摘要
目的:基于芯片数据采用生物信息学方法,挖掘与宫颈上皮内瘤变(cervical intraepithelial neoplasia,CIN)进展相关的信号通路和潜在差异表达基因。方法:在GEO数据库中筛选CIN进展相关m RNA表达谱芯片数据,并通过生物信息学方法进行再次分析。结果:在GEO数据库获得GSE63514、GSE51993芯片数据,将共同差异表达基因信号通路富集获得Wnt、Endocytosis、Vibrio cholerae infection与CIN进展显著相关的3条信号通路,及调控这些信号通路的14个差异表达基因。通过生物学注释与文本挖掘,发现3个基因与CIN进展相关,另有9个基因与肿瘤的进展和复发相关。通过Gene Mania工具分析发现所有筛选的基因都与已知的CIN相关基因互作形成蛋白互作网络。其中CCND2和TGFBR2与多个已知基因存在直接互作。结论:通过对芯片数据再次分析,筛选出3条信号通路及14个差异表达基因与CIN进展相关。
Objective：To investigate the potential genes associated with cervical intraepithelial neoplasia （CIN） progression through mi-croarray expression profiling data analysis and bioinformatics approaches. Methods：mRNA expression microarray data related to CIN progression were screened from GEO database for the first time. They were re-analyzed by bioinformatics analysis. Results： Two mRNA expression microarray datasets were obtained from the GEO database. Pathway enrichment analysis of the common differen-tially expressed genes identified 3 signaling pathways associated with CIN progression, including Wnt, Endocytosis, and Vibrio cholerae infection. Fourteen differentially expressed genes were also identified. Biological annotation and text mining showed that 3 genes were directly related to CIN progression, and 9 other genes were associated with tumor progression and recurrence. GeneMania tool analysis demonstrated the protein interaction network formed between all the differentially expressed genes and the 24 reported genes. CCND2 and TGFBR2 formed direct interaction with many reported genes. Conclusion：Three signaling pathways and 14 differen-tially expressed genes were associated with CIN progression, as indicated by microarray data analysis results.
出处
《中国肿瘤临床》
CAS
CSCD
北大核心
2016年第19期840-844,共5页
Chinese Journal of Clinical Oncology
基金
国家卫生和计划生育委员会公益性行业科研专项项目(编号:201402010)
关键词
宫颈上皮内瘤变
进展
表达谱
基因芯片
生物信息学
cervical intraepithelial neoplasia
progress
expression profiling
microarray gene
bioinformatics
