2005
DOI: 10.1016/j.febslet.2005.09.040
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Prediction and validation of microRNAs and their targets

Abstract: MicroRNAs are short non-coding RNAs that inhibit translation of target genes by binding to their mRNAs, and have been shown to play a central role in gene regulation in health and disease. Sophisticated computer-based prediction approaches of microRNAs and of their targets, and effective biological validation techniques for validating these predictions, now play a central role in discovery of microRNAs and elucidating their functions.

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Cited by 325 publications
(239 citation statements)
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“…Under stringent conditions viz. the requirement of at least a 7-nt consecutive match to the first eight nucleotides at the 5¢ end of the miRNA (Bentwich 2005;Brennecke et al 2005), none of the analysed USS variants were found to disrupt or create binding sites for known human miRNAs. However, under more relaxed conditions, viz.…”
Section: Resultsmentioning
confidence: 89%
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“…Under stringent conditions viz. the requirement of at least a 7-nt consecutive match to the first eight nucleotides at the 5¢ end of the miRNA (Bentwich 2005;Brennecke et al 2005), none of the analysed USS variants were found to disrupt or create binding sites for known human miRNAs. However, under more relaxed conditions, viz.…”
Section: Resultsmentioning
confidence: 89%
“…Under fairly stringent conditions that required at least a 7-nt consecutive match to the first eight nucleotides at the 5¢ end of the miRNA (Bentwich 2005;Brennecke et al 2005), no variants were found that either disrupted or created binding sites for known human miRNAs. The 3¢ UTR of the HBB gene, which displays a 6-nt consecutive match with the seed region of hsa-miR-214, could potentially serve as a functional miRNA target.…”
Section: Discussionmentioning
confidence: 99%
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“…As is known, DNA repair after radiation is an important mechanism of radioresistance 33, 34. Considering that bioinformatic prediction has become a preferential method to explore the targets of miRNAs,35, 36 we chose potential targets from predicted ones involved in radioresistance and confirmed these targets by biochemical experiments.…”
Section: Discussionmentioning
confidence: 99%
“…Many algorithms, mainly based on complementarity of "seed regions" and conservation of 3′ UTRs, have been developed to predict miRNA targets [52][53][54]. High false-positive rates and different performances of each program [51,55,56] …”
Section: Decoding Mirna-target Interactionsmentioning
confidence: 99%