卵巢癌基因表达谱的cDNA微矩阵研究

cDNA microarray in gene expression profiles of ovarian cancer

目的:探讨cDNA微矩阵(基因芯片)研究卵巢癌基因表达谱及分析部分差异表达基因功能的可行性。方法:采用4 097个靶基因点BiostarH-40s表达谱基因芯片,检测5例卵巢浆液性腺癌及5例正常卵巢组织(cy3-dUTP标记正常卵巢组织的RNA,用cy5-dUTP标记卵巢癌组织的RNA)的基因表达谱。结果:两组病例卵巢癌基因表达谱中,4例以上差异表达基因163个,其中基因表达增高(上调趋势)66个,基因表达降低(下调趋势)97个。明确基因功能分类的差异表达基因37个,其中原癌基因和抑癌基因类基因3个,细胞周期蛋白类基因1个,细胞骨架及运动蛋白类基因6个,DNA结合、转录和转录因子类基因1个,细胞受体类基因2个,免疫相关蛋白类基因5个,代谢类基因7个,蛋白翻译合成类基因2个,发育相关基因3个,其他类基因7个。结论:应用cDNA微矩阵研究卵巢癌基因表达谱,发现差异表达基因及其基因功能分类。

Objective To study the gene expression profiles of ovarian cancer by cDNA microarray, and preliminarily analyze the function of part of differential expression genes. Methods BiostarH-40s gene microarray containing 4 097 genes was used to analyze gene expression patterns in tissue samples from 5 eases of human ovarian serous cystadenocarinoma （cy5-dUTP present ） and 5 cases of normal ovarian tissues （cy3-dUTP present）. Results 163 genes of differential expression were found in more than 4 cases of ovarian cancer, the expression of 66 genes increased （up-regulated）, the expression of 97 genes decreased （down-regulated）. 37 differential genes with difinite gene function classification were found including three protocogene and tumor suppressor genes, one cyclin protein gene, three cytoskeletal and movement protein genes, one DNA binding, transcription and transcription factors gene, two cell receptor genes, five immune-related protein genes, seven metabolism genes, two protein translation and synthesis genes, three growth-related genes and seven other types of genes. Oonclusion Gene expression profiles of ovarian cancer can be detected by cDNA microarray, and differential expression genes and their gene function classification of ovarian cancer are found.