Literature DB >> 8702483

Receptor up-regulation, internalization, and interconverting receptor states. Critical components of a quantitative description of N-formyl peptide-receptor dynamics in the neutrophil.

J F Hoffman1, J J Linderman, G M Omann.   

Abstract

High resolution kinetic data of the binding of fluorescent peptide to the N-formyl peptide receptor of neutrophils at 37 degrees C has allowed for the development of a ligand binding model that predicts statistically larger binding rate constants than those previously reported for intact neutrophils. The new model accounts for ligand association and dissociation, receptor up-regulation, ligand-receptor complex internalization, a change in receptor affinity, and the quenching of internalized fluorescent ligand. We determined that receptor up-regulation is both agonist- and temperature-induced and is inhibited by both phenylarsine oxide and pertussis toxin treatment. Model fits of ligand association to pertussis toxin-treated cells show that while receptor up-regulation was inhibited, rate constants for ligand binding, receptor affinity conversion, and internalization of ligand-receptor complexes were unaffected. Results suggest Gi-protein-mediated receptor up-regulation and Gi-protein-independent receptor affinity conversion. Simulation of ligand infusion using our model gives insight into the quantitative and dynamic relationship between the low affinity ligand-receptor complex and the actin polymerization response.

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Year:  1996        PMID: 8702483     DOI: 10.1074/jbc.271.31.18394

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  12 in total

1.  Monte Carlo simulations of receptor dynamics: insights into cell signaling.

Authors:  Christopher J Brinkerhoff; Peter J Woolf; Jennifer J Linderman
Journal:  J Mol Histol       Date:  2004-09       Impact factor: 2.611

2.  Resonant waveguide grating biosensor for living cell sensing.

Authors:  Ye Fang; Ann M Ferrie; Norman H Fontaine; John Mauro; Jitendra Balakrishnan
Journal:  Biophys J       Date:  2006-06-09       Impact factor: 4.033

3.  Biased random walk by stochastic fluctuations of chemoattractant-receptor interactions at the lower limit of detection.

Authors:  Peter J M van Haastert; Marten Postma
Journal:  Biophys J       Date:  2007-05-18       Impact factor: 4.033

4.  A kinetic model for calcium dynamics in RAW 264.7 cells: 2. Knockdown response and long-term response.

Authors:  Mano Ram Maurya; Shankar Subramaniam
Journal:  Biophys J       Date:  2007-05-04       Impact factor: 4.033

Review 5.  Fluorescent approaches for understanding interactions of ligands with G protein coupled receptors.

Authors:  Rajashri Sridharan; Jeffrey Zuber; Sara M Connelly; Elizabeth Mathew; Mark E Dumont
Journal:  Biochim Biophys Acta       Date:  2013-09-18

6.  A model for migratory B cell oscillations from receptor down-regulation induced by external chemokine fields.

Authors:  Cliburn Chan; Matthew Billard; Samuel A Ramirez; Harald Schmidl; Eric Monson; Thomas B Kepler
Journal:  Bull Math Biol       Date:  2013-01-08       Impact factor: 1.758

7.  Modeling the role of homologous receptor desensitization in cell gradient sensing.

Authors:  Francis Lin; Eugene C Butcher
Journal:  J Immunol       Date:  2008-12-15       Impact factor: 5.422

8.  A kinetic model for calcium dynamics in RAW 264.7 cells: 1. Mechanisms, parameters, and subpopulational variability.

Authors:  Mano Ram Maurya; Shankar Subramaniam
Journal:  Biophys J       Date:  2007-05-04       Impact factor: 4.033

9.  PACAP-induced ERK activation in HEK cells expressing PAC1 receptors involves both receptor internalization and PKC signaling.

Authors:  Victor May; Thomas R Buttolph; Beatrice M Girard; Todd A Clason; Rodney L Parsons
Journal:  Am J Physiol Cell Physiol       Date:  2014-04-02       Impact factor: 4.249

10.  Modeling cell gradient sensing and migration in competing chemoattractant fields.

Authors:  Dan Wu; Francis Lin
Journal:  PLoS One       Date:  2011-04-29       Impact factor: 3.240

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