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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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Cites
Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype
Kim, D., Paggi, J. M., Park, C., Bennett, C., & Salzberg, S. L. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0201-4 · Cited by 15,022
MEME SUITE: tools for motif discovery and searching
Bailey, T. L., Boden, M., Buske, F. A., Frith, M., Grant, C. E., Clementi, L., Ren, J., Li, W. W., & Noble, W. S. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp335 · Cited by 10,648
Functions of DNA methylation: islands, start sites, gene bodies and beyond
Jones, P. A. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3230 · Cited by 6,061
DNA methylation and its basic function
Moore, L. D., Le, T., & Fan, G. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2012.112 · Cited by 4,906
Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq
Dominissini, D., Moshitch-Moshkovitz, S., Schwartz, S., Salmon-Divon, M., Ungar, L., Osenberg, S., Cesarkas, K., Jacob-Hirsch, J., Amariglio, N., Kupiec, M., et al. (2012) · Nature · doi:10.1038/nature11112 · Cited by 4,884
Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
Meyer, K. D., Saletore, Y., Zumbo, P., Elemento, O., Mason, C. E., & Jaffrey, S. R. (2012) · Cell · doi:10.1016/j.cell.2012.05.003 · Cited by 4,223
N6-Methyladenosine in nuclear RNA is a major substrate of the obesity-associated FTO
Jia, G., Fu, Y., Zhao, X., Dai, Q., Zheng, G., Yang, Y., Yi, C., Lindahl, T., Pan, T., Yang, Y.-G., et al. (2011) · Nature Chemical Biology · doi:10.1038/nchembio.687 · Cited by 4,106
Self-citationALKBH5 Is a Mammalian RNA Demethylase that Impacts RNA Metabolism and Mouse Fertility
Zheng, G., Dahl, J. A., Niu, Y., Fedorcsak, P., Huang, C.-M., Li, C. J., Vågbø, C. B., Shi, Y., Wang, W.-L., Song, S.-H., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2012.10.015 · Cited by 3,550
Dynamic RNA Modifications in Gene Expression Regulation
Roundtree, I. A., Evans, M., Pan, T., & He, C. (2017) · Cell · doi:10.1016/j.cell.2017.05.045 · Cited by 3,512
A METTL3–METTL14 complex mediates mammalian nuclear RNA N6-adenosine methylation
Liu, J., Yue, Y., Han, D., Wang, X., Fu, Y., Zhang, L., Jia, G., Yu, M., Lu, Z., Deng, X., et al. (2014) · Nature Chemical Biology · doi:10.1038/nchembio.1432 · Cited by 3,433
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Genetic regulation of m6A RNA methylation and its contribution in human complex diseases
Chen, K., Nan, J., & Xiong, X. (2024) · Science China Life Sciences · doi:10.1007/s11427-024-2609-8 · Cited by 5
LAMP‐MS for Locus‐Specific Visual Quantification of DNA 5 mC and RNA m6A Using Ultra‐Low Input
Xie, R., Yang, X., He, W., Luo, Z., Li, W., Xu, C., Cui, X., Zhang, W., Wei, N., Wang, X., et al. (2024) · Angewandte Chemie International Edition · doi:10.1002/anie.202413872 · Cited by 4
Dong, M., Rong, J., Zhang, X., Jiang, S., & Tan, J. (2025) · Discover Medicine · doi:10.1007/s44337-025-00199-8 · Cited by 4
Xia, K.-Y., Han, Y. H., Xu, W., Ma, F., & Zhang, C. (2025) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2025.137494 · Cited by 4
Tailoring and reversing m6A editing with sequential RNA bioorthogonal chemistry
Liu, X., Qi, Q., Xiong, W., Zhang, Y., Shen, W., Xu, X., Zhao, Y., Li, M., Zhou, E., Tian, T., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf283 · Cited by 4
Self-citationMi, Y., Huang, C., Liu, D., Li, T., Ying, X., Cao, J., & Liu, J. (2025) · Science China Life Sciences · doi:10.1007/s11427-024-2848-x · Cited by 4
The Roles of N6-Methyladenosine Modification in Plant–RNA Virus Interactions
