Literature DB >> 18761019

Collision coupling, crosstalk, and compartmentalization in G-protein coupled receptor systems: can a single model explain disparate results?

Christopher J Brinkerhoff1, John R Traynor, Jennifer J Linderman.   

Abstract

The collision coupling model describes interactions between receptors and G-proteins as first requiring the molecules to find each other by diffusion. A variety of experimental data on G-protein activation have been interpreted as suggesting (or not) the compartmentalization of receptors and/or G-proteins in addition to a collision coupling mechanism. In this work, we use a mathematical model of G-protein activation via collision coupling but without compartmentalization to demonstrate that these disparate observations do not imply the existence of such compartments. In experiments with GTP analogs (commonly GTPgammaS), the extent of G-protein activation is predicted to be a function of both receptor number and the rate of GTP analog hydrolysis. The sensitivity of G-protein activation to receptor number is shown to be dependent upon the assay used, with the sensitivity of phosphate production assays (GTPase) >GTPgammaS-binding assays >cAMP inhibition assays. Finally, the amount of competition or crosstalk between receptor species activating the same type of G-proteins is predicted to depend on receptor and G-protein number, but in some (common) experimental regimes this dependence is expected to be minimal. Taken together, these observations suggest that the collision coupling model, without compartments of receptors and/or G-proteins, is sufficient to explain a variety of observations in literature data.

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Year:  2008        PMID: 18761019      PMCID: PMC2917770          DOI: 10.1016/j.jtbi.2008.08.003

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  45 in total

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Journal:  Mol Pharmacol       Date:  1997-08       Impact factor: 4.436

2.  G protein activation by human dopamine D3 receptors in high-expressing Chinese hamster ovary cells: A guanosine-5'-O-(3-[35S]thio)- triphosphate binding and antibody study.

Authors:  A Newman-Tancredi; D Cussac; V Audinot; V Pasteau; S Gavaudan; M J Millan
Journal:  Mol Pharmacol       Date:  1999-03       Impact factor: 4.436

3.  Estimation of the kinetic constants for binding of epinephrine to beta-adrenergic receptors of the S49 cell.

Authors:  D Stickle; R Barber
Journal:  Biochem Pharmacol       Date:  1991-08-08       Impact factor: 5.858

4.  Emergent properties of networks of biological signaling pathways.

Authors:  U S Bhalla; R Iyengar
Journal:  Science       Date:  1999-01-15       Impact factor: 47.728

5.  Threshold and graded response behavior in human neutrophils: effect of varying G-protein or ligand concentrations.

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Journal:  Biochemistry       Date:  1998-08-18       Impact factor: 3.162

6.  Calculation of diffusion-limited kinetics for the reactions in collision coupling and receptor cross-linking.

Authors:  L D Shea; G M Omann; J J Linderman
Journal:  Biophys J       Date:  1997-12       Impact factor: 4.033

7.  Compartmentation of receptors and guanine nucleotide-binding proteins in NG108-15 cells: lack of cross-talk in agonist binding among the alpha 2-adrenergic, muscarinic, and opiate receptors.

Authors:  D Graeser; R R Neubig
Journal:  Mol Pharmacol       Date:  1993-03       Impact factor: 4.436

8.  Rapid GTP binding and hydrolysis by G(q) promoted by receptor and GTPase-activating proteins.

Authors:  S Mukhopadhyay; E M Ross
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-17       Impact factor: 11.205

9.  Go mediates the coupling of the mu opioid receptor to adenylyl cyclase in cloned neural cells and brain.

Authors:  B D Carter; F Medzihradsky
Journal:  Proc Natl Acad Sci U S A       Date:  1993-05-01       Impact factor: 11.205

10.  Cannabinoid receptor agonist efficacy for stimulating [35S]GTPgammaS binding to rat cerebellar membranes correlates with agonist-induced decreases in GDP affinity.

Authors:  C S Breivogel; D E Selley; S R Childers
Journal:  J Biol Chem       Date:  1998-07-03       Impact factor: 5.157

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  7 in total

Review 1.  Use of the GTPγS ([35S]GTPγS and Eu-GTPγS) binding assay for analysis of ligand potency and efficacy at G protein-coupled receptors.

Authors:  Philip G Strange
Journal:  Br J Pharmacol       Date:  2010-11       Impact factor: 8.739

2.  Gi/o-coupled receptors compete for signaling to adenylyl cyclase in SH-SY5Y cells and reduce opioid-mediated cAMP overshoot.

Authors:  Erica S Levitt; Lauren C Purington; John R Traynor
Journal:  Mol Pharmacol       Date:  2010-11-22       Impact factor: 4.436

3.  Dynamics of mouse rod phototransduction and its sensitivity to variation of key parameters.

Authors:  L Shen; G Caruso; P Bisegna; D Andreucci; V V Gurevich; H E Hamm; E DiBenedetto
Journal:  IET Syst Biol       Date:  2010-01       Impact factor: 1.615

4.  Lipid raft-mediated regulation of G-protein coupled receptor signaling by ligands which influence receptor dimerization: a computational study.

Authors:  Mohammad Fallahi-Sichani; Jennifer J Linderman
Journal:  PLoS One       Date:  2009-08-11       Impact factor: 3.240

5.  Pancreatic Beta Cell G-Protein Coupled Receptors and Second Messenger Interactions: A Systems Biology Computational Analysis.

Authors:  Leonid E Fridlyand; Louis H Philipson
Journal:  PLoS One       Date:  2016-05-03       Impact factor: 3.240

6.  Mating yeast cells use an intrinsic polarity site to assemble a pheromone-gradient tracking machine.

Authors:  Xin Wang; Wei Tian; Bryan T Banh; Bethanie-Michelle Statler; Jie Liang; David E Stone
Journal:  J Cell Biol       Date:  2019-09-30       Impact factor: 10.539

7.  Segregation and crosstalk of D1 receptor-mediated activation of ERK in striatal medium spiny neurons upon acute administration of psychostimulants.

Authors:  Omar Gutierrez-Arenas; Olivia Eriksson; Jeanette Hellgren Kotaleski
Journal:  PLoS Comput Biol       Date:  2014-01-30       Impact factor: 4.475

  7 in total

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