Literature DB >> 19747931

Equilibrium mechanisms of receptor clustering.

Thomas Duke1, Ian Graham.   

Abstract

Receptor clustering is a well-established feature of transmembrane signalling. In some cellular systems, clusters form dynamically in response to activation by an extracellular ligand; in others, extensive 2-dimensional arrays of receptors persist for long periods of time on the cell surface. Compelling evidence has accumulated that the interactions between receptors within a cluster play an important role in the signalling process. Here, we review statistical mechanical models that describe how clusters may be generated and maintained by the equilibrium thermodynamic interactions between receptors, the extracellular ligands that bind to their periplasmic domains, and cytosolic 'adaptor proteins' that bind to the cytoplasmic domains of the receptors. We discuss how adaptor proteins might permit cells to exert control over the propensity of cluster formation, and to target clusters to specific locations on the cell surface. We further outline how differential interactions between active and inactive receptors can enhance the sensitivity of the cellular response through the mechanism of 'conformational spread'.

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Year:  2009        PMID: 19747931     DOI: 10.1016/j.pbiomolbio.2009.08.003

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  9 in total

1.  The tumor necrosis factor receptor stalk regions define responsiveness to soluble versus membrane-bound ligand.

Authors:  Christine Richter; Sylvia Messerschmidt; Gerlinde Holeiter; Jessica Tepperink; Sylvia Osswald; Andrea Zappe; Marcus Branschädel; Verena Boschert; Derek A Mann; Peter Scheurich; Anja Krippner-Heidenreich
Journal:  Mol Cell Biol       Date:  2012-04-30       Impact factor: 4.272

2.  A model of cell surface receptor aggregation.

Authors:  D Iron; J Rumsey
Journal:  J Math Biol       Date:  2017-01-25       Impact factor: 2.259

Review 3.  Supported lipid bilayer platforms to probe cell mechanobiology.

Authors:  Roxanne Glazier; Khalid Salaita
Journal:  Biochim Biophys Acta Biomembr       Date:  2017-05-11       Impact factor: 3.747

4.  Functional isolation of activated and unilaterally phosphorylated heterodimers of ERBB2 and ERBB3 as scaffolds in ligand-dependent signaling.

Authors:  Qian Zhang; Euisun Park; Kian Kani; Ralf Landgraf
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-25       Impact factor: 11.205

5.  Monte Carlo simulations of plasma membrane corral-induced EGFR clustering.

Authors:  Michelle N Costa; Krishnan Radhakrishnan; Jeremy S Edwards
Journal:  J Biotechnol       Date:  2010-12-15       Impact factor: 3.307

Review 6.  Signaling in the crowded cell.

Authors:  Ruth Nussinov; Chung-Jung Tsai; Hyunbum Jang
Journal:  Curr Opin Struct Biol       Date:  2021-07-02       Impact factor: 6.809

7.  A simplified Bcl-2 network model reveals quantitative determinants of cell-to-cell variation in sensitivity to anti-mitotic chemotherapeutics.

Authors:  Hao Yuan Kueh; Yanting Zhu; Jue Shi
Journal:  Sci Rep       Date:  2016-11-04       Impact factor: 4.379

8.  Influence of PECAM-1 ligand interactions on PECAM-1-dependent cell motility and filopodia extension.

Authors:  Valsamma Abraham; Andrew Parambath; Debria S Joe; Horace M DeLisser
Journal:  Physiol Rep       Date:  2016-11

Review 9.  Modeling Receptor Motility along Advecting Lipid Membranes.

Authors:  Matteo Arricca; Alberto Salvadori; Claudia Bonanno; Mattia Serpelloni
Journal:  Membranes (Basel)       Date:  2022-06-25
  9 in total

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