Literature DB >> 1280835

Dependency plots suggest the kinetic structure of ion channels.

K L Magleby1, L Song.   

Abstract

Ion channels are integral membrane proteins that regulate ionic flux through cell membranes by opening and closing (gating) their pores. The gating can be monitored by observing step changes in the current flowing through single channels, and analysis of the observed open and closed interval durations has provided a window to develop kinetic models for the gating process. One difficulty in developing such models has been to determine the connections (transition pathways) among the various kinetic states involved in the gating. To help overcome this difficulty we present a transform (dependency plot) of the single-channel data that can give immediate insight into the connections. A dependency plot is derived by calculating a contingency table from a two-dimensional (joint density) dwell-time distribution of adjacent open and closed intervals by assuming that the two classified criteria are the open and closed durations of each pair of adjacent intervals. A three-dimensional surface plot of the fractional difference between the numbers of observed interval pairs and the numbers expected if the durations of adjacent intervals are independent then gives the dependency plot. An excess of interval pairs in the dependency plot suggests that the open and closed states (or compound states) that give rise to the interval pairs in excess are directly connected. A deficit of interval pairs suggests that the open and closed states (or compound states) that give rise to the interval pairs in deficit are either not directly connected or that there are additional open-closed transition pathways arising from the directly connected states.

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Year:  1992        PMID: 1280835     DOI: 10.1098/rspb.1992.0095

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  28 in total

1.  Rapid kinetic analysis of multichannel records by a simultaneous fit to all dwell-time histograms.

Authors:  L Csanády
Journal:  Biophys J       Date:  2000-02       Impact factor: 4.033

2.  Bayesian restoration of ion channel records using hidden Markov models.

Authors:  R Rosales; J A Stark; W J Fitzgerald; S B Hladky
Journal:  Biophys J       Date:  2001-03       Impact factor: 4.033

3.  Kernel estimates for one- and two-dimensional ion channel dwell-time densities.

Authors:  Rafael A Rosales; William J Fitzgerald; Stephen B Hladky
Journal:  Biophys J       Date:  2002-01       Impact factor: 4.033

4.  Two-dimensional kinetic analysis suggests nonsequential gating of mechanosensitive channels in Xenopus oocytes.

Authors:  Z Gil; K L Magleby; S D Silberberg
Journal:  Biophys J       Date:  2001-10       Impact factor: 4.033

5.  Ca2+-dependent gating mechanisms for dSlo, a large-conductance Ca2+-activated K+ (BK) channel.

Authors:  B L Moss; S D Silberberg; C M Nimigean; K L Magleby
Journal:  Biophys J       Date:  1999-06       Impact factor: 4.033

6.  Single channel properties of P2X2 purinoceptors.

Authors:  S Ding; F Sachs
Journal:  J Gen Physiol       Date:  1999-05       Impact factor: 4.086

7.  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

8.  Model-based fitting of single-channel dwell-time distributions.

Authors:  Feng Qin; Ling Li
Journal:  Biophys J       Date:  2004-09       Impact factor: 4.033

9.  Short isoforms of the cold receptor TRPM8 inhibit channel gating by mimicking heat action rather than chemical inhibitors.

Authors:  José A Fernández; Roman Skryma; Gabriel Bidaux; Karl L Magleby; C Norman Scholfield; J Graham McGeown; Natalia Prevarskaya; Alexander V Zholos
Journal:  J Biol Chem       Date:  2011-11-28       Impact factor: 5.157

10.  Short openings in high resolution single channel recordings of mouse nicotinic receptors.

Authors:  Stefan Hallermann; Sabine Heckmann; Josef Dudel; Manfred Heckmann
Journal:  J Physiol       Date:  2005-01-27       Impact factor: 5.182

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