ArticleCell communication and signaling : CCS2014
Deciphering the mechanism behind Fibroblast Growth Factor (FGF) induced biphasic signal-response profiles.
Article in Cell communication and signaling : CCS, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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22 citing papers in PubMed, 41 citations in OpenAlex.
- Article
- Developing FGF2 Mutants with Selectively Reduced Heparan Sulfate Affinity to Explore their Impact on FGFR1 Signaling.Chembiochem : a European journal of chemical biology · 2025Article
- Basic Fibroblast Growth Factor-Releasing Bioabsorbable Polyglycolic Acid Dura Mater Enhances Neural Progenitor Cell Proliferation and Neuroprotection After Brain Injury.Brain and behavior · 2025Article
- Collagen-Heparin-FGF2-VEGF Scaffolds Induce a Regenerative Gene Expression Profile in a Fetal Sheep Wound Model.Tissue engineering and regenerative medicine · 2024Article
- Article
- Conditional fluorescent mouse translocation reporters for ERK1/2 and AKT signaling.Developmental biology · 2023Article
- Population-level antagonism between FGF and BMP signaling steers mesoderm differentiation in embryonic stem cells.Biology open · 2023Article
- Systems biology of angiogenesis signaling: Computational models and omics.WIREs mechanisms of disease · 2022Review
- Optogenetic actuator - ERK biosensor circuits identify MAPK network nodes that shape ERK dynamics.Molecular systems biology · 2022Article
- ERK and Akt exhibit distinct signaling responses following stimulation by pro-angiogenic factors.Cell communication and signaling : CCS · 2020Article
- Elucidation of the Mechanism of Action of Ginseng Against Acute Lung Injury/Acute Respiratory Distress Syndrome by a Network Pharmacology-Based Strategy.Frontiers in pharmacology · 2020Article
- Temporal perturbation of ERK dynamics reveals network architecture of FGF2/MAPK signaling.Molecular systems biology · 2019Article
- Best Practices to Maximize the Use and Reuse of Quantitative and Systems Pharmacology Models: Recommendations From the United Kingdom Quantitative and Systems Pharmacology Network.CPT: pharmacometrics & systems pharmacology · 2019Article
- Fibroblast Growth Factor 2 Protein Stability Provides Decreased Dependence on Heparin for Induction of FGFR Signaling and Alters ERK Signaling Dynamics.Frontiers in cell and developmental biology · 2019Article
- Exploring the Extracellular Regulation of the Tumor Angiogenic Interaction Network Using a Systems Biology Model.Frontiers in physiology · 2019Article
- Mechanistic insight into activation of MAPK signaling by pro-angiogenic factors.BMC systems biology · 2018Article
- The impact of tumor receptor heterogeneity on the response to anti-angiogenic cancer treatment.Integrative biology : quantitative biosciences from nano to macro · 2018Article
- Dose-dependent functions of fibroblast growth factor 9 regulate the fate of murine XY primordial germ cells.Biology of reproduction · 2017Article
- Prospective Design of Anti-Transferrin Receptor Bispecific Antibodies for Optimal Delivery into the Human Brain.CPT: pharmacometrics & systems pharmacology · 2016Article
- Dizzy-Beats: a Bayesian evidence analysis tool for systems biology.Bioinformatics (Oxford, England) · 2015Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Fibroblast Growth Factor (FGF) pathway is driving various aspects of cellular responses in both normal and malignant cells. One interesting characteristic of this pathway is the biphasic nature of the cellular response to some FGF ligands like FGF2. Specifically, it has been shown that phenotypic behaviors controlled by FGF signaling, like migration and growth, reach maximal levels in response to intermediate concentrations, while high levels of FGF2 elicit weak responses. The mechanisms leading to the observed biphasic response remains unexplained.
resultsA combination of experiments and computational modeling was used to understand the mechanism behind the observed biphasic signaling responses. FGF signaling involves a tertiary surface interaction that we captured with a computational model based on Ordinary Differential Equations (ODEs). It accounts for FGF2 binding to FGF receptors (FGFRs) and heparan sulfate glycosaminoglycans (HSGAGs), followed by receptor-phosphorylation, activation of the FRS2 adapter protein and the Ras-Raf signaling cascade. Quantitative protein assays were used to measure the dynamics of phosphorylated ERK (pERK) in response to a wide range of FGF2 ligand concentrations on a fine-grained time scale for the squamous cell lung cancer cell line H1703. We developed a novel approach combining Particle Swarm Optimization (PSO) and feature-based constraints in the objective function to calibrate the computational model to the experimental data. The model is validated using a series of extracellular and intracellular perturbation experiments. We demonstrate that in silico model predictions are in accordance with the observed in vitro results.
conclusionsUsing a combined approach of computational modeling and experiments we found that competition between binding of the ligand FGF2 to HSGAG and FGF receptor leads to the biphasic response. At low to intermediate concentrations of FGF2 there are sufficient free FGF receptors available for the FGF2-HSGAG complex to enable the formation of the trimeric signaling unit. At high ligand concentrations the ligand binding sites of the receptor become saturated and the trimeric signaling unit cannot be formed. This insight into the pathway is an important consideration for the pharmacological inhibition of this pathway.
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