Literature DB >> 2438700

A note on correlations in single ion channel records.

D Colquhoun, A G Hawkes.   

Abstract

General expressions are derived for the correlation coefficients between the length of an opening and that of the nth subsequent opening for a single ion channel. Analogous results are given for the correlation between shut times, and between an open time and subsequent shut times. An alternative derivation of the results of Fredkin et al. (in Proc. Berkeley Conf. in honor of Neyman & Kiefer, vol. 1, pp. 269-289 (1985] is given, and their results are extended to the case where openings occur in bursts. Expressions are given for the correlation between the first and nth opening in a burst, between the lengths of bursts, and between the number of openings per burst. Each of these sorts of correlation can give information about the connections that exist between the various states of the system; interpretations of the correlations are discussed. Expressions are derived for the distributions of the nth open time, shut time, burst length, etc. following the application of a perturbation (e.g. a voltage jump or a concentration jump). It is shown that these distributions will all be the same (namely the equilibrium distribution) only in the case where the openings, burst lengths, etc. are not correlated. Certain reaction schemes predict a component in the distribution of the number of openings per burst that has a unit mean (i.e. a component of isolated single openings). For some schemes this component is predicted to have zero amplitude, in principle, whereas in others it may be quite prominent. The presence or absence of this component can give information about the way in which the various states of the system are connected. The interpretation in terms of mechanism is discussed.

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Year:  1987        PMID: 2438700     DOI: 10.1098/rspb.1987.0008

Source DB:  PubMed          Journal:  Proc R Soc Lond B Biol Sci        ISSN: 0950-1193


  58 in total

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2.  Voltage-dependent membrane potential oscillations of rat striatal fast-spiking interneurons.

Authors:  Enrico Bracci; Diego Centonze; Giorgio Bernardi; Paolo Calabresi
Journal:  J Physiol       Date:  2003-03-28       Impact factor: 5.182

3.  Permeation and block of rat GluR6 glutamate receptor channels by internal and external polyamines.

Authors:  R Bähring; D Bowie; M Benveniste; M L Mayer
Journal:  J Physiol       Date:  1997-08-01       Impact factor: 5.182

4.  The quality of maximum likelihood estimates of ion channel rate constants.

Authors:  D Colquhoun; C J Hatton; A G Hawkes
Journal:  J Physiol       Date:  2003-01-24       Impact factor: 5.182

5.  How to impose microscopic reversibility in complex reaction mechanisms.

Authors:  David Colquhoun; Kathryn A Dowsland; Marco Beato; Andrew J R Plested
Journal:  Biophys J       Date:  2004-06       Impact factor: 4.033

6.  Use of the covariance matrix in directly fitting kinetic parameters: application to GABAA receptors.

Authors:  James J Celentano; Alan G Hawkes
Journal:  Biophys J       Date:  2004-07       Impact factor: 4.033

7.  GluN1 splice variant control of GluN1/GluN2D NMDA receptors.

Authors:  Katie M Vance; Kasper B Hansen; Stephen F Traynelis
Journal:  J Physiol       Date:  2012-05-28       Impact factor: 5.182

8.  The α1K276E startle disease mutation reveals multiple intermediate states in the gating of glycine receptors.

Authors:  Remigijus Lape; Andrew J R Plested; Mirko Moroni; David Colquhoun; Lucia G Sivilotti
Journal:  J Neurosci       Date:  2012-01-25       Impact factor: 6.167

9.  Maximum likelihood fitting of single channel NMDA activity with a mechanism composed of independent dimers of subunits.

Authors:  Stephanie Schorge; Sergio Elenes; David Colquhoun
Journal:  J Physiol       Date:  2005-10-13       Impact factor: 5.182

10.  Alternate methods of representing single-channel data.

Authors:  S V Ramanan; P R Brink
Journal:  Biophys J       Date:  1990-04       Impact factor: 4.033

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