摘要
目的:对胰腺癌细胞差异miRNAs表达谱进行生物信息学分析,以期从整体水平揭示microRNA在胰腺癌癌变和进展中的作用。方法:采用含有924条探针的microRNA微阵列检测胰腺癌Panc-1细胞,以3T3成纤维细胞为对照,筛选Panc-1细胞特异性microRNA表达谱;然后对上调和下调microRNA的靶基因进行Gene Ontology、Pathway和TFBS转录因子结合位点分析,以及构建microRNA和靶基因相互作用网络。结果:与3T3成纤维细胞的microRNA表达谱比较,筛选出9个Panc-1上调microR-NA,20个下调microRNA。TargetScan和mi-Randa软件预测出1 166个microRNA靶基因在Panc-1细胞中上调,212个靶基因下调。以上靶基因在DNA代谢、细胞间信号和胞质溶胶3种GO中富集显著;靶基因共涉及50条信号通路,其中富集度P<0.05的信号通路有6条;转录因子结合位点分析表明,CEBP-β、NF-κB和p53等对于上调以及下调的microRNA可能都有调节作用;microRNA和靶基因的相互作用网络分析表明,HIF-1A等基因连接度高。结论:利用生物信息学方法对胰腺癌细胞microRNA表达谱进行数据分析,可以为进一步了解胰腺癌的发病机制提供新的思路。
OBJECTIVE:To perform bioinformatic anlysis on microRNA profiling of pancreatic cancer cells in order to illustrate the role of microRNA in carcinogenesis and progression in pancreatic cancer. METHODS: The specific microRNA of pancreatic cancer Panc-1 was obtained by a microarray containing 924 probes with 3T3 fibroblast as a control. Then targeted genes of microRNAs were predicted and Gene Ontology, gene network, pathway and Transcription factor binding site (TFBS) analyses were performed. RESULTS: Nine microRNAs were up-regulated in Panc-I cells, and 20 microRNAs were down-regulated. 1 166 up-regulated micro-targeted genes and 212 down-regulated microRNA targeted genes were predicted by TargetScan and miRanda software. For Gene Ontology analysis, the genes involved in DNA metabolism, cell-cell signaling and cytosol were significant. The targeted enes were involved in 10 individual signal pathways, among which 6 had significance with enrichment P value less than 0.05. CEBP-β, NF-κB and p53 were most commonly identified in microRNA TFBS analyses. A panel of genes including HIF-1A bad the most connections with other genes in the constructed gene net-works. CONCLUSION: Bioinformatics provides a useful tool for mining micioRNA profiling of pancreatic cancer cells, and also provides new clues in the understanding of molecular mechanism in pancreatic cancer.
出处
《中华肿瘤防治杂志》
CAS
2011年第19期1522-1525,共4页
Chinese Journal of Cancer Prevention and Treatment
基金
山东省自然科学基金(ZR2010CM019)
山东省卫生科技发展计划(2007QW032)
山东省大型科学仪器设备升级改造技术研究项目(2010GJC20808-21)
关键词
胰腺肿瘤
微RNAS
基因表达谱
计算生物学
pancreatic neoplasms
microRNAs
gene expression profiling
computational biology