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Original Article |
A Whole-Cell and Single-Channel Study
b Dipartimento di Neurofisiologia Sperimentale, Istituto Nazionale Neurologico "Carlo Besta", 20133 Milano, Italy
Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, 3801 University Street, Montréal, Québec, H3A 2B4 Canada.Fax: (514) 398-8106;
mdao{at}musica.mcgill.ca
| ABSTRACT |
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6.8 to
2.6 s, depending on the voltage level, were revealed. Moreover, the activation and inactivation properties of INaP were such as to generate, within a relatively broad membrane-voltage range, a really persistent window current (INaPW). Significantly, INaPW was maximal at about the same voltage level at which subthreshold oscillations are expressed by the stellate cells. Indeed, at –50 mV, the INaPW was shown to contribute to >80% of the persistent Na+ current that sustains the subthreshold oscillations, whereas only the remaining part can be attributed to a classical Hodgkin-Huxley INaTW. Finally, the single-channel bases of INaP slow inactivation and INaPW generation were investigated in cell-attached experiments. Both phenomena were found to be underlain by repetitive, relatively prolonged late channel openings that appeared to undergo inactivation in a nearly irreversible manner at high depolarization levels (–10 mV), but not at more negative potentials (–40 mV).
Key Words: persistent Na+ current window current stellate cells oscillations patch clamp
| INTRODUCTION |
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The entorhinal cortex (EC) has proven to be a particularly interesting neuronal system for the study of INaP functions. In the stellate cells of EC layer II, which give rise to the main cortical projection to the hippocampus (Steward and Scoville 1976
), INaP has been shown to critically participate in the generation of subthreshold membrane-potential oscillations in the theta-rhythm range (Alonso and Llinás 1989
; Klink and Alonso 1993
). This particular intrinsic subthreshold activity is considered to be a critical determinant for the generation of the population theta oscillations generated by the EC network (Adey et al. 1957
, Adey et al. 1960
; Holmes and Adey 1960
; Mitchell and Ranck 1980
; Alonso and García-Austt 1987a
,Alonso and García-Austt 1987b
). The theta rhythm has been shown to contribute to synaptic-plasticity processes (Larson and Lynch 1986
; Larson et al. 1986
; Greenstein et al. 1988
; Alonso et al. 1990
; Huerta and Lisman 1996
; Hölscher et al. 1997
), and it is thus believed to play a major role in temporal lobe learning and memory functions (Doyère and Laroche 1992
; Buzsáki 1996
). On the other hand, since the EC is also known to play a crucial role in temporal lobe epileptogenesis (see references in Dickson and Alonso 1997
), it has been hypothesized that the presence of a robust INaP in EC neurons may contribute to epileptogenic processes (Klink and Alonso 1993
).
For the above considerations, a detailed knowledge of the biophysical properties of INaP expressed by EC layer II neurons seems of great interest since it would help to understand how this current specifically influences the physiological behavior of these cells. In this study, we have characterized INaP in both acutely isolated and in situ EC layer II neurons. Our results revealed the existence of some interesting biophysical properties of INaP that had not been thoroughly investigated yet, including: (a) a slow voltage- and time-dependent inactivation occurring with voltage-dependent time constants in the order of seconds; (b) a full inactivation at sufficiently positive potentials; and (c) a truly persistent, or "window," current arising from the particular activation and steady state inactivation properties of the corresponding conductance. Moreover, we describe the single-channel events that account for all of the above-mentioned macroscopic phenomena.
