cancer genespsila protein-protein interactions play important roles in the etiology of cancers.
Keywords :
bioinformatics; cancer; genetics; molecular biophysics; proteins; tumours; biological process; cancer etiology; complex diseases; dominant cancer gene; global network characteristics; human interactome; noncancer genes; protein-protein interaction networks; proteins encoded cancer genes; recessive cancer gene; shorter shortest-path distance; systematic analysis; traditional genetic studies; weaker clustering coefficient; Cancer; Humans; cancer genes; gene network; global network characteristics; human interactome; protein-protein interaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS '09. International Joint Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3739-9
Type :
conf
DOI :
10.1109/IJCBS.2009.62
Filename :
5260615
Link To Document :
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