ArticlePflugers Archiv : European journal of physiology1994
Analysing ion channels with hidden Markov models.
Article in Pflugers Archiv : European journal of physiology, 1994. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 40 citations in OpenAlex.
- Celebrating 50 Years of Single-Channel Recording with the Patch Clamp.The Journal of membrane biology · 2025Review
- Quantum theory of mass potentials.PloS one · 2018Article
- Hidden Markov analysis of improved bandwidth mechanosensitive ion channel data.European biophysics journal : EBJ · 2015Article
- Modeling the genetic basis for human sleep disorders in Drosophila.Communicative & integrative biology · 2013Article
- Estimation of ion channel kinetics from fluctuations of macroscopic currents.Biophysical journal · 2007Article
- Applying hidden Markov models to the analysis of single ion channel activity.Biophysical journal · 2002Article
- Level detection in ion channel records via idealization by statistical filtering and likelihood optimization.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 1997Article
- K+ channels in the basolateral membrane of rat cortical collecting duct are regulated by a cGMP-dependent protein kinase.Pflugers Archiv : European journal of physiology · 1995Article
- pH dependence of K+ conductances of rat cortical collecting duct principal cells.Pflugers Archiv : European journal of physiology · 1994Article
- Analysis, classification, and coding of multielectrode spike trains with hidden Markov models.Biological cybernetics · 1994Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ion channel current amplitudes (mu) and open probabilities (Po) have been analysed so far by defining a 50% threshold to distinguish between open and closed states of the channels. With this standard method (SM) it is very difficult or even impossible to analyse channels of different size in one membrane patch correctly. A stochastical model, named the hidden Markov model (HMM), separates between observation noise and the stochastic process of opening and closing of ion channels. The HMM allows the independent analysis of mu, Po, and mean dwell times (tau) of different channels in one membrane patch, without defining threshold levels. Using this method errors in the analysis are not summarized like in the SM because all different analysing procedures (e.g. filtering, setting of threshold, fitting processes) are done in one step. Two different K+ channels in excised basolateral membranes of the cortical collecting duct of rat (CCD) were analysed by the SM and the HMM. The mu value of the intermediate-conductance K+ channel (i-K+) was 3.9 +/- 0.1 pA (SM) and 3.8 +/- 0.2 pA (HMM) for 11 observations. The Po value of this channel was 10.2 +/- 4.2% (SM) and 10.1 +/- 4.0% (HMM). The mean tau values were 5.4 +/- 0.6 ms for the open state and 9.6 +/- 2.2 ms and 145 +/- 21 ms for the closed states (SM) and 7.8 +/- 1.1 ms, 7.7 +/- 0.9 ms and 148 +/- 24 ms (HMM), respectively.(ABSTRACT TRUNCATED AT 250 WORDS)
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