Literature DB >> 2447973

Theory of the kinetic analysis of patch-clamp data.

R J Bauer1, B F Bowman, J L Kenyon.   

Abstract

This paper describes a theory of the kinetic analysis of patch-clamp data. We assume that channel gating is a Markov process that can be described by a model consisting of n kinetic states and n(n - 1) rate constants at each voltage, and that patch-clamp data describe the occupancy of x different conductance levels over time. In general, all the kinetic information in a set of patch-clamp data is found in either two-dimensional dwell time histograms describing the frequency of observation of sequential dwell times of durations tau 1 and tau 2 (Fredkin, D. R., M. Montal, and J. A. Rice, 1985, Proceedings of the Berkeley Conference in Honor of Jerzy Neyman and Jack Kiefer, vol. 1, 269-289) or in three-point joint probability functions describing the probability that a channel is in a given conductance at time t, and at time t + tau 1, and at time t + tau 1 + tau 2. For the special case of channels with a single open state plus multiple closed states, one-dimensional analyses provide all of the kinetic information. Stationary patch-clamp data have information that can be used to determine H rate constants, where H = n(n - 1) - G and G is the number of intraconductance rate constants. Thus, to calculate H rate constants, G rate constants must be fixed. In general there are multiple sets of G rate constants that can be fixed to allow the calculation of H rate constants although not every set of G rate constants will work. Arbitrary assignment of the G intraconductance rate constants equal to zero always provides a solution and the calculation of H rate constants. Nonstationary patch-clamp data have information for the determination of H rate constants at a reference voltage plus n(n - 1) rate constants at all test voltages. Thus, nonstationary data have extra information about the voltage dependencies of rate constants that can be used to rule out kinetic models that cannot be disqualified on the basis of stationary data.

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Year:  1987        PMID: 2447973      PMCID: PMC1330095          DOI: 10.1016/S0006-3495(87)83289-7

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


  17 in total

1.  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

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

Authors:  D Colquhoun; A G Hawkes
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1982-12-24       Impact factor: 6.237

3.  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

4.  Improved patch-clamp techniques for high-resolution current recording from cells and cell-free membrane patches.

Authors:  O P Hamill; A Marty; E Neher; B Sakmann; F J Sigworth
Journal:  Pflugers Arch       Date:  1981-08       Impact factor: 3.657

5.  Covariance of nonstationary sodium current fluctuations at the node of Ranvier.

Authors:  F J Sigworth
Journal:  Biophys J       Date:  1981-04       Impact factor: 4.033

6.  Estimating kinetic constants from single channel data.

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

7.  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

8.  The acetylcholine receptor channel from Torpedo californica has two open states.

Authors:  P Labarca; J Lindstrom; M Montal
Journal:  J Neurosci       Date:  1984-02       Impact factor: 6.167

9.  Multiple-conductance channels activated by excitatory amino acids in cerebellar neurons.

Authors:  S G Cull-Candy; M M Usowicz
Journal:  Nature       Date:  1987 Feb 5-11       Impact factor: 49.962

10.  Statistical properties of single sodium channels.

Authors:  R Horn; C A Vandenberg
Journal:  J Gen Physiol       Date:  1984-10       Impact factor: 4.086

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  19 in total

1.  The quality of maximum likelihood estimates of ion channel rate constants.

Authors:  D Colquhoun; C J Hatton; A G Hawkes
Journal:  J Physiol       Date:  2003-01-24       Impact factor: 5.182

2.  Voltage-dependent gating mechanism for single fast chloride channels from rat skeletal muscle.

Authors:  D S Weiss; K L Magleby
Journal:  J Physiol       Date:  1992       Impact factor: 5.182

3.  Using independent open-to-closed transitions to simplify aggregated Markov models of ion channel gating kinetics.

Authors:  William J Bruno; Jin Yang; John E Pearson
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-20       Impact factor: 11.205

4.  Maximum likelihood estimation of molecular motor kinetics from staircase dwell-time sequences.

Authors:  Lorin S Milescu; Ahmet Yildiz; Paul R Selvin; Frederick Sachs
Journal:  Biophys J       Date:  2006-05-05       Impact factor: 4.033

5.  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

6.  Utilizing the information content in two-state trajectories.

Authors:  Ophir Flomenbom; Robert J Silbey
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-10       Impact factor: 11.205

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

Authors:  K L Magleby; D S Weiss
Journal:  Biophys J       Date:  1990-12       Impact factor: 4.033

8.  Use of conditioned distributions in the analysis of ion channel recordings.

Authors:  D Petracchi; M Barbi; M Pellegrini; M Pellegrino; A Simoni
Journal:  Eur Biophys J       Date:  1991       Impact factor: 1.733

Review 9.  Calcium-activated potassium channels: regulation by calcium.

Authors:  O B McManus
Journal:  J Bioenerg Biomembr       Date:  1991-08       Impact factor: 2.945

10.  Global parameter optimization for cardiac potassium channel gating models.

Authors:  J R Balser; D M Roden; P B Bennett
Journal:  Biophys J       Date:  1990-03       Impact factor: 4.033

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