Key result
Bioinformatics analysis identified 407 differentially expressed genes and 1,441 co-expression gene pairs in thoracic aortic aneurysm samples compared to normal samples.
Bioinformatics analysis identified 407 differentially expressed genes in TAA, highlighting KRTDAP, BICD1, and OR family genes as potential key players in its pathogenesis.
Identifies candidate genes for TAA pathogenesis; leaves open validation before any clinical translation.
BACKGROUND The aim of this study was to identify some key genes related to the pathogenesis of thoracic aortic aneurysm (TAA) and gain more insights to the molecular mechanism of TAA. MATERIAL AND METHODS The expression profile of GSE9106 was downloaded from the Gene Expression Omnibus (GEO) database. The data contained 58 TAA peripheral blood samples and 36 normal peripheral blood samples. The differently expressed genes (DEGs) between the TAA samples and the normal samples were identified via limma package of R. Functional enrichment analysis of the DEGs were performed via the Database for Annotation, Visualization and Integrated Discovery (DAVID). The differentially co-expressed genes in TAA samples compared to normal samples were identified via the DCGL package in R. The protein-protein interaction (PPI) network of the DEGs was constructed through the Search Tool for the Retrieval of Interacting Proteins (STARING) database and visualized by Cytoscape software. RESULTS A total of 407 DEGs were obtained in TAA samples compared with normal samples. The DEGs were enriched in 29 Gene Ontology (GO) terms. There were 1,441 co-expression gene pairs that had significant changes in the co-expression status in TAA samples compared with normal samples and a differential co-expression network was constructed based on them. Moreover, a PPI network of the DEGs was constructed, containing 101 nodes. CONCLUSIONS Bioinformatics methods could identify significant biological processes and genes related to TAA. KRTDAP, BICD1, and genes in the OR family might play an important role in TAA.
No takes yet. Share an insight, caveat, or question.
Li et al. (2018) studied Thoracic aortic aneurysm (TAA) (n=94). Thoracic aortic aneurysm vs. Normal peripheral blood samples was evaluated on Differentially expressed genes (DEGs). Bioinformatics analysis identified 407 differentially expressed genes and 1,441 co-expression gene pairs in thoracic aortic aneurysm samples compared to normal samples.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: