Non-equilibrium strategies enabling ligand specificity by signaling receptors
Signaling receptors often encounter multiple ligands and have been shown to respond selectively to generate appropriate, context-specific outcomes. At thermal equilibrium, ligand specificity is limited by the relative affinities of ligands for their receptors. Here, we present a non-equilibrium model in which receptors overcome thermodynamic constraints to preferentially signal from specific ligands while suppressing others. In our model, multi-site phosphorylation and active receptor degradation act in concert to regulate ligand specificity, with receptor degradation, a common motif in eukaryotes, providing a previously under-appreciated layer of control. Here, ligand-bound receptors undergo sequential phosphorylation, with progression restarted by ligand unbinding or receptor turnover. High-affinity complexes are kinetically sorted toward degradation-prone states, while low-affinity complexes are sorted toward inactivated states, both limiting signaling. As a result, network activity is maximized for ligands with intermediate affinities. This mechanism explains paradoxical experimental observations in receptor tyrosine kinase signaling, including non-monotonic dependence of signaling output on ligand affinity and kinase activity. Given the ubiquity of multi-site phosphorylation and ligand-induced degradation across signaling receptors, we propose that kinetic sorting may be a general non-equilibrium ligand-discrimination strategy used by multiple signaling receptors.
Authors
- Purushottam D. Dixit (ORCID: https://orcid.org/0000-0003-3282-0866)
- Andrew Goetz
- Ralitsa Radostinova Madsen (ORCID: https://orcid.org/0000-0001-8844-5167)
- Jeremy Barrios
Institutions
- University of Dundee (GB)
- Yale University (US)
- MRC Protein Phosphorylation and Ubiquitylation Unit (GB)
- Systems Biology Institute (JP)
Publication Details
- Journal
- eLife
- Published
- 2025-10-29
- DOI
- https://doi.org/10.7554/elife.107524.3
- Primary Topic
- Melanoma and MAPK Pathways
- Type
- article
- Field-Weighted Citation Impact
- 0.00