Ligand-receptor binding kinetics in surface plasmon resonance cells: a Monte Carlo analysis.

Abstract:

:Surface plasmon resonance (SPR) chips are widely used to measure association and dissociation rates for the binding kinetics between two species of chemicals, e.g., cell receptors and ligands. It is commonly assumed that ligands are spatially well mixed in the SPR region, and hence a mean-field rate equation description is appropriate. This approximation however ignores the spatial fluctuations as well as temporal correlations induced by multiple local rebinding events, which become prominent for slow diffusion rates and high binding affinities. We report detailed Monte Carlo simulations of ligand binding kinetics in an SPR cell subject to laminar flow. We extract the binding and dissociation rates by means of the techniques frequently employed in experimental analysis that are motivated by the mean-field approximation. We find major discrepancies in a wide parameter regime between the thus extracted rates and the known input simulation values. These results underscore the crucial quantitative importance of spatio-temporal correlations in binary reaction kinetics in SPR cell geometries, and demonstrate the failure of a mean-field analysis of SPR cells in the regime of high Damköhler number [Formula: see text], where the spatio-temporal correlations due to diffusive transport and ligand-receptor rebinding events dominate the dynamics of SPR systems.

journal_name

Phys Biol

journal_title

Physical biology

authors

Carroll J,Raum M,Forsten-Williams K,Täuber UC

doi

10.1088/1478-3975/13/6/066010

subject

Has Abstract

pub_date

2016-12-06 00:00:00

pages

066010

issue

6

eissn

1478-3967

issn

1478-3975

journal_volume

13

pub_type

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