泌乳素腺瘤基因表达谱的建立与分析

目的建立和分析泌乳素腺瘤的基因表达谱。方法应用人全基因组寡核苷酸芯片HG-U133A2.0检测2例泌乳素腺瘤组织和2例混合的正常垂体组织的基因表达谱,对差异表达基因进行筛选和生物信息学分析。结果成功建立正常垂体与泌乳素腺瘤的基因表达谱,筛选出与泌乳素腺瘤相关的上调基因313条,下调基因856条。这些差异基因功能聚类显示主要涉及分子结合、凋亡或肿瘤相关、代谢、信号传导、细胞周期等多个分子通路。结论基因表达谱的建立有助于分析、研究泌乳素腺瘤的分子机制。

Establishment and analysis of gene-expression profiles in prolactinomas

Objective To establish and analyze the gene-expression profiles in the prolactinomas.Methods The gene expression profiles in 2 prolactinoma samples and 2 normal pooled pituitary tissues samples were determined by the whole genome oligonucleotide microarray（Affymetrix 133 plus 2.0）.Differentially expressed genes were screened out and their bioinformatics was analyzed.Results The gene expression profiles in the normal pooled pituitary tissues and prolactinomas were successful established.There were 313 up-regulated genes and 856 down-regulated genes in the prolactinomas compared to the normal pooled pituitary tissues.These differentially expressed genes mainly involved in the molecular pathways of molecular binding,apoptosis or tumor,metabolism,signal transduction activity and cell-cycle.Conclusions The establishment of gene expression profiles in the prolactinoma is helpful to analysis the molecular mechanism of pathogenesis of the prolactinoma.