| MATERIALS AND METHODS |
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) of the latter solution, as measured with a Micro Osmette 5004 osmometer, was typically 320 mOsm. Horizontal slices of the retrohippocampal region were cut at 350–400 µm. For in situ recordings, slices were stored at room temperature in the above solution until use. For recordings on isolated neurons, the layer II of medial entorhinal cortex was dissected from each slice (White et al. 1993
Whole-Cell Recordings on Slices
The recording chamber was mounted on the stage of an upright microscope (see below). Slices were laid onto the bottom of the chamber and perfused with an extracellular solution containing (mmol/liter): 34 NaCl, 26 NaHCO3, 80 tetraethylammonium (TEA)-Cl, 5 KCl, 3 CsCl, 2 CaCl2, 3 MgCl2, 2 BaCl2, 2 CoCl2, 0.4 CdCl2, 4 4-aminopyridine (4-AP), 10 glucose, pH 7.4 when bubbled with 95% O2, 5% CO2 (
320 mOsm). The association of Co2+ and Cd2+ was found to depress residual inward rectification insensitive to the application of tetrodotoxin (TTx; Sigma-Aldrich Canada Ltd.) more effectively than Cd2+ alone in slices (but not in freshly dissociated neurons; see below). Preliminary experiments were performed in in situ neurons in the absence of extracellular Co2+ and Ba2+ and in the presence of 0.2 rather than 0.4 mM Cd2+. Both average peak amplitude and current density of ramp (50 mV/s)-evoked, TTx-subtracted INaPs recorded under the former and latter ionic conditions (–179.3 ± 120.7 vs. –195.8 ± 100.0 pA, respectively, and –17.7 ± 29.1 vs. –12.9 ± 10.6 pA/pF, respectively, n = 54 and 8, respectively) were not significantly different (P = 0.68 and 0.63, respectively). Hence, possible enhancing effects of nonphysiological extracellular divalent cations on INaP amplitude (Cummins et al. 1998
) did not significantly affect measures in our experimental conditions. Patch pipettes were fabricated from thick-wall borosilicate glass capillaries by means of a P-97 horizontal puller (Sutter Instruments Co.). The intrapipette solution contained (mmol/liter): 110 CsF, 10 HEPES-Na, 11 EGTA, 2 MgCl2, pH 7.25 with CsOH (
adjusted to
290 mOsm with mannitol). When filled with the above solution, the patch pipettes had a resistance of 3–5 M
. Slices were observed with an Axioskop microscope (Carl Zeiss, Inc.) equipped with a 40x water-immersion objective lens and differential-contrast optics. A near-infrared charge-coupled device camera (XC-75; Sony Corp.) was also connected to the microscope, and used to improve cell visualization for identification of neuron types and during the approaching and patching procedures. With this equipment, the principal cells of EC layer II were easily distinguished based on their somato-dendritic shape (stellate cells: Ramón y Cajal 1902
), size, and position (Klink and Alonso 1997
). Patch pipettes were brought in close proximity to the selected neurons while manually applying positive pressure inside the pipette. Tight seals (>100 G
) and the whole-cell configuration were obtained by suction (Hamill et al. 1981
). Series resistance (Rs) was always compensated by
55% with the amplifier's built-in compensation section. Rs, as estimated off-line from the peak amplitude of averaged capacitive transients evoked by –5-mV voltage square pulses (with the low-pass filter set at 10 kHz), was on average 8.5 ± 2.1 M
(n = 54). Cell capacitance was evaluated online by canceling the fast component of whole-cell capacitive transients evoked by –10-mV voltage steps with the amplifier compensation section, and reading out the corresponding value. Voltage-clamp recordings were performed at room temperature (
22°C) using an Axopatch 1D amplifier (Axon Instruments). The general holding potential was –80 mV.
Whole-Cell Recordings on Isolated Neurons
The recording chamber was mounted on the stage of an inverted microscope (see below). After seeding into the chamber, dissociated cells were perfused with a standard HEPES buffer containing (mmol/liter): 140 NaCl, 5 KCl, 10 HEPES (free acid), 2 CaCl2, 2 MgCl2, 25 glucose, pH 7.4 with NaOH, bubbled with pure O2 (
320 mOsm). After wash-out of cell debris, cell perfusion was switched to a solution suitable for Na+-current isolation containing (mmol/liter): 100 NaCl, 40 TEA-Cl, 10 HEPES (free acid), 2 CaCl2, 3 MgCl2, 0.2 CdCl2, 5 4-AP, 25 glucose, pH 7.4 with NaOH, bubbled with pure O2 (
318 mOsm). The intrapipette solution was the same as described in the previous paragraph. Cells were observed at 400x with an Axiovert 100 microscope (Carl Zeiss, Inc.). After tight-seal formation (>100 G
) and the establishment of the whole-cell configuration, series resistance was on average 12.0 ± 4.5 M
(n = 38), and was always compensated by
70%. The remaining procedures and experimental conditions were the same as described in the previous paragraph.
