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Resonant activation: a strategy against bacterial persistence
- Source :
- Physical biology. 7(1)
- Publication Year :
- 2010
-
Abstract
- A bacterial colony may develop a small number of cells genetically identical to, but phenotypically different from other normally growing bacteria. These so-called persister cells keep themselves in a dormant state and thus are insensitive to antibiotic treatment, resulting in serious problems of drug resistance. In this paper, we proposed a novel strategy to "kill" persister cells by triggering them to switch, in a fast and synchronized way, into normally growing cells that are susceptible to antibiotics. The strategy is based on resonant activation (RA), a well-studied phenomenon in physics where the internal noise of a system can constructively facilitate fast and synchronized barrier crossings. Through stochastic Gilliespie simulation with a generic toggle switch model, we demonstrated that RA exists in the phenotypic switching of a single bacterium. Further, by coupling single cell level and population level simulations, we showed that with RA, one can greatly reduce the time and total amount of antibiotics needed to sterilize a bacterial population. We suggest that resonant activation is a general phenomenon in phenotypic transition, and can find other applications such as cancer therapy.<br />Comment: 21 pages, 12 figures, submitted
- Subjects :
- Multidrug tolerance
Population level
Molecular Networks (q-bio.MN)
Phenotypic switching
Biophysics
Cancer therapy
Bacterial population
Cell Biology
Bacterial persistence
Bacterial Infections
Cellular level
Toggle switch
Bacterial Physiological Phenomena
Models, Biological
Cell biology
Anti-Bacterial Agents
Structural Biology
FOS: Biological sciences
Cell Behavior (q-bio.CB)
Drug Resistance, Bacterial
Quantitative Biology - Cell Behavior
Quantitative Biology - Molecular Networks
Computer Simulation
Molecular Biology
Subjects
Details
- ISSN :
- 14783975
- Volume :
- 7
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Physical biology
- Accession number :
- edsair.doi.dedup.....cc8d8dd9c7c5a93e6999d316f594cde4