The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
The U6 snRNA m 6 A Methyltransferase METTL16 Regulates SAM Synthetase Intron Retention
Open accessAbstract
SUMMARY Maintenance of proper levels of the methyl donor S-adenosylmethionine (SAM) is critical for a wide variety of biological processes. We demonstrate that the N6-adenosine methyltransferase METTL16 regulates expression of human MAT2A, which encodes the SAM synthetase expressed in most cells. Upon SAM depletion by methionine starvation, cells induce MAT2A expression by enhanced splicing of a retained intron. Induction requires METTL16 and its methylation substrate, a vertebrate conserved hairpin (hp1) in the MAT2A 3´ UTR. Increasing METTL16 occupancy on the MAT2A 3´ UTR is sufficient to induce efficient splicing. We propose that under SAM-limiting conditions, METTL16 occupancy on hp1 increases due to inefficient enzymatic turnover, which promotes MAT2A splicing. We further show that METTL16 is the long-unknown methyltransferase for the U6 spliceosomal snRNA. These observations suggest that the conserved U6 snRNA methyltransferase evolved an additional function in vertebrates to regulate SAM homeostasis.
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Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
Genome engineering using the CRISPR-Cas9 system
Ran, F. A., Hsu, P. D., Wright, J., Agarwala, V., Scott, D. A., & Zhang, F. (2013) · Nature Protocols · doi:10.1038/nprot.2013.143 · Cited by 11,133
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
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
Nuclear 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
m6A 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
Identification and characterization of essential genes in the human genome
Wang, T., Birsoy, K., Hughes, N. W., Krupczak, K. M., Post, Y., Wei, J. J., Lander, E. S., & Sabatini, D. M. (2015) · Science · doi:10.1126/science.aac7041 · Cited by 1,617
Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome
Linder, B., Grozhik, A. V., Olarerin-George, A. O., Meydan, C., Mason, C. E., & Jaffrey, S. R. (2015) · Nature Methods · doi:10.1038/nmeth.3453 · Cited by 1,569
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Alarcón, C. R., Goodarzi, H., Lee, H., Liu, X., Tavazoie, S., & Tavazoie, S. F. (2015) · Cell · doi:10.1016/j.cell.2015.08.011 · Cited by 1,514
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Zaccara, S., Ries, R. J., & Jaffrey, S. R. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0168-5 · Cited by 2,597
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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
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Tong, J., Flavell, R. A., & Li, H.-B. (2018) · Frontiers of Medicine · doi:10.1007/s11684-018-0654-8 · Cited by 233
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Yang, C., Hu, Y., Zhou, B., Bao, Y., Li, Z., Gong, C., Yang, H., Wang, S., & Xiao, Y. (2020) · Cell Death & Disease · doi:10.1038/s41419-020-03143-z · Cited by 200
Physical Exercise Prevented Stress‐Induced Anxiety via Improving Brain RNA Methylation
Yan, L., Wei, J., Yang, F., Wang, M., Wang, S., Cheng, T., Liu, X., Jia, Y., So, K., & Zhang, L. (2022) · Advanced Science · doi:10.1002/advs.202105731 · Cited by 83
Baek, A., Lee, G.-E., Golconda, S., Rayhan, A., Manganaris, A. A., Chen, S., Tirumuru, N., Yu, H., Kim, S., Kimmel, C., et al. (2024) · Nature Microbiology · doi:10.1038/s41564-024-01638-5 · Cited by 52
Reading the m6A-encoded epitranscriptomic information in development and diseases
Chen, Y., Zhou, Z., Chen, Y., & Chen, D. (2024) · Cell & Bioscience · doi:10.1186/s13578-024-01293-7 · Cited by 24
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Di Stefano, L. (2022) · Cells · doi:10.3390/cells11162501 · Cited by 18
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Massignani, E., Giambruno, R., Maniaci, M., Nicosia, L., Yadav, A., Cuomo, A., Raimondi, F., & Bonaldi, T. (2022) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2022.100243 · Cited by 9
SUPREM: an engineered non-site-specific m6A RNA methyltransferase with highly improved efficiency
Ochiai, Y., Clifton, B. E., Le Coz, M., Terenzio, M., & Laurino, P. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae887 · Cited by 9
Metadata
- Authors
- Pendleton, K. E., Chen, B., Liu, K., Hunter, O. V., Xie, Y., Tu, B. P., & Conrad, N. K.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2017-05
- Volume
- 169
- Issue
- 5
- Pages
- 824-835.e14
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2616848081
- Cited by
- 1,085
- References
- 11
- FWCI
- 24.46
- Type
- journal article
- Language
- en
- Open access
- bronze
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