Spatiotemporal modeling of GPCR signaling: The role of endosomal dynamics and receptor recycling

A growing number of G Protein-Coupled Receptors (GPCRs) have been reported to initiate signaling both at the cell surface and from intracellular compartments such as endosomes. The kinetics and spatial localization of these signals are critical determinants of cellular responses, yet receptor trafficking - including internalization, endosomal sorting, and recycling - remains a pivotal but often overlooked component of theoretical GPCR models. Here, we present a generic GPCR dynamic model that explicitly integrates receptor trafficking and signaling compartmentalization, enabling systematic characterization of the role of endosomal dynamics and receptor recycling on ligand-induced cellular responses. Then, as a case study, a model selection method with high-throughput kinetic data from the follicle-stimulating hormone receptor (FSHR) is used to reveal the impact of receptor trafficking on FSH-induced signaling responses. Although only a small fraction of FSHRs is internalized, these receptors produce a highly active endosomal response, underscoring the strong effect that any drug perturbing receptor trafficking can have. Our approach thus provides a refined tool for the pharmacological characterization of ligands and advances understanding of the spatial organization of FSHR signaling. Beyond this specific receptor, the methodology offers a generalizable strategy for modeling GPCR trafficking dynamics.

Authors

Institutions

Publication Details

Journal
PLoS Computational Biology
Published
2026-09-29
DOI
https://doi.org/10.1371/journal.pcbi.1014790
Primary Topic
Receptor Mechanisms and Signaling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Spatiotemporal modeling of GPCR signaling: The role of endosomal dynamics and receptor recycling

Romain Yvinec, J Gourdon, Stefan Haar, Vinesh Jugnarain et al.
PLoS Computational Biology
Receptor Mechanisms and Signaling
article

Spatiotemporal modeling of GPCR signaling: The role of endosomal dynamics and receptor recycling

Romain Yvinec, J Gourdon, Stefan Haar, Vinesh Jugnarain, Léo Darrigade, Pascale Crépieux, Frédéric Jean‐Alphonse, Éric Reiter, Chloé Weckel
article en

Abstract

A growing number of G Protein-Coupled Receptors (GPCRs) have been reported to initiate signaling both at the cell surface and from intracellular compartments such as endosomes. The kinetics and spatial localization of these signals are critical determinants of cellular responses, yet receptor trafficking - including internalization, endosomal sorting, and recycling - remains a pivotal but often overlooked component of theoretical GPCR models. Here, we present a generic GPCR dynamic model that explicitly integrates receptor trafficking and signaling compartmentalization, enabling systematic characterization of the role of endosomal dynamics and receptor recycling on ligand-induced cellular responses. Then, as a case study, a model selection method with high-throughput kinetic data from the follicle-stimulating hormone receptor (FSHR) is used to reveal the impact of receptor trafficking on FSH-induced signaling responses. Although only a small fraction of FSHRs is internalized, these receptors produce a highly active endosomal response, underscoring the strong effect that any drug perturbing receptor trafficking can have. Our approach thus provides a refined tool for the pharmacological characterization of ligands and advances understanding of the spatial organization of FSHR signaling. Beyond this specific receptor, the methodology offers a generalizable strategy for modeling GPCR trafficking dynamics.

PLoS Computational BiologyVol. 22(9)
Université de Tours (FR), Université Paris-Saclay (FR), Physiologie de la Reproduction et des Comportements (FR), Centre Inria de Saclay (FR)
Openalex Percentile: Top 19%
Receptor Mechanisms and Signaling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.