优选Atlas微阵列检测胶质瘤基因表达谱的分析方法

从Atlas微阵列多种分析法中优选获得差异基因信息量大且较准确的方法。使用Atlas微阵列检测2例新鲜胶质母细胞瘤组织、获得相应的基因表达谱,选取不同的标准化基值及内参照共组合成8种不同方法,比较2例肿瘤组织的差异表达基因,并随机抽取部分基因行RT-PCR验证,由不同分析法得到的结果不同,以一种看家基因为标准化基值,且以所有基因表达值的中位数为内参照比较时得到的信息最多,且经RT-PCR证实可靠。证明以看家基因为标准化基值、并以所有差异基因表达值的中位数为内参照,可能是分析Atlas微阵列检测结果的较优方法

Optimizing the Aanalysis Methods of Atlas Array to Detect the Gene Expression Profiles of Gliomas

To optimize the analyzing method from the Atlas array, through which the gene information acquired may be richer and more accurate. The gene expression profiles of 2 samples of fiesh glioblastomas were obtained by the Atlas array. 8 different analyzing methods were applied to detect the differential expressing genes between these 2 tumors, which were obtained by combining the different normalized standard and internal references. RT-PCR was performed to verify some genes randomly selected from the results. The analyzing results were different due to the different methods used When one of the housekeeping genes was choosed to normalize the gene data and the medium of the global genes was used as the internal reference, the gene information was richest and compliant with the RTPCR result, so the optimized method for analyzing the Atlas array result may be taking one of the housekeeping genes as the normalized standard with the medium of the global genes as the internal reference