Please use this identifier to cite or link to this item:Volltext verfügbar? / Dokumentlieferung
|Title:||An estimate of the total number of true human miRNAs|
Grässer, Friedrich A.
|Title:||Nucleic acids research|
|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|
|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|
Files for this record:
There are no files associated with this item.
Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.