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Fine-Tuning of RNA Functions by Modification and Editing
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Cited by
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
ALKBH5 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
“In mammals, each mRNA contains, on average, 3–5 m6A modifications within a consensus sequence previously revealed as Pu[G > A]m6AC[A/C/U] (Bodi et al., 2010; Dominissini et al., 2012; Bokar, 2005; Harper et al., 1990; Meyer et al., 2012); experimental results indicate that only a portion of the putative methylation co…”
InfluentialN6-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
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
N6-methyladenosine-dependent RNA structural switches regulate RNA–protein interactions
Liu, N., Dai, Q., Zheng, G., He, C., Parisien, M., & Pan, T. (2015) · Nature · doi:10.1038/nature14234 · Cited by 1,988
Non-coding RNAs: lessons from the small nuclear and small nucleolar RNAs
Matera, A. G., Terns, R. M., & Terns, M. P. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2124 · Cited by 877
Dominissini, D., Moshitch-Moshkovitz, S., Salmon-Divon, M., Amariglio, N., & Rechavi, G. (2013) · Nature Protocols · doi:10.1038/nprot.2012.148 · Cited by 710
Anderson, B. R., Muramatsu, H., Jha, B. K., Silverman, R. H., Weissman, D., & Kariko, K. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr586 · Cited by 356
Zou, S., Toh, J. D. W., Wong, K. H. Q., Gao, Y.-G., Hong, W., & Woon, E. C. Y. (2016) · Scientific Reports · doi:10.1038/srep25677 · Cited by 158
Post-transcriptional pseudouridylation in mRNA as well as in some major types of noncoding RNAs
Adachi, H., De Zoysa, M. D., & Yu, Y.-T. (2019) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2018.11.002 · Cited by 60
Metadata
- Venue
- Topics in Current Genetics
- Publisher
- Springer Berlin Heidelberg
- Published
- 2005
- ISSN
- 1610-2096 (ISSN-L)
- 1610-6970
- OpenAlex
- W612105593
- Cited by
- 289
- References
- 0
- FWCI
- 7.61
- Type
- book
- Language
- en
- Open access
- closed
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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.
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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.