Integration of Gene Expression Profile Data to Verify Hub Genes of Patients with Stanford A Aortic Dissection

BioMed Research International
Weitie WangKexiang Liu

Abstract

Thoracic aortic dissection (TAD) is a catastrophic disease worldwide, but the pathogenic genes and pathways are largely unclear. This study aims at integrating two gene expression profile datasets and verifying hub genes and pathways involved in TAD as well as exploring potential molecular mechanisms. We will combine our mRNAs expression profile (6 TAD tissues versus 6 non-TAD tissues) and GSE52093 downloaded from the Gene Expression Omnibus (GEO) database. The two mRNAs expression profiles contained 13 TAD aortic tissues and 11 non-TAD tissues. The two expression profile datasets were integrated and we found out coexpression of differentially expressed genes (DEGs) using bioinformatics methods. The gene ontology and pathway enrichment of DEGs were performed by DAVID and Kyoto Encyclopedia of Genes and Genomes online analyses, respectively. The protein-protein interaction networks of the DEGs were constructed according to the data from the STRING database. Cytohubber calculating result shows the top 10 hub genes with CDC20, AURKA, RFC4, MCM4, TYMS, MCM2, DLGAP5, FANCI, BIRC5, and POLE2. Module analysis revealed that TAD was associated with significant pathways including cell cycle, vascular smooth muscle contraction, and adrene...Continue Reading

References

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Datasets Mentioned

BETA
GSE52093
GSE
52093

Methods Mentioned

BETA
dissection
Reverse Transcription-PCR
PCR

Software Mentioned

DAVID Database for Annotation , Visualization , and Integrated...
affy package
STRING
limma
Primer
DAVID
cytohubber calculating
Molecular Complex Detection ( MCODE )
cytoHubba
MCODE

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