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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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Autores principales: Guan, Lingyu, Grigoriev, Andrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
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.
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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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