Tunability and Noise Dependence in Differentiation Dynamics

by: Gurol M Suel, Rajan P Kulkarni, Jonathan Dworkin, Jordi Garcia-Ojalvo, Michael B Elowitz

Science, Vol. 315, No. 5819. (23 March 2007), pp. 1716-1719.

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Abstract

The dynamic process of differentiation depends on the architecture, quantitative parameters, and noise of underlying genetic circuits. However, it remains unclear how these elements combine to control cellular behavior. We analyzed the probabilistic and transient differentiation of Bacillus subtilis cells into the state of competence. A few key parameters independently tuned the frequency of initiation and the duration of competence episodes and allowed the circuit to access different dynamic regimes, including oscillation. Altering circuit architecture showed that the duration of competence events can be made more precise. We used an experimental method to reduce global cellular noise and showed that noise levels are correlated with frequency of differentiation events. Together, the data reveal a noise-dependent circuit that is remarkably resilient and tunable in terms of its dynamic behavior. 10.1126/science.1137455

@article{citeulike:1188027, abstract = {The dynamic process of differentiation depends on the architecture, quantitative parameters, and noise of underlying genetic circuits. However, it remains unclear how these elements combine to control cellular behavior. We analyzed the probabilistic and transient differentiation of Bacillus subtilis cells into the state of competence. A few key parameters independently tuned the frequency of initiation and the duration of competence episodes and allowed the circuit to access different dynamic regimes, including oscillation. Altering circuit architecture showed that the duration of competence events can be made more precise. We used an experimental method to reduce global cellular noise and showed that noise levels are correlated with frequency of differentiation events. Together, the data reveal a noise-dependent circuit that is remarkably resilient and tunable in terms of its dynamic behavior. 10.1126/science.1137455}, author = {Suel, Gurol M. and Kulkarni, Rajan P. and Dworkin, Jonathan and Garcia-Ojalvo, Jordi and Elowitz, Michael B. }, citeulike-article-id = {1188027}, doi = {http://dx.doi.org/10.1126/science.1137455}, journal = {Science}, keywords = {differentiation, dynamics, noise}, month = {March}, number = {5819}, pages = {1716--1719}, posted-at = {2007-03-30 08:55:08}, priority = {1}, title = {Tunability and Noise Dependence in Differentiation Dynamics}, url = {http://dx.doi.org/10.1126/science.1137455}, volume = {315}, year = {2007} }

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TY - JOUR ID - citeulike:1188027 L3 - citeulike-article-id:1188027 TI - Tunability and Noise Dependence in Differentiation Dynamics JF - Science VL - 315 IS - 5819 SP - 1716 EP - 1719 N2 - The dynamic process of differentiation depends on the architecture, quantitative parameters, and noise of underlying genetic circuits. However, it remains unclear how these elements combine to control cellular behavior. We analyzed the probabilistic and transient differentiation of Bacillus subtilis cells into the state of competence. A few key parameters independently tuned the frequency of initiation and the duration of competence episodes and allowed the circuit to access different dynamic regimes, including oscillation. Altering circuit architecture showed that the duration of competence events can be made more precise. We used an experimental method to reduce global cellular noise and showed that noise levels are correlated with frequency of differentiation events. Together, the data reveal a noise-dependent circuit that is remarkably resilient and tunable in terms of its dynamic behavior. 10.1126/science.1137455 KW - differentiation KW - dynamics KW - noise AU - Suel, Gurol AU - Kulkarni, Rajan AU - Dworkin, Jonathan AU - Garcia-Ojalvo, Jordi AU - Elowitz, Michael PY - 2007/03/23/ UR - http://dx.doi.org/10.1126/science.1137455 ER -

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