The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Where, When, and How: Context-Dependent Functions of RNA Methylation Writers, Readers, and Erasers
Open accessAbstract
Cellular RNAs are naturally decorated with a variety of chemical modifications. The structural diversity of the modified nucleosides provides regulatory potential to sort groups of RNAs for organized metabolism and functions, thus affecting gene expression. Recent years have witnessed a burst of interest in and understanding of RNA modification biology, thanks to the emerging transcriptome-wide sequencing methods for mapping modified sites, highly-sensitive mass spectrometry for precise modification detection and quantification, and extensive characterization of the modification “effectors”, including enzymes (“writers” and “erasers”) that alter the modification level and binding proteins (“readers”) that recognize the chemical marks. However, challenges remain due to the vast heterogeneity in expression abundance of different RNA species, further complicated by divergent cell-type-specific and tissue-specific expression and localization of the effectors as well as modifications. In this review, we highlight recent progress in understanding the function of N6-methyladenosine (m6A), the most abundant internal mark on eukaryotic messenger RNA (mRNA), in light of the specific biological contexts of m6A effectors. We emphasize the importance of context for RNA modification regulation and function.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
N6-methyladenosine-dependent regulation of messenger RNA stability
Wang, X., Lu, Z., Gomez, A., Hon, G. C., Yue, Y., Han, D., Fu, Y., Parisien, M., Dai, Q., Jia, G., et al. (2014) · Nature · doi:10.1038/nature12730 · Cited by 4,558
Self-citationComprehensive 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
Self-citationN6-methyladenosine Modulates Messenger RNA Translation Efficiency
Wang, X., Zhao, B. S., Roundtree, I. A., Lu, Z., Han, D., Ma, H., Weng, X., Chen, K., Shi, H., & He, C. (2015) · Cell · doi:10.1016/j.cell.2015.05.014 · Cited by 3,483
Self-citationA 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
Self-citationRecognition of RNA N6-methyladenosine by IGF2BP proteins enhances mRNA stability and translation
Huang, H., Weng, H., Sun, W., Qin, X., Shi, H., Wu, H., Zhao, B. S., Mesquita, A., Liu, C., Yuan, C. L., et al. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0045-z · Cited by 2,997
Self-citationNuclear m6A Reader YTHDC1 Regulates mRNA Splicing
Xiao, W., Adhikari, S., Dahal, U., Chen, Y.-S., Hao, Y.-J., Sun, B.-F., Sun, H.-Y., Li, A., Ping, X.-L., Lai, W.-Y., et al. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.01.012 · Cited by 2,054
YTHDF3 facilitates translation and decay of N6-methyladenosine-modified RNA
Shi, H., Wang, X., Lu, Z., Zhao, B. S., Ma, H., Hsu, P. J., Liu, C., & He, C. (2017) · Cell Research · doi:10.1038/cr.2017.15 · Cited by 1,815
Self-citationm6A RNA methylation promotes XIST-mediated transcriptional repression
Patil, D. P., Chen, C.-K., Pickering, B. F., Chow, A., Jackson, C., Guttman, M., & Jaffrey, S. R. (2016) · Nature · doi:10.1038/nature19342 · Cited by 1,747
Cited by
The role of m6A modification in the biological functions and diseases
Jiang, X., Liu, B., Nie, Z., Duan, L., Xiong, Q., Jin, Z., Yang, C., & Chen, Y. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00450-x · Cited by 2,335
Alternative Splicing Regulatory Networks: Functions, Mechanisms, and Evolution
Ule, J., & Blencowe, B. J. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.09.017 · Cited by 780
Stem cell programs in cancer initiation, progression, and therapy resistance
Huang, T., Song, X., Xu, D., Tiek, D., Goenka, A., Wu, B., Sastry, N., Hu, B., & Cheng, S.-Y. (2020) · Theranostics · doi:10.7150/thno.41648 · Cited by 524
The evolving metabolic landscape of chromatin biology and epigenetics
Dai, Z., Ramesh, V., & Locasale, J. W. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-020-0270-8 · Cited by 494
Modifications in an Emergency: The Role of N1-Methylpseudouridine in COVID-19 Vaccines
Nance, K. D., & Meier, J. L. (2021) · ACS Central Science · doi:10.1021/acscentsci.1c00197 · Cited by 466
Metadata
- Authors
- Shi, H., Wei, J., & He, C.
- Venue
- Molecular Cell
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 74
- Issue
- 4
- Pages
- 640-650
- ISSN
- 1097-2765 (ISSN-L)
- OpenAlex
- W2946217053
- Cited by
- 1,931
- References
- 18
- FWCI
- 61.37
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Where, When, and How: Context-Dependent Functions of RNA Methylation Writers, Readers, and Erasers. https://app.cochat.ai/papers/10.1016/j.molcel.2019.04.025
- The paper
- Shi, H., Wei, J., & He, C. (2019). Where, When, and How: Context-Dependent Functions of RNA Methylation Writers, Readers, and Erasers. Molecular Cell. https://doi.org/10.1016/j.molcel.2019.04.025
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.