Cargando…

Core signalling motif displaying multistability through multi-state enzymes

Bistability, and more generally multistability, is a key system dynamics feature enabling decision-making and memory in cells. Deciphering the molecular determinants of multistability is thus crucial for a better understanding of cellular pathways and their (re)engineering in synthetic biology. Here...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Song, Sáez, Meritxell, Wiuf, Carsten, Feliu, Elisenda, Soyer, Orkun S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095215/
https://www.ncbi.nlm.nih.gov/pubmed/27733693
http://dx.doi.org/10.1098/rsif.2016.0524
_version_ 1782465265471062016
author Feng, Song
Sáez, Meritxell
Wiuf, Carsten
Feliu, Elisenda
Soyer, Orkun S.
author_facet Feng, Song
Sáez, Meritxell
Wiuf, Carsten
Feliu, Elisenda
Soyer, Orkun S.
author_sort Feng, Song
collection PubMed
description Bistability, and more generally multistability, is a key system dynamics feature enabling decision-making and memory in cells. Deciphering the molecular determinants of multistability is thus crucial for a better understanding of cellular pathways and their (re)engineering in synthetic biology. Here, we show that a key motif found predominantly in eukaryotic signalling systems, namely a futile signalling cycle, can display bistability when featuring a two-state kinase. We provide necessary and sufficient mathematical conditions on the kinetic parameters of this motif that guarantee the existence of multiple steady states. These conditions foster the intuition that bistability arises as a consequence of competition between the two states of the kinase. Extending from this result, we find that increasing the number of kinase states linearly translates into an increase in the number of steady states in the system. These findings reveal, to our knowledge, a new mechanism for the generation of bistability and multistability in cellular signalling systems. Further the futile cycle featuring a two-state kinase is among the smallest bistable signalling motifs. We show that multi-state kinases and the described competition-based motif are part of several natural signalling systems and thereby could enable them to implement complex information processing through multistability. These results indicate that multi-state kinases in signalling systems are readily exploited by natural evolution and could equally be used by synthetic approaches for the generation of multistable information processing systems at the cellular level.
format Online
Article
Text
id pubmed-5095215
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher The Royal Society
record_format MEDLINE/PubMed
spelling pubmed-50952152016-11-10 Core signalling motif displaying multistability through multi-state enzymes Feng, Song Sáez, Meritxell Wiuf, Carsten Feliu, Elisenda Soyer, Orkun S. J R Soc Interface Life Sciences–Mathematics interface Bistability, and more generally multistability, is a key system dynamics feature enabling decision-making and memory in cells. Deciphering the molecular determinants of multistability is thus crucial for a better understanding of cellular pathways and their (re)engineering in synthetic biology. Here, we show that a key motif found predominantly in eukaryotic signalling systems, namely a futile signalling cycle, can display bistability when featuring a two-state kinase. We provide necessary and sufficient mathematical conditions on the kinetic parameters of this motif that guarantee the existence of multiple steady states. These conditions foster the intuition that bistability arises as a consequence of competition between the two states of the kinase. Extending from this result, we find that increasing the number of kinase states linearly translates into an increase in the number of steady states in the system. These findings reveal, to our knowledge, a new mechanism for the generation of bistability and multistability in cellular signalling systems. Further the futile cycle featuring a two-state kinase is among the smallest bistable signalling motifs. We show that multi-state kinases and the described competition-based motif are part of several natural signalling systems and thereby could enable them to implement complex information processing through multistability. These results indicate that multi-state kinases in signalling systems are readily exploited by natural evolution and could equally be used by synthetic approaches for the generation of multistable information processing systems at the cellular level. The Royal Society 2016-10 /pmc/articles/PMC5095215/ /pubmed/27733693 http://dx.doi.org/10.1098/rsif.2016.0524 Text en © 2016 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Life Sciences–Mathematics interface
Feng, Song
Sáez, Meritxell
Wiuf, Carsten
Feliu, Elisenda
Soyer, Orkun S.
Core signalling motif displaying multistability through multi-state enzymes
title Core signalling motif displaying multistability through multi-state enzymes
title_full Core signalling motif displaying multistability through multi-state enzymes
title_fullStr Core signalling motif displaying multistability through multi-state enzymes
title_full_unstemmed Core signalling motif displaying multistability through multi-state enzymes
title_short Core signalling motif displaying multistability through multi-state enzymes
title_sort core signalling motif displaying multistability through multi-state enzymes
topic Life Sciences–Mathematics interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095215/
https://www.ncbi.nlm.nih.gov/pubmed/27733693
http://dx.doi.org/10.1098/rsif.2016.0524
work_keys_str_mv AT fengsong coresignallingmotifdisplayingmultistabilitythroughmultistateenzymes
AT saezmeritxell coresignallingmotifdisplayingmultistabilitythroughmultistateenzymes
AT wiufcarsten coresignallingmotifdisplayingmultistabilitythroughmultistateenzymes
AT feliuelisenda coresignallingmotifdisplayingmultistabilitythroughmultistateenzymes
AT soyerorkuns coresignallingmotifdisplayingmultistabilitythroughmultistateenzymes