首页> 中文期刊> 《生物信息学》 >miRNAs芯片数据的聚类分析与羽扇豆醇抗癌途径预测

miRNAs芯片数据的聚类分析与羽扇豆醇抗癌途径预测

         

摘要

Lupeol is an extract from natural plants that has an effective and low - toxic anticancer function. It is of very high value to the drug exploitation. However, the mechanism of its anticancer function still remains unclear. We analyzed the differential expression of miRNA from hela cells which are pretreated with lupeol to investigate the anticancer molecular paths of lupeol. The method of TaqMan MicroRNA Assay was employed through our research. Datas are analyzed with the method of cluster analysis. Targetscan and RNAfold are performed to analyze the gene sequences. With the help of NCBI and Gene Ontology searching, we find the molecular paths of lupeol from hela cells to inhibit cancer,namely, a path that pivots with ERBB4 and involvs in has - miR -23b,has - miR -200b.%羽扇豆醇是一种植物天然提取物,具有高效低毒的抗癌活性,对于药物开发领域有很高价值.目前对其抗癌机制还不是十分明确.使用TaqMan MicroRNA Assay芯片技术,从羽扇豆醇处理的hela细胞中miRNA的差异表达入手,探索扇豆醇抗癌分子途径.运用聚类分析等统计学方法和targetscan,RNAfold等序列分析工具进行信号组分的预测筛选,再结合对NCBI,Gene Ontology等大型生物信息数据库的检索,最终在生物信息学层面上,分析得到hela细胞中羽扇豆醇抗癌的分子调控途径,即以受体酪氨酸激酶ERBB4介导的,hsa - miR -23b,hsa -miR - 200b等几种miRNA参与的分子通路.

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