Introduction: As a common disease with a complex risk, including genetic and environmental factors, atopic asthma is prevalent but treatable. The aim of the study was to predict the underlying mechanism of asthma and identify target genes for the disease.
Methods: The affymetrix chip data, GSE18965, were available from Gene Expression Omnibus and the differentially expressed genes (DEGs) between nine atopic asthmatic specimens and seven healthy nonatopic samples were identified by R. Then Gene Ontology and pathway enrichment analyses were performed to these DEGs. Further, search tool for the retrieval of interacting genes/proteins (STRING) was used to select protein-protein interaction (PPI) for DEGs, and then the network was visualized by Cytoscape. Finally, transcription factor binding site analysis was conducted to the hot gene.
Results: Total 565 DEGs were identified, including 535 upregulated and 30 downregulated genes. The upregulated genes, such as structural maintenance of chromosome (SMC)3, significantly affected cellular component of extracellular matrix (P = 1.56E-04). Otherwise, DEGs were remarkably enriched in three pathways, including transforming growth factor-beta signaling pathway (P = 0.005252649). Further, SMC3 was detected as hot gene in PPI network, and NET (Elk3) was predicted as the significant transcription factor for this gene.
Conclusion: SMC3 may play an important role in atopic asthma development; therefore, it has the potential to be the target for the disease. Moreover, our findings provide more knowledge about the mechanism of atopic asthma and help the researchers to explore it in future.
Keywords: asthma; differentially expressed genes; functional analysis; protein-protein interaction network; transcription factor binding site.
© 2014 John Wiley & Sons Ltd.