Single-Channel Recordings
Single-channel, cell-attached experiments were performed in acutely isolated neurons. After seeding into the recording chamber, cells where initially perfused with the same solution as described in the previous paragraph. The pipette solution contained (mmol/liter): 130 NaCl, 35 TEA-Cl, 10 HEPES-Na, 2 CaCl2, 2 MgCl2, 5 4-AP, pH 7.4 with HCl (
338 mOsm). Single-channel patch pipettes had resistances ranging from 10 to 35 M
when filled with the above solution, and were always coated with Sylgard® (Dow Corning Corp.) from the shoulder to a point as close as possible to the tip so as to minimize stray pipette capacitance. After obtaining the cell-attached configuration, the extracellular perfusion was switched to a high-potassium solution containing: 140 K-acetate, 5 NaCl, 10 HEPES (free acid), 4 MgCl2, 0.2 CdCl2, 25 glucose, pH 7.4 with KOH (
320 mOsm) so as to hold the neuron resting membrane potential at or near 0 mV. Recordings were performed at room temperature with an Axopatch 200B amplifier (Axon Instruments). Capacitive transients and linear current leakage were minimized online by acting on the respective built-in compensation sections of the amplifier. Long-duration (20-s) depolarizing voltage steps were delivered one every 40 s from a holding potential of –80 or –100 mV.
Data Acquisition
Voltage protocols were commanded and current signals were acquired with a Pentium PC interfaced to an Axon TL1 interface, using the Clampex program of the pClamp 6.0.2 software (Axon Instruments). Current signals were filtered online (using the amplifier's built-in low pass filter) and digitized at different frequencies according to the specific experimental aim. Filtering and acquisition frequencies were 5 and 20 kHz, respectively, for INaT recordings; 0.1–1 and 0.67–10 kHz (depending on the protocol duration), respectively, for INaP recordings; 1 and 2 kHz, respectively, for single-channel recordings. In all of the voltage protocols applied, cell-membrane potential was kept at the holding level for 15 (in whole-cell experiments) or 20 s (in single-channel experiments) between the end of each sweep and the beginning of the subsequent sweep (or of the conditioning prepulse preceding it, when applied). This avoided the development of cumulative voltage-dependent inactivation of INaP during consecutive acquisition cycles.
Data Analysis
Whole-cell recordings were analyzed by means of the Clampfit program (Axon Instruments). Offline leak subtraction was performed on INaT - (but not INaP-) protocol traces. Current density was calculated by dividing the peak current amplitude by cell capacitance, estimated as explained above. Conductance values were calculated from Na+-current amplitudes by applying the extended Ohm's law in the form: GNa = INa/(V – VNa), where VNa is the nominal (Nernst) Na+ reversal potential. Data were fitted with exponential functions, I = (Ai · exp(–t/
i) + C, using Clampfit, or with Boltzmann functions, G = Gmax/{1 + exp[(V – V1/2)/k)]}, using Origin 3.06 (MicroCal Software).
Single-channel recordings were analyzed using Clampfit, Fetchan, and pStat (Axon Instruments). Residual capacitive transients were nullified by offline subtracting fits of average blank traces. Residual leakage currents were carefully measured in every single sweep at trace stretches devoid of any channel openings, and digitally subtracted. Channel dwell times were determined using a standard threshold routine of the Fetchan program. Ensemble-average traces were fitted with single exponential functions, I = A · exp(–t/
) + C, using Clampfit. Dwell-time histograms were fitted with double exponential functions, N = A1 · exp(–t/
1) + A2 · exp(–t/
2), using pStat.
Average values were expressed as mean ± SD, unless otherwise explicitly stated. Statistical significance was evaluated by means of the two-tail Student's t test for unpaired data.
