J4 ›› 2012, Vol. 47 ›› Issue (7): 6-9.

• Articles • Previous Articles     Next Articles

Network-based differential analyses of cancer-related and unrelated genes

NIE Ya-ling1, 2, YU Jing-kai1*   

  1. 1. National Key Laboratory of Biochemical Engineering, Institute of Process Engineering,  Chinese Academy of Sciences,
     Beijing 100190, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2012-03-23 Online:2012-07-20 Published:2012-09-01

Abstract:

Analyzing differences between cancer-related and unrelated genes based on their topological attributes in the protein-protein interaction (PPI) network. We constructed a comprehensive human PPI network with data collected from multiple PPI databases; obtained a set of known breast cancer genes from the OMIM database; and compared cancer-related and unrelated genes based on their topological attributes in the PPI network. The results obtained as follows: (1) We constructed a comprehensive human PPI network and obtained a known breast cancer gene set; (2) We showed that known cancer genes exhibit significantly different network topologies from random genes in the network. A comprehensive PPI network can help us to differentiate cancer genes from unrelated ones by their distinctive topological attributes, such as node degrees, node betweenness and maximally connected components.

Key words: protein-protein interaction; cancer genes; degrees; betweenness; maximally connected components

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