Literature DB >> 6262498

Conductance fluctuations from the inactivation process of sodium channels in myelinated nerve fibres.

F Conti, B Neumcke, W Nonner, R Stämpfli.   

Abstract

1. Na currents and fluctuations of Na currents were studied under voltage clamp in the same myelinated nerve fibres of Rana esculenta at 13 degrees C. The results were used to test several kinetic models for the gating process of Na channels.2. Long voltage pulses, depolarizing the membrane by 16-48 mV from a hyperpolarizing holding level of - 28 mV, were applied in 4 sec intervals. The d.c. and a.c. components of the membrane current were recorded during the last 328 msec of the 473 msec pulses. For each depolarization, ninety-six trials were made with the node in Ringer solution and, again, after adding 300 nm-tetrodotoxin (TTX) in that solution.3. The TTX-sensitive d.c. component declined during the 328 msec records by 14-51% of its time average. The a.c. component was corrected for this trend by subtracting the first from the second of each pair of subsequent records. The TTX-sensitive part of its variance declined, on the average, in parallel to the current, as if the open probability rather than the conductance of the individual Na channels was reduced by a slow process.4. Single-channel conductances, gamma, were calculated on the assumption that Na channels have only one non-zero conductance and were corrected for the limited band width (5 kHz) of the a.c. records. Values of gamma increased slightly (< 30% from 16 to 40 mV), and averaged 8.85 +/- 0.7 pS (s.e. of mean, seventeen measurements on ten fibres). This small degree of change in gamma suggests that deviations from the all-or-none gating are very small.5. Power spectral densities of the fluctuations between 3 Hz and 5 kHz were calculated from the trend-free a.c. records and corrected for the TTX-insensitive noise component. Control calculations showed that the only effect of the nonstationarity in the Na current was to enhance the low-frequency points of such spectra by less than 10%. The spectra revealed at least two Lorentzian components with cut-off frequencies in the range expected from the activation and inactivation kinetics. The low-frequency component became dominant as depolarization was increased.6. Na currents recorded during brief (< 40 msec) depolarizations were analysed in terms of various all-or-none gating models, in which inactivation either was independent of activation (Hodgkin-Huxley (HH) model) or could occur only from the partly or fully activated states (coupled models). The transient Na currents were reproduced by all models.7. With the parameters from such fits, the fluctuation spectra expected for each model were calculated. The predictions differed in the fraction, r(h), of the variance contributed by the slow (inactivation) fluctuations; r(h) was larger in the coupled models than in the HH model.8. The experimental spectra were divided into two spectral components to yield empirical values for r(h). We used as templates the spectral curves derived for the fast and for the slow fluctuations of the HH model. The empirical r(h) values were one (48 mV) to four (16 mV) times larger than those expected for the HH model. They were also larger than the theoretical r(h) of the coupled models at the small depolarizations, but became equal or smaller than those at the largest depolarization. Direct comparison of the measured and theoretical spectra revealed the same discrepancies.9. We conclude that all of the simple gating models considered in this paper are inconsistent with the fluctuation measurements, the coupled models giving slightly smaller deviations than the model with independent activation and inactivation.

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Year:  1980        PMID: 6262498      PMCID: PMC1274546          DOI: 10.1113/jphysiol.1980.sp013469

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  17 in total

1.  Conductance of the sodium channel in myelinated nerve fibres with modified sodium inactivation.

Authors:  F Conti; B Hille; B Neumcke; W Nonner; R Stämpfli
Journal:  J Physiol       Date:  1976-11       Impact factor: 5.182

2.  Conductance fluctuations in Ranvier nodes.

Authors:  R J van den Berg; J de Goede; A A Verveen
Journal:  Pflugers Arch       Date:  1975-10-16       Impact factor: 3.657

3.  Potassium and sodium ion current noise in the membrane of the squid giant axon.

Authors:  F Conti; L J De Felice; E Wanke
Journal:  J Physiol       Date:  1975-06       Impact factor: 5.182

4.  How many conductance states do potassium channels have?

Authors:  T Begenisich; C F Stevens
Journal:  Biophys J       Date:  1975-08       Impact factor: 4.033

5.  [Slow sodium inactivation in Ranvier's node membrane. Role of external potassium].