He, M., Li, Z., & Xie, X. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242115608 · Cited by 4
Wang, X., Gan, M., Wang, Y., Wang, S., Lei, Y., Wang, K., Zhang, X., Chen, L., Zhao, Y., Niu, L., et al. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.132057 · Cited by 4
Diensthuber, G., Pryszcz, L. P., Llovera, L., Lucas, M. C., Delgado-Tejedor, A., Cruciani, S., Roignant, J., Begik, O., & Novoa, E. M. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.28.568965 · Cited by 4
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Sendinc, E., Yu, H., Fu, Y., Santos, J., Johnson, Z., Kirstein, J. R., Niu, J., Chabot, M. B., Cantu, V. A., Džakula, Ž., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.09.617509 · Cited by 4
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Pike, H., & Schwartz, S. (2025) · RNA · doi:10.1261/rna.080858.125 · Cited by 3
Directed evolution of Lantern enables rapid RNA and protein proximity labeling
Fang, Y., Ren, Z., Zheng, F., Wang, R., Zhao, S., Zhang, Y., Wang, W., Li, C., Liu-Yang, L., Lin, C., et al. (2026) · Nature Chemical Biology · doi:10.1038/s41589-026-02313-y · Cited by 4
Chen, X., Gan, Y., Guo, Y., Li, Y., Zhou, H., & Wang, R. (2023) · Tetrahedron Letters · doi:10.1016/j.tetlet.2023.154856 · Cited by 3
Self-citationDeamination‐ or N‐Nitrosation‐Based Methods for m6A Profiling
Shen, W., & Wang, J. (2024) · Israel Journal of Chemistry · doi:10.1002/ijch.202300180 · Cited by 3
Self-citationSteric hindrance of N 6 -methyl in m 6 A and its application for specific loci detection
Xie, X., Wei, Q., Han, J., Fang, X., Yang, W., Zhou, X., Wang, Y., & Weng, X. (2024) · Chemical Communications · doi:10.1039/d4cc01041h · Cited by 3
Timing is everything: When is m6A deposited?
Dierks, D., & Schwartz, S. (2024) · Molecular Cell · doi:10.1016/j.molcel.2024.09.012 · Cited by 3
Tang, Y., Wu, Y., Wang, S., Lu, X., Gu, X., Li, Y., Yang, F., Xu, R., Wang, T., Jiao, Z., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.27.011759 · Cited by 3
Self-citationQuantitative profiling of DNA 6mA at single-base resolution using NAME-seqPreprint
Li, X., Zhang, Z., Yin, J., Luo, X., Wang, Y., & Wu, T. (2022) · Research Square · doi:10.21203/rs.3.rs-2286301/v1 · Cited by 3
Navigating the landscape of epitranscriptomics and host immunityPreprint
Huang, E., Frydman-Gani, C., & Xiao, X. G. (2024) · Genome Research · doi:10.1101/gr.278412.123 · Cited by 4
The bladder cancer m 6 A landscape is defined by methylation dilution and 3′-UTR hypermethylationPreprint
Koch, J., Xu, J., Bormann, F., Carneiro, V. C., Neuberger, M., Nitschke, K., Nientiedt, M., Erben, P., Michel, M. S., Rodríguez‐Paredes, M., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.11.664345 · Cited by 3
Nicholson, L. S., Guimarães-Teixeira, C., Liu, J., Chien, R., Xu, J., Poh, H. X., Pan, Y.-X., & Jaffrey, S. (2025) · bioRxiv · doi:10.1101/2025.10.22.681652 · Cited by 5
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Song, G., Fan, X., Gao, C., Zhao, Y., & Yang, Y. (2024) · Israel Journal of Chemistry · doi:10.1002/ijch.202400003 · Cited by 2
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Fang, D., Babich, J. M., Dangelmaier, E. A., Wall, V., & Nachtergaele, S. (2024) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/bs.mie.2024.07.006 · Cited by 2
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Wang, H., Zhang, Y., Jiang, X. Y., Liu, G., Xu, S., He, J., He, X., Xiao, T., Wang, L., Li, X., et al. (2025) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2025.1559064 · Cited by 2
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Li, T., Ding, K., Bao, Z., Ma, Q., Huang, C., Cao, J., Shu, X., Gao, M., Luo, Z., Xiong, X., et al. (2025) · Cell Reports Methods · doi:10.1016/j.crmeth.2025.101103 · Cited by 2
