Literature DB >> 20733205

A detailed mathematical model predicts that serial engagement of IgE-Fc epsilon RI complexes can enhance Syk activation in mast cells.

Ambarish Nag1, Michael I Monine, Michael L Blinov, Byron Goldstein.   

Abstract

The term serial engagement was introduced to describe the ability of a single peptide, bound to a MHC molecule, to sequentially interact with TCRs within the contact region between a T cell and an APC. In addition to ligands on surfaces, soluble multivalent ligands can serially engage cell surface receptors with sites on the ligand, binding and dissociating from receptors many times before all ligand sites become free and the ligand leaves the surface. To evaluate the role of serial engagement in Syk activation, we use a detailed mathematical model of the initial signaling cascade that is triggered when FcepsilonRI is aggregated on mast cells by multivalent Ags. Although serial engagement is not required for mast cell signaling, it can influence the recruitment of Syk to the receptor and subsequent Syk phosphorylation. Simulating the response of mast cells to ligands that serially engage receptors at different rates shows that increasing the rate of serial engagement by increasing the rate of dissociation of the ligand-receptor bond decreases Syk phosphorylation. Increasing serial engagement by increasing the rate at which receptors are cross-linked (for example by increasing the forward rate constant for cross-linking or increasing the valence of the ligand) increases Syk phosphorylation. When serial engagement enhances Syk phosphorylation, it does so by partially reversing the effects of kinetic proofreading. Serial engagement rapidly returns receptors that have dissociated from aggregates to new aggregates before the receptors have fully returned to their basal state.

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Year:  2010        PMID: 20733205      PMCID: PMC3102320          DOI: 10.4049/jimmunol.1000326

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  39 in total

Review 1.  Kinetic proofreading model.

Authors:  Byron Goldstein; Daniel Coombs; James R Faeder; William S Hlavacek
Journal:  Adv Exp Med Biol       Date:  2008       Impact factor: 2.622

2.  Syk is activated by phosphotyrosine-containing peptides representing the tyrosine-based activation motifs of the high affinity receptor for IgE.

Authors:  L Shiue; M J Zoller; J S Brugge
Journal:  J Biol Chem       Date:  1995-05-05       Impact factor: 5.157

3.  Dynamics of signal transduction after aggregation of cell-surface receptors: studies on the type I receptor for IgE.

Authors:  U M Kent; S Y Mao; C Wofsy; B Goldstein; S Ross; H Metzger
Journal:  Proc Natl Acad Sci U S A       Date:  1994-04-12       Impact factor: 11.205

4.  Larger oligomers of IgE are more effective than dimers in stimulating rat basophilic leukemia cells.

Authors:  C Fewtrell; H Metzger
Journal:  J Immunol       Date:  1980-08       Impact factor: 5.422

5.  Dependence of T cell antigen recognition on T cell receptor-peptide MHC confinement time.

Authors:  Milos Aleksic; Omer Dushek; Hao Zhang; Eugene Shenderov; Ji-Li Chen; Vincenzo Cerundolo; Daniel Coombs; P Anton van der Merwe
Journal:  Immunity       Date:  2010-02-04       Impact factor: 31.745

Review 6.  T-cell receptor binding affinities and kinetics: impact on T-cell activity and specificity.

Authors:  Jennifer D Stone; Adam S Chervin; David M Kranz
Journal:  Immunology       Date:  2009-02       Impact factor: 7.397

7.  Small, mobile FcepsilonRI receptor aggregates are signaling competent.

Authors:  Nicholas L Andrews; Janet R Pfeiffer; A Marina Martinez; David M Haaland; Ryan W Davis; Toshiaki Kawakami; Janet M Oliver; Bridget S Wilson; Diane S Lidke
Journal:  Immunity       Date:  2009-09-10       Impact factor: 31.745

8.  Aggregation of the high-affinity IgE receptor and enhanced activity of p53/56lyn protein-tyrosine kinase.

Authors:  T Yamashita; S Y Mao; H Metzger
Journal:  Proc Natl Acad Sci U S A       Date:  1994-11-08       Impact factor: 11.205

9.  Cross-linking of receptor-bound IgE to aggregates larger than dimers leads to rapid immobilization.

Authors:  A K Menon; D Holowka; W W Webb; B Baird
Journal:  J Cell Biol       Date:  1986-02       Impact factor: 10.539

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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  8 in total

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Authors:  Michael L Blinov; Ion I Moraru
Journal:  Adv Exp Med Biol       Date:  2012       Impact factor: 2.622

Review 2.  Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems.

Authors:  Lily A Chylek; Leonard A Harris; Chang-Shung Tung; James R Faeder; Carlos F Lopez; William S Hlavacek
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-09-30

3.  Guidelines for visualizing and annotating rule-based models.

Authors:  Lily A Chylek; Bin Hu; Michael L Blinov; Thierry Emonet; James R Faeder; Byron Goldstein; Ryan N Gutenkunst; Jason M Haugh; Tomasz Lipniacki; Richard G Posner; Jin Yang; William S Hlavacek
Journal:  Mol Biosyst       Date:  2011-06-07

4.  A computational model for early events in B cell antigen receptor signaling: analysis of the roles of Lyn and Fyn.

Authors:  Dipak Barua; William S Hlavacek; Tomasz Lipniacki
Journal:  J Immunol       Date:  2012-06-18       Impact factor: 5.422

5.  The Process-Interaction-Model: a common representation of rule-based and logical models allows studying signal transduction on different levels of detail.

Authors:  Katrin Kolczyk; Regina Samaga; Holger Conzelmann; Sebastian Mirschel; Carsten Conradi
Journal:  BMC Bioinformatics       Date:  2012-09-28       Impact factor: 3.169

6.  A computational analysis of the dynamic roles of talin, Dok1, and PIPKI for integrin activation.

Authors:  Florian Geier; Georgios Fengos; Dagmar Iber
Journal:  PLoS One       Date:  2011-11-16       Impact factor: 3.240

Review 7.  An Interaction Library for the FcεRI Signaling Network.

Authors:  Lily A Chylek; David A Holowka; Barbara A Baird; William S Hlavacek
Journal:  Front Immunol       Date:  2014-04-15       Impact factor: 7.561

Review 8.  Mathematical Models for Immunology: Current State of the Art and Future Research Directions.

Authors:  Raluca Eftimie; Joseph J Gillard; Doreen A Cantrell
Journal:  Bull Math Biol       Date:  2016-10-06       Impact factor: 1.758

  8 in total

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