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结直肠癌中miR-31的表达及预测靶基因的生物信息学分析[J]. 肿瘤防治研究, 2015, 42(10): 1005-1010. DOI: 10.3971/j.issn.1000-8578.2015.10.012
引用本文: 结直肠癌中miR-31的表达及预测靶基因的生物信息学分析[J]. 肿瘤防治研究, 2015, 42(10): 1005-1010. DOI: 10.3971/j.issn.1000-8578.2015.10.012
MicroRNA-31 Expression in Colorectal Cancer and Bioinformatic Analysis of Its Predicted Target Genes[J]. Cancer Research on Prevention and Treatment, 2015, 42(10): 1005-1010. DOI: 10.3971/j.issn.1000-8578.2015.10.012
Citation: MicroRNA-31 Expression in Colorectal Cancer and Bioinformatic Analysis of Its Predicted Target Genes[J]. Cancer Research on Prevention and Treatment, 2015, 42(10): 1005-1010. DOI: 10.3971/j.issn.1000-8578.2015.10.012

结直肠癌中miR-31的表达及预测靶基因的生物信息学分析

MicroRNA-31 Expression in Colorectal Cancer and Bioinformatic Analysis of Its Predicted Target Genes

  • 摘要: 目的 检测microRNA-31(miR-31)在结直肠癌中的表达及功能,预测其靶基因并进行生物信息学分析,为研究其作用和调控机制奠定基础。方法 采用实时荧光定量反转录聚合酶链反应(qRT-PCR)检测8种结肠癌细胞株、40例结直肠癌(colorectal cancer, CRC)患者癌组织及匹配的正常黏膜组织及33例结直肠腺瘤组织中miR-31的表达情况,并分析癌组织中miR-31表达与患者临床特征的关系。MTS法观察转染miR-31模拟物(mimics)组、抑制剂(inhibitor)组和对照组(miRControl)及空白细胞组细胞生长的差异,Western blot检测空白细胞组、miR-31 mimics和inhibitor三组细胞PCNA蛋白的表达。TargetScan、DIANA-microT、miRanda等软件预测miR-31的靶基因,并进行KEGG功能和信号通路富集分析。结果 miR-31在8种结肠癌细胞株中高表达,同时CRC患者癌组织中的表达高于腺瘤及正常黏膜组织(P<0.05)。其中癌组织和匹配的正常黏膜相比,miR-31表达明显上调(P=0.035),但腺瘤和正常黏膜相比,差异无统计学意义(t=0.122, P=0.904)。miR-31的表达与临床病理特征间未见明显关系(P均>0.05)。转染miR-31 mimics后,miR-31的表达明显上调且和miR-Control组及空白细胞组相比,miR-31 mimics组细胞生长加快;而转染miR-31 inhibitor组miR-31表达显著降低,细胞生长活力明显受抑制。同时转染miR-31 inhibitor组PCNA蛋白表达较miR-31 mimics组和空白细胞组显著降低。生物信息学分析miR-31靶基因功能集中于转录后及翻译水平的调节、细胞连接、迁移及细胞运动等生物学过程。信号通路主要富集于内吞作用、轴突导向、T细胞受体信号通路、Wnt及MAPK信号通路。结论 miR-31在结直肠癌中高表达,且miR-31可以促进细胞生长和增殖,其靶基因可能通过调节多种生物学过程发挥作用。

     

    Abstract: Objective To detect the expression and the function of microRNA-31(miR-31) in colorectal cancer(CRC) tissues, and to predict its target genes and conduct bioinformatic analysis, so as to investigate its role and the regulation mechanism. Methods miR-31 expression were examined in 8 CRC cell lines, 40 CRC tissues and their matched normal tissues, and 33 adenoma tissues by quantitative reverse transcription PCR(qRT-PCR). The relationship between miR-31 expression and clinicopathological information were analyzed. MTS method was used to detect the cell growth of HCT116 in different groups, including miRControl, miR-31 mimics, miR-31 inhibitor and the blank groups. Western blot was used to detect the expression of proliferation cell nuclear antigen(PCNA) in miR-31 mimic and miR-31 inhibitor groups. Target genes of miR-31 were predicted by the software including TargetScan, DIANA-microT, miRanda, et al, and further to analyze the information by KEGG, GO(gene ontology) and signaling pathway enrichment. Results The relative expression levels of miR-31 in 8 CRC cell lines and tumor tissues were much higher than those in adenoma and normal tissues(P<0.05), however, there was no significant difference between adenoma and the normal tissues(t=0.122, P=0.904). No correlation was found between miR-31 expression and the clinicopathological variables of CRC(all P>0.05). After transfection with miR-31 mimics, the expression level of miR-31 was remarkably up-regulated while down-regulated in miR-31 inhibitor group, compared with transfection with the miR-Control. Consequently, the cell grew faster in miR-31 mimics group, while the cell growth was inhibited in miR-31 inhibitor group, compared with the blank group and the miR-Control group(P<0.05). PCNA protein level in miR-31 inhibitor group was much lower than those in miR-31 mimics group and the blank group. The gene ontology analysis showed the function of predicted target genes of miR-31 concentrated on the regulation of post transcription and translation regulation, cell junction, migration and motility, etc.. And the KEGG pathway analysis showed the target genes mainly involved in endocytosis, axon guidence, T cell receptor signaling pathway, Wnt and MAPK signaling pathway. Conclusion The expression level of miR-31 is up-regulated in CRC tissues, and miR-31 could promote cell growth and proliferation. The predicted target genes of miR-31 provide some clues for CRC via regulating multiple biological processes.

     

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