DocumentCode :
35481
Title :
Identify asthma genes across three phases based on protein–protein interaction network
Author :
Fengyong Yang ; Xianling Yu ; Liping Wang ; Lili Liu ; Xiaorong Xu ; Xingfeng Zheng ; Guangchen Wei
Author_Institution :
ICU, People´s Hosp. of Laiwu City, Laiwu, China
Volume :
9
Issue :
4
fYear :
2015
fDate :
8 2015
Firstpage :
135
Lastpage :
140
Abstract :
Asthma is a common inflammatory disease that is generally caused by genetic mutations or environmental factors. Recently, the emerging of omics data provides an alternative way to understand asthma. In this study, the authors present a new framework to detect asthma disease genes based on protein-protein interaction network (PPIN) and gene expression. Specifically, they construct PPINs for different stages of asthma, and detect those interactions occurred in the specific stages. By investigating the proteins in these stage-specific interactions, they find they are more likely related to asthma, and the functional enrichment analysis indicate that the pathways enriched in the differential interactions are related to the progress of asthma. Moreover, some proteins in the differential interactions have been previously reported to be related to asthma in the literature, implying the usefulness of the proposed approach.
Keywords :
diseases; genetics; genomics; lung; molecular biophysics; molecule-molecule collisions; molecule-molecule reactions; pneumodynamics; proteins; PPIN construction; asthma disease gene detection; asthma gene expression; asthma gene identification; asthma progress-related differential interactions; asthma stage-specific interactions; asthma stages; asthma-associated omics data; asthma-related interactions; common inflammatory disease; differential interaction proteins; environmental factors; functional enrichment analysis; genetic mutation-caused disease; protein-protein interaction network; stage-specific interaction proteins; three-phase gene identification;
fLanguage :
English
Journal_Title :
Systems Biology, IET
Publisher :
iet
ISSN :
1751-8849
Type :
jour
DOI :
10.1049/iet-syb.2015.0001
Filename :
7181746
Link To Document :
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