Literature DB >> 9465014

Interaction between duration of activity and time course of recovery from slow inactivation in mammalian brain Na+ channels.

A Toib1, V Lyakhov, S Marom.   

Abstract

NaII and NaIIA channels are the most abundant voltage-gated channels in neonatal and adult cortex, respectively. The relationships between activity and availability for activation of these channels were examined using the Xenopus expression system. The main point of this work is that the time constant (tau) of recovery from the unavailable (inactivated) pool is related to the duration (t) of previous activation by a power law: tau(t) = p . tD, with a scaling power D congruent to 0.8 and 0.5 for NaII and NaIIA, respectively, and p as a constant kinetic setpoint. These relationships extend from tens of milliseconds to several minutes and are intrinsic to the channel protein. Coexpression of beta1 auxiliary subunit, together with the alpha subunit of the NaIIA channel, modulates the constant kinetic setpoint but not the scaling power of the latter. The power law scaling between activity and availability is not a universal property of ion channels; unlike that of voltage-gated sodium channels, the rate of recovery from slow inactivation of the ShakerB channel is virtually insensitive to the duration of previous stimuli. It is suggested that the power law scaling described here can act as a molecular memory mechanism that preserves traces of previous activity, over a wide range of time scales, in the form of modulated reaction rates. This mechanism should be considered when theorizing about the dynamics of threshold and firing patterns of neurons.

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Year:  1998        PMID: 9465014      PMCID: PMC6792612     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  30 in total

1.  Slow inactivation differs among mutant Na channels associated with myotonia and periodic paralysis.

Authors:  L J Hayward; R H Brown; S C Cannon
Journal:  Biophys J       Date:  1997-03       Impact factor: 4.033

Review 2.  Cellular and molecular biology of voltage-gated sodium channels.

Authors:  W A Catterall
Journal:  Physiol Rev       Date:  1992-10       Impact factor: 37.312

3.  Steady-state availability of sodium channels. Interactions between activation and slow inactivation.

Authors:  P C Ruben; J G Starkus; M D Rayner
Journal:  Biophys J       Date:  1992-04       Impact factor: 4.033

4.  Slow inactivation of Na+ current and slow cumulative spike adaptation in mouse and guinea-pig neocortical neurones in slices.

Authors:  I A Fleidervish; A Friedman; M J Gutnick
Journal:  J Physiol       Date:  1996-05-15       Impact factor: 5.182

5.  Impaired slow inactivation in mutant sodium channels.

Authors:  T R Cummins; F J Sigworth
Journal:  Biophys J       Date:  1996-07       Impact factor: 4.033

6.  Testing fractal and Markov models of ion channel kinetics.

Authors:  L S Liebovitch
Journal:  Biophys J       Date:  1989-02       Impact factor: 4.033

7.  Fractal analysis of a voltage-dependent potassium channel from cultured mouse hippocampal neurons.

Authors:  L S Liebovitch; J M Sullivan
Journal:  Biophys J       Date:  1987-12       Impact factor: 4.033

8.  Slow changes in membrane permeability and long-lasting action potentials in axons perfused with fluoride solutions.

Authors:  W K Chandler; H Meves
Journal:  J Physiol       Date:  1970-12       Impact factor: 5.182

9.  Gating of cardiac Na+ channels in excised membrane patches after modification by alpha-chymotrypsin.

Authors:  C Valenzuela; P B Bennett
Journal:  Biophys J       Date:  1994-07       Impact factor: 4.033

10.  Slow changes in currents through sodium channels in frog muscle membrane.

Authors:  W Almers; P R Stanfield; W Stühmer
Journal:  J Physiol       Date:  1983-06       Impact factor: 5.182

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  57 in total

1.  Slow recovery from inactivation regulates the availability of voltage-dependent Na(+) channels in hippocampal granule cells, hilar neurons and basket cells.

Authors:  R K Ellerkmann; V Riazanski; C E Elger; B W Urban; H Beck
Journal:  J Physiol       Date:  2001-04-15       Impact factor: 5.182

2.  A single residue differentiates between human cardiac and skeletal muscle Na+ channel slow inactivation.

Authors:  Y Y Vilin; E Fujimoto; P C Ruben
Journal:  Biophys J       Date:  2001-05       Impact factor: 4.033

3.  Subthreshold voltage noise due to channel fluctuations in active neuronal membranes.

Authors:  P N Steinmetz; A Manwani; C Koch; M London; I Segev
Journal:  J Comput Neurosci       Date:  2000 Sep-Oct       Impact factor: 1.621

4.  Modulation of slow inactivation in class A Ca2+ channels by beta-subunits.

Authors:  S Sokolov; R G Weiss; E N Timin; S Hering
Journal:  J Physiol       Date:  2000-09-15       Impact factor: 5.182

5.  Slow inactivation of the Ca(V)3.1 isotype of T-type calcium channels.

Authors:  Julien Hering; Anne Feltz; Régis C Lambert
Journal:  J Physiol       Date:  2003-12-23       Impact factor: 5.182

Review 6.  No phylogeny without ontogeny: a comparative and developmental search for the sources of sleep-like neural and behavioral rhythms.

Authors:  Michael Corner; Chris van der Togt
Journal:  Neurosci Bull       Date:  2012-02       Impact factor: 5.203

7.  Dynamics of excitability over extended timescales in cultured cortical neurons.

Authors:  Asaf Gal; Danny Eytan; Avner Wallach; Maya Sandler; Jackie Schiller; Shimon Marom
Journal:  J Neurosci       Date:  2010-12-01       Impact factor: 6.167

8.  Differential targeting and functional specialization of sodium channels in cultured cerebellar granule cells.

Authors:  Nancy Osorio; Gisèle Alcaraz; Françoise Padilla; François Couraud; Patrick Delmas; Marcel Crest
Journal:  J Physiol       Date:  2005-10-06       Impact factor: 5.182

9.  Dopamine receptor activation can reduce voltage-gated Na+ current by modulating both entry into and recovery from inactivation.

Authors:  Yuki Hayashida; Andrew T Ishida
Journal:  J Neurophysiol       Date:  2004-11       Impact factor: 2.714

10.  Fractal stochastic modeling of spiking activity in suprachiasmatic nucleus neurons.

Authors:  Sung-Il Kim; Jaeseung Jeong; Yongho Kwak; Yang In Kim; Seung Hun Jung; Kyoung J Lee
Journal:  J Comput Neurosci       Date:  2005-08       Impact factor: 1.621

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