Literature DB >> 7919030

Testing for microscopic reversibility in the gating of maxi K+ channels using two-dimensional dwell-time distributions.

L Song1, K L Magleby.   

Abstract

An assumption usually made when developing kinetic models for the gating of ion channels is that the transitions among the various states involved in the gating obey microscopic reversibility. If this assumption is incorrect, then the models and estimated rate constants made with the assumption would be in error. This paper examines whether the gating of a large conductance Ca-activated K+ channel in skeletal muscle is consistent with microscopic reversibility. If microscopic reversibility is obeyed, then the number of forward and backward transitions per unit time for each individual reaction step will, on average, be identical and, consequently, the gating must show time reversibility. To look for time reversibility, two-dimensional dwell-time distributions of the durations of open and closed intervals were obtained from single-channel current records analyzed in the forward and in the backward directions. Two-dimensional dwell-time distributions of pairs of open intervals and of pairs of closed intervals were also analyzed to extend the resolution of the method to special circumstances in which intervals from different closed (or open) states might have similar durations. No significant differences were observed between the forward and backward analysis of the two-dimensional dwell-time distributions, suggesting time reversibility. Thus, we find no evidence to indicate that the gating of the maxi K+ channel violates microscopic reversibility.

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Year:  1994        PMID: 7919030      PMCID: PMC1225338          DOI: 10.1016/S0006-3495(94)80458-8

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


  32 in total

1.  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

2.  Identifying kinetic gating mechanisms for ion channels by using two-dimensional distributions of simulated dwell times.

Authors:  K L Magleby; D S Weiss
Journal:  Proc Biol Sci       Date:  1990-09-22       Impact factor: 5.349

3.  Possible forms for dwell-time histograms from single-channel current records.

Authors:  M T Kirber; J J Singer; J V Walsh; M S Fuller; R A Peura
Journal:  J Theor Biol       Date:  1985-09-07       Impact factor: 2.691

4.  Sampling, log binning, fitting, and plotting durations of open and shut intervals from single channels and the effects of noise.

Authors:  O B McManus; A L Blatz; K L Magleby
Journal:  Pflugers Arch       Date:  1987-11       Impact factor: 3.657

Review 5.  Conductance fluctuations and ionic pores in membranes.

Authors:  E Neher; C F Stevens
Journal:  Annu Rev Biophys Bioeng       Date:  1977

6.  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

7.  Single channel recordings of Ca2+-activated K+ currents in rat muscle cell culture.

Authors:  B S Pallotta; K L Magleby; J N Barrett
Journal:  Nature       Date:  1981-10-08       Impact factor: 49.962

8.  Ca-dependent K channels with large unitary conductance in chromaffin cell membranes.

Authors:  A Marty
Journal:  Nature       Date:  1981-06-11       Impact factor: 49.962

9.  Fast events in single-channel currents activated by acetylcholine and its analogues at the frog muscle end-plate.

Authors:  D Colquhoun; B Sakmann
Journal:  J Physiol       Date:  1985-12       Impact factor: 5.182

10.  Accounting for the Ca(2+)-dependent kinetics of single large-conductance Ca(2+)-activated K+ channels in rat skeletal muscle.

Authors:  O B McManus; K L Magleby
Journal:  J Physiol       Date:  1991-11       Impact factor: 5.182

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  23 in total

1.  The effects of non-identifiability on testing for detailed balance in aggregated Markov models for ion-channel gating.

Authors:  M Wagner; J Timmer
Journal:  Biophys J       Date:  2000-12       Impact factor: 4.033

2.  How to impose microscopic reversibility in complex reaction mechanisms.

Authors:  David Colquhoun; Kathryn A Dowsland; Marco Beato; Andrew J R Plested
Journal:  Biophys J       Date:  2004-06       Impact factor: 4.033

3.  Maximum likelihood estimation of ion channel kinetics from macroscopic currents.

Authors:  Lorin S Milescu; Gustav Akk; Frederick Sachs
Journal:  Biophys J       Date:  2005-01-28       Impact factor: 4.033

4.  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

5.  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

6.  Two-dimensional components and hidden dependencies provide insight into ion channel gating mechanisms.

Authors:  B S Rothberg; R A Bello; K L Magleby
Journal:  Biophys J       Date:  1997-06       Impact factor: 4.033

7.  External barium influences the gating charge movement of Shaker potassium channels.

Authors:  R S Hurst; M J Roux; L Toro; E Stefani
Journal:  Biophys J       Date:  1997-01       Impact factor: 4.033

Review 8.  Transduction of voltage and Ca2+ signals by Slo1 BK channels.

Authors:  T Hoshi; A Pantazis; R Olcese
Journal:  Physiology (Bethesda)       Date:  2013-05

9.  Coupling and cooperativity in voltage activation of a limited-state BK channel gating in saturating Ca2+.

Authors:  Christopher Shelley; Xiaowei Niu; Yanyan Geng; Karl L Magleby
Journal:  J Gen Physiol       Date:  2010-05       Impact factor: 4.086

10.  Calcium regulation of single ryanodine receptor channel gating analyzed using HMM/MCMC statistical methods.

Authors:  Rafael A Rosales; Michael Fill; Ariel L Escobar
Journal:  J Gen Physiol       Date:  2004-05       Impact factor: 4.086

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