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Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by DEPTOR

The mechanistic Target of Rapamycin (mTOR) signalling network is an evolutionarily conserved network that controls key cellular processes, including cell growth and metabolism. Consisting of the major kinase complexes mTOR Complex 1 and 2 (mTORC1/2), the mTOR network harbours complex interactions an...

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Autores principales: Varusai, Thawfeek M., Nguyen, Lan K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766521/
https://www.ncbi.nlm.nih.gov/pubmed/29330362
http://dx.doi.org/10.1038/s41598-017-18400-z
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author Varusai, Thawfeek M.
Nguyen, Lan K.
author_facet Varusai, Thawfeek M.
Nguyen, Lan K.
author_sort Varusai, Thawfeek M.
collection PubMed
description The mechanistic Target of Rapamycin (mTOR) signalling network is an evolutionarily conserved network that controls key cellular processes, including cell growth and metabolism. Consisting of the major kinase complexes mTOR Complex 1 and 2 (mTORC1/2), the mTOR network harbours complex interactions and feedback loops. The DEP domain-containing mTOR-interacting protein (DEPTOR) was recently identified as an endogenous inhibitor of both mTORC1 and 2 through direct interactions, and is in turn degraded by mTORC1/2, adding an extra layer of complexity to the mTOR network. Yet, the dynamic properties of the DEPTOR-mTOR network and the roles of DEPTOR in coordinating mTORC1/2 activation dynamics have not been characterised. Using computational modelling, systems analysis and dynamic simulations we show that DEPTOR confers remarkably rich and complex dynamic behaviours to mTOR signalling, including abrupt, bistable switches, oscillations and co-existing bistable/oscillatory responses. Transitions between these distinct modes of behaviour are enabled by modulating DEPTOR expression alone. We characterise the governing conditions for the observed dynamics by elucidating the network in its vast multi-dimensional parameter space, and develop strategies to identify core network design motifs underlying these dynamics. Our findings provide new systems-level insights into the complexity of mTOR signalling contributed by DEPTOR.
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spelling pubmed-57665212018-01-17 Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by DEPTOR Varusai, Thawfeek M. Nguyen, Lan K. Sci Rep Article The mechanistic Target of Rapamycin (mTOR) signalling network is an evolutionarily conserved network that controls key cellular processes, including cell growth and metabolism. Consisting of the major kinase complexes mTOR Complex 1 and 2 (mTORC1/2), the mTOR network harbours complex interactions and feedback loops. The DEP domain-containing mTOR-interacting protein (DEPTOR) was recently identified as an endogenous inhibitor of both mTORC1 and 2 through direct interactions, and is in turn degraded by mTORC1/2, adding an extra layer of complexity to the mTOR network. Yet, the dynamic properties of the DEPTOR-mTOR network and the roles of DEPTOR in coordinating mTORC1/2 activation dynamics have not been characterised. Using computational modelling, systems analysis and dynamic simulations we show that DEPTOR confers remarkably rich and complex dynamic behaviours to mTOR signalling, including abrupt, bistable switches, oscillations and co-existing bistable/oscillatory responses. Transitions between these distinct modes of behaviour are enabled by modulating DEPTOR expression alone. We characterise the governing conditions for the observed dynamics by elucidating the network in its vast multi-dimensional parameter space, and develop strategies to identify core network design motifs underlying these dynamics. Our findings provide new systems-level insights into the complexity of mTOR signalling contributed by DEPTOR. Nature Publishing Group UK 2018-01-12 /pmc/articles/PMC5766521/ /pubmed/29330362 http://dx.doi.org/10.1038/s41598-017-18400-z Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Varusai, Thawfeek M.
Nguyen, Lan K.
Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by DEPTOR
title Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by DEPTOR
title_full Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by DEPTOR
title_fullStr Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by DEPTOR
title_full_unstemmed Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by DEPTOR
title_short Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by DEPTOR
title_sort dynamic modelling of the mtor signalling network reveals complex emergent behaviours conferred by deptor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766521/
https://www.ncbi.nlm.nih.gov/pubmed/29330362
http://dx.doi.org/10.1038/s41598-017-18400-z
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