ArticleBiophysical journal1994
Superposition properties of interacting ion channels.
Article in Biophysical journal, 1994. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Mechanisms and physiological implications of cooperative gating of clustered ion channels.Physiological reviews · 2022Review
- Stochastic model of endothelial TRPV4 calcium sparklets: effect of bursting and cooperativity on EDH.Biophysical journal · 2015Article
- Article
- Cooperative gating between single HCN pacemaker channels.The Journal of general physiology · 2006Article
- Evidence for non-independent gating of P2X2 receptors expressed in Xenopus oocytes.BMC neuroscience · 2002Article
- Evidence for cooperativity between nicotinic acetylcholine receptors in patch clamp records.Biophysical journal · 2000Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative analysis of patch clamp data is widely based on stochastic models of single-channel kinetics. Membrane patches often contain more than one active channel of a given type, and it is usually assumed that these behave independently in order to interpret the record and infer individual channel properties. However, recent studies suggest there are significant channel interactions in some systems. We examine a model of dependence in a system of two identical channels, each modeled by a continuous-time Markov chain in which specified transition rates are dependent on the conductance state of the other channel, changing instantaneously when the other channel opens or closes. Each channel then has, e.g., a closed time density that is conditional on the other channel being open or closed, these being identical under independence. We relate the two densities by a convolution function that embodies information about, and serves to quantify, dependence in the closed class. Distributions of observable (superposition) sojourn times are given in terms of these conditional densities. The behavior of two channel systems based on two- and three-state Markov models is examined by simulation. Optimized fitting of simulated data using reasonable parameters values and sample size indicates that both positive and negative cooperativity can be distinguished from independence.
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Registered trials
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