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目的 该实验利用基因芯片技术研究缺氧 /复氧处理后鼠脑星形胶质细胞基因表达谱的变化 ,以深入认识星形胶质细胞在缺氧 /复氧处理后基因表达变化规律 ,为进一步全面认识神经胶质细胞在缺氧和缺血再灌注等情况下基因变化规律以及神经胶质细胞与神经元在损伤条件下相互依存关系提供实验依据和理论基础。方法 取人鼠脑星形胶质细胞作传代培养 ,传至第四代分组作缺氧 /复氧处理 ;用TRIzol试剂经过多个步骤提取制备好的星形胶质细胞样本总RNA ;利用基因芯片技术获取缺氧 /复氧处理后鼠脑星形胶质细胞的基因表达谱 ;利用GeneOntologyConsortium分析系统、OeneCards数据库和Pubmed检索系统对基因表达谱进行初步分析。结果 ①基因表达谱 :在基因芯片测定了 4 0 96个点 ,共有差异表达基因 187个 ,其中 ,差异表达基因 187个 ,己知差异表达基因 4 6个 ,未知差异表达基因 14 1个 (EST片段 )。②已知差异表达基因 :在 4 6个已知差异表达基因中 ,表达下调的基因有 4 1个 ,表达上调的基因有 5个 ,未见报道的与缺氧 /复氧处理相关基因 2 3个 ,己报道的有 18个。③已知差异表达基因功能聚类 :共 10类 ,其中代谢 2 3个、信号传导 9个、细胞生长 3个、结构蛋白 2个、免疫应答 4个、运输 1个、细胞周期 1个、细胞增殖 1个
Objective To study the gene expression profiles of murine astrocytes after hypoxia / reoxygenation treatment using gene chip technology to understand the gene expression changes of astrocytes under hypoxia / reoxygenation treatment To further understand the changes of glial cells under the conditions of hypoxia and ischemia-reperfusion, as well as the relationship between glial cells and neurons under the conditions of injury to provide experimental evidence and theoretical basis. Methods Rat brain astrocytes were passaged and passaged to the fourth generation for hypoxia / reoxygenation treatment. Total RNA was extracted from astrocytes using TRIzol reagent in multiple steps. ChIP was used to obtain the gene expression profile of murine astrocytes after hypoxia / reoxygenation treatment. The gene expression profile was analyzed by GeneOntologyConsortium analysis system, OeneCards database and Pubmed search system. Results (1) Gene expression profile: A total of 187 differentially expressed genes were detected in the gene chip, including 187 differentially expressed genes, 46 known differentially expressed genes, 14 1 unknown differentially expressed genes (EST Fragment). ② Known differentially expressed genes: 41 genes were down-regulated in 4 out of 46 known differentially expressed genes and 5 genes were up-regulated in expression. There were no reported genes associated with hypoxia / reoxygenation One, 18 have been reported. (3) Known differentially expressed genes function clustering: a total of 10 categories, including metabolism of 23, signal transduction 9, cell growth 3, 2 structural proteins, immune response 4, transport 1, cell cycle 1, cells Proliferation 1