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肿瘤相关hsa-miR-95-3p的靶基因预测及生物信息学分析 被引量:3

Target Gene Prediction of Cancer Related Hsa-miR-95-3p and Its Bioinformatics Analysis
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摘要 [目的]对肿瘤相关hsa-miR-95-3p进行靶基因的预测及功能分析,为肿瘤发生的分子机制提供理论依据。[方法]选择miRanda、Target Scan、RNAhybrid 3种软件预测其靶基因,选择已经实验证实的靶基因作为进一步生物信息学分析的基因集合,对此基因集合进行功能富集分析(GO分析)、Pathway分析和蛋白互作分析。[结果]Hsa-miR-95-3p序列在各物种间高度保守。3个软件分别预测得到2118、1632和58个靶基因,鉴定得到实验验证的靶基因共114个,对这些靶基因进行GO和KEGG富集分析。这些靶基因主要富集于蛋白激酶反应、基因表达调控、细胞内信号传导、细胞分裂等生物学过程和功能上(P<0.05)。信号通路富集分析显示富集于AMPK信号通路,mTOR信号通路,p53信号通路,核黄素代谢,肝细胞癌,非小细胞肺癌,甲状腺癌,RNA降解等通路(P<0.05)。[结论]Hsa-miR-95-3p的靶基因主要与肿瘤细胞的增殖与分化即癌症发生的生物学过程相关,这为进一步实验研究提供了线索。 [Objective] To predict the target genes of cancer related hsa-miR-95-3p and to analyze the function of the target genes.[Methods] Mi Randa,Target Scan and RNAhybrid softwares were used to predict hsa-miR-95-3p's target genes,and the experimentally confirmed target genes were selected for further bioinformatics analysis,including GO(gene ontology) enrichment,KEGG pathway enrichment and protein interaction analysis.[Results] Hsa-miR-95-3p sequence were highly conserved in several species.2118,1632 and 58 target genes of hsa-miR-95-3p were predicted by miRanda,Target Scan and RNAhybrid softwares,respectively,and 114 target genes of hsa-miR-95-3p were experimentally verified.GO and KEGG pathway enrichment analysis showed that the 114 target genes were enriched in protein kinase activity,posttranscriptional regulation of gene expression,intracellular signal transduction,and mitotic cell cycle checkpoint(P〈0.05).The AMPK signaling pathway,m TOR signaling pathway,p53 signaling pathway,riboflavin metabolism,non-small lung cancer,thyroid cancer and RNA degradation were significantly enriched(P〈0.05).[Conclusion] The target genes of hsa-miR-95-3p are mainly related to proliferation and differentiation of tumor cells and other cancer related biological process,which may provide evidence for further experimental study.
机构地区 浙江省肿瘤医院
出处 《肿瘤学杂志》 CAS 2016年第5期374-379,共6页 Journal of Chinese Oncology
基金 浙江中医药管理局一般项目(2016ZB026)
关键词 hsa-miR-95-3p 肿瘤 生物信息学 靶基因 hsa-miR-95-3p neoplasms bioinformatics analysis target gene
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