Kim Yeong Cheol, Jung Yong-Chul, Xuan Zhenyu, Dong Hui, Zhang Michael Q, Wang San Ming
Center for Functional Genomics, Division of Medical Genetics, Department of Medicine, ENH Research Institute, Northwestern University, Evanston, IL 60201, USA.
FEBS Lett. 2006 Dec 11;580(28-29):6721-9. doi: 10.1016/j.febslet.2006.11.013. Epub 2006 Nov 14.
The SAGE (serial analysis of gene expression) method is sensitive at detecting the lower abundance transcripts. More than a third of human SAGE tags identified are novel representing the low abundance unknown transcripts. Using the GLGI method (generation of longer 3' EST from SAGE tag for gene identification), we converted 1009 low-copy, human X chromosome-specific SAGE tags into 10210 3' ESTs. We identified 3418 unique 3' ESTs, 46% of which are novel and originated from the lower abundance transcripts. However, nearly all 3' ESTs were mapped to various regions across the genome but not X chromosome. Detailed analysis indicates that those 3' ESTs were isolated by SAGE tag mis-priming to the non-parent transcripts. Replacing SAGE tags with non-transcribed genomic DNA tags resulted in poor amplification, indicating that the sequence similarity between different transcripts contributed to the amplification. Our study shows the prevalence of novel low abundance transcripts that can be isolated efficiently through SAGE tags mis-priming.
基因表达序列分析(SAGE)方法在检测低丰度转录本方面很灵敏。所鉴定出的人类SAGE标签中,超过三分之一是新的,代表低丰度未知转录本。使用GLGI方法(从SAGE标签生成更长的3' EST用于基因鉴定),我们将1009个低拷贝、人类X染色体特异性SAGE标签转化为10210个3' EST。我们鉴定出3418个独特的3' EST,其中46%是新的,且源自低丰度转录本。然而,几乎所有的3' EST都被定位到基因组的各个区域,而非X染色体。详细分析表明,那些3' EST是通过SAGE标签错配到非亲本转录本而分离出来的。用非转录基因组DNA标签取代SAGE标签导致扩增效果不佳,这表明不同转录本之间的序列相似性有助于扩增。我们的研究表明,通过SAGE标签错配可以有效分离出新的低丰度转录本。