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Integrating Multiplex SiMPull and Computational Modeling to Evaluate Combinatorial Aspects of EGFR Signaling

Authors :
Carolina Franco Nitta
Eshan D. Mitra
Emanuel Salazar-Cavazos
Diane S. Lidke
Keith A. Lidke
William S. Hlavacek
Bridget S. Wilson
Publication Year :
2017
Publisher :
Cold Spring Harbor Laboratory, 2017.

Abstract

The Epidermal Growth Factor Receptor (EGFR/ErbB1/HER1) plays an important role in both physiological and cancer-related processes. To study the factors that influence receptor phosphorylation, we have coupled Single Molecule Pull-down (SiMPull) measurements with rule-based modeling of EGFR signaling. Using SiMPull, we quantified the phosphorylation state of thousands of individual receptors. These measurements enabled the first direct detection of multisite phosphorylation on full-length EGFR and revealed that the extent of phosphorylation varies by tyrosine site and is dependent on the relative abundance of signaling partners that limit access by tyrosine phosphatases. We also evaluated the impact of oncogenic mutations and ligands with varying affinity on phosphorylation kinetics. Simulations highlight the importance of dimer lifetimes on EGFR phosphorylation and signaling output.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....670ab934d200d9f4f4f892c7cb50078e
Full Text :
https://doi.org/10.1101/227512