Literature DB >> 6204698

Equilibrium theory for the clustering of bivalent cell surface receptors by trivalent ligands. Application to histamine release from basophils.

B Goldstein, A S Perelson.   

Abstract

For certain cell types, the cross-linking of bivalent cell surface receptors by multivalent ligands is an important biochemical step in the transmission of information across the cell's membrane to its interior. The formation of cell surface receptor-ligand aggregates has been shown to "turn on" and "turn off" particular cell responses. It has been hypothesized that very large aggregates generate signals that small aggregates cannot. This hypothesis has not been rigorously tested as yet, in part because of a lack of quantitative information about aggregate sizes. Here we develop a general equilibrium theory for the clustering of bivalent receptors by trivalent ligands. In addition to predicting the concentrations of receptor-ligand aggregates of all possible sizes, we show that a range of ligand concentrations exists at which extremely large aggregates, i.e., superaggregates, form on the cell surface. The formation of a superaggregate corresponds to a sol-gel phase transition, and we study this transition in some detail. For the biologically interesting case of histamine release by basophils, we show, using realistic parameter values, that such transitions should occur when the cells are from highly allergic individuals. We prescribe in detail experimental conditions under which such transitions should occur. These conditions can be used as a guide to test whether or not large aggregates provide signals to cells that small aggregates do not.

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Year:  1984        PMID: 6204698      PMCID: PMC1435006          DOI: 10.1016/S0006-3495(84)84259-9

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  33 in total

1.  Studies on the mechanisms of hypersensitivity phenomena. XIV. Passive sensitization in vitro of human leukocytes to ragweed pollen antigen.

Authors:  D A Levy; A G Osler
Journal:  J Immunol       Date:  1966-08       Impact factor: 5.422

2.  The immediate allergic response: in vitro separation of antigen activation, decay and histamine release.

Authors:  L M Lichtenstein
Journal:  J Immunol       Date:  1971-10       Impact factor: 5.422

3.  Histamine release from human leukocytes by anti-gamma E antibodies.

Authors:  T Ishizaka; K Ishizaka; S G Johansson; H Bennich
Journal:  J Immunol       Date:  1969-04       Impact factor: 5.422

4.  Measurement of IgE on human basophils: relation to serum IgE and anti-IgE-induced histamine release.

Authors:  M C Conroy; N F Adkinson; L M lichtenstein
Journal:  J Immunol       Date:  1977-04       Impact factor: 5.422

5.  Theory of equilibrium binding of symmetric bivalent haptens to cell surface antibody: application to histamine release from basophils.

Authors:  M Dembo; B Goldstein
Journal:  J Immunol       Date:  1978-07       Impact factor: 5.422

6.  Antibodies to purified insulin receptor have insulin-like activity.

Authors:  S Jacobs; K J Chang; P Cuatrecasas
Journal:  Science       Date:  1978-06-16       Impact factor: 47.728

7.  Dimeric immunoglobulin E serves as a unit signal for mast cell degranulation.

Authors:  D M Segal; J D Taurog; H Metzger
Journal:  Proc Natl Acad Sci U S A       Date:  1977-07       Impact factor: 11.205

8.  Triggering of histamine release from rat mast cells by divalent antibodies against IgE-receptors.

Authors:  T Ishizaka; K Ishizaka
Journal:  J Immunol       Date:  1978-03       Impact factor: 5.422

9.  Surface IgE on human basophils during histamine release.

Authors:  K E Becker; T Ishizaka; H Metzger; K Ishizaka; P M Grimley
Journal:  J Exp Med       Date:  1973-08-01       Impact factor: 14.307

10.  The interaction of IgE with rat basophilic leukemia cells. II. Quantitative aspects of the binding reaction.

Authors:  A Kulczycki; H Metzger
Journal:  J Exp Med       Date:  1974-12-01       Impact factor: 14.307

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  23 in total

1.  A thermodynamic model for receptor clustering.

Authors:  C Guo; H Levine
Journal:  Biophys J       Date:  1999-11       Impact factor: 4.033

2.  Efficient modeling, simulation and coarse-graining of biological complexity with NFsim.

Authors:  Michael W Sneddon; James R Faeder; Thierry Emonet
Journal:  Nat Methods       Date:  2010-12-26       Impact factor: 28.547

3.  Simulation of large-scale rule-based models.

Authors:  Joshua Colvin; Michael I Monine; James R Faeder; William S Hlavacek; Daniel D Von Hoff; Richard G Posner
Journal:  Bioinformatics       Date:  2009-02-11       Impact factor: 6.937

4.  Aggregation of membrane proteins by cytosolic cross-linkers: theory and simulation of the LAT-Grb2-SOS1 system.

Authors:  Ambarish Nag; Michael I Monine; James R Faeder; Byron Goldstein
Journal:  Biophys J       Date:  2009-04-08       Impact factor: 4.033

5.  Pleomorphic ensembles: formation of large clusters composed of weakly interacting multivalent molecules.

Authors:  Cibele V Falkenberg; Michael L Blinov; Leslie M Loew
Journal:  Biophys J       Date:  2013-12-03       Impact factor: 4.033

6.  Modeling multivalent ligand-receptor interactions with steric constraints on configurations of cell-surface receptor aggregates.

Authors:  Michael I Monine; Richard G Posner; Paul B Savage; James R Faeder; William S Hlavacek
Journal:  Biophys J       Date:  2010-01-06       Impact factor: 4.033

7.  The efficiency of reactant site sampling in network-free simulation of rule-based models for biochemical systems.

Authors:  Jin Yang; William S Hlavacek
Journal:  Phys Biol       Date:  2011-08-10       Impact factor: 2.583

8.  Gene regulation by substoichiometric heterocomplex formation of undecameric TRAP and trimeric anti-TRAP.

Authors:  Elihu C Ihms; Mowei Zhou; Yun Zhang; Ian R Kleckner; Craig A McElroy; Vicki H Wysocki; Paul Gollnick; Mark P Foster
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-18       Impact factor: 11.205

9.  Kinetic Monte Carlo method for rule-based modeling of biochemical networks.

Authors:  Jin Yang; Michael I Monine; James R Faeder; William S Hlavacek
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-09-10

10.  RuleMonkey: software for stochastic simulation of rule-based models.

Authors:  Joshua Colvin; Michael I Monine; Ryan N Gutenkunst; William S Hlavacek; Daniel D Von Hoff; Richard G Posner
Journal:  BMC Bioinformatics       Date:  2010-07-30       Impact factor: 3.169

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