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Analysis of stochastic strategies in bacterial competence: a master equation approach (2010).
| Content Provider | CiteSeerX |
|---|---|
| Author | Ra H., D. Khammash, Mustafa |
| Abstract | Competence is a transiently differentiated state that certain bacterial cells reach when faced with a stressful environment. Entrance into competence can be attributed to the excitability of the dynamics governing the genetic circuit that regulates this cellular behavior. Like many biological behaviors, entrance into competence is a stochastic event. In this case cellular noise is responsible for driving the cell from a vegetative state into competence and back. In this work we present a novel numerical method for the analysis of stochastic biochemical events and use it to study the excitable dynamics responsible for competence in Bacillus subtilis. Starting with a Finite State Projection (FSP) solution of the chemical master equation (CME), we develop efficient numerical tools for accurately computing competence probability. Additionally, we propose a new approach for the sensitivity analysis of stochastic events and utilize it to elucidate the robustness properties of the competence regulatory genetic circuit. We also propose and implement a numerical method to calculate the expected time it takes a cell to return from competence. Although this study is focused on an example of cell-differentiation in Bacillus |
| File Format | |
| Publisher Date | 2010-01-01 |
| Access Restriction | Open |
| Subject Keyword | Master Equation Approach Bacterial Competence Stochastic Strategy Stochastic Event Bacillus Subtilis Competence Regulatory Genetic Circuit Genetic Circuit Many Biological Behavior New Approach Efficient Numerical Tool Robustness Property Competence Probability Novel Numerical Method Vegetative State Stressful Environment Finite State Projection Expected Time Stochastic Biochemical Event Sensitivity Analysis Excitable Dynamic Certain Bacterial Cell Numerical Method Case Cellular Noise Cellular Behavior Chemical Master Equation |
| Content Type | Text |