The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
Gene silencing by microRNAs: contributions of translational repression and mRNA decay
Abstract
Despite their widespread roles as regulators of gene expression, important questions remain about target regulation by microRNAs. Animal microRNAs were originally thought to repress target translation, with little or no influence on mRNA abundance, whereas the reverse was thought to be true in plants. Now, however, it is clear that microRNAs can induce mRNA degradation in animals and, conversely, translational repression in plants. Recent studies have made important advances in elucidating the relative contributions of these two different modes of target regulation by microRNAs. They have also shed light on the specific mechanisms of target silencing, which, although it differs fundamentally between plants and animals, shares some common features between the two kingdoms.
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“Most studies to date have shown that miRNAs bind to a specific sequence at the 3′ UTR of their target mRNAs to induce translational repression and mRNA deadenylation and decapping (40, 41).”
From Overview of MicroRNA Biogenesis, Mechanisms of Actions, and Circulation (2018) · cites this paper as [40]
Citations
Cites
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
(2008) · doi:10.1038/nrg2290 · Cited by 5,199
Origins and Mechanisms of miRNAs and siRNAs
Carthew, R. W., & Sontheimer, E. J. (2009) · Cell · doi:10.1016/j.cell.2009.01.035 · Cited by 5,161
Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs
Lim, L. P., Lau, N. C., Garrett-Engele, P., Grimson, A., Schelter, J. M., Castle, J., Bartel, D. P., Linsley, P. S., & Johnson, J. M. (2005) · Nature · doi:10.1038/nature03315 · Cited by 4,755
The widespread regulation of microRNA biogenesis, function and decay
Krol, J., Loedige, I., & Filipowicz, W. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2843 · Cited by 4,672
Silencing of microRNAs in vivo with ‘antagomirs’
Krützfeldt, J., Rajewsky, N., Braich, R., Rajeev, K. G., Tuschl, T., Manoharan, M., & Stoffel, M. (2005) · Nature · doi:10.1038/nature04303 · Cited by 3,949
Mammalian microRNAs predominantly act to decrease target mRNA levels
Guo, H., Ingolia, N. T., Weissman, J. S., & Bartel, D. P. (2010) · Nature · doi:10.1038/nature09267 · Cited by 3,886
Genome-Wide Analysis in Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling
Ingolia, N. T., Ghaemmaghami, S., Newman, J. R. S., & Weissman, J. S. (2009) · Science · doi:10.1126/science.1168978 · Cited by 3,853
The impact of microRNAs on protein output
Baek, D., Villén, J., Shin, C., Camargo, F. D., Gygi, S. P., & Bartel, D. P. (2008) · Nature · doi:10.1038/nature07242 · Cited by 3,592
Widespread changes in protein synthesis induced by microRNAs
Selbach, M., Schwanhäusser, B., Thierfelder, N., Fang, Z., Khanin, R., & Rajewsky, N. (2008) · Nature · doi:10.1038/nature07228 · Cited by 3,429
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MicroRNAs as Potential Biomarkers in Gynecological Cancers
Miśkiewicz, J., Mielczarek‐Palacz, A., & Gola, J. M. (2023) · Biomedicines · doi:10.3390/biomedicines11061704 · Cited by 29
Hippocampal MicroRNAs Respond to Administration of Antidepressant Fluoxetine in Adult Mice
Miao, N., Jin, J., Kim, S.-N., & Sun, T. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19030671 · Cited by 19
Dissecting miRNA gene repression on single cell level with an advanced fluorescent reporter system
Lemus-Diaz, N., Böker, K. O., Rodriguez-Polo, I., Mitter, M., Preis, J., Arlt, M., & Gruber, J. (2017) · Scientific Reports · doi:10.1038/srep45197 · Cited by 18
Fluoxetine Increases the Expression of miR-572 and miR-663a in Human Neuroblastoma Cell Lines
Mundalil Vasu, M., Anitha, A., Takahashi, T., Thanseem, I., Iwata, K., Asakawa, T., & Suzuki, K. (2016) · PLOS ONE · doi:10.1371/journal.pone.0164425 · Cited by 17
MicroRNA Profiling in Aging Brain of PSEN1/PSEN2 Double Knockout Mice
Ham, S., Kim, T. K., Lee, S., Tang, Y.-P., & Im, H.-I. (2018) · Molecular Neurobiology · doi:10.1007/s12035-017-0753-6 · Cited by 12
Metadata
- Authors
- Huntzinger, E., & Izaurralde, E.
- Affiliations
- Max Planck Institute for Developmental Biology (DE)
- Max Planck Society (DE)
- Corresponding author
- Izaurralde, Elisa
- Venue
- Nature Reviews Genetics
- Published
- 2011-01-18
- Volume
- 12
- Issue
- 2
- Pages
- 99-110
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2010461414
- Cited by
- 2,339
- References
- 86
- Citations by year
- 2026: 60 · 2025: 100 · 2024: 98 · 2023: 118 · 2022: 140 · 2021: 158 · 2020: 144 · 2019: 141 · 2018: 145 · 2017: 178 · 2016: 170 · 2015: 189 · 2014: 210 · 2013: 195 · 2012: 199
- FWCI
- 16.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- Funders
- Ministry of Economy, Trade and Industry
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Keywords
- microRNA, gene silencing, protein synthesis inhibition, mRNA degradation, post-transcriptional regulation, microRNA target regulation, plant microRNAs
- MeSH terms
- Animals, Humans, Models, Genetic, Protein Biosynthesis, Gene Silencing, RNA Stability, MicroRNAs
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