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口腔癌组织基因表达谱的cDNA微阵列检测结果分析 被引量:2

Preliminary Analysis of Gene Expression Profiles in Oral Cancer with Microarray Technique
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摘要 目的运用cDNA微阵列技术,研究口腔鳞状细胞癌组织和癌旁正常组织基因表达谱的变化,为探讨口腔癌发生机制提供筛选资料。方法应用cDNA微阵列技术(含4124条基因),对5例口腔癌患者的癌组织及同一患者的癌旁正常组织进行分析。由2种组织中分别抽提TotalRNA后,经逆转录合成荧光分子(Cy3/Cy5)掺入的cDNA链制备表达谱探针,与微阵列芯片杂交,严格洗片后,用荧光扫描仪扫描芯片,获得荧光信号图像,利用计算机分析肿瘤及癌旁正常组织中差异表达的基因,并进行分子生物信息学分析。结果在4124条基因中,口腔癌和癌旁正常组织间存在差异表达的基因。在所检测的5对临床标本中,发现有显著差异表达的基因37条(0.89%)。生物信息学分析显示,该37条显著差异表达的基因与肿瘤的发病机制可能存在相关性。结论cDNA微阵列技术能同时检测2种不同组织中多个基因的差异表达,能为研究肿瘤发病机制提供有价值的筛选资料。 Objective To study the difference in gene expression between oral squamous cell carcinoma tissue and their surrounding normal tissue by microarray so as to investigate the preliminary mechanism of pathogenesis of oral cancer.Methods The tissues from5patients with oral squamous cell carcinoma tissue and their surrounding normal tissue from the same patients were analyzed by cDNA microarray technology(including4124genes).Total RNAs were isolated from two tissues,and then were reversely transcribed to cDNAs with the incorporations of fluorescent dUTP,for preparing the hy-bridization probes.The mixed probes were then hybridized to the cDNA microarray.After high-stringent washing,the cD-NA microarray was scanned for the fluorescent signals and showed the differences between the two tissues.Bioinformatical analysis of those genes had been performed.Results Among the4124target genes,there were37(0.89%)genes whose ex-pression levels differed between the carcinoma and their surrounding normal tissues in all5cases.Bioinformatical analysis of those genes suggested that they may be related to the multistep process of carcinogenesis.Conclusion cDNA microar-ray technique can simultaneously screen the different expressions of genes from2different kinds of tissue.Further analy-sis of the obtained genes will help to understand the molecular mechanism of malignant carcinoma.
出处 《上海口腔医学》 CAS CSCD 2003年第5期344-348,共5页 Shanghai Journal of Stomatology
基金 2000年度攀登-特别支持项目(2000-026)
关键词 口腔癌 基因表达 微阵列 Oral Cancer Gene Expression Microarrays
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