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Coupling mRNA processing with transcription in time and space
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Maturation of mRNA precursors often occurs simultaneously with their synthesis by RNA polymerase II (Pol II). The co-transcriptional nature of mRNA processing has permitted the evolution of coupling mechanisms that coordinate transcription with mRNA capping, splicing, editing and 3' end formation. Recent experiments using sophisticated new methods for analysis of nascent RNA have provided important insights into the relative amount of co-transcriptional and post-transcriptional processing, the relationship between mRNA elongation and processing, and the role of the Pol II carboxy-terminal domain (CTD) in regulating these processes.
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“In addition, these different pre‐mRNA processing steps are functionally coupled to transcription. Indeed, all these steps are initiated co‐transcriptionally, thereby allowing the connection of transcription with mRNA maturation in time and space (Bentley, 2014).”
From RNA polymerase II speed: a key player in controlling and adapting transcriptome composition (2021) · cites this paper as Bentley, 2014
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Cites
Expansion of the eukaryotic proteome by alternative splicing
Nilsen, T. W., & Graveley, B. R. (2010) · Nature · doi:10.1038/nature08909 · Cited by 2,270
Nascent RNA Sequencing Reveals Widespread Pausing and Divergent Initiation at Human Promoters
Core, L. J., Waterfall, J. J., & Lis, J. T. (2008) · Science · doi:10.1126/science.1162228 · Cited by 1,986
Mayr, C., & Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.06.016 · Cited by 1,613
Structural Basis of Transcription: RNA Polymerase II at 2.8 Ångstrom Resolution
Cramer, P., Bushnell, D. A., & Kornberg, R. D. (2001) · Science · doi:10.1126/science.1059493 · Cited by 1,247
Regulation of Alternative Splicing by Histone Modifications
Luco, R. F., Pan, Q., Tominaga, K., Blencowe, B. J., Pereira‐Smith, O. M., & Misteli, T. (2010) · Science · doi:10.1126/science.1184208 · Cited by 1,099
Komarnitsky, P. B., Cho, E., & Buratowski, S. (2000) · Genes & Development · doi:10.1101/gad.824700 · Cited by 1,098
R Loops: From Transcription Byproducts to Threats to Genome Stability
Aguilera, A., & García‐Muse, T. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.04.009 · Cited by 1,029
DNA sequence required for efficient transcription termination in yeast
Zaret, K. S., & Sherman, F. (1982) · Cell · doi:10.1016/0092-8674(82)90211-2 · Cited by 988
CTCF-promoted RNA polymerase II pausing links DNA methylation to splicing
Shukla, S., Kavak, E., Gregory, M., Imashimizu, M., Shutinoski, B., Kashlev, M., Oberdoerffer, P., Sandberg, R., & Oberdoerffer, S. (2011) · Nature · doi:10.1038/nature10442 · Cited by 973
The C-terminal domain of RNA polymerase II couples mRNA processing to transcription
McCracken, S. A., Fong, N., Yankulov, K., Ballantyne, S. M., Pan, G., Greenblatt, J., Patterson, S. D., Wickens, M., & Bentley, D. L. (1997) · Nature · doi:10.1038/385357a0 · Cited by 925
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Dodd, T. (2022) · Digital Archive @ GSU · doi:10.57709/20345880
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Palfini, L. M., Maisner, R., Gunning, T. S., Lin, M. M., & Kress, T. L. (2019) · The FASEB Journal · doi:10.1096/fasebj.2019.33.1_supplement.459.13
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Ivanov, P. V. (2021) · Biochemistry (Moscow) · doi:10.31857/s0320972521090025
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Metadata
- Authors
- Bentley, D. L.
- Affiliations
- University of Colorado Anschutz (US)
- Corresponding author
- Bentley, David L.
- ORCID
- Bentley, David L.
- Venue
- Nature Reviews Genetics
- Published
- 2014-02-11
- Volume
- 15
- Issue
- 3
- Pages
- 163-175
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- PMC
- PMC4304646
- OpenAlex
- W2040410152
- Cited by
- 828
- References
- 188
- Citations by year
- 2026: 47 · 2025: 49 · 2024: 53 · 2023: 64 · 2022: 68 · 2021: 77 · 2020: 90 · 2019: 88 · 2018: 64 · 2017: 74 · 2016: 73 · 2015: 57 · 2014: 24
- FWCI
- 7.16
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Cancer Research UK
- National Institutes of Health
- National Institute of General Medical Sciences (GM58163, R01GM058613, GM 063873, R01GM063873)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Keywords
- post-transcriptional processing, RNA polymerase II, C-terminal domain, mRNA capping, mRNA splicing, RNA editing, 3' end formation, nascent RNA
- MeSH terms
- RNA Caps, RNA Polymerase II, RNA Splicing, RNA, Messenger, Transcription, Genetic
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