Nature Biotechnology
22, 1146 - 1149 (2004)
Published online: 8 August 2004; | doi:10.1038/nbt998
5'-end SAGE for the analysis of transcriptional start sitesShin-ichi Hashimoto1, Yutaka Suzuki2, 4, Yasuhiro Kasai3, 4, Kei Morohoshi1, Tomoyuki Yamada3, Jun Sese3, Shinichi Morishita3, Sumio Sugano2
& Kouji Matsushima11
Department of Molecular Preventive Medicine, School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. 2
Department of Virology, Institute of Medical Science, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. 3
Department of Computational Biology, Graduate School of Frontier Science, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. 4
These authors contributed equally to this work.
Correspondence should be addressed to Kouji Matsushima koujim@m.u-tokyo.ac.jpIdentification of the mRNA start site is essential in establishing the full-length cDNA sequence of a gene and analyzing its promoter region, which regulates gene expression. Here we describe the development of a 5'-end serial analysis of gene expression (5' SAGE) that can be used to globally identify transcriptional start sites and the frequency of individual mRNAs. Of the 25,684 5' SAGE tags in the HEK293 human cell library, 19,893 matched to the human genome. Among 15,448 tags in one locus of the genome, 85.8%−96.1% of the 5' SAGE tags were assigned within -500 to +200 nt of mRNA start sites using the RefSeq, UniGene and DBTSS databases. This technique should facilitate 5'-end transcriptome analysis in a variety of cells and tissues.
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