2014
DOI: 10.1093/nar/gku1215
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DIANA-TarBase v7.0: indexing more than half a million experimentally supported miRNA:mRNA interactions

Abstract: microRNAs (miRNAs) are short non-coding RNA species, which act as potent gene expression regulators. Accurate identification of miRNA targets is crucial to understanding their function. Currently, hundreds of thousands of miRNA:gene interactions have been experimentally identified. However, this wealth of information is fragmented and hidden in thousands of manuscripts and raw next-generation sequencing data sets. DIANA-TarBase was initially released in 2006 and it was the first database aiming to catalog publ… Show more

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Cited by 698 publications
(579 citation statements)
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References 30 publications
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“…P<0.05 was considered to indicate a statistically significant difference. DIANA-TarBase v7.0 and DIANA-miRPath v3.0 bioinformatic tools were used to identify overlapped target genes of the miRNAs of interest (14,15).…”
Section: Methodsmentioning
confidence: 99%
“…P<0.05 was considered to indicate a statistically significant difference. DIANA-TarBase v7.0 and DIANA-miRPath v3.0 bioinformatic tools were used to identify overlapped target genes of the miRNAs of interest (14,15).…”
Section: Methodsmentioning
confidence: 99%
“…To obtain biological interpretation from altered miRNAs, target mRNAs were obtained from the experimentally-derived mRNA target (Vlachos et al, 2015). First, to allow a more reliable biological interpretation (avoiding false positive findings), a foldchange threshold was included (Mestdagh et al, 2009): only the differentially expressed miRNAs with log2 fold-changes exceeding 0.33 (those with at least 1.25 fold-changes, in addition to the statistical significance) were included in the analysis.…”
Section: Mirna Analysismentioning
confidence: 99%
“…We used the target gene prediction software DIANATarBase (14), Targetscan (http://www.targetscan.org) and PicTar (http://pictar.mdc-berlin.de/) to forecast several potential target genes of miR-181a.…”
Section: Quantitative Rt-pcr (Qrt-pcr)mentioning
confidence: 99%