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Computational meta-analysis of ribosomal RNA fragments: potential targets and interaction mechanisms
The most abundant cellular RNA species, ribosomal RNA (rRNA), appears to be a source of massive amounts of non-randomly generated fragments. We found rRNA fragments (rRFs) in immunoprecipitated Argonaute (Ago-IP) complexes in human and mouse cells and in small RNA sequencing datasets. In human Ago1-...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8053083/ https://www.ncbi.nlm.nih.gov/pubmed/33772581 http://dx.doi.org/10.1093/nar/gkab190 |
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author | Guan, Lingyu Grigoriev, Andrey |
author_facet | Guan, Lingyu Grigoriev, Andrey |
author_sort | Guan, Lingyu |
collection | PubMed |
description | The most abundant cellular RNA species, ribosomal RNA (rRNA), appears to be a source of massive amounts of non-randomly generated fragments. We found rRNA fragments (rRFs) in immunoprecipitated Argonaute (Ago-IP) complexes in human and mouse cells and in small RNA sequencing datasets. In human Ago1-IP, guanine-rich rRFs were preferentially cut in single-stranded regions of mature rRNAs between pyrimidines and adenosine, and non-randomly paired with cellular transcripts in crosslinked chimeras. Numerous identical rRFs were found in the cytoplasm and nucleus in mouse Ago2-IP. We report specific interaction motifs enriched in rRF-target pairs. Locations of such motifs on rRFs were compatible with the Ago structural features and patterns of the Ago-RNA crosslinking in both species. Strikingly, many of these motifs may bind to double-stranded regions on target RNAs, suggesting a potential pathway for regulating translation by unwinding mRNAs. Occurring on either end of rRFs and matching intronic, untranslated or coding regions in targets, such interaction sites extend the concept of microRNA seed regions. Targeting both borders of certain short introns, rRFs may be involved in their biogenesis or function, facilitated by Ago. Frequently dismissed as noise, rRFs are poised to greatly enrich the known functional spectrum of small RNA regulation. |
format | Online Article Text |
id | pubmed-8053083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-80530832021-04-21 Computational meta-analysis of ribosomal RNA fragments: potential targets and interaction mechanisms Guan, Lingyu Grigoriev, Andrey Nucleic Acids Res RNA and RNA-protein complexes The most abundant cellular RNA species, ribosomal RNA (rRNA), appears to be a source of massive amounts of non-randomly generated fragments. We found rRNA fragments (rRFs) in immunoprecipitated Argonaute (Ago-IP) complexes in human and mouse cells and in small RNA sequencing datasets. In human Ago1-IP, guanine-rich rRFs were preferentially cut in single-stranded regions of mature rRNAs between pyrimidines and adenosine, and non-randomly paired with cellular transcripts in crosslinked chimeras. Numerous identical rRFs were found in the cytoplasm and nucleus in mouse Ago2-IP. We report specific interaction motifs enriched in rRF-target pairs. Locations of such motifs on rRFs were compatible with the Ago structural features and patterns of the Ago-RNA crosslinking in both species. Strikingly, many of these motifs may bind to double-stranded regions on target RNAs, suggesting a potential pathway for regulating translation by unwinding mRNAs. Occurring on either end of rRFs and matching intronic, untranslated or coding regions in targets, such interaction sites extend the concept of microRNA seed regions. Targeting both borders of certain short introns, rRFs may be involved in their biogenesis or function, facilitated by Ago. Frequently dismissed as noise, rRFs are poised to greatly enrich the known functional spectrum of small RNA regulation. Oxford University Press 2021-03-27 /pmc/articles/PMC8053083/ /pubmed/33772581 http://dx.doi.org/10.1093/nar/gkab190 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | RNA and RNA-protein complexes Guan, Lingyu Grigoriev, Andrey Computational meta-analysis of ribosomal RNA fragments: potential targets and interaction mechanisms |
title | Computational meta-analysis of ribosomal RNA fragments: potential targets and interaction mechanisms |
title_full | Computational meta-analysis of ribosomal RNA fragments: potential targets and interaction mechanisms |
title_fullStr | Computational meta-analysis of ribosomal RNA fragments: potential targets and interaction mechanisms |
title_full_unstemmed | Computational meta-analysis of ribosomal RNA fragments: potential targets and interaction mechanisms |
title_short | Computational meta-analysis of ribosomal RNA fragments: potential targets and interaction mechanisms |
title_sort | computational meta-analysis of ribosomal rna fragments: potential targets and interaction mechanisms |
topic | RNA and RNA-protein complexes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8053083/ https://www.ncbi.nlm.nih.gov/pubmed/33772581 http://dx.doi.org/10.1093/nar/gkab190 |
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