Authors:  E M Peganov; B I Khodorov; L D Shishkova
Journal:  Biull Eksp Biol Med       Date:  1973-09

Review 6.  Membrane noise.

Authors:  A A Verveen; L J DeFelice
Journal:  Prog Biophys Mol Biol       Date:  1974       Impact factor: 3.667

Review 7.  Conductance fluctuations and ionic pores in membranes.

Authors:  E Neher; C F Stevens
Journal:  Annu Rev Biophys Bioeng       Date:  1977

8.  Measurement of the conductance of the sodium channel from current fluctuations at the node of Ranvier.

Authors:  F Conti; B Hille; B Neumcke; W Nonner; R Stämpfli
Journal:  J Physiol       Date:  1976-11       Impact factor: 5.182

9.  The effects of external potassium and long duration voltage conditioning on the amplitude of sodium currents in the giant axon of the squid, Loligo pealei.

Authors:  W J Adelman; Y Palti
Journal:  J Gen Physiol       Date:  1969-11       Impact factor: 4.086

10.  Inactivation of the sodium channel. I. Sodium current experiments.

Authors:  F Bezanilla; C M Armstrong
Journal:  J Gen Physiol       Date:  1977-11       Impact factor: 4.086

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  37 in total

1.  Wavelet analysis of nonstationary fluctuations of Monte Carlo-simulated excitatory postsynaptic currents.

Authors:  F Aristizabal; M I Glavinovic
Journal:  Biophys J       Date:  2003-10       Impact factor: 4.033

2.  Beta1-subunit modulates the Nav1.4 sodium channel by changing the surface charge.

Authors:  Loretta Ferrera; Oscar Moran
Journal:  Exp Brain Res       Date:  2006-01-24       Impact factor: 1.972

3.  Single Ih channels in pyramidal neuron dendrites: properties, distribution, and impact on action potential output.

Authors:  Maarten H P Kole; Stefan Hallermann; Greg J Stuart
Journal:  J Neurosci       Date:  2006-02-08       Impact factor: 6.167

4.  Nonlinear single-channel sodium-conductance in squid axon.

Authors:  H M Fishman; H R Leuchtag; D Poussart
Journal:  Biophys J       Date:  1984-01       Impact factor: 4.033

5.  Computer reconstruction of the spread of excitation in nerve terminals with inhomogeneous channel distribution.

Authors:  A Peres; F Andrietti
Journal:  Eur Biophys J       Date:  1986       Impact factor: 1.733

6.  Preventing errors when estimating single channel properties from the analysis of current fluctuations.

Authors:  S D Silberberg; K L Magleby
Journal:  Biophys J       Date:  1993-10       Impact factor: 4.033

7.  Quantal charge redistributions accompanying the structural transitions of sodium channels.

Authors:  F Conti; W Stühmer
Journal:  Eur Biophys J       Date:  1989       Impact factor: 1.733

8.  Single point mutations of the sodium channel drastically reduce the pore permeability without preventing its gating.

Authors:  M Pusch; M Noda; W Stühmer; S Numa; F Conti
Journal:  Eur Biophys J       Date:  1991       Impact factor: 1.733

9.  Cocaine sensitization inhibits the hyperpolarization-activated cation current Ih and reduces cell size in dopamine neurons of the ventral tegmental area.

Authors:  Francisco Arencibia-Albite; Rafael Vázquez; María C Velásquez-Martinez; Carlos A Jiménez-Rivera
Journal:  J Neurophysiol       Date:  2012-01-18       Impact factor: 2.714

10.  Sodium currents and sodium-current fluctuations in rat myelinated nerve fibres.

Authors:  B Neumcke; R Stämpfli
Journal:  J Physiol       Date:  1982-08       Impact factor: 5.182

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