Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142174
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dc.contributor.authorWang, Jinen_US
dc.contributor.authorChew, Alvin Bing Liangen_US
dc.contributor.authorLai, Yongen_US
dc.contributor.authorDong, Hongpingen_US
dc.contributor.authorXu, Luangen_US
dc.contributor.authorBalamkundu, Seetharamsinghen_US
dc.contributor.authorCai, Maggie Weilingen_US
dc.contributor.authorCui, Liangen_US
dc.contributor.authorLiu, Chuan Faen_US
dc.contributor.authorFu, Xin-Yuanen_US
dc.contributor.authorLin, Zhenguoen_US
dc.contributor.authorShi, Pei-Yongen_US
dc.contributor.authorLu, Timothy K.en_US
dc.contributor.authorLuo, Dahaien_US
dc.contributor.authorJaffrey, Samie R.en_US
dc.contributor.authorDedon, Peter C.en_US
dc.date.accessioned2020-06-16T09:21:52Z-
dc.date.available2020-06-16T09:21:52Z-
dc.date.issued2019-
dc.identifier.citationWang, J., Chew, A. B. L., Lai, Y., Dong, H., Xu, L., Balamkundu, S., . . . Dedon, P. C. (2019). Quantifying the RNA cap epitranscriptome reveals novel caps in cellular and viral RNA. Nucleic Acids Research, 47(20), e130-. doi:10.1093/nar/gkz751en_US
dc.identifier.issn0305-1048en_US
dc.identifier.urihttps://hdl.handle.net/10356/142174-
dc.description.abstractChemical 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, GpppNm, and m2,2,7GpppG-and 5 'metabolite' caps-NAD, FAD, UDP-Glc, UDP-GlcNAc, and dpCoA. Applying CapQuant to RNA from purified dengue virus, Escherichia coli, yeast, mouse tissues, and human cells, we discovered new cap structures in humans and mice (FAD, UDP-Glc, UDP-GlcNAc, and m7Gpppm6A), cell- and tissue-specific variations in cap methylation, and high proportions of caps lacking 2'-O-methylation (m7Gpppm6A in mammals, m7GpppA in dengue virus). While substantial Dimroth-induced loss of m1A and m1Am arose with specific RNA processing conditions, human lymphoblast cells showed no detectable m1A or m1Am in caps. CapQuant accurately captured the preference for purine nucleotides at eukaryotic transcription start sites and the correlation between metabolite levels and metabolite caps.en_US
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en_US
dc.language.isoenen_US
dc.relation.ispartofNucleic Acids Researchen_US
dc.rights© 2019 The Author(s) (Published by Oxford University Press on behalf of Nucleic Acids Research). This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.comen_US
dc.subjectScience::Medicineen_US
dc.titleQuantifying the RNA cap epitranscriptome reveals novel caps in cellular and viral RNAen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Biological Sciencesen_US
dc.contributor.schoolInterdisciplinary Graduate School (IGS)en_US
dc.contributor.schoolLee Kong Chian School of Medicine (LKCMedicine)en_US
dc.contributor.organizationNTU Institute of Health Technologiesen_US
dc.identifier.doi10.1093/nar/gkz751-
dc.description.versionPublished versionen_US
dc.identifier.pmid31504804-
dc.identifier.scopus2-s2.0-85074875597-
dc.identifier.issue20en_US
dc.identifier.volume47en_US
dc.subject.keywordsRNA Characterisation and Manipulationen_US
dc.subject.keywordsMass Spectrometry-based Techniqueen_US
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Appears in Collections:LKCMedicine Journal Articles
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