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.

Plos One
|May 26, 2017
PubMed

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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