The DOI matches its Crossref record; 66 of the 67 references it cites were found in a registry or an index.
Absolute quantification of single-base m6A methylation in the mammalian transcriptome using GLORI
Abstract
N 6 -methyladenosine (m 6 A) is the most abundant RNA modification in mammalian cells and the best-studied epitranscriptomic mark. Despite the development of various tools to map m 6 A, a transcriptome-wide method that enables absolute quantification of m 6 A at single-base resolution is lacking. Here we use glyoxal and nitrite-mediated deamination of unmethylated adenosines (GLORI) to develop an absolute m 6 A quantification method that is conceptually similar to bisulfite-sequencing-based quantification of DNA 5-methylcytosine. We apply GLORI to quantify the m 6 A methylomes of mouse and human cells and reveal clustered m 6 A modifications with differential distribution and stoichiometry. In addition, we characterize m 6 A dynamics under stress and examine the quantitative landscape of m 6 A modification in gene expression regulation. GLORI is an unbiased, convenient method for the absolute quantification of the m 6 A methylome.
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“GLORI was performed as reported previously (Liu et al., 2023), slightly modified, as follows:”
From METTL3 uncouples chromatin accessibility from transcription during retinal development (2025) · cites this paper as Liu et al., 2023
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Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
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N6-Methyladenosine in nuclear RNA is a major substrate of the obesity-associated FTO
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Self-citationALKBH5 Is a Mammalian RNA Demethylase that Impacts RNA Metabolism and Mouse Fertility
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Dynamic RNA Modifications in Gene Expression Regulation
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The roles and implications of RNA m6A modification in cancer
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Regulation and functions of non-m6A mRNA modifications
Sun, H., Li, K., Liu, C., & Yi, C. (2023) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-023-00622-x · Cited by 288
Self-citationUzonyi, A., Dierks, D., Nir, R., Kwon, O. S., Toth, U., Barbosa, I., Burel, C., Brandis, A. S., Rossmanith, W., Hir, H. L., et al. (2023) · Molecular Cell · doi:10.1016/j.molcel.2022.12.026 · Cited by 209
N6-methyladenosine-mediated gene regulation and therapeutic implications
Liu, Y., Yang, D., Liu, T., Chen, J., Yu, J., & Yi, P. (2023) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2023.03.005 · Cited by 152
Detection, regulation, and functions of RNA N6-methyladenosine modification in plants
Tang, J., Chen, S., & Jia, G. (2023) · Plant Communications · doi:10.1016/j.xplc.2023.100546 · Cited by 127
Metadata
- Authors
- Liu, C., Sun, H., Yi, Y., Shen, W., Li, K., Xiao, Y., Li, F., Li, Y., Hou, Y., Lu, B., Liu, W., Meng, H., Peng, J., Yi, C., & Wang, J.
- Affiliations
- Peking University (CN)
- Center for Life Sciences (CN)
- Corresponding author
- Yi, Chengqi
- Wang, Jing
- ORCID
- Venue
- Nature Biotechnology
- Published
- 2022-10-27
- Volume
- 41
- Issue
- 3
- Pages
- 355-366
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W4307500724
- Cited by
- 386
- References
- 67
- Citations by year
- 2026: 100 · 2025: 125 · 2024: 103 · 2023: 53 · 2022: 4
- FWCI
- 23.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (22077006, 91940304)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA modifications and cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Keywords
- N6-methyladenosine, m6A RNA methylation, epitranscriptomics, absolute quantification, single-base resolution, m6A methylome, stress response, gene expression regulation, mouse cells, human cells
- MeSH terms
- Animals, DNA, Gene Expression Regulation, Humans, Mammals, Methylation, DNA Methylation, Transcriptome
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