Dynamical modeling of the cell cycle and cell fate emergence in Caulobacter crescentus.

The division of Caulobacter crescentus, a model organism for studying cell cycle and differentiation in bacteria, generates two cell types: swarmer and stalked. To complete its cycle, C. crescentus must first differentiate from the swarmer to the stalked phenotype. An important regulator involved in...

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Autores principales:	César Quiñones-Valles, Ismael Sánchez-Osorio, Agustino Martínez-Antonio
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ffd63e3ea07844f3bd7bdf52b31b30bb
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spelling	oai:doaj.org-article:ffd63e3ea07844f3bd7bdf52b31b30bb2021-11-25T05:54:41ZDynamical modeling of the cell cycle and cell fate emergence in Caulobacter crescentus.1932-620310.1371/journal.pone.0111116https://doaj.org/article/ffd63e3ea07844f3bd7bdf52b31b30bb2014-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0111116https://doaj.org/toc/1932-6203The division of Caulobacter crescentus, a model organism for studying cell cycle and differentiation in bacteria, generates two cell types: swarmer and stalked. To complete its cycle, C. crescentus must first differentiate from the swarmer to the stalked phenotype. An important regulator involved in this process is CtrA, which operates in a gene regulatory network and coordinates many of the interactions associated to the generation of cellular asymmetry. Gaining insight into how such a differentiation phenomenon arises and how network components interact to bring about cellular behavior and function demands mathematical models and simulations. In this work, we present a dynamical model based on a generalization of the Boolean abstraction of gene expression for a minimal network controlling the cell cycle and asymmetric cell division in C. crescentus. This network was constructed from data obtained from an exhaustive search in the literature. The results of the simulations based on our model show a cyclic attractor whose configurations can be made to correspond with the current knowledge of the activity of the regulators participating in the gene network during the cell cycle. Additionally, we found two point attractors that can be interpreted in terms of the network configurations directing the two cell types. The entire network is shown to be operating close to the critical regime, which means that it is robust enough to perturbations on dynamics of the network, but adaptable to environmental changes.César Quiñones-VallesIsmael Sánchez-OsorioAgustino Martínez-AntonioPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 11, p e111116 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q César Quiñones-Valles Ismael Sánchez-Osorio Agustino Martínez-Antonio Dynamical modeling of the cell cycle and cell fate emergence in Caulobacter crescentus.
description	The division of Caulobacter crescentus, a model organism for studying cell cycle and differentiation in bacteria, generates two cell types: swarmer and stalked. To complete its cycle, C. crescentus must first differentiate from the swarmer to the stalked phenotype. An important regulator involved in this process is CtrA, which operates in a gene regulatory network and coordinates many of the interactions associated to the generation of cellular asymmetry. Gaining insight into how such a differentiation phenomenon arises and how network components interact to bring about cellular behavior and function demands mathematical models and simulations. In this work, we present a dynamical model based on a generalization of the Boolean abstraction of gene expression for a minimal network controlling the cell cycle and asymmetric cell division in C. crescentus. This network was constructed from data obtained from an exhaustive search in the literature. The results of the simulations based on our model show a cyclic attractor whose configurations can be made to correspond with the current knowledge of the activity of the regulators participating in the gene network during the cell cycle. Additionally, we found two point attractors that can be interpreted in terms of the network configurations directing the two cell types. The entire network is shown to be operating close to the critical regime, which means that it is robust enough to perturbations on dynamics of the network, but adaptable to environmental changes.
format	article
author	César Quiñones-Valles Ismael Sánchez-Osorio Agustino Martínez-Antonio
author_facet	César Quiñones-Valles Ismael Sánchez-Osorio Agustino Martínez-Antonio
author_sort	César Quiñones-Valles
title	Dynamical modeling of the cell cycle and cell fate emergence in Caulobacter crescentus.
title_short	Dynamical modeling of the cell cycle and cell fate emergence in Caulobacter crescentus.
title_full	Dynamical modeling of the cell cycle and cell fate emergence in Caulobacter crescentus.
title_fullStr	Dynamical modeling of the cell cycle and cell fate emergence in Caulobacter crescentus.
title_full_unstemmed	Dynamical modeling of the cell cycle and cell fate emergence in Caulobacter crescentus.
title_sort	dynamical modeling of the cell cycle and cell fate emergence in caulobacter crescentus.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/ffd63e3ea07844f3bd7bdf52b31b30bb
work_keys_str_mv	AT cesarquinonesvalles dynamicalmodelingofthecellcycleandcellfateemergenceincaulobactercrescentus AT ismaelsanchezosorio dynamicalmodelingofthecellcycleandcellfateemergenceincaulobactercrescentus AT agustinomartinezantonio dynamicalmodelingofthecellcycleandcellfateemergenceincaulobactercrescentus
_version_	1718414439364952064

Dynamical modeling of the cell cycle and cell fate emergence in Caulobacter crescentus.

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