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Multi-species integration of miRNA binding site data to improve target prediction accuracy for synaptic miRNAs

Research output: Contribution to conferencePoster

Original languageEnglish
Publication statusPublished - 23 Jul 2015
Event23rd Annual International Conference on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology 2015 - Convention Centre Dublin, Dublin, Ireland
Duration: 10 Jul 201414 Jul 2014

Conference

Conference23rd Annual International Conference on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology 2015
CountryIreland
CityDublin
Period10/07/1414/07/14

Abstract

Micro-RNAs (miRNA) are thought to play an important role in the modulation of synaptic strength during activity dependent synaptic plasticity by regulating protein synthesis. Identifying the target mRNAs of the miRNAs involved is a crucial part of understanding how this regulation takes place, but is confounded by the small size and sequence variability of miRNA binding sites (typically as few as 6-8 nucleotides). Recent studies have attempted to improve the identification of miRNA targets by isolating miRNAs and their mRNA targets as part of the RISC complex using antibodies raised against the Arg2 protein in both human and mice and sequencing the resulting RNA pools. We used data produced by this technique, in addition to other cross-species information, to produce a classification procedure for improving microRNA target prediction in the rat.

ID: 31907560