Evidence map›Paper›PMID 41160435›Full record

ArticleeLife2025

Non-equilibrium strategies enabling ligand specificity by signaling receptors.

Andrew Goetz, Jeremy Barrios, Ralitsa Radostinova Madsen, Purushottam D Dixit

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Andrew GoetzDepartment of Biomedical Engineering, Yale University, New Haven, United States.
Jeremy BarriosDepartment of Physics, Yale University, New Haven, United States.
Ralitsa Radostinova MadsenMRC Protein Phosphorylation and Ubiquitylation Unit, University of Dundee, Dundee, United Kingdom.ORCID https://orcid.org/0000-0001-8844-5167
Purushottam D DixitDepartment of Biomedical Engineering, Yale University, New Haven, United States.ORCID https://orcid.org/0000-0003-3282-0866

Funding

MANET: Maximum Entropy Neural Networks for Mechanistic Modeling of Single Cell BehaviorR35GM142547 · NIGMS · YALE UNIVERSITY · PI DIXIT, PURUSHOTTAM · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM142547NIGMS NIH HHS R35GM142547UK Research and Innovation MR/Y017439/1Wellcome Sir Henry Wellcome Fellowship 220464/Z/20/ZWellcome Trust
6 · The paper itself

Abstract

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.

Indexed as

Signal TransductionHumansKineticsLigandsModels, BiologicalPhosphorylationProtein BindingProteolysisThermodynamicsLigandscomputational biologyhumanphysics of living systemsproofreadingsignaling networksspecificitysystems biology

Identifiers

PMID41160435
PMCPMC12571484

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.