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Phase Resetting Reveals Network Dynamics Underlying a Bacterial Cell Cycle

Genomic and proteomic methods yield networks of biological regulatory interactions but do not provide direct insight into how those interactions are organized into functional modules, or how information flows from one module to another. In this work we introduce an approach that provides this comple...

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Autores principales: Lin, Yihan, Li, Ying, Crosson, Sean, Dinner, Aaron R., Scherer, Norbert F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510036/
https://www.ncbi.nlm.nih.gov/pubmed/23209388
http://dx.doi.org/10.1371/journal.pcbi.1002778
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author Lin, Yihan
Li, Ying
Crosson, Sean
Dinner, Aaron R.
Scherer, Norbert F.
author_facet Lin, Yihan
Li, Ying
Crosson, Sean
Dinner, Aaron R.
Scherer, Norbert F.
author_sort Lin, Yihan
collection PubMed
description Genomic and proteomic methods yield networks of biological regulatory interactions but do not provide direct insight into how those interactions are organized into functional modules, or how information flows from one module to another. In this work we introduce an approach that provides this complementary information and apply it to the bacterium Caulobacter crescentus, a paradigm for cell-cycle control. Operationally, we use an inducible promoter to express the essential transcriptional regulatory gene ctrA in a periodic, pulsed fashion. This chemical perturbation causes the population of cells to divide synchronously, and we use the resulting advance or delay of the division times of single cells to construct a phase resetting curve. We find that delay is strongly favored over advance. This finding is surprising since it does not follow from the temporal expression profile of CtrA and, in turn, simulations of existing network models. We propose a phenomenological model that suggests that the cell-cycle network comprises two distinct functional modules that oscillate autonomously and couple in a highly asymmetric fashion. These features collectively provide a new mechanism for tight temporal control of the cell cycle in C. crescentus. We discuss how the procedure can serve as the basis for a general approach for probing network dynamics, which we term chemical perturbation spectroscopy (CPS).
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spelling pubmed-35100362012-12-03 Phase Resetting Reveals Network Dynamics Underlying a Bacterial Cell Cycle Lin, Yihan Li, Ying Crosson, Sean Dinner, Aaron R. Scherer, Norbert F. PLoS Comput Biol Research Article Genomic and proteomic methods yield networks of biological regulatory interactions but do not provide direct insight into how those interactions are organized into functional modules, or how information flows from one module to another. In this work we introduce an approach that provides this complementary information and apply it to the bacterium Caulobacter crescentus, a paradigm for cell-cycle control. Operationally, we use an inducible promoter to express the essential transcriptional regulatory gene ctrA in a periodic, pulsed fashion. This chemical perturbation causes the population of cells to divide synchronously, and we use the resulting advance or delay of the division times of single cells to construct a phase resetting curve. We find that delay is strongly favored over advance. This finding is surprising since it does not follow from the temporal expression profile of CtrA and, in turn, simulations of existing network models. We propose a phenomenological model that suggests that the cell-cycle network comprises two distinct functional modules that oscillate autonomously and couple in a highly asymmetric fashion. These features collectively provide a new mechanism for tight temporal control of the cell cycle in C. crescentus. We discuss how the procedure can serve as the basis for a general approach for probing network dynamics, which we term chemical perturbation spectroscopy (CPS). Public Library of Science 2012-11-29 /pmc/articles/PMC3510036/ /pubmed/23209388 http://dx.doi.org/10.1371/journal.pcbi.1002778 Text en © 2012 Lin et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lin, Yihan
Li, Ying
Crosson, Sean
Dinner, Aaron R.
Scherer, Norbert F.
Phase Resetting Reveals Network Dynamics Underlying a Bacterial Cell Cycle
title Phase Resetting Reveals Network Dynamics Underlying a Bacterial Cell Cycle
title_full Phase Resetting Reveals Network Dynamics Underlying a Bacterial Cell Cycle
title_fullStr Phase Resetting Reveals Network Dynamics Underlying a Bacterial Cell Cycle
title_full_unstemmed Phase Resetting Reveals Network Dynamics Underlying a Bacterial Cell Cycle
title_short Phase Resetting Reveals Network Dynamics Underlying a Bacterial Cell Cycle
title_sort phase resetting reveals network dynamics underlying a bacterial cell cycle
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510036/
https://www.ncbi.nlm.nih.gov/pubmed/23209388
http://dx.doi.org/10.1371/journal.pcbi.1002778
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