影响口腔癌发生潜在MicroRNAs的生物信息学分析

A Bioinformatics Analysis of Potential MicroRNAs Affecting Oral Cancer Development

  • 摘要: 为获得口腔癌组织和正常组织之间差异表达的miRNAs,从分子水平研究相关的miRNAs在肿瘤发生发展中的作用,从GEO数据库筛选并下载口腔癌及正常组织的基因芯片,运用GEO2R工具分析筛选口腔癌与正常组织间的差异表达miRNAs. 采用FunRich软件对将所得差异miRNAs进行GO功能注释、KEGG信号通路分析. 通过对GSE124566和GSE113956两个芯片数据进行分析,分别筛选得到109、1 079个差异表达miRNAs,分别包括41、673个上调基因和68、406个下调基因,筛选得到共同差异表达miRNAs有30个,其中上调16个,参与的生物过程主要有细胞间通讯等,细胞成分主要有细胞核等,分子功能主要有转录因子活性等;下调14个,参与的生物过程主要有信号转导等,细胞成分主要有细胞质等,分子功能主要有转录因子活性等. 通过对口腔癌芯片数据的生物信息学分析,发现30个差异表达miRNAs是口腔癌发生、发展的重要miRNAs,囊泡介导的转运,核苷酸的代谢等过程. 最后预测出了13 796个靶基因,并通过PPI互作分析筛选出了联系最紧密的10个靶基因.

     

    Abstract: In order to obtain miRNAs expressed differently between oral cancer tissues and normal tissues, the role of miRNAs in tumor development was studied on the molecular level. Gene chips of oral cancer and normal tissues were screened and downloaded from the geo database. The differential expression of miRNAs between oral cancer and normal tissues was analyzed using GEO2R. The function annotation and KEGG signal path analysis of miRNAs are analyzed with the FunRich software. By analyzing the data of GSE124566 and GSE113956, 109 and 1 079 differential miRNAs were screened, including 41, 673 up-regulated genes and 68 and 406 down-regulated genes respectively. 30 miRNAs were screened. The 16 up-regulaed genes were involved in the biological process of intercellular communication, the cell components include nucleus and the molecular function mainly includes transcription factor activity. The 14 down-regulated genes were involved in the biological process of signal transduction, the cell components include cytoplasm, and the molecular function is transcription factor activity. Through the bioinformatic analysis of the oral cancer microarray data, it is found that 30 differentially expressed miRNAs are important miRNAs in the occurrence and development of oral cancer, including vesicle mediated transport and nucleotide metabolism. 13 796 target genes were predicted, and 10 target genes were screened with the PPI interaction analysis.

     

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