Xie, Y., Tian, W., Zheng, C., & Li, M. (2025) · Advanced Functional Materials · doi:10.1002/adfm.70661 · Cited by 2
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He, W., Xu, C., Chen, W., Xiao, J., Wang, Y., Peng, Y., Chang, S., Zhu, W., Kang, J., & Hu, L. (2025) · Genome biology · doi:10.1186/s13059-025-03857-3 · Cited by 2
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Wu, H., Zhuang, Y., Peng, J., & Yi, C. (2026) · Science China Chemistry · doi:10.1007/s11426-025-3018-0 · Cited by 2
Self-citationHuang, Z., Liu, R., Wubulikasimu, Z., Zhao, W., Huang, J., Wang, J., Zhang, T., Fan, R., Kong, W., Cui, Q., et al. (2026) · Advanced Science · doi:10.1002/advs.202510075 · Cited by 2
Self-citationChen, T.-Q., Sun, Y., Zhu, S.-X., Chen, X., Pu, K., Huang, H., Pan, Q., Lian, J.-Y., Huang, W., Fang, K., et al. (2026) · The EMBO Journal · doi:10.1038/s44318-026-00707-1 · Cited by 2
Wu, Z., Li, J., Xia, R., Dai, J., Su, J., Meng, J., & Zhang, Y. (2026) · Advanced Biotechnology · doi:10.1007/s44307-025-00093-5 · Cited by 2
Koch, J., Xu, J., Bormann, F., Carneiro, V. C., Neuberger, M., Nitschke, K., Nientiedt, M., Erben, P., Michel, M. S., Rodríguez‐Paredes, M., et al. (2026) · EMBO Reports · doi:10.1038/s44319-026-00739-y · Cited by 2
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Peng, J., Xie, C., Xie, Z., Tang, F., Wang, Z., Liu, M., Yu, L., Tang, C., Liu, Z., Yuan, Z., et al. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1790638 · Cited by 2
Self-citationZhu, Y., Ma, K., Hao, Q., Fu, K., Hei, F., Ning, S., Yin, Z., Guo, W., Zou, H., & Tan, Z. (2026) · Molecular Cancer · doi:10.1186/s12943-026-02667-w · Cited by 2
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Xiao, Y., Bai, Z., Zou, Z., Ye, C., Tao, B., Zheng, Z., Chen, Y.-M., Zou, Z., Jiang, L., Zhao, L., et al. (2026) · Nature Methods · doi:10.1038/s41592-026-03123-9 · Cited by 3
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Sivasudhan, E., & Meyer, K. D. (2026) · Nature reviews. Neuroscience · doi:10.1038/s41583-026-01056-y · Cited by 3
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Sheng, T., Wang, S., Xiao, Y., Ni, P., Zhu, Y., Zhong, Z., & Wang, J. (2026) · Big Data Mining and Analytics · doi:10.26599/bdma.2025.9020101 · Cited by 2
Self-citationN6‐Methyladenosine in Mammalian Messenger RNA: Function, Location, and Quantitation
Ge, R., He, M. E., & Tang, W. (2024) · Israel Journal of Chemistry · doi:10.1002/ijch.202300181 · Cited by 2
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Fei, S., Fang, Z., & Zhao, B. S. (2024) · Israel Journal of Chemistry · doi:10.1002/ijch.202400014 · Cited by 2
Chemical reaction-driven detection technologies for modified nucleic acids
Fang, Z., Wang, Y., & Zhou, X. (2025) · Scientia Sinica Chimica · doi:10.1360/ssc-2025-0019 · Cited by 2
Wang, Y., Pajdzik, K., Zhao, Y., Ju, C., Stone, T. B., Zhang, L., Zhang, W., Assari, M., Zhao, W. R., Sepich‐Poore, C., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-70597-8 · Cited by 2
m6A regulates heterochromatin in mammalian embryonic stem cells
Xu, W., & Shen, H. (2024) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2024.102196 · Cited by 2
Guo, Y., Chen, X., Gan, Y., Li, Y., & Wang, R. (2024) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2024.129815 · Cited by 2
Self-citationThe conserved landscape of RNA modifications and transcript diversity across mammalian evolutionPreprint
Rodriguez, G. S., Srivastava, A., Ravindran, A., Oyelami, F. O., Ip, C. K., Gupta, P., Villanueva, J. E., King, H., Grootveld, A. K., Blackburn, J., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.24.624934 · Cited by 3
