调控人脂联素AdipoQ的miRNA预测研究

he purpose of this study was to use bioinformatic softwares to predict some miRNAs which regulated human adiponectin AdipoQ and 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 human adiponectin protein gene. Integrated bioinformatic database miRGen Target and miRanda were respectively applied from different aspetcs to identify a number of miRNAs which closely related with human adiponectin. The results showed that hsa-miR-199a might be involved in the process of transcription or differentiation of adipose cells by miRGen Target database; miRanda database showed that hsa-miR-653, hsa-miR-330-5p and hsa-miR-326 might play an important role in the process of the negative regulation of adiponectin. The prediction of miRNA regulated human adiponectin with bioinformatical methods could provide a new strategy for the study on the property as well as function of adiponectin.