Quantifying the RNA cap epitranscriptome reveals novel caps in cellular and viral RNA

Chemical modification of transcripts with 5' caps occurs in all organisms. Here, we report a systems-level mass spectrometry-based technique, CapQuant, for quantitative analysis of an organism's cap epitranscriptome. The method was piloted with 21 canonical caps-m7GpppN, m7GpppNm, GpppN, G...

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Bibliographic Details
Main Authors: Wang, Jin (Author), Alvin Chew, Bing Liang (Author), Lai, Yong (Author), Dong, Hongping (Author), Xu, Luang (Author), Balamkundu, Seetharamsingh (Author), Cai, Weiling Maggie (Author), Cui, Liang (Author), Liu, Chuan Fa (Author), Fu, Xin-Yuan (Author), Lin, Zhenguo (Author), Shi, Pei-Yong (Author), Lu, Timothy K (Author), Luo, Dahai (Author), Jaffrey, Samie R (Author), Dedon, Peter C (Author)
Other Authors: Massachusetts Institute of Technology. Synthetic Biology Center (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Oxford University Press (OUP), 2020-07-21T18:51:32Z.
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