Jiang Rong-cai, Pu Pei-yu, Xu Jie, Yu Shi-zhu, Jiao Bao-hua, Guo Zheng, Li Xia, Kang Chun-sheng
Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin 300052, P. R. China.
Ai Zheng. 2002 Oct;21(10):1085-9.
BACKGROUND & OBJECTIVE: There is great signification to classify the molecular pathogenesis of gliomas. Gene chip is able to profile the gene expression of tumors, which may become a new method for studying molecular pathology of tumors. The cDNA was used in order to detect the differences in gene expression profiles of different types of gliomas.
cDNA probes tagged with 32P were converted from total RNA extracted from 4 samples of 3 different pathological types, including oligodendrogliomas, anaplastic astrocytomas and ependymomas, and one sample of normal human brain tissue as well, which were then hybridized to the Atlas array. After autoradiography, the gene expression profiles were analyzed with the special software and by the cluster analysis.
As compared to the normal brain tissue, the number of differential expressed genes in these tumor samples ranging from 11 to 118 was found. These 4 samples could be divided into 3 kinds of types when 107 differential expressed genes were selected to be as the cluster analysis index. This result was in accordance with the neuropathological diagnosis.
cDNA array is able to profile gene expression in different types of gliomas. Combined with the bioinformational method, we may further obtain useful information about molecular pathology of gliomas.
对胶质瘤的分子发病机制进行分类具有重要意义。基因芯片能够描绘肿瘤的基因表达情况，这可能成为研究肿瘤分子病理学的一种新方法。本研究采用cDNA来检测不同类型胶质瘤基因表达谱的差异。
从3种不同病理类型的4个样本（包括少突胶质细胞瘤、间变性星形细胞瘤和室管膜瘤）以及1个正常脑组织样本中提取总RNA，将其转化为用32P标记的cDNA探针，然后与Atlas基因芯片进行杂交。放射自显影后，用专用软件并通过聚类分析对基因表达谱进行分析。
与正常脑组织相比，发现这些肿瘤样本中差异表达基因的数量在11至118个之间。当选择107个差异表达基因作为聚类分析指标时，这4个样本可分为3种类型。该结果与神经病理学诊断一致。
cDNA芯片能够描绘不同类型胶质瘤中的基因表达情况。结合生物信息学方法，我们可能进一步获得有关胶质瘤分子病理学的有用信息。
