Data/hora: 01/06/2024 12:07:25

Provedor de dados: 	56	
País: 	Brazil	
Título: 	Identification of the molecular mechanisms associated with acute type A aortic dissection through bioinformatics methods	
Autores: 	Jiang,Tao; Si,Liangyi.	
Data: 	2019-01-01	
Ano: 	2019	
Palavras-chave: 	Aortic dissection; Differentially expressed genes; Functional enrichment analysis; Protein-protein interaction network; MicroRNAs; Small molecules.	
Resumo: 	Aortic dissection is characterized by the redirection of blood flow, which flows through an intimal tear into the aortic media. The purpose of this study was to find potential acute type A aortic dissection (AAAD)-related genes and molecular mechanisms by bioinformatics. The gene expression profiles of GSE52093 were obtained from Gene Expression Omnibus (GEO) database, including 7 AAAD samples and 5 normal samples. The differentially expressed genes (DEGs) were detected between AAAD and normal samples. The functional annotation and pathway enrichment analysis were conducted through the Database for Annotation, Visualization and Integration Discovery (DAVID). A protein-protein interaction network was established by the Search Tool for the Retrieval of Interacting Genes (STRING) software. The microRNAs (miRNAs) of these differentially expressed genes were predicted using &lt;microRNA.org&gt; database. Moreover, DEGs were analyzed in the comparative toxicogenomics (CTD) database to screen out the potential therapeutic small molecules. As a result, there were 172 DEGs identified in patients with AAAD. These DEGs were significantly enriched in 6 pathways, including cell cycle, oocyte meiosis, DNA replication, extracellular matrix-receptor interaction, and mineral absorption pathway. Notably, CDC20, CDK1, CHEK1, KIF20A, MCM10, PBK, PTTG1, RACGAP, and TOP2A were crucial genes with a high degree in the protein-protein interaction network. Furthermore, potential miRNAs (miR-301, miR-302 family, and miR-130 family) were identified. In addition, small molecules like azathioprine and zoledronic acid were identified to be potential drugs for AAAD.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2019001100610	
Editor: 	Associação Brasileira de Divulgação Científica	
Relação: 	10.1590/1414-431x20198950	
Formato: 	text/html	
Fonte: 	Brazilian Journal of Medical and Biological Research  v.52 n.11 2019	
Fonte: 	info:eu-repo/semantics/openAccess