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目的:应用基因表达谱芯片筛选研究人脑胶质母细胞瘤发生,发展中相关基因的表达及生物信息分析功能。方法:采用含13939条基因(设置173个对照点)的BioStarH140S型表达谱芯片;用改良的“一步法”抽提2例正常脑及6例胶质母细胞瘤组织总RNA,制备杂交探针;杂交芯片后用ScanArray4000扫描芯片荧光信号,提取正常脑及胶质母细胞瘤组织差异基因;对差异基因进行生物信息分析,初步分类及Northern杂交研究。结果:按照差异显著标准,在胶质母细胞瘤中共有198条(1.42％)基因表达差异显著,其中77条(0.55％)表达上调,121条(0.87％)表达下调,55条新基IN尚未在GenBank登录;生物信息分析发现肿瘤相关基因与细胞信号和传递蛋白、代谢、蛋白翻译合成、细胞骨架和运动、免疫、原癌基因和抑癌基因、细胞周期、细胞凋亡等9类基因密切相关;Northern杂交结果与表达谱芯片一致。结论:基因表达谱芯片可低成本、高通量、高效率筛选胶质瘤相关基因,并为基因群功能研究提供了方向;本研究结果有助于揭示胶质母细胞瘤分子机制,为指导肿瘤的临床诊断、治疗和预后判断提供依据。
OBJECTIVE: To screen gene expression microarray to study the gene expression and bioinformatics analysis of human glioblastoma. Methods: BioStarH140S expression profiling chip containing 13,939 genes (173 control points) was prepared. Total RNA was extracted from two normal brain tissues and six glioblastoma tissues using a modified one-step method to prepare hybridization Probe; ScanArray4000 hybridization chip chip fluorescence signal scanning, extraction of normal brain and glioblastoma tissue differential genes; differential gene bioinformatics analysis, preliminary classification and Northern hybridization studies. Results: According to the significant difference, a total of 198 genes (1.42%) were significantly different in glioblastoma, of which 77 (0.55%) were upregulated, 121 (0.87%) were downregulated, 55 new bases IN Not yet registered in GenBank; bioinformatics analysis found that tumor-related genes and cell signaling and transfer proteins, metabolism, protein translation and synthesis, cytoskeleton and motor, immune, proto-oncogene and tumor suppressor genes, cell cycle, apoptosis, Closely related; Northern hybridization results consistent with the expression profile of the chip. Conclusion: Gene expression microarrays can screen glioma related genes with low cost, high throughput and high efficiency, and provide a direction for the study of gene function. The results of this study are helpful to reveal the molecular mechanism of glioblastoma as a guide Tumor diagnosis, treatment and prognosis to provide the basis.