脑胶质瘤差异表达基因的微矩阵研究

Study on the differential gene expression profile of glioblastoma with microarrays

目的 用生物芯片筛选胶质母细胞瘤相关基因。方法 采用一种由包括胶质瘤cDNA文库构建的14 000个基因片段的生物芯片来杂交筛选胶质母细胞瘤的基因并分析其表达谱的变化。结果 经过杂交筛选并与正常脑组织比较，94个基因差异表达超过3倍，298个基因片段超过2倍。一些胶质瘤中上调基因在正常脑组织中几乎没有表达。几个与胶质瘤发生发展相关的新基因被证实。结论 生物芯片结合相关的cDNA文库对大规模快速筛选胶质瘤及其他肿瘤的治疗靶基因具有实际意义。

Objective This study aims to screen the differentially expressed genes of glioblastoma using microarray technology. Methods Specimens of glioblastoma and normal brain tissue were obtained from pathologically confirmed patients. A cDNA microarray comprising 14 000 clones covering the whole sets of the retro-transcriptional products of the mRNAs of various gliomas and those of normal brain tissues was established, with which the differences in gene expression between gliobla- stoma and normal brain tissues were investigated. Results It was found that 94 genes were more than 3-fold differentially expressed with 298 more than doubled in the glioblastoma in comparison with the normal brain tissue. Some genes over-expressed in the glioblastoma were scarcely expressed in normal brain tissues, and several novel genes that may have biological relevance in the process of glioma genesis were identified. Conclusion Microarray technique combined with relevant cDNA repository can facilitate large-scale rapid identification of potential target genes for diagnosis and therapy of glioma.