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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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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). |
format | Online Article Text |
id | pubmed-3510036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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