4.0 Article

Post-translational regulation enables robust p53 regulation

Journal

BMC SYSTEMS BIOLOGY
Volume 7, Issue -, Pages -

Publisher

BMC
DOI: 10.1186/1752-0509-7-83

Keywords

Feedback control theory; p53-Mdm2 feedback loop; Robustness; Disturbance rejection

Funding

  1. National Institutes of Health [R01GM95990]
  2. National Science Foundation [NSF 1137269, CCF-1011918, CCF-0942936]
  3. Division of Computing and Communication Foundations
  4. Direct For Computer & Info Scie & Enginr [1011918] Funding Source: National Science Foundation

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Background: The tumor suppressor protein p53 plays important roles in DNA damage repair, cell cycle arrest and apoptosis. Due to its critical functions, the level of p53 is tightly regulated by a negative feedback mechanism to increase its tolerance towards fluctuations and disturbances. Interestingly, the p53 level is controlled by post-translational regulation rather than transcriptional regulation in this feedback mechanism. Results: We analyzed the dynamics of this feedback to understand whether post-translational regulation provides any advantages over transcriptional regulation in regard to disturbance rejection. When a disturbance happens, even though negative feedback reduces the steady-state error, it can cause a system to become less stable and transiently overshoots, which may erroneously trigger downstream reactions. Therefore, the system needs to balance the trade-off between steady-state and transient errors. Feedback control and adaptive estimation theories revealed that post-translational regulation achieves a better trade-off than transcriptional regulation, contributing to a more steady level of p53 under the influence of noise and disturbances. Furthermore, post-translational regulation enables cells to respond more promptly to stress conditions with consistent amplitude. However, for better disturbance rejection, the p53- Mdm2 negative feedback has to pay a price of higher stochastic noise. Conclusions: Our analyses suggest that the p53-Mdm2 feedback favors regulatory mechanisms that provide the optimal trade-offs for dynamic control.

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