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Robustness analysis of the detailed kinetic model of an ErbB signaling network by using dynamic sensitivity
Hiroyuki Masunaga1, Yurie Sugimoto1, Shigeyuki Magi2
1Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Iizuka, Fukuoka, Japan.
Abstract:
The ErbB receptor signaling pathway plays an important role in the regulation of cellular proliferation, survival and differentiation, and dysregulation of the pathway is linked to various types of human cancer. Mathematical models have been developed as a practical complementary approach to deciphering the complexity of ErbB receptor signaling and elucidating how the pathways discriminate between ligands to induce different cell fates. In this study, we developed a simulator to accurately calculate the dynamic sensitivity of extracellular-signal-regulated kinase (ERK) activity (ERK*) and Akt activity (Akt*), downstream of the ErbB receptors stimulated with epidermal growth factor (EGF) and heregulin (HRG). To demonstrate the feasibility of this simulator, we estimated how the reactions critically responsible for ERK* and Akt* change with time and in response to different doses of EGF and HRG, and predicted that only a small number of reactions determine ERK* and Akt*. ERK* increased steeply with increasing HRG dose until saturation, while showing a gently rising response to EGF. Akt* had a gradual wide-range response to HRG and a blunt response to EGF. Akt* was sensitive to perturbations of intracellular kinetics, while ERK* was more robust due to multiple, negative feedback loops. Overall, the simulator predicted reactions that were critically responsible for ERK* and Akt* in response to the dose of EGF and HRG, illustrated the response characteristics of ERK* and Akt*, and estimated mechanisms for generating robustness in the ErbB signaling network.
Insights
This study introduces a new simulator to analyze ErbB signaling. It reveals key reactions controlling extracellular-signal-regulated kinase (ERK) and Akt activity, showing how different ligands like EGF and HRG impact cell fate.
Area of Science:
- Cellular signaling pathways
- Cancer biology
- Mathematical modeling in biology
Background:
- ErbB receptor signaling regulates cell growth, survival, and differentiation.
- Pathway dysregulation is implicated in human cancers.
- Mathematical models help understand complex signaling networks and ligand discrimination.
Purpose of the Study:
- To develop a computational simulator for quantifying ErbB receptor signaling dynamics.
- To analyze the sensitivity of downstream effectors, extracellular-signal-regulated kinase (ERK) and Akt, to different ligands.
- To identify critical reactions and mechanisms governing signaling robustness.
Main Methods:
- Development of a computational simulator for ErbB signaling.
- Dynamic sensitivity analysis of ERK and Akt activity (ERK* and Akt*) under stimulation with epidermal growth factor (EGF) and heregulin (HRG).
- Dose-response analysis and assessment of kinetic perturbation effects.
Main Results:
- A small subset of reactions critically determines ERK* and Akt*.
- ERK* exhibits a steep, saturating response to HRG and a gradual response to EGF.
- Akt* shows a wide-range response to HRG and a blunt response to EGF; ERK* is robust due to feedback loops, while Akt* is sensitive to kinetic changes.
Conclusions:
- The simulator accurately predicts critical reactions in ErbB signaling pathways.
- Distinct response characteristics of ERK* and Akt* to EGF and HRG are elucidated.
- Mechanisms for robustness in the ErbB signaling network are identified.
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