调控人骨桥蛋白的miRNA预测研究

目的 利用生物信息学方法预测调控人骨桥蛋白的微小RNA（miRNA），为进一步实验验证特定miRNA和人骨桥蛋白基因之间的关系提供依据。方法 分别应用miRGen Targets和miRanda数据库确定与人骨桥蛋白有密切关系的miRNA分子。结果 经miRGen Targets数据库预测出28个miRNA分子可能作用于人骨桥蛋白基因；miRanda数据库显示miR-539，miR-181，miR-340，miR-376c和miR-154 5个miRNAs在人骨桥蛋白的负调控过程可能发挥作用；将两个数据库结果交集后发现 miR-539，miR-181，miR-33b和miR-377 4个miRNA分子最有可能参与调控人骨桥蛋白。结论 利用生物信息学软件可对调控人骨桥蛋白的miRNA进行预测，为研究骨桥蛋白的功能和生物学特性提供新手段。

Study of the prediction of microRNA regulating human osteopontin

Objective To predict some microRNAs (miRNA) regulating human osteopontin (OPN) with bioinformatic softwares in order to provide a valid theoretical support for further experimental research on the relationship between specific miRNA and human OPN gene. Methods Integrated bioinformatic database including miRGen Target and miRanda were respectively applied to identify the number of miRNAs which closely related with human OPN. Results The miRGen Target database showed that 28 miRNAs might be involved in the degradation of OPN and miRanda database showed that 4 miRNAs might play an important role in the process of the negative regulation of OPN. The intersection of two database found that miR-539, miR-181, miR-33b and miR-377 were most likely involved in regulation of human OPN. Conclusion The prediction of miRNA regulating human OPN with bioinformatical Methods can provide a new strategy for the study of the property as well as function of OPN.