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An estimate of the total number of true human miRNAs
- Source :
- Nucleic Acids Research
- Publication Year :
- 2019
- Publisher :
- Oxford University Press (OUP), 2019.
-
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.
- Subjects :
- Small RNA
Sequence analysis
In silico
Sequencing data
Datasets as Topic
Data Resources and Analyses
Computational biology
Biology
ENCODE
MiRBase
Cell Line
03 medical and health sciences
0302 clinical medicine
microRNA
RNA Precursors
Genetics
Humans
Computer Simulation
False Positive Reactions
030304 developmental biology
0303 health sciences
Sequence Analysis, RNA
Reproducibility of Results
Molecular Sequence Annotation
Human cell
Blotting, Northern
MicroRNAs
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 13624962 and 03051048
- Volume :
- 47
- Database :
- OpenAIRE
- Journal :
- Nucleic Acids Research
- Accession number :
- edsair.doi.dedup.....6cba79afbd4174b08c408909cc1ad36f