The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Redirection of Silencing Targets by Adenosine-to-Inosine Editing of miRNAs
Abstract
Primary transcripts of certain microRNA (miRNA) genes are subject to RNA editing that converts adenosine to inosine. However, the importance of miRNA editing remains largely undetermined. Here we report that tissue-specific adenosine-to-inosine editing of miR-376 cluster transcripts leads to predominant expression of edited miR-376 isoform RNAs. One highly edited site is positioned in the middle of the 5′-proximal half “seed” region critical for the hybridization of miRNAs to targets. We provide evidence that the edited miR-376 RNA silences specifically a different set of genes. Repression of phosphoribosyl pyrophosphate synthetase 1, a target of the edited miR-376 RNA and an enzyme involved in the uric-acid synthesis pathway, contributes to tight and tissue-specific regulation of uric-acid levels, revealing a previously unknown role for RNA editing in miRNA-mediated gene silencing.
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High-throughput sequencing permits detection of dominant mature miRNA species and sequence variations such as 5′ nucleotide additions and RNA editing.
“In contrast to microarrays and RT-PCR arrays, high-throughput sequencing permits the detection of not only the dominant mature miRNA species (i.e. 5p versus 3p) but also potentially important sequence variations that may occur, such as 5′ nucleotide additions, which affect seed-based targeting, and RNA editing, which alters the targeting capacity of the mature miRNA [24]–[27].”
From Reduced Expression of Brain-Enriched microRNAs in Glioblastomas Permits Targeted Regulation of a Cell Death Gene (2011) · cites this paper as [25]
A to I editing and 5′ end polymorphisms could have dramatic consequences on mRNA targeting.
“which could have dramatic consequences on mRNA targeting [25], [27].”
From Reduced Expression of Brain-Enriched microRNAs in Glioblastomas Permits Targeted Regulation of a Cell Death Gene (2011) · cites this paper as [25]
A to I conversions can influence loading of miRNAs into RISC and alter targeting capacity, especially if editing occurs within the miRNA seed region.
“A to I conversions can influence loading of miRNAs into RISC [34] and also alter the targeting capacity of a miRNA, especially if the editing occurs within the miRNA seed region [24], [25].”
From Reduced Expression of Brain-Enriched microRNAs in Glioblastomas Permits Targeted Regulation of a Cell Death Gene (2011) · cites this paper as [25]
A single A to I conversion in the seed of miR-376a-5p redirects the edited miRNA to a new set of mRNA targets.
“A single A to I conversion in the seed of miR-376a-5p, for example, redirects the edited miRNA to a new set of mRNA targets [25].”
From Reduced Expression of Brain-Enriched microRNAs in Glioblastomas Permits Targeted Regulation of a Cell Death Gene (2011) · cites this paper as [25]
Citations
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Research works printed but not linked: 18
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- 10.1242/dev.02070 · DOI
- 10.1016/j.gde.2005.12.005 · DOI
- 10.1038/nrg1379 · DOI · Paper page
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- 10.1186/gb-2006-7-4-r27 · DOI
- 10.1261/rna.7350304 · DOI
- 10.1038/nsmb1041 · DOI
- 10.1101/gr.2743304 · DOI · Paper page
- 10.1146/annurev.biochem.71.110601.135501 · DOI
- 10.1038/nrm2061 · DOI
- 10.1016/S0168-9525(00)02169-7 · DOI
- 10.1016/S0896-6273(02)00760-2 · DOI
- 10.1038/35017558 · DOI · Paper page
- 10.1074/jbc.M311347200 · DOI
- 10.1074/jbc.M310162200 · DOI
- 10.1074/jbc.274.11.7482 · DOI
- 10.1038/nmeth746 · DOI
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Metadata
- Authors
- Kawahara, Y., Zinshteyn, B., Sethupathy, P., Iizasa, H., Hatzigeorgiou, A. G., & Nishikura, K.
- Affiliations
- The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA.
- Venue
- Science
- Published
- 2007-02-23
- Volume
- 315
- Issue
- 5815
- Pages
- 1137-1140
- ISSN
- 0036-8075
- 1095-9203
- Cited by
- 712
- References
- 1
- Language
- en
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