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doi:10.22028/D291-36010
Titel: | A mouse tissue atlas of small noncoding RNA |
VerfasserIn: | Isakova, Alina Fehlmann, Tobias Keller, Andreas Quake, Stephen R. |
Sprache: | Englisch |
Titel: | Proceedings of the National Academy of Sciences of the United States of America |
Bandnummer: | 117 |
Heft: | 41 |
Seiten: | 25634-25645 |
Verlag/Plattform: | National Academy of Sciences |
Erscheinungsjahr: | 2020 |
DDC-Sachgruppe: | 610 Medizin, Gesundheit |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | Small noncoding RNAs (ncRNAs) play a vital role in a broad range of biological processes both in health and disease. A comprehensive quantitative reference of small ncRNA expression would significantly advance our understanding of ncRNA roles in shaping tissue functions. Here, we systematically profiled the levels of five ncRNA classes (microRNA [miRNA], small nucleolar RNA [snoRNA], small nuclear RNA [snRNA], small Cajal body-specific RNA [scaRNA], and transfer RNA [tRNA] fragments) across 11 mouse tissues by deep sequencing. Using 14 biological replicates spanning both sexes, we identified that ∼30% of small ncRNAs are distributed across the body in a tissue-specific manner with some also being sexually dimorphic. We found that some miRNAs are subject to “arm switching” between healthy tissues and that tRNA fragments are retained within tissues in both a gene- and a tissue-specific manner. Out of 11 profiled tissues, we confirmed that brain contains the largest number of unique small ncRNA transcripts, some of which were previously annotated while others are identified in this study. Furthermore, by combining these findings with single-cell chromatin accessibility (scATAC-seq) data, we were able to connect identified brain-specific ncRNAs with their cell types of origin. These results yield the most comprehensive characterization of specific and ubiquitous small RNAs in individual murine tissues to date, and we expect that these data will be a resource for the further identification of ncRNAs involved in tissue function in health and dysfunction in disease. |
DOI der Erstveröffentlichung: | 10.1073/pnas.2002277117 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-360100 hdl:20.500.11880/32805 http://dx.doi.org/10.22028/D291-36010 |
ISSN: | 1091-6490 0027-8424 |
Datum des Eintrags: | 19-Apr-2022 |
Bezeichnung des in Beziehung stehenden Objekts: | Supporting Information |
In Beziehung stehendes Objekt: | https://www.pnas.org/doi/suppl/10.1073/pnas.2002277117/suppl_file/pnas.2002277117.sapp.pdf https://www.pnas.org/doi/suppl/10.1073/pnas.2002277117/suppl_file/pnas.2002277117.sd01.xlsx https://www.pnas.org/doi/suppl/10.1073/pnas.2002277117/suppl_file/pnas.2002277117.sd02.tsv https://www.pnas.org/doi/suppl/10.1073/pnas.2002277117/suppl_file/pnas.2002277117.sd03.txt https://www.pnas.org/doi/suppl/10.1073/pnas.2002277117/suppl_file/pnas.2002277117.sd04.xlsx https://www.pnas.org/doi/suppl/10.1073/pnas.2002277117/suppl_file/pnas.2002277117.sd05.xlsx https://www.pnas.org/doi/suppl/10.1073/pnas.2002277117/suppl_file/pnas.2002277117.sd06.xlsx https://www.pnas.org/doi/suppl/10.1073/pnas.2002277117/suppl_file/pnas.2002277117.sd07.txt https://www.pnas.org/doi/suppl/10.1073/pnas.2002277117/suppl_file/pnas.2002277117.sd08.xlsx |
Fakultät: | M - Medizinische Fakultät |
Fachrichtung: | M - Medizinische Biometrie, Epidemiologie und medizinische Informatik |
Professur: | M - Univ.-Prof. Dr. Andreas Keller |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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pnas.2002277117.pdf | 2,51 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons