Literature DB >> 22755586

Origins of concentration dependence of waiting times for single-molecule fluorescence binding.

Jin Yang1, John E Pearson.   

Abstract

Binary fluorescence time series obtained from single-molecule imaging experiments can be used to infer protein binding kinetics, in particular, association and dissociation rate constants from waiting time statistics of fluorescence intensity changes. In many cases, rate constants inferred from fluorescence time series exhibit nonintuitive dependence on ligand concentration. Here, we examine several possible mechanistic and technical origins that may induce ligand dependence of rate constants. Using aggregated Markov models, we show under the condition of detailed balance that non-fluorescent bindings and missed events due to transient interactions, instead of conformation fluctuations, may underly the dependence of waiting times and thus apparent rate constants on ligand concentrations. In general, waiting times are rational functions of ligand concentration. The shape of concentration dependence is qualitatively affected by the number of binding sites in the single molecule and is quantitatively tuned by model parameters. We also show that ligand dependence can be caused by non-equilibrium conditions which result in violations of detailed balance and require an energy source. As to a different but significant mechanism, we examine the effect of ambient buffers that can substantially reduce the effective concentration of ligands that interact with the single molecules. To demonstrate the effects by these mechanisms, we applied our results to analyze the concentration dependence in a single-molecule experiment EGFR binding to fluorophore-labeled adaptor protein Grb2 by Morimatsu et al. [Proc. Natl. Acad. Sci. U.S.A. 104, 18013 (2007)].

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Year:  2012        PMID: 22755586      PMCID: PMC3396705          DOI: 10.1063/1.4729947

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  21 in total

1.  A single-molecule study of RNA catalysis and folding.

Authors:  X Zhuang; L E Bartley; H P Babcock; R Russell; T Ha; D Herschlag; S Chu
Journal:  Science       Date:  2000-06-16       Impact factor: 47.728

2.  Stretched exponential decay and correlations in the catalytic activity of fluctuating single lipase molecules.

Authors:  Ophir Flomenbom; Kelly Velonia; Davey Loos; Sadahiro Masuo; Mircea Cotlet; Yves Engelborghs; Johan Hofkens; Alan E Rowan; Roeland J M Nolte; Mark Van der Auweraer; Frans C de Schryver; Joseph Klafter
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-04       Impact factor: 11.205

3.  Yet another approach to the dwell-time omission problem of single-channel analysis.

Authors:  S C Crouzy; F J Sigworth
Journal:  Biophys J       Date:  1990-09       Impact factor: 4.033

4.  A general solution to the time interval omission problem applied to single channel analysis.

Authors:  B Roux; R Sauvé
Journal:  Biophys J       Date:  1985-07       Impact factor: 4.033

5.  Michaelis-Menten equation and detailed balance in enzymatic networks.

Authors:  Jianshu Cao
Journal:  J Phys Chem B       Date:  2011-04-05       Impact factor: 2.991

6.  Estimating single-channel kinetic parameters from idealized patch-clamp data containing missed events.

Authors:  F Qin; A Auerbach; F Sachs
Journal:  Biophys J       Date:  1996-01       Impact factor: 4.033

7.  On the stochastic properties of single ion channels.

Authors:  D Colquhoun; A G Hawkes
Journal:  Proc R Soc Lond B Biol Sci       Date:  1981-03-06

8.  The Grb2-mSos1 complex binds phosphopeptides with higher affinity than Grb2.

Authors:  Y M Chook; G D Gish; C M Kay; E F Pai; T Pawson
Journal:  J Biol Chem       Date:  1996-11-29       Impact factor: 5.157

9.  Single-molecule enzymatic dynamics.

Authors:  H P Lu; L Xun; X S Xie
Journal:  Science       Date:  1998-12-04       Impact factor: 47.728

10.  Hierarchy of binding sites for Grb2 and Shc on the epidermal growth factor receptor.

Authors:  A G Batzer; D Rotin; J M Ureña; E Y Skolnik; J Schlessinger
Journal:  Mol Cell Biol       Date:  1994-08       Impact factor: 4.272

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