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首页> 外文期刊>Oncology reports >Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments
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Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments

机译:通过生物信息学分析和体外实验鉴定结肠直肠癌肝脏转移中的关键基因和微小伤害

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摘要

Colorectal cancer (CRC) is one of the principal causes of cancer-associated mortality worldwide. The high incidence of liver metastasis is the leading risk factor of mortality in patients with CRC, and the mechanisms of CRC liver metastasis are poorly understood. In the present study, 7 datasets, including 3 gene expression profile datasets and 4 microRNA (miRNA) expression profile datasets were downloaded from the NCBI Gene Expression Omnibus (GEO) database to identify potential key genes and miRNAs, which may be candidate biomarkers for CRC liver metastasis. Differentially expressed (DE) genes (DEGs) and DE miRNAs of primary CRC tumor tissues and liver metastatic CRC tumor tissues were selected using the GEO2R tool. Gene Ontology and Kyoto Encyclopedia of Gene and Genome pathway enrichment analyses were conducted using the Database for Annotation, Visualization and Integrated Discovery online database. Furthermore, Cytoscape with cytoHubba and the Molecular Complex Detection (MCODE) plug-in were used to visualize a protein-protein interaction (PPI) network for these DEGs, and to screen hub genes and gene modules in the PPI network. In addition, the online databases, TargetScan, miRanda, PITA, miRWalk and miRDB, were used to identify the target genes of the DE miRNAs. In the present study, 141 DEGs (97 upregulated and 44 downregulated) and 3 DE miRNAs (2 upregulated and 1 downregulated) were screened from the 3 gene expression microarray datasets and 4 miRNA expression microarray datasets, respectively. In total, 10 hub genes with a high degree of connectivity were selected from the PPI network, including albumin (ALB), coagulation factor II (F2), thrombin, apolipoprotein H (APOH), serpin family C member 1 (SERPINC1), apolipoprotein A1 (APOA1), -1-microglobulin/bikunin precursor (AMBP), apolipoprotein C3 (APOC3), plasminogen (PLG), -2 HS glycoprotein (AHSG) and apolipoprotein B (APOB). The most important module was detected in the PPI network using the MCODE plug-in. A total of 20 DEGs were identified to be potential target genes of these DE miRNAs, and novel miRNA-DEGs regulatory axes were constructed. In vitro experiments were performed to demonstrate that miR-885 promoted CRC cell migration by, at least partially, decreasing the expression of von Willebrand factor (vWF) and insulin-like growth factor binding protein 5 (IGFBP5). In conclusion, by using integrated bioinformatics analysis and in vitro experiments, key candidate genes were identified and novel miRNA-mRNA regulatory axes in CRC liver metastasis were constructed, which may improve understanding of the molecular mechanisms underlying CRC liver metastasis.
机译:结肠直肠癌(CRC)是全世界癌症相关死亡率的主要原因之一。肝转移的高发病率是CRC患者死亡率的主要危险因素,CRC肝转移的机制尚不清楚。在本研究中,从NCBI基因表达OMNIBUS(GEO)数据库中下载了7个数据集,包括3个基因表达分布数据集和4 microRNA(miRNA)表达谱数据集以鉴定潜在的键基因和miRNA,其可能是CRC的候选生物标志物肝转移。使用GEO2R工具选择初级CRC肿瘤组织和肝转移CRC肿瘤组织的差异表达(DE)基因(DE)基因(DEGS)和DE MIRNA。使用数据库进行注释,可视化和集成发现在线数据库进行基因本体和基因组途径浓缩分析的基因本体和京都百科全书。此外,使用细胞凋亡和分子复数(MCODE)插入的细胞照片用于可视化这些DEG的蛋白质 - 蛋白质相互作用(PPI)网络,并在PPI网络中筛选枢轴基因和基因模块。此外,在线数据库,TargetScan,Miranda,pita,mirwalk和mirdb用于识别De MiRNA的靶基因。在本研究中,从3基因表达微阵列数据集和4 miRNA表达微阵列数据集中筛选141℃(下调和44个下调)和3DemiRNA(2上调和1个下调)。共有10个具有高连接程度的中心基因,选自PPI网络,包括白蛋白(ALB),凝血因子II(F2),凝血酶,载脂蛋白H(ApOH),唾液族家庭C成员1(Serpinc1),载脂蛋白A1(apoA1),-1-微球蛋白/ Bikunin前体(AMBP),载脂蛋白C3(APOC 3),纤溶酶原(PLG),-2HS糖蛋白(AHSG)和载脂蛋白B(APOB)。使用MCODE插件在PPI网络中检测到最重要的模块。共鉴定出20℃的潜在靶基因,并构建了新的miRNA-degs调节轴。进行体外实验以证明MIR-885至少部分地降低von Willebrand因子(VWF)和胰岛素样生长因子结合蛋白5(IGFBP5)的表达促进CRC细胞迁移。总之,通过使用集成的生物信息学分析和体外实验,鉴定了关键候选基因,构建了CRC肝转移中的新型miRNA-mRNA调节轴,这可能改善CRC肝转移的分子机制的理解。

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