垂体腺瘤组织和瘤周正常垂体组织基因表达系列分析文库的构建和初步分析

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。

Serial analysis of gene expression in the pituitary adenomas and para-tumor normal pituitary tissues

Objective To observe the characteristics and difference of gene expression i n the pituitary adenomas and para-tumor normal pituitary tissues.Methods Using serial analysis of gene expression(SAGE),two SAGE libraries were generated .Forty clones from each SAGE library were sequenced,and the results were analy zed by SAGE2000software and compared with the SAGE map at NCBI.Results A to tal of655gene tages,representing43genes,were extracted from the40sequen ce files of the para-tumor normal pituitary tissues and737gene tags,represen ting53genes,were extracted from the40sequence files of the pituitary adenom as.Of these tags,13were not reported before.The genes related to pituitary hormone secretion and energy metabolism were highly expressed in the two kinds of tissues.Some growth factors and cytokines were also expressed,including t hose involved in the immunological system.But there were also much difference of gene expression in the two tissues.Thirty-one and five tags were only detec ted in para-tumor normal pituitary tissues and pituitary adenomas,respectively .Conclusions Genes involved in hormones secretion and energy metabolism were h ighly expressed in the pituitary adenomas and para-tumor normal pituitary tissue s. Many growth factors and cytokines were also expressed in pituitary.There wa s also much difference of gene expression in the two kinds of tissues.SAGE can be used not only in understanding the quantity information of gene expression, but also in finding new genes.