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Investigation of key miRNAs and target genes in bladder cancer using miRNA profiling and bioinformatic tools

机译:使用miRNA分析和生物信息学工具研究膀胱癌关键miRNA和靶基因

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Despite the association of several miRNAs with bladder cancer, little is known about the miRNAs' regulatory networks. In this study, we aimed to construct potential networks of bladder-cancer-related miRNAs and their known target genes using miRNA expression profiling and bioinformatics tools and to investigate potential key molecules that might play roles in bladder cancer regulatory networks. Global miRNA expression profiles were obtained using microarray followed by RT-qPCR validation using two randomly selected miRNAs. Known targets of deregulated miRNAs were utilized using DIANA-TarBase database v6.0. The incorporation of deregulated miRNAs and target genes into KEGG pathways were utilized using DIANA-mirPath software. To construct potential miRNA regulatory networks, the overlapping parts of three selected KEGG pathways were visualized by Cytoscape software. We finally gained 19 deregulated miRNAs, including 5 ups-and 14 down regulated in 27 bladder-cancer tissue samples and 8 normal urothelial tissue samples. The enrichment results of deregulated miRNAs and known target genes showed that most pathways were related to cancer or cell signaling pathways. We determined the hub CDK6, BCL2, E2F3, PTEN, MYC, RB, and ERBB3 target genes and hub hsa-let-7c, hsa-miR-195-5p, hsa-miR-141-3p, hsa-miR-26a-5p, hsa-miR-23b-3p, and hsa-miR-125b-5p miRNAs of the constructed networks. These findings provide new insights into the bladder cancer regulatory networks and give us a hypothesis that hsa-let-7c, hsa-miR-195-5p, and hsa-miR-125b-5p, along with CDK4 and CDK6 genes might exist in the same bladder cancer pathway. Particularly, hub miRNAs and genes might be potential biomarkers for bladder cancer clinics.
机译:尽管有几种miRNA与膀胱癌相关,但对miRNA的调控网络知之甚少。在这项研究中,我们旨在使用miRNA表达谱和生物信息学工具构建与膀胱癌相关的miRNA及其已知靶基因的潜在网络,并研究可能在膀胱癌调控网络中发挥作用的潜在关键分子。使用微阵列获得总体miRNA表达谱,然后使用两个随机选择的miRNA进行RT-qPCR验证。使用DIANA-TarBase数据库v6.0利用了已知的失控miRNA靶标。使用DIANA-mirPath软件将失调的miRNA和靶基因掺入KEGG途径。为了构建潜在的miRNA调控网络,通过Cytoscape软件可视化了三个选定的KEGG途径的重叠部分。我们最终在27个膀胱癌组织样本和8个正常尿路上皮组织样本中获得了19个失调的miRNA,包括5个上调的和14个下调的。失调的miRNA和已知靶基因的富集结果表明,大多数途径与癌症或细胞信号传导途径有关。我们确定了中枢CDK6,BCL2,E2F3,PTEN,MYC,RB和ERBB3靶基因以及中枢hsa-let-7c,hsa-miR-195-5p,hsa-miR-141-3p,hsa-miR-26a-构建的网络的5p,hsa-miR-23b-3p和hsa-miR-125b-5p miRNA。这些发现为膀胱癌调节网络提供了新的见解,并为我们提供了一个假设,即hsa-let-7c,hsa-miR-195-5p和hsa-miR-125b-5p以及CDK4和CDK6基因可能存在于膀胱癌中。相同的膀胱癌途径。特别是,枢纽miRNA和基因可能是膀胱癌诊所的潜在生物标记。

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