Literature DB >> 9333349

Analysis of multichannel patch clamp recordings by hidden Markov models.

S Klein1, J Timmer, J Honerkamp.   

Abstract

Conventional methods of analysis do not allow the kinetics of patch clamped ion channels to be completely determined if more than one channel is present in the patch. This hinders investigations on small ion channels as well as on channel cooperativity and the homogeneity of channel populations. We present a method to extract the rate constants and current amplitudes for each individual channel from multichannel patches by a one-step procedure. For this purpose, the current record is modeled by the superposed Markov processes of the opening and closing of each channel that is contaminated by noise (Hidden Markov Model). Channel parameters are obtained by maximum likelihood methods. Because the parameters can be calculated directly from the unfiltered record, the dwell time and missed event problems are widely diminished. Confidence bounds for the estimated parameters are given. Statistical tests to decide whether channels switch identically and/or independently are introduced. The application of the method is demonstrated with simulated data.

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Year:  1997        PMID: 9333349

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  10 in total

1.  Evidence for cooperativity between nicotinic acetylcholine receptors in patch clamp records.

Authors:  A M Keleshian; R O Edeson; G J Liu; B W Madsen
Journal:  Biophys J       Date:  2000-01       Impact factor: 4.033

2.  The anomalous mole fraction effect in Chara: gating at the edge of temporal resolution.

Authors:  A Farokhi; M Keunecke; U P Hansen
Journal:  Biophys J       Date:  2000-12       Impact factor: 4.033

3.  Distributions-per-level: a means of testing level detectors and models of patch-clamp data.

Authors:  I Schröder; T Huth; V Suitchmezian; J Jarosik; S Schnell; U P Hansen
Journal:  J Membr Biol       Date:  2004-01-01       Impact factor: 1.843

4.  Hidden Markov analysis of improved bandwidth mechanosensitive ion channel data.

Authors:  Ibrahim M Almanjahie; R Nazim Khan; Robin K Milne; Takeshi Nomura; Boris Martinac
Journal:  Eur Biophys J       Date:  2015-08-02       Impact factor: 1.733

5.  A subsequent fit of time series and amplitude histogram of patch-clamp records reveals rate constants up to 1 per microsecond.

Authors:  I Schröder; P Harlfinger; T Huth; U P Hansen
Journal:  J Membr Biol       Date:  2005-01       Impact factor: 1.843

6.  The power of two-dimensional dwell-time analysis for model discrimination, temporal resolution, multichannel analysis and level detection.

Authors:  Tobias Huth; Indra Schroeder; Ulf-Peter Hansen
Journal:  J Membr Biol       Date:  2007-06-06       Impact factor: 1.843

7.  A state-mutating genetic algorithm to design ion-channel models.

Authors:  Vilas Menon; Nelson Spruston; William L Kath
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-16       Impact factor: 11.205

8.  Coupled gating of skeletal muscle ryanodine receptors is modulated by Ca2+, Mg2+, and ATP.

Authors:  Maura Porta; Paula L Diaz-Sylvester; Jake T Neumann; Ariel L Escobar; Sidney Fleischer; Julio A Copello
Journal:  Am J Physiol Cell Physiol       Date:  2012-07-11       Impact factor: 4.249

9.  Efficient maximum likelihood estimation of kinetic rate constants from macroscopic currents.

Authors:  Andrey R Stepanyuk; Anya L Borisyuk; Pavel V Belan
Journal:  PLoS One       Date:  2011-12-29       Impact factor: 3.240

Review 10.  The ion channel inverse problem: neuroinformatics meets biophysics.

Authors:  Robert C Cannon; Giampaolo D'Alessandro
Journal:  PLoS Comput Biol       Date:  2006-08-25       Impact factor: 4.475

  10 in total

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