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-convey- ing 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 dere- pression 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 mol- ecules the extra noise coming from titration disappears, allowing the miRNA-channel to pro- cess 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 spe- cific situations in which each of these functionalities is maximized.
Probing the Limits to MicroRNA-Mediated Control of Gene Expression / Martirosyan, Araks; Figliuzzi, Matteo; Marinari, Vincenzo; DE MARTINO, Andrea. - In: PLOS COMPUTATIONAL BIOLOGY. - ISSN 1553-7358. - ELETTRONICO. - 12:1(2016).
|Titolo:||Probing the Limits to MicroRNA-Mediated Control of Gene Expression|
|Data di pubblicazione:||2016|
|Citazione:||Probing the Limits to MicroRNA-Mediated Control of Gene Expression / Martirosyan, Araks; Figliuzzi, Matteo; Marinari, Vincenzo; DE MARTINO, Andrea. - In: PLOS COMPUTATIONAL BIOLOGY. - ISSN 1553-7358. - ELETTRONICO. - 12:1(2016).|
|Appartiene alla tipologia:||01a Articolo in rivista|