调控小鼠脂联素及其受体的miRNA预测研究

he purpose of this study was to use bioinformatic softwares to predict some miRNAs which regulated mouse adiponectin and its receptors, then sought the potential miRNA, in order to provide a valid theoretical support for further experimental research on the relationship between specific miRNA and the related mouse adiponectin, adiponectin receptors gene. Integrated bioinformatic database miRGen Targets, TargetScanS, PicTar and miRanda were respectively applied from different aspetcs to identify a number of miRNAs which closely related with mouse adiponectin and its receptors. The results showed that a variety of miRNAs, such as mmu-let-7 family might play an important role in the process of the negative regulation of adiponectin and its receptors. The prediction of miRNA regulated mouse adiponectin and its receptors with bioinformatical methods could provide a new strategy for the study on the property as well as function of adiponectin and its receptors.