[Prediction of microRNA-296-5p target genes and its application in lung development].

ABSTRACT

OBJECTIVE: To predict the target genes of rno-microRNA-296-5p (miR-296) using bioinformatics software and databases, and to provide a theoretical basis for further studies of biological effects of miR-296 in fetal lung development. METHODS: PubMed and Google were used to search for all reported literature on miR-296. The miRBase database was used to determine the sequence and evolutionary conservatism of miR-296. The TargetScans database was used to predict the target genes of miR-296. The DAVID Bioinformatics Resources 6.8 database was used for the functional enrichment analysis of the target genes. The KEGG database was used to analyze the signaling pathways of target genes. RESULTS: miR-296 was reported to play important roles in many biological processes and have a high degree of sequence conservation among species. The target genes of miR-296 were involved in biological processes, cell components, and molecular function. Those target genes were significantly enriched in the mitogen-activated protein kinase signaling pathway, Wnt signaling pathway, and transforming growth factor-ß signaling pathway (p<0.05). CONCLUSIONS: The bioinformatics analysis of the target genes of miR-296 provides a basis for studying biological effects and mechanism of action of miR-296 in lung development.