2012
DOI: 10.1016/j.gpb.2012.09.003
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Finding MicroRNA Targets in Plants: Current Status and Perspectives

Abstract: MicroRNAs (miRNAs), a class of ∼20–24 nt long non-coding RNAs, have critical roles in diverse biological processes including development, proliferation, stress response, etc. With the development and availability of experimental technologies and computational approaches, the field of miRNA biology has advanced tremendously over the last decade. By sequence complementarity, miRNAs have been estimated to regulate certain mRNA transcripts. Although it was once thought to be simple and straightforward to find plan… Show more

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Cited by 51 publications
(33 citation statements)
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References 133 publications
(153 reference statements)
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“…These particular tools were tailored to predict miRNA targets in plants based on specific plant miRNA–target pairing (Ding et al . ). Experimental approaches such as Northern blot and RT‐qPCR were used to validate and quantify the expression of predicted miRNA targets.…”
Section: Potential Mirna Function In Fruit Treesmentioning
confidence: 97%
“…These particular tools were tailored to predict miRNA targets in plants based on specific plant miRNA–target pairing (Ding et al . ). Experimental approaches such as Northern blot and RT‐qPCR were used to validate and quantify the expression of predicted miRNA targets.…”
Section: Potential Mirna Function In Fruit Treesmentioning
confidence: 97%
“…Plant miRNAs are approximately 21 nt-long small regulatory RNAs that are derived from the processing of longer primary miRNA transcripts [115,116]. miRNAs recognize their mRNA targets based on imperfect sequence complementation.…”
Section: Post-transcriptional Regulationmentioning
confidence: 99%
“…These include Targetscan, miRanda, DIANAmicroT, PicTAR, whose predictions were integrated into the miRBase, the central annotation database for miRNAs (Kozomara and Griffiths-Jones, 2014) and were also repeatedly evaluated in benchmark studies Ding et al, 2012a;Majoros et al, 2013;Peterson et al, 2014;Xu et al, 2014a). We add to these also MIRZA as it is one of the most recent algorithms, which in many aspects outperforms the other ones (Gumienny and Zavolan, 2015).…”
Section: Common Target Prediction Toolsmentioning
confidence: 99%