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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

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