Cap analysis gene expression for high-throughput analysis of transcriptional starting point and identification of promoter usage

Toshiyuki Shiraki(Center for Genomic Science), Shinji Kondo(Center for Genomic Science), Shintaro Katayama(Center for Genomic Science), Kazunori Waki(Center for Genomic Science), Takeya Kasukawa(NTT (United States)), Hideya Kawaji(NTT (United States)), Rimantas Kodzius(Center for Genomic Science), Akira Watahiki(Center for Genomic Science), Mari Nakamura(Center for Genomic Science), Takahiro Arakawa(Center for Genomic Science), Shiro Fukuda(Center for Genomic Science), Daisuke Sasaki(Center for Genomic Science), Anna J. Podhajska(Center for Genomic Science), Matthias Harbers(Center for Genomic Science), Jun Kawai(Center for Genomic Science), Piero Carninci(Center for Genomic Science), Yoshihide Hayashizaki(Center for Genomic Science)
Proceedings of the National Academy of Sciences
December 8, 2003
Cited by 773Open Access
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Abstract

We introduce cap analysis gene expression (CAGE), which is based on preparation and sequencing of concatamers of DNA tags deriving from the initial 20 nucleotides from 5' end mRNAs. CAGE allows high-throughout gene expression analysis and the profiling of transcriptional start points (TSP), including promoter usage analysis. By analyzing four libraries (brain, cortex, hippocampus, and cerebellum), we redefined more accurately the TSPs of 11-27% of the analyzed transcriptional units that were hit. The frequency of CAGE tags correlates well with results from other analyses, such as serial analysis of gene expression, and furthermore maps the TSPs more accurately, including in tissue-specific cases. The high-throughput nature of this technology paves the way for understanding gene networks via correlation of promoter usage and gene transcriptional factor expression.


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