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首页> 外文期刊>Oncology letters >Dysregulated genes targeted by microRNAs and metabolic pathways in bladder cancer revealed by bioinformatics methods
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Dysregulated genes targeted by microRNAs and metabolic pathways in bladder cancer revealed by bioinformatics methods

机译:通过MicroRNAS靶向的失调基因和生物信息学方法揭示的膀胱癌中的代谢途径

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摘要

The present study aimed to identify bladder cancer-associated microRNAs (miRNAs) and target genes, and further analyze the potential molecular mechanisms involved in bladder cancer. The mRNA and miRNA expression profiling dataset GSE40355 was downloaded from the Gene Expression Omnibus database. The Limma package in R was used to identify differential expression levels. The Human microRNA Disease Database was used to identify bladder cancer-associated miRNAs and Target prediction programs were used to screen for miRNA target genes. Enrichment analysis was performed to identify biological functions. The Database for Annotation, Visualization and Integration Discovery was used to perform OMIM_ DISEASE analysis, and then protein-protein interaction (PPI) analysis was performed to identify hubs with biological essentiality. ClusterONE plugins in cytoscape were used to screen modules and the InterPro database was used to perform protein domain enrichment analysis. A group of 573 disease dysregulated genes were identified in the present study. Enrichment analysis indicated that the muscle organ development and vascular smooth muscle contraction pathways were significantly enriched in terms of disease dysregulated genes. miRNAs targets (frizzled class receptor 8, EYA transcriptional coactivator and phosphatase 4, sacsin molecular chaperone, calcium voltage-gated channel auxiliary subunit beta 2, peptidase inhibitor 15 and catenin alpha 2) were mostly associated with bladder cancer. PPI analysis revealed that calmodulin 1 (CALM1), Jun proto-oncogene, AP-1 transcription factor subunit (JUN) and insulin like growth factor 1 (IGF1) were the important hub nodes. Additionally, protein domain enrichment analysis indicated that the serine/threonine protein kinase active site was enriched in module 1 extracted from the PPI network. Overall, the results suggested that the IGF signaling pathway and RAS/MEK/extracellular signal-regulated kinase transduction signaling may exert vital molecular mechanisms in bladder cancer, and that CALM1, JUN and IGF1 may be used as novel potential therapeutic targets.
机译:本研究旨在鉴定膀胱癌相关的微大稻草(miRNA)和靶基因,进一步分析膀胱癌中涉及的潜在分子机制。从基因表达式Omnibus数据库下载mRNA和miRNA表达分析数据集GSE40355。 R中的雷玛包用于识别差异表达水平。人体microRNA疾病数据库用于鉴定膀胱癌相关的miRNA,靶预测程序用于筛选miRNA靶基因。进行富集分析以确定生物学功能。用于注释,可视化和集成发现的数据库用于进行OMIM_疾病分析,然后进行蛋白质 - 蛋白质相互作用(PPI)分析以识别具有生物质的中心。 Cytoscape中的Clusterne插件用于筛选模块,并使用Interpro数据库来进行蛋白质型富集分析。在本研究中鉴定了一种573个疾病失调基因。富集分析表明,在疾病失调的基因方面,肌肉器官发展和血管平滑肌收缩途径显着富集。 MiRNA靶(Frizzled类受体8,Eya转录共膜剂和磷酸酶4,Sacsin分子伴侣,钙电压门控通道辅助亚基β2,肽酶抑制剂15和Catenin alpha 2)主要与膀胱癌相关。 PPI分析表明,钙调蛋白1(Calm1),Jun ProDo-oncogene,AP-1转录因子亚基(Jun)和胰岛素如生长因子1(IGF1)是重要的轮毂节点。另外,蛋白质结构域富集分析表明,丝氨酸/苏氨酸蛋白激酶活性位点在从PPI网络中提取的模块1中富集。总体而言,结果表明IGF信号通路和RAS / MEK /细胞外信号调节激酶转导信号可以在膀胱癌中施加重要的分子机制,并且CALL1,JUM和IGF1可用作新颖的潜在治疗目标。

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