Please use this identifier to cite or link to this item: doi:10.22028/D291-30352
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Title: An estimate of the total number of true human miRNAs
Author(s): Alles, Julia
Fehlmann, Tobias
Fischer, Ulrike
Backes, Christina
Galata, Valentina
Minet, Marie
Hart, Martin
Abu-Halima, Masood
Grässer, Friedrich A.
Lenhof, Hans-Peter
Keller, Andreas
Meese, Eckart
Language: English
Title: Nucleic acids research
Volume: 47
Issue: 7
Startpage: 3353
Endpage: 3364
Publisher/Platform: Oxford University Press
Year of Publication: 2019
Publikation type: Journal Article
Abstract: While the number of human miRNA candidates continuously increases, only a few of them are completely characterized and experimentally validated. Toward determining the total number of true miRNAs, we employed a combined in silico high- and experimental low-throughput validation strategy. We collected 28 866 human small RNA sequencing data sets containing 363.7 billion sequencing reads and excluded falsely annotated and low quality data. Our high-throughput analysis identified 65% of 24 127 mature miRNA candidates as likely false-positives. Using northern blotting, we experimentally validated miRBase entries and novel miRNA candidates. By exogenous overexpression of 108 precursors that encode 205 mature miRNAs, we confirmed 68.5% of the miRBase entries with the confirmation rate going up to 94.4% for the high-confidence entries and 18.3% of the novel miRNA candidates. Analyzing endogenous miRNAs, we verified the expression of 8 miRNAs in 12 different human cell lines. In total, we extrapolated 2300 true human mature miRNAs, 1115 of which are currently annotated in miRBase V22. The experimentally validated miRNAs will contribute to revising targetomes hypothesized by utilizing falsely annotated miRNAs.
DOI of the first publication: 10.1093/nar/gkz097
URL of the first publication: https://academic.oup.com/nar/article/47/7/3353/5366472
Link to this record: hdl:20.500.11880/28782
http://dx.doi.org/10.22028/D291-30352
ISSN: 1362-4962
0305-1048
1362-4954
Date of registration: 25-Feb-2020
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Hans-Peter Lenhof
Collections:UniBib – Die Universitätsbibliographie

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