Modeling INaP
For a phenomenological description of INaP activation and slow inactivation, a simple Hodgkin-Huxley model was assumed. We applied the basic relationship:
![]() | (1) |
![]() | (2) |
(V) was derived directly from the GNaP activation curve. h
(V) was derived directly from the GNaP steady state inactivation curve. The transitions of the inactivating particle, h, were modeled according to the following first-order kinetic scheme:
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![]() | (3) |
![]() | (4) |
![]() | (5) |
Numerical values for the rate constants,
and β, were derived from the experimental values of time constants of inactivation and recovery from inactivation (
h) and from the h
curve by applying
and
. After obtaining the analytical functions describing the voltage dependence of the rate constants (see RESULTS), the time course of INaPs activated in response to various voltage protocols was numerically reconstructed on the basis of the
and
, and
in its differential form. The simulation programs were compiled using QuickBASIC 4.5 (Microsoft Corp.).
| RESULTS |
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20 pS) characterizing the channels responsible for INaP generation in EC layer II neurons (Magistretti et al. 1999
Ramp protocols were also used in experiments performed in in situ neurons. In this situation, TTx subtraction always returned prominent INaPs in isolation, whose I–V relationship closely resembled that of INaPs in acutely dissociated neurons (Fig. 1 C). INaP amplitude, measured at the peak of the I–V relationship, was significantly higher in in situ than in isolated neurons (–179.3 ± 120.7 pA, n = 54, vs. –65.6 ± 37.9 pA, n = 38; P < 5 x 10–7), whereas the current density did not significantly differ in the two situations (–17.7 ± 29.1 pA/pF, n = 54, vs. –16.5 ± 8.6 pA/pF, n = 38; P = 0.8). These findings strongly suggest that the channels responsible for INaP are located not only on the soma, but also on neuronal processes severed by the dissociation procedure. Activation curves of INaPs recorded in both in situ and isolated neurons were also constructed. Conductance values were derived from INaPs by applying the extended Ohm's law (see MATERIALS AND METHODS), and the resulting activation curves were fitted with single Boltzmann functions (Fig. 1 D). Average half-activation potentials and slope factors were very similar in in situ neurons (V1/2 = –51.3 ± 3.9 mV, k = –4.0 ± 0.7 mV, n = 39) and isolated neurons (V1/2 = –48.7 ± 4.7 mV, k = –4.4 ± 0.9 mV, n = 19). These values compare favorably with those obtained from step protocols (see above), and are also in good agreement with the activation parameters previously reported for INaPs expressed in other neuronal systems (French et al. 1990
; Brown et al. 1994
; Baker and Bostock 1997
).
Given the effectiveness of TTx subtraction in isolating INaPs in both isolated and in situ neurons, this procedure was routinely used in our study. All of the data presented from this point on are from TTx-subtracted currents.
INaP Is Not a Window Current Generated by Transient Na+ Channels
It is well known that a noninactivating, "window" current (INaTW) can be generated by the gating properties of fast, transient Na+ channels (Hodgkin and Huxley 1952
). To address the issue of whether the INaP expressed by EC layer II neurons can be accounted for by a classical window conductance, we analyzed the voltage-dependence properties of INaT in acutely dissociated neurons. Fig. 2 A shows Na+-current traces recorded in a representative neuron in response to an activation–inactivation pulse protocol. Peak-current amplitudes were measured and used for deriving conductance values (GNaT); normalized activation and steady state inactivation plots were then constructed (Fig. 2 B), and fitted with Boltzmann functions. The optimal approximation to data points returned by single Boltzmann functions suggested the existence of functionally homogeneous, transient Na+ channels in the neuronal preparation under examination. In eight cells, average V1/2 and k were –32.5 ± 6.5 mV and –3.6 ± 0.9 mV, respectively, for the activation function, and –59.8 ± 5.2 mV and 4.5 ± 0.9 mV, respectively, for the steady state inactivation function. These values are similar to those reported in a number of other studies on neuronal INaT voltage dependence (e.g., Sah et al. 1988
; Huguenard et al. 1988
; Cummins et al. 1994
). The product of the activation and steady state inactivation functions was then calculated in individual cells to derive the theoretically predicted voltage dependence of the window conductance (GNaTW) arising from transient Na+ channels (Fig. 2 B, dotted line). Fig. 2 C illustrates the INaP evoked by a standard ramp protocol, and isolated via TTx subtraction, in the same cell as in A and B. The conductance underlying INaP (GNaP) was calculated and compared with the predicted GNaTW (Fig. 2 D); an evident discrepancy in the voltage dependence of the two conductances could be observed at potentials positive to about –30 mV, where GNaTW rapidly fell towards zero, whereas GNaP maintained relatively high values, though it also showed a characteristic decline from its maximum (see below). The same discrepancy between GNaTW and GNaP was observed in four other acutely dissociated neurons, in which both well-clamped INaT s and sizable INaPs could be recorded. In a broader cell population, the amplitudes of the reconstructed GNaTW and of GNaP were measured both at the peak [G(max)] and at a voltage point positive by 20 mV to that of the peak [G(+20)]. The average ratios GNaTW(+20)/GNaTW(max) and GNaP(+20)/GNaP(max) were 0.076 ± 0.057 (n = 8) and 0.715 ± 0.102 (n = 12), respectively (P < 5 x 10–12). In addition, in those neurons in which both INaT and INaP were quantified, the size of the predicted INaTW was much smaller than that of the observed INaP (see Table ). These data clearly indicate that by far most of the INaP expressed by EC layer II neurons is not a classical INaTW, similar to what has been previously observed in hippocampal neurons (French et al. 1990
).
