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目的探讨垂体腺瘤组织和瘤周正常垂体组织中基因表达特点及差异。方法采用基因表达系列分析方法(serialanalysisofgeneexpression,SAGE)分别构建垂体腺瘤组织和瘤周正常垂体组织的SAGE文库,在两个SAGE库中各挑取40个阳性克隆测序,用SAGE2000软件对序列文件进行分析并与美国国立卫生研究院的SAGEmap进行数据比较,从而了解不同组织基因表达情况。结果在瘤周正常垂体组织的40个序列文件中提取到655个基因标签,可确认代表43个不同的基因;垂体腺瘤组织的40个序列文件中提取到737个基因标签,可确认代表53个不同的基因,这些基因标签中有13个是以往未报道的新的基因标签。瘤周正常垂体组织和垂体腺瘤组织中与垂体激素分泌及能量代谢有关的一些基因表达水平较高。两种组织中均有生长因子和细胞因子的表达,其中包括与免疫系统有关的细胞因子。但是,瘤周正常垂体组织和垂体腺瘤组织基因表达又存在明显差异,分别有31个和5个基因标签仅在特定组织中检测到。结论瘤周正常垂体组织和垂体腺瘤组织中都存在与垂体激素分泌及能量代谢有关的一些基因的高表达以及生长因子和细胞因子的表达,同时两种组织基因表达又存在明显差异。用SAGE方法既能较完整地获得基因表达丰度的量化信息,又可以发现新基因。
Objective To investigate the gene expression characteristics and differences in pituitary adenoma tissue and normal peritumoral pituitary tissue. Methods The SAGE library of pituitary adenomas and peritumoral normal pituitary tissues was constructed by serialanalysisofgeneexpression (SAGE). Forty positive clones were selected from each of the two SAGE libraries and sequenced using SAGE2000 software Analyze and compare data with SAGEmap of the National Institutes of Health to understand gene expression in different tissues. Results 655 gene tags were extracted from 40 sequence files of normal peritumoral tissues, 43 different genes were identified, and 737 gene tags were extracted from 40 sequence files of pituitary adenoma tissue, and it was confirmed that 53 A different gene, 13 of these gene tags are not previously reported a new gene tag. Peripheral normal pituitary tissue and pituitary adenoma tissue and pituitary hormone secretion and energy metabolism related to some of the gene expression levels higher. Both tissues have growth factor and cytokine expression, including those related to the immune system. However, there was a significant difference in gene expression between normal pituitary tissue and pituitary adenoma tissue, with 31 and 5 gene tags detected only in specific tissues. Conclusions There is a high expression of some genes related to pituitary hormone secretion and energy metabolism in peritumoral normal pituitary tissue and pituitary adenoma tissues as well as the expression of growth factors and cytokines. There are also significant differences in gene expression between the two tissues. The SAGE method can not only obtain quantitative information of gene expression abundance but also discover new genes.