ArticlePLoS computational biology2012
Phase resetting reveals network dynamics underlying a bacterial cell cycle.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Coupling of cell growth modulation to asymmetric division and cell cycle regulation inProceedings of the National Academy of Sciences of the United States of America · 2024Article
- Biphasic growth dynamics control cell division in Caulobacter crescentus.Nature microbiology · 2017Article
- Intergenerational continuity of cell shape dynamics in Caulobacter crescentus.Scientific reports · 2015Article
- Scaling laws governing stochastic growth and division of single bacterial cells.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Nonlinear response theory in chemical kinetics.The Journal of chemical physics · 2014Article
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Authors and funding
5 authors.
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Abstract
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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