Literature DB >> 1703449

Estimating kinetic parameters for single channels with simulation. A general method that resolves the missed event problem and accounts for noise.

K L Magleby1, D S Weiss.   

Abstract

Analysis of currents recorded from single channels is complicated by the limited time resolution (filtering) of the data which can prevent the detection of brief intervals. Although a number of approaches have been used to correct for the undetected intervals (missed events) when identifying kinetic models and estimating parameters, none of them provide a general method which takes into account the true effects of noise and limited time resolution. This paper presents such a method. The approach is to use simulated single-channel currents to incorporate the true effects of filtering and noise on missed events and interval durations. The simulated currents are then analyzed in a manner identical to that used to analyze the experimental currents. An iterative search process using likelihood comparison of two-dimensional dwell-time distributions obtained from the simulated and experimental single-channel currents then allows the most likely rate constants to be determined. The large errors and false solutions that can result from the more typically applied assumptions of no noise and an absolute dead time (idealized filtering) are excluded by the iterative simulation method, and the correlation information contained in the two-dimensional distributions should increase the ability to distinguish among different gating mechanisms. The iterative simulation method is generally applicable to channels which typically open to a single conductance level. For these channels the method places no restrictions on the proposed gating mechanism or the form of the predicted dwell-time distributions.

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Year:  1990        PMID: 1703449      PMCID: PMC1281094          DOI: 10.1016/S0006-3495(90)82487-5

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  35 in total

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Authors:  C J Kerry; R L Ramsey; M S Sansom; P N Usherwood
Journal:  Biophys J       Date:  1988-01       Impact factor: 4.033

2.  Relaxation and fluctuations of membrane currents that flow through drug-operated channels.

Authors:  D Colquhoun; A G Hawkes
Journal:  Proc R Soc Lond B Biol Sci       Date:  1977-11-14

3.  Kinetic states and modes of single large-conductance calcium-activated potassium channels in cultured rat skeletal muscle.

Authors:  O B McManus; K L Magleby
Journal:  J Physiol       Date:  1988-08       Impact factor: 5.182

4.  On the stochastic properties of bursts of single ion channel openings and of clusters of bursts.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1982-12-24       Impact factor: 6.237

5.  The automated analysis of data from single ionic channels.

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6.  Estimating kinetic constants from single channel data.

Authors:  R Horn; K Lange
Journal:  Biophys J       Date:  1983-08       Impact factor: 4.033

7.  Calcium dependence of open and shut interval distributions from calcium-activated potassium channels in cultured rat muscle.

Authors:  K L Magleby; B S Pallotta
Journal:  J Physiol       Date:  1983-11       Impact factor: 5.182

8.  Relationship between membrane excitability and single channel open-close kinetics.

Authors:  J R Clay; L J DeFelice
Journal:  Biophys J       Date:  1983-05       Impact factor: 4.033

9.  Successive openings of the same acetylcholine receptor channel are correlated in open time.

Authors:  M B Jackson; B S Wong; C E Morris; H Lecar; C N Christian
Journal:  Biophys J       Date:  1983-04       Impact factor: 4.033

10.  Gating kinetics of Ca2+-activated K+ channels from rat muscle incorporated into planar lipid bilayers. Evidence for two voltage-dependent Ca2+ binding reactions.

Authors:  E Moczydlowski; R Latorre
Journal:  J Gen Physiol       Date:  1983-10       Impact factor: 4.086

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  33 in total

1.  Hidden Markov modeling for single channel kinetics with filtering and correlated noise.

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Journal:  Biophys J       Date:  2000-10       Impact factor: 4.033

2.  A direct optimization approach to hidden Markov modeling for single channel kinetics.

Authors:  F Qin; A Auerbach; F Sachs
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3.  Applying hidden Markov models to the analysis of single ion channel activity.

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Journal:  Biophys J       Date:  2002-04       Impact factor: 4.033

4.  Gating kinetics of batrachotoxin-modified Na+ channels in the squid giant axon. Voltage and temperature effects.

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Journal:  Biophys J       Date:  1992-05       Impact factor: 4.033

5.  Model-based fitting of single-channel dwell-time distributions.

Authors:  Feng Qin; Ling Li
Journal:  Biophys J       Date:  2004-09       Impact factor: 4.033

6.  A subsequent fit of time series and amplitude histogram of patch-clamp records reveals rate constants up to 1 per microsecond.

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Journal:  J Membr Biol       Date:  2005-01       Impact factor: 1.843

7.  Effects of pipette geometry on the time course of solution change in patch clamp experiments.

Authors:  M B Cannell; C G Nichols
Journal:  Biophys J       Date:  1991-11       Impact factor: 4.033

8.  Analysis of kinetics in noisy systems: application to single molecule tethered particle motion.

Authors:  F Vanzi; L Sacconi; F S Pavone
Journal:  Biophys J       Date:  2007-04-13       Impact factor: 4.033

9.  The power of two-dimensional dwell-time analysis for model discrimination, temporal resolution, multichannel analysis and level detection.

Authors:  Tobias Huth; Indra Schroeder; Ulf-Peter Hansen
Journal:  J Membr Biol       Date:  2007-06-06       Impact factor: 1.843

10.  Modeling of single noninactivating Na+ channels: evidence for two open and several fast inactivated states.

Authors:  Yu-Kai The; Jacqueline Fernandes; M Oana Popa; Alexi K Alekov; Jens Timmer; Holger Lerche
Journal:  Biophys J       Date:  2006-03-02       Impact factor: 4.033

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