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A systematic approach to decipher crosstalk in the p53 signaling pathway using single cell dynamics
Fabian Konrath1, Anna Mittermeier2, Elena Cristiano3
1Mathematical Modelling of Cellular Processes, Max Delbrueck Center for Molecular Medicine, Berlin, Germany.
Plos Computational Biology
|June 27, 2020
Summary
Investigating the crosstalk between NF-κB and p53 signaling revealed how inhibiting IKK2 impacts p53 dynamics. This study untangles complex interactions affecting tumor development and cellular functions.
Area of Science:
- Molecular Biology
- Cellular Signaling
- Systems Biology
Background:
- Nuclear factor kappa B (NF-κB) and p53 are crucial transcription factors regulating cellular responses to genotoxic stress.
- These pathways are critical in tumor development, but the intricate crosstalk between them remains incompletely understood.
Purpose of the Study:
- To systematically identify and characterize potential interactions between NF-κB and p53 signaling networks.
- To quantitatively analyze the impact of NF-κB pathway perturbation on p53 dynamics under genotoxic stress.
Main Methods:
- Perturbation of NF-κB signaling via IKK2 inhibition.
- Single-cell time-lapse microscopy to monitor p53 response to genotoxic stress.
- Development and fitting of subpopulation-specific computational p53 models to time-resolved data.
Main Results:
- Quantitative reproduction of signaling dynamics and cellular heterogeneity under unperturbed and perturbed conditions.
- Identification of integrated effects of IKK/NF-κB perturbation on p53 dynamics.
- Demonstration that simultaneous perturbation of p53 activation, p53 degradation, and Mdm2 degradation is required to explain observed p53 response changes.
Conclusions:
- The study highlights significant crosstalk between NF-κB and p53 networks, impacting cellular functions.
- Understanding these integrated network effects is crucial for comprehending tumor development and potential therapeutic strategies.
- The developed systematic approach provides a quantitative framework for dissecting complex signaling pathway interactions.
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