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用于癌症基因谱分析的自动化荧光差异显示

Automated fluorescent differential display for cancer gene profiling.

作者信息

Meade Jonathan D, Cho Yong-jig, Shester Blake R, Walden Jamie C, Guo Zhen, Liang Peng

机构信息

GenHunter Corporation, Nashville, TN, USA.

出版信息

Methods Mol Biol. 2010;576:99-133. doi: 10.1007/978-1-59745-545-9_7.

Abstract

Since its invention in 1992, differential display (DD) has become the most commonly used technique for identifying differentially expressed genes because of its many advantages over competing technologies such as DNA microarray, serial analysis of gene expression (SAGE), and subtractive hybridization. A large number of these publications have been in the field of cancer, specifically on p53 target genes. Despite the great impact of the method on biomedical research, there had been a lack of automation of DD technology to increase its throughput and accuracy for systematic gene expression analysis. Many previous DD work has taken a "shotgun" approach of identifying one gene at a time, with a limited number of polymerase chain reactions (PCRs) set up manually, giving DD a low-tech and low-throughput image. We have optimized the DD process with a platform that incorporates fluorescent digital readout, automated liquid handling, and large-format gels capable of running entire 96-well plates. The resulting streamlined fluorescent DD (FDD) technology offers an unprecedented accuracy, sensitivity, and throughput in comprehensive and quantitative analysis of gene expression. These major improvements will allow researchers to find differentially expressed genes of interest, both known and novel, quickly and easily.

摘要

自1992年发明以来,差异显示(DD)因其相对于DNA微阵列、基因表达序列分析(SAGE)和消减杂交等竞争技术具有诸多优势,已成为鉴定差异表达基因最常用的技术。这些出版物中有大量是在癌症领域,特别是关于p53靶基因的研究。尽管该方法对生物医学研究有重大影响,但差异显示技术一直缺乏自动化,以提高其用于系统基因表达分析的通量和准确性。许多以前的差异显示工作采用“霰弹枪”方法,即一次鉴定一个基因,手动设置有限数量的聚合酶链反应(PCR),这给差异显示带来了技术含量低和通量低的印象。我们使用一个整合了荧光数字读数、自动液体处理以及能够运行整个96孔板的大幅面凝胶的平台,对差异显示过程进行了优化。由此产生的简化型荧光差异显示(FDD)技术在基因表达的全面定量分析中提供了前所未有的准确性、灵敏度和通量。这些重大改进将使研究人员能够快速、轻松地找到感兴趣的差异表达基因,包括已知的和新发现的基因。

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