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Title 

A protein interaction network associated with asthma

Authors 

S HwangS W SonSang Cheol KimYoung Joo KimH JeongD Lee

Publisher 

Elsevier

Issue Date 

2008

Citation 

Journal of Theoretical Biology, vol. 252, no. 4, pp. 722-731

Keywords 

disease networkmicroarray expressionprotein-protein interactionsystem biologyasthmadiseasemappingproteinbiological activitydrug targeting

Abstract 

Identifying candidate genes related to complex diseases or traits and mapping their relationships require a system-level analysis at a cellular scale. The objective of the present study is to systematically analyze the complex effects of interrelated genes and provide a framework for revealing their relationships in association with a specific disease (asthma in this case). We observed that protein-protein interaction (PPI) networks associated with asthma have a power-law connectivity distribution as many other biological networks have. The hub nodes and skeleton substructure of the result network are consistent with the prior knowledge about asthma pathways, and also suggest unknown candidate target genes associated with asthma, including GNB2L1, BRCA1, CBL, and VAV1. In particular, GNB2L1 appears to play a very important role in the asthma network through frequent interactions with key proteins in cellular signaling. This network-based approach represents an alternative method for analyzing the complex effects of candidate genes associated with complex diseases and suggesting a list of gene drug targets.

ISSN 

0022-5193

Link 

http://dx.doi.org/10.1016/j.jtbi.2008.02.011

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


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