哮喘相关的miR-201-3p靶基因的预测及生物信息学分析

Prediction and bioinformatics analysis of the targets of miR-201-3p related to asthma

目的:预测并分析miR-201-3p的靶基因。方法:利用miRanda、miRDB、miRWalk和Targetscan等4个数据库在线预测miR-201-3p的靶基因,对获得的靶基因用Cytoscape软件中的Bi NGO插件进行Gene Ontology(GO)分类及KEGG数据库的信号转导通路富集分析。结果:共预测获得1082个靶基因。经GO分析这些靶基因后,共得到涉及245条生物学进程,主要包括细胞进程、生物学调节和生物学进程调节等;分子功能包括蛋白质异源二聚体活化和I-SMAD蛋白结合等。KEGG富集分析发现这些靶基因主要参与MAPK信号通路、T细胞受体信号通路、Wnt信号通路、趋化因子信号通路等与炎症有关的信号通路。结论:成功预测了miR-201-3p的靶基因,部分靶基因可能参与了哮喘气道炎症和气道重塑。

Objective： To predict and analyze the molecular targets of miR-201-3p. Methods： Target gene miR-201-3p was predicted through the online databases of miRanda,miRDB,miRWalk and Targetscan. Then the predicted targets were further analyzed by Bi NGO plugin for Gene Ontology（ GO） and database of KEGG for signal transduction pathway enrichment. Results： Totally,1082 target genes were obtained. GO analysis demonstrated that these targets were involved in 245 biological processes,primarily including cellular process,biological regulation,regulation of biological process and otherwise. The molecular function mainly comprised protein heterodimerization activity and I-SMAD binding,and enrichment analysis by KEGG database indicated that these target genes were functionally involved in signal pathways in MAPK,T cell receptor,Wnt and chemokine as well as inflammation. Conclusion： We successfully predicted the target genes of miR-201-3p,some of which may be involved in airway inflammation and remodeling during asthma attack.