利用基因芯片研究与胶质母细胞瘤侵袭性相关的基因

目的探讨利用基因表达谱芯片筛选人脑胶质母细胞瘤与侵袭性相关基因的表达及功能。方法用含13 939种人类基因的BioStarH140S型芯片,以成人脑及6例胶质母细胞瘤组织总RNA制备的探针杂交芯片;ScanArray4 000扫描芯片荧光信号,提取脑及胶质母细胞瘤组织差异基因,并进行生物信息分析及功能研究。结果表达谱芯片筛选出胶质母细胞瘤差异基因198条(1.42％),与细胞信号和传递蛋白、细胞骨架、代谢、蛋白翻译合成、细胞周期蛋白类、癌基因和抑癌基因等多类基因密切相关;与侵袭性相关的8条细胞骨架和细胞外基质基因表达谱相似,均在胶质母细胞瘤中显著上调,生物信息分析为α-连环素基因、钙粘附素1基因、层粘连蛋白、纤连蛋白1基因、基质金属蛋白酶2、Ⅲ型胶原基因、组织金属蛋白酶抑制1基因和血小板衍生生长因子受体A基因。结论表达谱芯片是高通量筛选胶质瘤相关基因的生物高新技术,侵袭性相关基因为判断胶质母细胞瘤患者的预后提供了分子生物学指标,有助于临床诊治。

Analysis on genes correlating with invasion in glioblastoma by using cDNA microarray

Objective To study the expression and function of genes correlating with invasion in glioblastoma by using cDNA microarray. Methods BioStarH140S microarray containing 8 347 old genes and 5 592 novel genes were adopted and hybridized with probes which were prepared for total RNA. These probes were isolated from 6 cases of glioblastoma tissues and normal adult brain tissues. Differentially expressed genes between normal brain tissues and glioblastoma tissues were analyzed after scanning microarray with ScanArray4 000. These related genes were studied with bioinformatical analysis. Results Among the 13 939 target genes, 198 genes (1.42 %) were differentially expressed. Bioinformatical analysis revealed that these genes were closely associated with cell signal transduction, cell metabolize, cytoskeleton, motility, immunity, oncogene and tumor suppressor, cell cycle and cell apoptosis. There were 8 cytoskeleton and matrix motility genes which expressed similarly, such as a-Catenin, CDH1, LAMA4, FN1, MMP2, COL3A1, TIMP1 and PDGFRA.Conclusion cDNA microarray technology is effective in screening differentially expressed genes. Invasive genes would supply molecular target which can estimate prognosis of glioblastoma and be helpful to clinical therapy.