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目的 探讨胶质瘤诱导分化的分子调控机制 ,寻找与分化过程密切相关的关键基因。方法 苯丁酸钠诱导SHG 4 4 9胶质瘤细胞株 ,诱导前和诱导 2h、6d后作cDNA微阵列建立基因表达谱 ,然后利用生物信息学工具对表达谱数据做系统的聚类分析和生物信息库检索。结果 对差异 2倍以上的 115个基因作聚类分析 ,得到 6大类不同表达模式的基因类别。进一步生物信息学分析表明 ,其中有 11条基因的功能信息与诱导分化关系密切 ,可能是这一过程的关键基因。结论 生物信息学是分析基因表达谱的有力工具 ,可以很好的从表达谱数据提取出与诱导分化相关的关键基因 ,可供进一步研究。
Objective To investigate the molecular regulation mechanism of glioma differentiation and differentiation and to find out the key genes closely related to the differentiation process. Methods SHG449 glioma cell lines were induced by sodium phenylbutyrate. CDNA microarray was used to establish gene expression profiles before and 2h and 6d after induced by sodium phenylbutyrate. Then, the bioinformatics tools were used to do the cluster analysis and Bioinformatics database search. Results A total of 115 genes with more than 2-fold difference were clustered to obtain 6 categories of genes with different expression patterns. Further bioinformatics analysis showed that the functional information of 11 genes is closely related to the induction of differentiation and may be the key gene in this process. Conclusions Bioinformatics is a powerful tool for analyzing gene expression profile, which can be used to extract key genes related to differentiation from expression profile data for further study.