Literature DB >> 21190652

A model of the interaction between N-type and C-type inactivation in Kv1.4 channels.

Glenna C L Bett1, Isidore Dinga-Madou, Qinlian Zhou, Vladimir E Bondarenko, Randall L Rasmusson.   

Abstract

Kv1.4 channels are Shaker-related voltage-gated potassium channels with two distinct inactivation mechanisms. Fast N-type inactivation operates by a ball-and-chain mechanism. Slower C-type inactivation is not so well defined, but involves intracellular and extracellular conformational changes of the channel. We studied the interaction between inactivation mechanisms using two-electrode voltage-clamp of Kv1.4 and Kv1.4ΔN (amino acids 2-146 deleted to remove N-type inactivation) heterologously expressed in Xenopus oocytes. We manipulated C-type inactivation by introducing a lysine-tyrosine point mutation (K532Y, equivalent to Shaker T449Y) that diminishes C-type inactivation. We used experimental data to develop a comprehensive computer model of Kv1.4 channels to determine the interaction between activation and N- and C-type inactivation mechanisms needed to replicate the experimental data. C-type inactivation began at lower voltage preactivated states, whereas N-type inactivation was coupled directly to the open state. A model with distinct N- and C-type inactivated states was not able to reproduce experimental data, and direct transitions between N- and C-type inactivated states were required, i.e., there is coupling between N- and C-type inactivated states. C-type inactivation is the rate-limiting step determining recovery from inactivation, so understanding C-type inactivation, and how it is coupled to N-type inactivation, is critical in understanding how channels act to repetitive stimulation.
Copyright © 2011 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21190652      PMCID: PMC3010008          DOI: 10.1016/j.bpj.2010.11.011

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  56 in total

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Authors:  R C Castellino; M J Morales; H C Strauss; R L Rasmusson
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Journal:  Nature       Date:  1994-05-26       Impact factor: 49.962

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Journal:  J Biol Chem       Date:  1995-03-17       Impact factor: 5.157

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Journal:  Nature       Date:  1994-11-03       Impact factor: 49.962

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Authors:  S Marom; I B Levitan
Journal:  Biophys J       Date:  1994-08       Impact factor: 4.033

9.  A structural motif for the voltage-gated potassium channel pore.

Authors:  G M Lipkind; D A Hanck; H A Fozzard
Journal:  Proc Natl Acad Sci U S A       Date:  1995-09-26       Impact factor: 11.205

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Authors:  T Hoshi; W N Zagotta; R W Aldrich
Journal:  J Gen Physiol       Date:  1994-02       Impact factor: 4.086

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  8 in total

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2.  Models of HERG gating.

Authors:  Glenna C L Bett; Qinlian Zhou; Randall L Rasmusson
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3.  Activity-dependent modulation of neuronal KV channels by retinoic acid enhances CaV channel activity.

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4.  Markov models of use-dependence and reverse use-dependence during the mouse cardiac action potential.

Authors:  Qinlian Zhou; Glenna C L Bett; Randall L Rasmusson
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5.  A biophysically detailed computational model of urinary bladder small DRG neuron soma.

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Journal:  PLoS Comput Biol       Date:  2018-07-18       Impact factor: 4.475

6.  The delayed rectifier potassium conductance in the sarcolemma and the transverse tubular system membranes of mammalian skeletal muscle fibers.

Authors:  Marino DiFranco; Marbella Quinonez; Julio L Vergara
Journal:  J Gen Physiol       Date:  2012-08       Impact factor: 4.086

7.  Synaptotagmin I delays the fast inactivation of Kv1.4 channel through interaction with its N-terminus.

Authors:  Chunliang Xie; Haibo Su; Tianyao Guo; Yizhong Yan; Xiaozhen Peng; Rui Cao; Ying Wang; Ping Chen; Xianchun Wang; Songping Liang
Journal:  Mol Brain       Date:  2014-01-14       Impact factor: 4.041

8.  Ion Channel Modeling beyond State of the Art: A Comparison with a System Theory-Based Model of the Shaker-Related Voltage-Gated Potassium Channel Kv1.1.

Authors:  Sonja Langthaler; Jasmina Lozanović Šajić; Theresa Rienmüller; Seth H Weinberg; Christian Baumgartner
Journal:  Cells       Date:  2022-01-11       Impact factor: 6.600

  8 in total

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