High-throughput GLGI procedure for converting a large number of serial analysis of gene expression tag sequences into 3' complementary DNAs.

Serial analysis of gene expression (SAGE) is a powerful technique for genome-wide analysis of gene expression. However, two-thirds of SAGE tags cannot be used directly for gene identification for two reasons. First, many SAGE tags match several known expressed sequences, owing to the short length of SAGE tag sequences. Second, many SAGE tags do not match any known expressed sequences, presumably because the sequences corresponding to these SAGE tags have not been identified. These two problems can be solved by extension of the SAGE tags into 3' complementary DNAs (cDNAs) by use of the GLGI technique (generation of longer cDNA fragments from SAGE tags for gene identification). We have improved the original GLGI technique into a high-throughput procedure for simultaneous conversion of a large number of SAGE tags into corresponding 3' cDNAs. The whole process is simple, rapid, low-cost, and highly efficient, as shown by our use of this procedure for analyzing hundreds of SAGE tags. In addition to identifying the correct gene for SAGE tags with multiple matches, GLGI can be used for large-scale identification of novel genes by converting novel SAGE tags into 3' cDNAs. Applying this high-throughput procedure should accelerate the rate of gene identification significantly in the human and other eukaryotic genomes.     

基因表达系列分析及其应用前景

基因表达系列分析(Serial analysis of gene expression，SAGE)是一种研究真核细胞表达基因信息的高通量检测技术，它能对细胞内所有表达基因进行定性与定量分析。近年来此技术广泛应用于获得表达基因谱的研究，并且可以发现新基因信息，还可发现基因的靶向定位以及对其它基因的影响，明确表达基因的功能。本文就SAGE的原理、实验方案、技术发展与演变及其应用前景进行详细介绍。     

基因表达系列分析技术研究进展

基因表达系列分析技术(SAGE)是一种新的基因表达分析技术,它可以大量获取全基因组范围基因表达的类别并量化分析。由于其克服了基因丰度的影响,SAGE在新基因的发现中具有独特的优点。同时,SAGE技术被成功应用于特异组织或细胞的转录组研究、mRNA群体间的全局化比较以及差异表达基因染色体分布的分析。文章主要述及了SAGE技术的原理、特点及其在应用上的最新进展。