Journal article
Burst properties of a supergated double-barrelled chloride ion channel
Mathematical Biosciences, Vol.166(1), pp.23-44
2000
Abstract
The chloride selective channel from Torpedo electroplax, ClC-0, is the prototype of a large gene family of chloride channels that behave as functional dimers, with channel currents exhibiting two non-zero conductance levels. Each pore has the same conductance and is controlled by a subgate, and these have seemingly identical fast gating kinetics. However, in addition to the two subgates there is a single slower `supergate' which simultaneously affects both channels. In the present paper, we consider a six state Markov model that is compatible with these observations and develop approximations as well as exact results for relevant properties of groupings of openings, known as bursts. Calculations with kinetic parameter values typical of ClC-0 suggest that even simple approximations can be quite accurate. Small deviations from the assumption of independence within the model lead to marked changes in certain predicted burst properties. This suggests that analysis of these properties may be helpful in assessing independence/non-independence of gating in this type of channel. Based on simulations of models of both independent and non-independent gating, tests using binomial distributions can lead to false conclusions in each situation. This is made more problematic by the difficulty of selecting an appropriate critical time in defining a burst empirically.
Details
- Title
- Burst properties of a supergated double-barrelled chloride ion channel
- Authors/Creators
- Y. Liu (Author/Creator)G.F. Yeo (Author/Creator) - Murdoch UniversityR.K. Milne (Author/Creator) - The University of Western AustraliaB.W. Madsen (Author/Creator) - The University of Western AustraliaR.O. Edeson (Author/Creator) - Sir Charles Gairdner Hospital
- Publication Details
- Mathematical Biosciences, Vol.166(1), pp.23-44
- Publisher
- Elsevier
- Identifiers
- 991005542589907891
- Copyright
- 2000 Published by Elsevier Science Inc
- Murdoch Affiliation
- School of Mathematical and Physical Sciences
- Language
- English
- Resource Type
- Journal article
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