2026-10-11T15:09:37Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34026732 2026-09-29T17:37:30Z category_1 category_4 category_12 category_13 category_14 category_16 category_19 category_46 category_734 category_811 category_64 category_122 category_132 portal_5 item_type_3 month_year_09_2026

<p>Table of the parameters of model 3 (Fig 5).</p> Chloé Weckel (25138386) Juliette Gourdon (25138389) Léo Darrigade (25138392) Vinesh Jugnarain (25138395) Pascale Crépieux (763916) Eric Reiter (7033055) Frédéric Jean-Alphonse (22090247) Stefan Haar (25138398) Romain Yvinec (25138401) Biophysics Biochemistry Cell Biology Genetics Molecular Biology Physiology Pharmacology Immunology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Cancer Mental Health Infectious Diseases throughput kinetic data often overlooked component model selection method approach thus provides theoretical gpcr models enabling systematic characterization stimulating hormone receptor induced cellular responses yet receptor trafficking induced signaling responses cellular responses receptor trafficking gpcr signaling pharmacological characterization specific receptor signaling compartmentalization initiate signaling xlink "> strong effect spatiotemporal modeling spatial organization spatial localization small fraction refined tool receptors produce methodology offers intracellular compartments including internalization growing number generalizable strategy g protein endosomal sorting endosomal dynamics critical determinants coupled receptors cell surface case study advances understanding <div><p>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.</p></div> 2026-09-29T18:00:32Z Dataset Dataset 10.1371/journal.pcbi.1014790.t003 https://figshare.com/articles/dataset/_p_Table_of_the_parameters_of_model_3_Fig_5_p_/34026732 CC BY 4.0