@ARTICLE{Martirosyan2016,
author={Martirosyan, A. and Figliuzzi, M. and Marinari, E. and De Martino, A.},
title={Probing the Limits to MicroRNA-Mediated Control of Gene Expression},
journal={PLoS Computational Biology},
year={2016},
volume={12},
number={1},
page_count={23},
doi={10.1371/journal.pcbi.1004715},
art_number={e1004715},
note={cited By 19},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84956818622&doi=10.1371%2fjournal.pcbi.1004715&partnerID=40&md5=14b7d14e4761776941bb29260bac713b},
abstract={According to the ‘ceRNA hypothesis’, microRNAs (miRNAs) may act as mediators of an effective positive interaction between long coding or non-coding RNA molecules, carrying significant potential implications for a variety of biological processes. Here, inspired by recent work providing a quantitative description of small regulatory elements as information-conveying channels, we characterize the effectiveness of miRNA-mediated regulation in terms of the optimal information flow achievable between modulator (transcription factors) and target nodes (long RNAs). Our findings show that, while a sufficiently large degree of target derepression is needed to activate miRNA-mediated transmission, (a) in case of differential mechanisms of complex processing and/or transcriptional capabilities, regulation by a post-transcriptional miRNA-channel can outperform that achieved through direct transcriptional control; moreover, (b) in the presence of large populations of weakly interacting miRNA molecules the extra noise coming from titration disappears, allowing the miRNA-channel to process information as effectively as the direct channel. These observations establish the limits of miRNA-mediated post-transcriptional cross-talk and suggest that, besides providing a degree of noise buffering, this type of control may be effectively employed in cells both as a failsafe mechanism and as a preferential fine tuner of gene expression, pointing to the specific situations in which each of these functionalities is maximized. © 2016 Martirosyan et al.},
publisher={Public Library of Science},
issn={1553734X},
pubmed_id={26812364},
document_type={Article},
source={Scopus},
}

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