首页> 外文期刊>BMC Cancer >Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA-mRNA pairs in cisplatin-resistant ovarian cancer
【24h】

Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA-mRNA pairs in cisplatin-resistant ovarian cancer

机译:mRNA和miRNA微阵列的生物信息学分析,以鉴定顺铂抗性卵巢癌中的关键miRNA-mRNA对

获取原文
           

摘要

Ovarian cancer (OC) is a gynecological malignancy with the highest mortality rate. Cisplatin (DDP) based chemotherapy is a standard strategy for ovarian cancer. Despite good response rates for initial chemotherapy, almost 80% of the patients treated with DDP based chemotherapy will experience recurrence due to drug-resistant, which will ultimately result in fatality. The aim of the present study was to examine the pathogenesis and potential molecular markers of cisplatin-resistant OC by studying the differential expression of mRNAs and miRNAs between cisplatin resistant OC cell lines and normal cell lines. Two mRNA datasets (GSE58470 and GSE45553) and two miRNA sequence datasets (GSE58469 and GSE148251) were downloaded from the Gene expression omnibus (GEO) database. Differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were screened by the NetworkAnalyst. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were conducted to analyze the biological functions of DEGs. The protein-protein interaction network was constructed using STRING and Cytoscape software to identify the molecular mechanisms of key signaling pathways and cellular activities. FunRich and MiRNATip databases were used to identify the target genes of the DEMs. A total of 380 DEGs, and 5 DEMs were identified. Protein–protein interaction (PPI) network of DEGs containing 379 nodes and 1049 edges was constructed, and 4 key modules and 24 hub genes related to cisplatin-resistant OC were screened. Two hundred ninety-nine target genes of the 5 DEMs were found out. Subsequently, one of these 299 target genes (UBB) belonging to the hub genes of GSE58470 and GSE45553 was identified by MCODE and CytoHubba,which was regulated by one miRNA (mir-454). One miRNA–mRNA regulatory pairs (mir-454-UBB) was established. Taken together, our study provided evidence concerning the alteration genes involved in cisplatin-resistant OC, which will help to unravel the mechanisms underlying drug resistant.
机译:卵巢癌(OC)是一种最高死亡率的妇科恶性肿瘤。基于顺铂(DDP)的化疗是卵巢癌的标准策略。尽管初始化疗的良好反应率,但近80%的患者患有DDP的化疗治疗的患者将因耐药而经历复发,最终会导致死亡。本研究的目的是通过研究顺铂抗性OC细胞系和正常细胞系之间MRNA和MIRNA的差异表达来检查顺铂抗性OC的发病机制和潜在分子标记。从基因表达omnibus(Geo)数据库中下载了两个mRNA数据集(GSE58470和GSE4553)和两个MiRNA序列数据集(GSE58469和GSE148251)。差异表达的基因(DEGS)和差异表达的miRNA(DEMS)被网络分析筛选。进行基因本体(GO)分析和基因组的京都百科全书(KEGG)途径分析,分析了DEGS的生物学功能。蛋白质 - 蛋白质相互作用网络是使用字符串和细胞形态软件构建的,以鉴定关键信号传导途径和细胞活性的分子机制。 Funrich和Mirnatip数据库用于识别DEM的目标基因。共鉴定了380次,5月5日。构建含有379个节点和1049个边缘的蛋白质 - 蛋白质相互作用(PPI)含量的乙烯和1049个边缘,筛选与顺铂抗性OC相关的4个关键模块和24个枢纽基因。发现了5个DEM的两百九十九个靶基因。随后,通过MCODE和细胞霍布鉴定属于GSE58470和GSE4553的轮毂基因的这些299个靶基因(UBB)中的一种,其由一个miRNA(miR-454)调节。建立一个miRNA-mRNA调节对(miR-454-UBB)。我们的研究携带,我们的研究提供了有关参与顺铂抗性OC的改变基因的证据,这将有助于解开耐药性的机制。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号