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目的探讨荧光染料交换标记设计的基因芯片数据挖掘方法,并对低剂量电离辐射影响人成纤维细胞基因表达谱数据进行分析。方法应用GeneSifter在线软件和Panther生物学信息数据库,对下载于NCBI的GEO数据库的8个样品GSM(包含4个时间点),选择正确的参数设置上载数据,运用ANOVA方法进行数据挖掘,并对差异表达基因进行功能归类分析。结果获得203条差异表达基因,合并相同基因名后为176条基因。双向聚类和主成分分析发现,样品的24 h时间点基因表达谱与前3个时间点有显著差异,功能归类分析提示,多个生物通路如细胞周期、核酸代谢、DNA代谢等被显著激活。结论应用这种方法可以挖掘荧光交换标记的微阵列数据,低剂量电离辐射对人成纤维细胞基因表达有时间累积效应,可能引起DNA损伤、细胞周期阻滞等变化,诱导细胞凋亡。
Objective To explore the method of gene chip data mining for fluorescent dye exchange label design and to analyze the gene expression profile of human fibroblasts influenced by low dose ionizing radiation. Methods Using GeneSifter online software and Panther biology information database, 8 samples of GSM (including 4 time points) downloaded from NCBI’s GEO database were selected, the correct parameters were set for uploading data, ANOVA was used for data mining, and the differences Expression of genes for functional classification analysis. The results obtained 203 differentially expressed genes, combined with the same gene name after 176 genes. Biweekly clustering and principal component analysis showed that the gene expression profiling at 24 h was significantly different from that at the first three time points. Functional categorization analysis indicated that multiple biological pathways such as cell cycle, nucleic acid metabolism and DNA metabolism were significant activation. Conclusion This method can excite fluorescence-labeled microarray data. Low-dose ionizing radiation has a cumulative effect on the gene expression of human fibroblasts, which may cause DNA damage, cell cycle arrest and other changes, and induce apoptosis.