Literature DB >> 10672509

Transport effects on surface-volume biological reactions.

D A Edwards1, B Goldstein, D S Cohen.   

Abstract

Many cellular reactions involve a reactant in solution binding to or dissociating from a reactant confined to a surface. This is true as well for a BIAcore, an optical biosensor that is widely used to study the interaction of biomolecules. In the flow cell of this instrument, one of the reactants is immobilized on a flat sensor surface while the other reactant flows past the surface. Both diffusion and convection play important roles in bringing the reactants into contact. Usually BIAcore binding data are analyzed using well known expressions that are valid only in the reaction-limited case when the Damköhler number Da is small. Asymptotic and singular perturbation techniques are used to analyze dissociation of the bound state when Da is small and O(1). Linear and nonlinear integral equations result from the analysis; explicit and asymptotic solutions are constructed for physically realizable cases. In addition, effective rate constants are derived that illustrate the effects of transport on the measured rate constants. All these expressions provide a direct way to estimate the rate constants from BIAcore binding data.

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Year:  1999        PMID: 10672509     DOI: 10.1007/s002850050177

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  8 in total

1.  Effective rate models for receptors distributed in a layer above a surface: application to cells and Biacore.

Authors:  Carla Wofsy; Byron Goldstein
Journal:  Biophys J       Date:  2002-04       Impact factor: 4.033

2.  Refining the measurement of rate constants in the BIAcore.

Authors:  David A Edwards
Journal:  J Math Biol       Date:  2004-04-23       Impact factor: 2.259

3.  Steric hindrance effects on surface reactions: applications to BIAcore.

Authors:  David A Edwards
Journal:  J Math Biol       Date:  2007-05-25       Impact factor: 2.259

4.  Modelling crystal aggregation and deposition in the catheterised lower urinary tract.

Authors:  L R Band; L J Cummings; S L Waters; J A D Wattis
Journal:  J Math Biol       Date:  2009-02-27       Impact factor: 2.259

5.  A flow sensing model for mesenchymal stromal cells using morphogen dynamics.

Authors:  Michael Gortchacow; Alexandre Terrier; Dominique P Pioletti
Journal:  Biophys J       Date:  2013-05-21       Impact factor: 4.033

6.  Ligand rebinding: self-consistent mean-field theory and numerical simulations applied to surface plasmon resonance studies.

Authors:  Manoj Gopalakrishnan; Kimberly Forsten-Williams; Theresa R Cassino; Luz Padro; Thomas E Ryan; Uwe C Täuber
Journal:  Eur Biophys J       Date:  2005-04-06       Impact factor: 1.733

7.  Receptor heterogeneity in optical biosensors.

Authors:  Ryan M Evans; David A Edwards
Journal:  J Math Biol       Date:  2017-07-13       Impact factor: 2.259

8.  Numerical study of in situ preconcentration for rapid and sensitive nanoparticle detection.

Authors:  Kai Yang; Jie Wu
Journal:  Biomicrofluidics       Date:  2010-08-12       Impact factor: 2.800

  8 in total

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