首页> 外文会议>Academic Committee Conference of Shanghai key lab of stomatology >Study of the Differentially Expressed Genes in Pleomorphic Adenoma Using cDNA Microarrays
【24h】

Study of the Differentially Expressed Genes in Pleomorphic Adenoma Using cDNA Microarrays

机译:利用基因芯片研究多态性腺瘤中差异表达基因的研究

获取原文

摘要

Recent studies have determined that gene expression profiling using microarray technology can be used to identify tumor-related molecules. The objective of this study was to screen the differentially expressed genes between pleomorphic adenoma (PA) and the normal tissue adjacent to PA using cDNA microarrays and to further validate the differentially expressed genes by real-time PCR. In this study, we selected five pairs of PA and the surrounding normal salivary gland tissues. The total RNA was isolated from tumor and normal tissues and purified to mRNA. The mRNA was reverse-transcribed to cDNA with the incorporation of fluorescent-labeled dUTP to prepare the hybridization probes. The mixed probes were hybridized to Whole Human Gene Expression Microarrays by Agilent. Tumorrelated genes were screened by analyzing the fluorescence intensity. As a result, a total of 447 genes were found to be differentially expressed between PA and normal tissue adjacent to PA. Among them, 185 genes were up-regulated and 262 genes were down-regulated in PA. By constructing a network from the differentially expressed genes, some genes, such as Gli2 and CTNNB1, were identified as being at the core of the network. In addition, differential gene expression was validated for 2 up-regulated genes, Gli2 and LOX, using real-time PCR and the results were consistent with those of the cDNA microarray analysis thus verifying the credibility of the microarray data. Therefore, our microarray data may provide clues for finding novel genes involved in the development of PA, and shed light on finding new targets for diagnosis and therapy of PA. Further characterization of these differentially expressed genes will be useful in understanding the genetic basis for PA.
机译:最近的研究已经确定,使用微阵列技术的基因表达谱可用于鉴定肿瘤相关分子。这项研究的目的是使用cDNA微阵列筛选多形性腺瘤(PA)和PA邻近的正常组织之间的差异表达基因,并通过实时PCR进一步验证差异表达的基因。在这项研究中,我们选择了五对PA和周围的正常唾液腺组织。从肿瘤和正常组织中分离出总RNA,并纯化为mRNA。通过掺入荧光标记的dUTP将mRNA反转录为cDNA,以制备杂交探针。通过安捷伦将混合的探针与全人基因表达微阵列杂交。通过分析荧光强度筛选肿瘤相关基因。结果,发现总共447个基因在PA和与PA相邻的正常组织之间差异表达。其中,PA中有185个基因被上调,而262个基因被下调。通过从差异表达的基因构建网络,某些基因(例如Gli2和CTNNB1)被确定为网络的核心。此外,使用实时PCR对2个上调基因Gli2和LOX的差异基因表达进行了验证,结果与cDNA微阵列分析的结果一致,从而验证了微阵列数据的可信度。因此,我们的微阵列数据可能为寻找与PA发生发展有关的新基因提供线索,并为寻找PA诊断和治疗的新靶标提供了启示。这些差异表达基因的进一步表征将有助于理解PA的遗传基础。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号