microRNA as a potential vector for the propagation of robustness in protein expression and oscillatory dynamics within a ceRNA network.

microRNAs (miRNAs) are small noncoding RNAs that are important post-transcriptional regulators of gene expression. miRNAs can induce thresholds in protein synthesis. Such thresholds in protein output can be also achieved by oligomerization of transcription factors (TF) for the control of gene expres...

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Autores principales: Claude Gérard, Béla Novák
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Publicado: Public Library of Science (PLoS) 2013
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spelling oai:doaj.org-article:0015c633767648ce9470a98ac7c728772021-11-18T08:40:36ZmicroRNA as a potential vector for the propagation of robustness in protein expression and oscillatory dynamics within a ceRNA network.1932-620310.1371/journal.pone.0083372https://doaj.org/article/0015c633767648ce9470a98ac7c728772013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24376695/?tool=EBIhttps://doaj.org/toc/1932-6203microRNAs (miRNAs) are small noncoding RNAs that are important post-transcriptional regulators of gene expression. miRNAs can induce thresholds in protein synthesis. Such thresholds in protein output can be also achieved by oligomerization of transcription factors (TF) for the control of gene expression. First, we propose a minimal model for protein expression regulated by miRNA and by oligomerization of TF. We show that miRNA and oligomerization of TF generate a buffer, which increases the robustness of protein output towards molecular noise as well as towards random variation of kinetics parameters. Next, we extend the model by considering that the same miRNA can bind to multiple messenger RNAs, which accounts for the dynamics of a minimal competing endogenous RNAs (ceRNAs) network. The model shows that, through common miRNA regulation, TF can control the expression of all proteins formed by the ceRNA network, even if it drives the expression of only one gene in the network. The model further suggests that the threshold in protein synthesis mediated by the oligomerization of TF can be propagated to the other genes, which can increase the robustness of the expression of all genes in such ceRNA network. Furthermore, we show that a miRNA could increase the time delay of a "Goodwin-like" oscillator model, which may favor the occurrence of oscillations of large amplitude. This result predicts important roles of miRNAs in the control of the molecular mechanisms leading to the emergence of biological rhythms. Moreover, a model for the latter oscillator embedded in a ceRNA network indicates that the oscillatory behavior can be propagated, via the shared miRNA, to all proteins formed by such ceRNA network. Thus, by means of computational models, we show that miRNAs could act as vectors allowing the propagation of robustness in protein synthesis as well as oscillatory behaviors within ceRNA networks.Claude GérardBéla NovákPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 12, p e83372 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Claude Gérard
Béla Novák
microRNA as a potential vector for the propagation of robustness in protein expression and oscillatory dynamics within a ceRNA network.
description microRNAs (miRNAs) are small noncoding RNAs that are important post-transcriptional regulators of gene expression. miRNAs can induce thresholds in protein synthesis. Such thresholds in protein output can be also achieved by oligomerization of transcription factors (TF) for the control of gene expression. First, we propose a minimal model for protein expression regulated by miRNA and by oligomerization of TF. We show that miRNA and oligomerization of TF generate a buffer, which increases the robustness of protein output towards molecular noise as well as towards random variation of kinetics parameters. Next, we extend the model by considering that the same miRNA can bind to multiple messenger RNAs, which accounts for the dynamics of a minimal competing endogenous RNAs (ceRNAs) network. The model shows that, through common miRNA regulation, TF can control the expression of all proteins formed by the ceRNA network, even if it drives the expression of only one gene in the network. The model further suggests that the threshold in protein synthesis mediated by the oligomerization of TF can be propagated to the other genes, which can increase the robustness of the expression of all genes in such ceRNA network. Furthermore, we show that a miRNA could increase the time delay of a "Goodwin-like" oscillator model, which may favor the occurrence of oscillations of large amplitude. This result predicts important roles of miRNAs in the control of the molecular mechanisms leading to the emergence of biological rhythms. Moreover, a model for the latter oscillator embedded in a ceRNA network indicates that the oscillatory behavior can be propagated, via the shared miRNA, to all proteins formed by such ceRNA network. Thus, by means of computational models, we show that miRNAs could act as vectors allowing the propagation of robustness in protein synthesis as well as oscillatory behaviors within ceRNA networks.
format article
author Claude Gérard
Béla Novák
author_facet Claude Gérard
Béla Novák
author_sort Claude Gérard
title microRNA as a potential vector for the propagation of robustness in protein expression and oscillatory dynamics within a ceRNA network.
title_short microRNA as a potential vector for the propagation of robustness in protein expression and oscillatory dynamics within a ceRNA network.
title_full microRNA as a potential vector for the propagation of robustness in protein expression and oscillatory dynamics within a ceRNA network.
title_fullStr microRNA as a potential vector for the propagation of robustness in protein expression and oscillatory dynamics within a ceRNA network.
title_full_unstemmed microRNA as a potential vector for the propagation of robustness in protein expression and oscillatory dynamics within a ceRNA network.
title_sort microrna as a potential vector for the propagation of robustness in protein expression and oscillatory dynamics within a cerna network.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/0015c633767648ce9470a98ac7c72877
work_keys_str_mv AT claudegerard micrornaasapotentialvectorforthepropagationofrobustnessinproteinexpressionandoscillatorydynamicswithinacernanetwork
AT belanovak micrornaasapotentialvectorforthepropagationofrobustnessinproteinexpressionandoscillatorydynamicswithinacernanetwork
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