ArticlePLoS computational biology2008
A dual receptor crosstalk model of G-protein-coupled signal transduction.
Article in PLoS computational biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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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.
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Who cites it
27 citing papers in PubMed, 42 citations in OpenAlex.
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- Complement Receptors in Myeloid Cell Adhesion and Phagocytosis.Microbiology spectrum · 2016Review
- Role of IGF1R(+) MSCs in modulating neuroplasticity via CXCR4 cross-interaction.Scientific reports · 2016Article
- Systems Pharmacology and Rational Polypharmacy: Nitric Oxide-Cyclic GMP Signaling Pathway as an Illustrative Example and Derivation of the General Case.PLoS computational biology · 2016Article
- Article
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- Profile of Michael I. Jordan.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Properties of cell death models calibrated and compared using Bayesian approaches.Molecular systems biology · 2013Article
- The cellular building blocks of breathing.Comprehensive Physiology · 2012Review
- A novel cost function to estimate parameters of oscillatory biochemical systems.EURASIP journal on bioinformatics & systems biology · 2012Article
- G-protein βγ subunits in vasorelaxing and anti-endothelinergic effects of calcitonin gene-related peptide.British journal of pharmacology · 2012Article
- Complement in the brain.Molecular immunology · 2011Review
- Variability in G-protein-coupled signaling studied with microfluidic devices.Biophysical journal · 2010Article
- Sloppy models, parameter uncertainty, and the role of experimental design.Molecular bioSystems · 2010Article
- Classic and contemporary approaches to modeling biochemical reactions.Genes & development · 2010Review
- Microglial C5aR (CD88) expression correlates with amyloid-beta deposition in murine models of Alzheimer's disease.Journal of neurochemistry · 2010Article
- An empirical Bayesian approach for model-based inference of cellular signaling networks.BMC bioinformatics · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
Macrophage cells that are stimulated by two different ligands that bind to G-protein-coupled receptors (GPCRs) usually respond as if the stimulus effects are additive, but for a minority of ligand combinations the response is synergistic. The G-protein-coupled receptor system integrates signaling cues from the environment to actuate cell morphology, gene expression, ion homeostasis, and other physiological states. We analyze the effects of the two signaling molecules complement factors 5a (C5a) and uridine diphosphate (UDP) on the intracellular second messenger calcium to elucidate the principles that govern the processing of multiple signals by GPCRs. We have developed a formal hypothesis, in the form of a kinetic model, for the mechanism of action of this GPCR signal transduction system using data obtained from RAW264.7 macrophage cells. Bayesian statistical methods are employed to represent uncertainty in both data and model parameters and formally tie the model to experimental data. When the model is also used as a tool in the design of experiments, it predicts a synergistic region in the calcium peak height dose response that results when cells are simultaneously stimulated by C5a and UDP. An analysis of the model reveals a potential mechanism for crosstalk between the Galphai-coupled C5a receptor and the Galphaq-coupled UDP receptor signaling systems that results in synergistic calcium release.
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Registered trials
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.