Wang, L., Li, T., & Zhou, Y. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.01.640267 · Cited by 2
Hamadou, M. H., Alunno, L., Venturelli, T., Valentini, S., Dalfovo, D., Lorenzini, F., Mattivi, A., Vigorito, V., Grupelli, G. P., Mattè, A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.02.646512 · Cited by 2
Iyyappan, R., Niu, Y., Hao, M., Pajdzik, K., Rakestraw, N. R., Jain, P., He, C., Zong, C. C., & Jiang, Z. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.07.663558 · Cited by 2
Ohnezeit, D., Loliashvili, E., Putzel, G., Verstraten, R., Silhavy, A. T., Liu, J. F., Nicholson, L. S., Pironti, A., Jaffrey, S. R., Depledge, D. P., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.02.686099 · Cited by 2
Prodic, S., Cleynen, A., Mahmud, S., Srivastava, A., Ravindran, A., Kanchi, M. M., Dastjerdi, A. H., Sethi, A. J., Ćorović, M., Jain, R., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.18.695332 · Cited by 2
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Yang, M., Ge, Y., Wu, D., Lin, J., & Li, R. (2024) · Chinese Science Bulletin (Chinese Version) · doi:10.1360/tb-2024-0097 · Cited by 1
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Self-citationIn silico λ-dynamics predicts protein binding specificities to modified RNAs
Angelo, M., Zhang, W., Vilseck, J. Z., & Aoki, S. T. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf166 · Cited by 1
Chai, G., Chen, H.-X., Ma, D.-Z., Ren, Z.-H., Liu, X., Zhang, Z., & Luo, G. (2025) · RNA · doi:10.1261/rna.080222.124 · Cited by 1
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(2025) · Nature Methods · doi:10.1038/s41592-025-02681-8 · Cited by 1
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Dierks, D., Shachar, R., Nir, R., García-Campos, M. A., Uzonyi, A., Wiener, D., Toth, U., Rossmanith, W., Lasman, L., Slobodin, B., et al. (2025) · eLife · doi:10.7554/elife.100448.3 · Cited by 1
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Shu, X., & Li, W. (2025) · Chemical Communications · doi:10.1039/d5cc02984h · Cited by 1
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Chan, A., Vries, I. S. N., & Dieterich, C. (2025) · Bioinformatics · doi:10.1093/bioinformatics/btaf536 · Cited by 1
Sun, Y., Feng, Y., Cheng, S., Li, L., & Li, H. (2025) · Obesity Reviews · doi:10.1111/obr.70029 · Cited by 1
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Zhou, T., Hong, Y., Li, P., Liu, X., Zhang, J., Wang, X., Li, A., & Sun, L. (2026) · Bioinformatics · doi:10.1093/bioinformatics/btag627 · Cited by 1
Zhang, S., Zhang, Y., Luo, Y., Zhang, S., Song, Y., Li, B., Zheng, F., Gao, P., Xu, J., & Chu, Y. (2025) · Microbial Pathogenesis · doi:10.1016/j.micpath.2025.108127 · Cited by 1
Naik, H. C., Baro, R., Sarkar, A., Nayak, M., Sunagar, K., & Gayen, S. (2025) · Stem Cell Reports · doi:10.1016/j.stemcr.2025.102740 · Cited by 1
Detection technologies for RNA modifications and their applications in plants
Du, J., Cheung, W., Zhang, L., Zhang, P., & Wang, G. (2025) · aBIOTECH · doi:10.1016/j.abiote.2025.100002 · Cited by 1
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Dierks, D., & Schwartz, S. (2026) · Molecular Cell · doi:10.1016/j.molcel.2026.01.002 · Cited by 1
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Fan, X., & Zhang, Y. (2026) · Frontiers in Plant Science · doi:10.3389/fpls.2026.1766123 · Cited by 1
Su, R., Gao, D., Du, Z., Meng, T., Li, C., Chen, L.-N., Lin, X., Cao, C., Fan, L.-H., Dong, Y., et al. (2026) · The EMBO Journal · doi:10.1038/s44318-026-00728-w · Cited by 1
Gao, X., Jia, J., Hui, C., & Lin, Y. (2026) · BMC Bioinformatics · doi:10.1186/s12859-026-06416-0 · Cited by 1
