Tuteja Renu, Tuteja Narendra
International Centre for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, New Delhi, India.
Med Sci Monit. 2004 Jun;10(6):RA132-40. Epub 2004 Jun 1.
Serial analysis of gene expression (SAGE) is a powerful tool that allows digital analysis of overall gene expression patterns. SAGE provides quantitative and comprehensive expression profiling in a given cell population. Because SAGE does not require a preexisting clone, it can be used to identify and quantitate new as well as known genes. It works by isolating short fragments of genetic information from the genes expressed in the cell being studied. These short sequences, called SAGE tags, are linked together for efficient sequencing. SAGE is particularly well suited for organisms whose genome is not completely sequenced, because it does not require a hybridization probe for each transcript and allows new genes to be discovered. New modifications of SAGE now permit the analysis of gene expression in cell sub-populations or micro-anatomic structures, providing access to unexplored transcriptomes of normal and disease biology. Data derived using the SAGE technology have been used to identify tumor markers for a variety of cancers, including gastrointestinal cancer, lung and thyroid cancer, breast and ovarian cancer, neuroblastoma and glioblastoma, prostate cancer, and renal cell carcinoma. In this review we present an outline of the method and updated information on the applications of SAGE technology to various cancers.
基因表达系列分析(SAGE)是一种强大的工具,可对整体基因表达模式进行数字化分析。SAGE能在给定细胞群体中提供定量且全面的表达谱分析。由于SAGE不需要预先存在的克隆,它可用于鉴定和定量新的以及已知的基因。其工作原理是从被研究细胞中表达的基因分离出短的遗传信息片段。这些短序列称为SAGE标签,它们被连接在一起以便高效测序。SAGE特别适合基因组未完全测序的生物体,因为它不需要针对每个转录本的杂交探针,还能发现新基因。SAGE的新改进现在允许分析细胞亚群或微解剖结构中的基因表达,从而能够研究正常生物学和疾病生物学中未被探索的转录组。使用SAGE技术获得的数据已被用于鉴定多种癌症的肿瘤标志物,包括胃肠道癌、肺癌和甲状腺癌、乳腺癌和卵巢癌、神经母细胞瘤和胶质母细胞瘤、前列腺癌以及肾细胞癌。在本综述中,我们概述了该方法,并介绍了SAGE技术在各种癌症应用方面的最新信息。