1. NET-CAGE characterizes the dynamics and topology of human transcribed cis-regulatory elements
- Author
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Masayoshi Itoh, Kotaro Shirakawa, Hideya Kawaji, Piero Carninci, Yasuhiro Murakawa, Takuya Uehata, Yu Matsuki, Juha Kere, Shigeki Hirabayashi, Akifumi Takaori-Kondo, Ai Kanemaru, Yujiro Takegami, Shintaro Katayama, Osamu Takeuchi, Shruti Bhagat, and Yoshihide Hayashizaki
- Subjects
Regulation of gene expression ,0303 health sciences ,RNA ,Promoter ,Computational biology ,Biology ,Chromatin ,Gene expression profiling ,03 medical and health sciences ,0302 clinical medicine ,Transcription (biology) ,Gene expression ,Genetics ,Enhancer ,030217 neurology & neurosurgery ,030304 developmental biology - Abstract
Promoters and enhancers are key cis-regulatory elements, but how they operate to generate cell type-specific transcriptomes is not fully understood. We developed a simple and robust method, native elongating transcript-cap analysis of gene expression (NET-CAGE), to sensitively detect 5' ends of nascent RNAs in diverse cells and tissues, including unstable transcripts such as enhancer-derived RNAs. We studied RNA synthesis and degradation at the transcription start site level, characterizing the impact of differential promoter usage on transcript stability. We quantified transcription from cis-regulatory elements without the influence of RNA turnover, and show that enhancer-promoter pairs are generally activated simultaneously on stimulation. By integrating NET-CAGE data with chromatin interaction maps, we show that cis-regulatory elements are topologically connected according to their cell type specificity. We identified new enhancers with high sensitivity, and delineated primary locations of transcription within super-enhancers. Our NET-CAGE dataset derived from human and mouse cells expands the FANTOM5 atlas of transcribed enhancers, with broad applicability to biomedical research.
- Published
- 2019