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汉防己甲素作用胃癌细胞系HGC-27后差异表达miRNAs筛选及生物信息学分析 被引量:2

Screening and bioinformatics analysis of differentially expressed miRNAs in HGC-27 gastric cancer cells treated by tetrandrine
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摘要 目的筛选汉防己甲素(Tet)处理胃癌细胞系HGC-27后差异表达的微小RNA(miRNAs),并进行生物信息学分析。方法应用高通量测序技术对HGC-27细胞和Tet处理后的HGC-27细胞进行miRNAs差异表达谱分析;结合文献报道确定4个与肿瘤相关的miRNAs,对其进行靶基因预测及信号转导通路的分析。结果经Tet处理后,miR-7641和miR-149-3p的表达水平明显上调,miR-500a-5p和miR-122-5p的表达水平明显下调;生物信息学方法分析结果显示miR-7641、miR-149-3p、miR-500a-5p、miR-122-5p及其靶基因参与细胞迁移、细胞周期和凋亡等通路。结论 Tet可能通过调控miR-7641、miR-149-3p、miR-500a-5p、miR-122-5p的表达参与胃癌的发生发展。 Objective To screen differentially expressed microRNAs(miRNAs) in HGC-27 gastric cancer cells treated by tetrandrine(Tet) and perform bioinformatics analysis. Methods High-throughput sequencing technology was used to analyze the differential expression profiles of miRNAs in HGC-27 cells and Tet-treated HGC-27 cells. Four tumor-associated miRNAs had been identified, and the target genes were predicted and their signal transduction pathways were analyzed. Results After Tet treatment, the expression levels of miR-7641 and miR-149-3 p were significantly up-regulated,and the expression levels of miR-500 a-5 p and miR-122-5 p were down-regulated. Bioinformatics analysis showed that the target genes of miR-7641,miR-149-3 p, miR-500 a-5 p and miR-122-5 p were involved in cell migration, cell cycle, and apoptosis pathways. Conclusion Tet may participate in the development of gastric cancer by mediating the expression levels of miR-7641,miR-149-3 p,miR-500 a-5 p and miR-122-5 p.
作者 张娜 杨艳红 陈娟 黎昆东 陈雪艳 张巨峰 ZHANG Na;YANG Yanhong;CHEN Juan;LI Kundong;CHEN Xueyan;ZHANG Jufeng(School of Biosciences and Biopharmaceutics Guangdong Pharmaceutical University Guangzhou 510006 China;The First Affiliated Hospital School of Clinical Medicine Guangdong Pharmaceutical University Guangzhou 510080 China)
出处 《广东药科大学学报》 CAS 2018年第4期468-473,共6页 Journal of Guangdong Pharmaceutical University
基金 广东省科技计划项目(2014A020212303) 广东省中医药局科研项目(20182079)
关键词 胃癌 汉防己甲素 微小RNA 高通量测序 生物信息学 gastric cancer tetrandrine microRNA high-throughput sequencing bioinformatics
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