Suppr超能文献

通过微阵列分析检测人类肿瘤中爱泼斯坦-巴尔病毒感染及基因表达

Detection of Epstein-Barr virus infection and gene expression in human tumors by microarray analysis.

作者信息

Li Ching, Chen Ruey-Shyang, Hung Shang-Kai, Lee Yuan-Ti, Yen Ching-Yu, Lai Yi-Wen, Teng Ru-Hsiu, Huang Jia-Yan, Tang Yung-Cheng, Tung Chao-Ping, Wei Ta-Tung, Shieh Biehuoy, Liu Shih-Tung

机构信息

Department of Microbiology and Immunology, Chung Shan Medical University, Taichung, Taiwan, ROC.

出版信息

J Virol Methods. 2006 May;133(2):158-66. doi: 10.1016/j.jviromet.2005.10.032. Epub 2005 Dec 27.

Abstract

Epstein-Barr virus (EBV) genome-chips are employed to determine the EBV infection rate and to reveal the gene expression patterns of EBV in tumor biopsies. These chips are produced with 71 consecutive PCR-amplified EBV DNA fragments of 1-3 kbp covering the entire EBV genome. The specificity of the EBV-chips is determined by hybridizing the DNA on the chips with biotin-labeled cDNA probes reverse transcribed from the mRNA of P3HR1 cells, which were B-cell infected latently by EBV. Hybridization results revealed only the expression of EBNA1, EBNA2, EBER1 and EBER2 in these cells. On the other hand, EBV lytic genes are expressed after the cells are treated with 12-O-tetradecanoylphorbol-13-acetate and sodium butyrate to induce the EBV lytic cycle. Fourty-four tumor biopsies from different organs are assayed with these chips, which showed many defined and interesting EBV gene expression patterns. This study demonstrates that the EBV-chip is useful for screening infection with EBV in tumors, which may lead to insights into tumorigenesis associated with this virus.

摘要

爱泼斯坦-巴尔病毒(EBV)基因组芯片用于确定EBV感染率,并揭示EBV在肿瘤活检组织中的基因表达模式。这些芯片由覆盖整个EBV基因组的71个连续的1-3kbp的PCR扩增EBV DNA片段制成。EBV芯片的特异性通过将芯片上的DNA与从被EBV潜伏感染的B细胞P3HR1细胞的mRNA逆转录得到的生物素标记的cDNA探针杂交来确定。杂交结果显示这些细胞中仅表达EBNA1、EBNA2、EBER1和EBER2。另一方面,在用12-O-十四烷酰佛波醇-13-乙酸酯和丁酸钠处理细胞以诱导EBV裂解周期后,EBV裂解基因得以表达。用这些芯片对来自不同器官的44份肿瘤活检组织进行检测,结果显示出许多明确且有趣的EBV基因表达模式。这项研究表明,EBV芯片可用于筛查肿瘤中的EBV感染,这可能有助于深入了解与该病毒相关的肿瘤发生机制。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验