摘要
目的通过对预测得到的miR-155靶基因进行生物信息学分析,探索和比较DAVID(Database forAnnotation,Visualization and Integrated Discovery)及BiNGO(Biological Networks Gene Ontology tool)软件在基因本体(GO)及生物学通路富集分析中的应用,以期为miR-155靶基因的实验验证及生物学功能的研究提供理论指导。方法利用TargetScan 6.0预测得到的miR-155靶基因作为分析的基因集合,通过BiNGO及DAVID对这个靶基因集合进行GO富集分析和生物通路富集分析,并对两个软件的富集分析结果进行比较和分析。结果 miR-155的预测靶基因集合分别富集在转录调控活性、蛋白激酶活性等分子功能上和代谢调控、转录调控、高分子生物合成、基因表达调控及信号转导等生物学过程中(P<0.01);进一步分析显示该基因集合在KEGG代谢通路数据库中,显著富集于T细胞受体信号通路、B细胞受体信号通路、MAPK信号通路、ErbB信号通路等7个信号通路和结直肠癌、急慢性髓性白血病等7个疾病通路中(P<0.05)。结论 BiNGO和DAVID软件在miRNAs靶基因富集分析中各有优势,可以结合两个软件的分析结果对miRNAs靶基因集合进行生物学描述,为进一步的功能研究提供生物信息学指导。
Objective To explore and compare the DAVID（Database for Annotation, Visualiza- tion and Integrated Discovery） and BINGO software for bioinformatics analysis through the Gene Ontology and biological pathway enrichment analysis of targets of miR-155,in order to provide theoretical guidance for experimental validation of miR-155 target genes and biological functions. Methods TargetScan 6.0 algorithm was used to predict target genes of miR-155, and the result as gene set was analyzed by DAVID and BINGO software. The differences of enrichment analysis result between DAVID and BINGO were compared. Results The gene set was mostly enriched in transcriptional regulation activity protein kinase activity（GO molecular function, P〈0. 01） and metabolic regulation, transcriptional regulation, macromol- ecule biosynthesis, gene expression regulation,signal transduction（GO biological proeess,P〈0.01）. In KEGG pathway, the gene set indicated an enrichment in T cell receptor signaling pathway, B cell receptor signaling pathway, MAPK signaling pathways, ErbB signaling pathway, etc（signal transduction pathway, P〈0.05） and colorectal cancer, acute and chronic myeloid leukemia （human diseases pathway,P〈0.05）. Conclusion BINGO and DAVID have their own advantages, the combination of two software analysis of miRNAs target gene sets for biological description can provide bioinformatics basis for further functional studies.
出处
《福建医科大学学报》
2012年第6期408-414,共7页
Journal of Fujian Medical University
基金
国家自然科学基金(30771845
81172766)
