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miRNAs confer phenotypic robustness to gene networks by suppressing biological noise

V. Siciliano,Immacolata Garzilli,Chiara Fracassi,S. Criscuolo,Simona Ventre,D. di Bernardo

Published 2013 in Nature Communications

ABSTRACT

miRNAs are small non-coding RNAs able to modulate target gene expression. It has been postulated that miRNAs confer robustness to biological processes, but clear experimental evidence is still missing. Here, using a synthetic biological approach, we demonstrate that microRNAs provide phenotypic robustness to transcriptional regulatory networks by buffering fluctuations in protein levels. We construct a network motif in mammalian cells exhibiting a ‘toggle-switch’ phenotype in which two alternative protein expression levels define its ON and OFF states. The motif consists of an inducible transcription factor that self-regulates its own transcription and that of a miRNA against the transcription factor itself. We confirm, using mathematical modelling and experimental approaches, that the microRNA confers robustness to the toggle-switch by enabling the cell to maintain and transmit its state. When absent, a dramatic increase in protein noise level occurs, causing the cell to randomly switch between the two states. MicroRNAs are thought to confer robustness to biological processes, but clear experimental evidence is still needed. Here, Siciliano et al. construct a toggle-switch in mammalian cells to show that microRNAs buffer fluctuations in protein levels, thereby providing phenotypic robustness to gene regulatory networks.

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