Literature DB >> 19450470

Allosteric control of gating mechanisms revisited: the large conductance Ca2+-activated K+ channel.

Rafael A Rosales1, Wamberto A Varanda.   

Abstract

Large-conductance Ca(2+)-activated K(+) channels (BK) play a fundamental role in modulating membrane potential in many cell types. The gating of BK channels and its modulation by Ca(2+) and voltage has been the subject of intensive research over almost three decades, yielding several of the most complicated kinetic mechanisms ever proposed. A large number of open and closed states disposed, respectively, in two planes, named tiers, characterize these mechanisms. Transitions between states in the same plane are cooperative and modulated by Ca(2+). Transitions across planes are highly concerted and voltage-dependent. Here we reexamine the validity of the two-tiered hypothesis by restricting attention to the modulation by Ca(2+). Large single channel data sets at five Ca(2+) concentrations were simultaneously analyzed from a Bayesian perspective by using hidden Markov models and Markov-chain Monte Carlo stochastic integration techniques. Our results support a dramatic reduction in model complexity, favoring a simple mechanism derived from the Monod-Wyman-Changeux allosteric model for homotetramers, able to explain the Ca(2+) modulation of the gating process. This model differs from the standard Monod-Wyman-Changeux scheme in that one distinguishes when two Ca(2+) ions are bound to adjacent or diagonal subunits of the tetramer.

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Year:  2009        PMID: 19450470      PMCID: PMC2712236          DOI: 10.1016/j.bpj.2009.02.042

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


  23 in total

1.  Allosteric linkage between voltage and Ca(2+)-dependent activation of BK-type mslo1 K(+) channels.

Authors:  J Cui; R W Aldrich
Journal:  Biochemistry       Date:  2000-12-19       Impact factor: 3.162

2.  Kernel estimates for one- and two-dimensional ion channel dwell-time densities.

Authors:  Rafael A Rosales; William J Fitzgerald; Stephen B Hladky
Journal:  Biophys J       Date:  2002-01       Impact factor: 4.033

3.  Allosteric gating of a large conductance Ca-activated K+ channel.

Authors:  D H Cox; J Cui; R W Aldrich
Journal:  J Gen Physiol       Date:  1997-09       Impact factor: 4.086

4.  ON THE NATURE OF ALLOSTERIC TRANSITIONS: A PLAUSIBLE MODEL.

Authors:  J MONOD; J WYMAN; J P CHANGEUX
Journal:  J Mol Biol       Date:  1965-05       Impact factor: 5.469

5.  Voltage and Ca2+ activation of single large-conductance Ca2+-activated K+ channels described by a two-tiered allosteric gating mechanism.

Authors:  B S Rothberg; K L Magleby
Journal:  J Gen Physiol       Date:  2000-07-01       Impact factor: 4.086

6.  Gating kinetics of single large-conductance Ca2+-activated K+ channels in high Ca2+ suggest a two-tiered allosteric gating mechanism.

Authors:  B S Rothberg; K L Magleby
Journal:  J Gen Physiol       Date:  1999-07       Impact factor: 4.086

7.  Allosteric voltage gating of potassium channels II. Mslo channel gating charge movement in the absence of Ca(2+).

Authors:  F T Horrigan; R W Aldrich
Journal:  J Gen Physiol       Date:  1999-08       Impact factor: 4.086

8.  Allosteric voltage gating of potassium channels I. Mslo ionic currents in the absence of Ca(2+).

Authors:  F T Horrigan; J Cui; R W Aldrich
Journal:  J Gen Physiol       Date:  1999-08       Impact factor: 4.086

9.  Intrinsic voltage dependence and Ca2+ regulation of mslo large conductance Ca-activated K+ channels.

Authors:  J Cui; D H Cox; R W Aldrich
Journal:  J Gen Physiol       Date:  1997-05       Impact factor: 4.086

10.  Measurements of the BKCa channel's high-affinity Ca2+ binding constants: effects of membrane voltage.

Authors:  Tara-Beth Sweet; Daniel H Cox
Journal:  J Gen Physiol       Date:  2008-11       Impact factor: 4.086

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  2 in total

1.  MCMC estimation of Markov models for ion channels.

Authors:  Ivo Siekmann; Larry E Wagner; David Yule; Colin Fox; David Bryant; Edmund J Crampin; James Sneyd
Journal:  Biophys J       Date:  2011-04-20       Impact factor: 4.033

2.  Analyzing single-molecule time series via nonparametric Bayesian inference.

Authors:  Keegan E Hines; John R Bankston; Richard W Aldrich
Journal:  Biophys J       Date:  2015-02-03       Impact factor: 4.033

  2 in total

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