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Dou, X., & He, C. (2026) · Nature Chemical Biology · doi:10.1038/s41589-026-02207-z · Cited by 1
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Tani, H. (2026) · Journal of Molecular Biology · doi:10.1016/j.jmb.2026.169944 · Cited by 1
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Zhang, Y., Wang, C., Wu, L., & Luo, G. (2026) · Trends in Genetics · doi:10.1016/j.tig.2026.07.005 · Cited by 1
Yang, Y., Chen, L., Zheng, Z., Cai, G., & Huang, J. (2026) · Poultry Science · doi:10.1016/j.psj.2026.107573 · Cited by 1
Chen, D., Gan, M., Lei, Y., Wang, X., Zan, J., Ye, Q., Zhou, X., Chen, L., Wang, Y., Zhao, Y., et al. (2026) · Molecules · doi:10.3390/molecules31162797 · Cited by 1
Huang, X., Rong, B., Liu, K., Xie, W., Zhang, X., Lai, R., Lin, P., Li, G., Wang, C., Liao, Y., et al. (2026) · Vita · doi:10.15302/vita.2026.07.0060 · Cited by 1
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Chen, X., Guo, Y., & Wang, R. (2024) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2024.129847 · Cited by 1
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Zhang, Z., Cui, X., & Zhang, W. (2025) · RNA technologies · doi:10.1007/978-3-031-91072-2_16 · Cited by 1
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Jones, J. D., Eyler, D. E., & Koutmou, K. S. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01537-2 · Cited by 1
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Beadell, A. V. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.02.516060 · Cited by 1
Hu, L., Xie, G., Wu, Y., Li, Y., Wan, Z.-L., Li, M., Wang, J., & Wang, Y. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.13.642977 · Cited by 1
Self-citationGerber, S., Hewel, C., Wierczeiko, A., Miedema, J., Hofmann, F., Weißbach, S., Dietrich, V., Friedrich, J. H., Butto, T., Jensen, K., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-5567289/v1 · Cited by 1
He, E. M., Wu, Y., Ye, C., Zeng, T.-B., He, C., & Tang, W. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.11.653357 · Cited by 1
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Hellebek, I. R., Schlosser, M. S. L., Jönsson, J., Auxillos, J., & Rennie, S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.28.667157 · Cited by 1
Klein, P., Ronquillo, K., Arandel, L., Rau, F., & Furling, D. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.09.697937 · Cited by 1
Ohnezeit, D., Loliashvili, E., Putzel, G., Verstraten, R., Liu, J., Nicholson, L. S., Pironti, A., Jaffrey, S. R., Depledge, D. P., & Wilson, A. C. (2026) · eLife · doi:10.7554/elife.110672.1 · Cited by 1
Editorial: Novel insights in RNA modifications: From basic to translational research
Huang, H., Yi, C., Qian, P., Weng, H., & Chen, J. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1155993
Self-citationMar, D., Babenko, I. M., Zhang, R., Noble, W. S., Denisenko, O. N., Vaisar, T., & Bomsztyk, K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.16.533031
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Ge, L., FuAn, P. A. N., He, H., Jia, M., Li, F., & Zhou, X. (2023) · Scientia Sinica Vitae · doi:10.1360/ssv-2023-0213
Self-citationGuo, W., Ren, Z., Huang, X., He, J., Zhang, J., Wu, Z., Guo, Y., Zhang, Z., Cun, Y., & Wang, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.30.577990
Self-citationGuo, Y., Wu, Z., Cheng, W., Ren, Z., Cun, Y., & Wang, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.04.578119
Self-citationChai, G., Chen, H., Ma, D.-Z., Ren, Z.-H., Liu, X., & Luo, G. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.19.590363
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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