Competition for shared downstream signaling molecules establishes indirect negative feedback between EGFR and EphA2

Dongmyung Oh1, Zhongwen Chen2, Kabir H Biswas3

  • 1Mechanobiology Institute, National University of Singapore, Singapore, Singapore; Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, Texas.

Biophysical Journal
|April 17, 2022
PubMed

Insights

Epidermal growth factor (EGF) receptor complexes outcompete EphA2 receptors for signaling proteins. This competition reveals a negative crosstalk mechanism controlled by protein availability.

Area of Science:

  • Cell biology
  • Molecular signaling
  • Biophysics

Background:

  • Cells utilize receptor tyrosine kinases (RTKs) to sense extracellular signals.
  • Shared downstream signaling molecules are engaged by multiple RTKs, leading to unclear signal crosstalk.
  • Understanding RTK signal competition and synergy is crucial for cell communication.

Purpose of the Study:

  • To investigate the competition between epidermal growth factor (EGF):EGF receptor (EGFR) and ephrin-A1:EphA2 complexes for shared signaling molecules.
  • To elucidate the mechanisms governing signal identity, synergy, and competition between different RTKs.

Main Methods:

  • Utilized microscale patterning and single-molecule imaging techniques.
  • Measured the competitive binding of Grb2 and SOS proteins by EphA2 and EGFR complexes.
  • Quantified protein copy number limitations and chemical mass action in signaling pathways.

Main Results:

  • Demonstrated a distinct hierarchy in signaling molecule competition.
  • Newly formed EGF:EGFR complexes were found to outcompete ephrin-A1:EphA2 complexes for Grb2 and SOS.
  • Identified a negative crosstalk interaction driven by mass action and protein availability.

Conclusions:

  • EGF:EGFR signaling exhibits dominance over ephrin-A1:EphA2 signaling due to competitive advantages.
  • Protein copy number and mass action are fundamental regulators of RTK crosstalk.
  • This study provides insights into the molecular mechanisms underlying signal specificity and competition in cellular signaling networks.

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