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15-fold slower one. These data strongly suggest that at least two kinetic components exist in INaP, each characterized by a different inactivation rate. The ratio between the two slope constants and that between their relative amplitude coefficients were such that, with 50-mV/s ramps, >96% of the ensuing INaP's peak amplitude was accounted for by the slow component. Since we were interested in the slowest Na+-current components, which more closely approach the notion of "persistent" Na+ current, we decided to employ 50-mV/s ramps in the rest of our study so as to maintain the peak value of "true" INaPs relatively unaffected by time-dependent inactivation, while ruling out most of the "intermediate" kinetic components. Moreover, our observations confirmed the validity of applying 50-mV/s ramps for obtaining data on INaP voltage dependence of activation (see previous paragraphs).
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We then investigated the issue of INaP inactivation in further detail by analyzing the effects of variable prepulse potentials on ramp-activated INaPs. The protocol employed is illustrated in Fig. 4 A1. 50-mV/s voltage ramps were preceded by very-long-lasting (15 s) conditioning prepulses at various voltage levels (Vcond). When Vconds of –90 to –50 mV were used, the ramp started from the same voltage level as Vcond itself, rather than from a fixed, negative voltage level: in this way, the possible occurrence of recovery from inactivation during the initial part of the ramp was avoided. At more positive Vconds, the ramp started from –50 mV, so as to preserve the voltage region of INaP peak. Currents recorded with the above protocol in a representative in situ neuron are shown in Fig. 4 A2. INaP peak amplitude turned out to markedly depend on the conditioning potential. Average, normalized current traces obtained from seven in situ neurons are depicted in Fig. 4 B1. It can be observed that voltage-dependent steady state inactivation of INaP was nearly complete at about –20 mV. The average plot of INaP's voltage dependence of inactivation (Fig. 4 B2) could be fitted by a single Boltzmann function, with V1/2 at about –49 mV and a slope factor, k, of
10 mV. In addition, we also constructed an activation plot from the average INaP derived from the same neuron pool, and fitted it with a single Boltzmann function (Fig. 4 B2). Note that, importantly, GNaP activation and steady state inactivation functions overlapped over a wide voltage range. Due to this phenomenon, a significant window conductance (GNaPW) is expected to arise from GNaP. The predicted voltage dependence of GNaPW is depicted in Fig. 4 B2 (dotted line), and will be compared with relevant experimental data later on in the paper.
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6.8 to
2.6 s, depending on the conditioning potential.
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5.2 (–80 mV), and 4.7 s (–90 mV).
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Modeling of INaP Slow Inactivation
To further clarify the basis of the experimentally observed decline in GNaP at positive potentials (Fig. 2 D), a theoretical reconstruction of the biophysical properties of INaP inactivation was carried out. A simple Hodgkin-Huxley model, considering a single inactivation gate switching between two energy states, was considered in order to give account for the monoexponential time course of INaP decay and recovery from inactivation. This reconstruction was merely phenomenological and was given no mechanistic meaning since single-channel data clearly indicated different features of the underlying elementary events (see below). The time constants of INaP inactivation and recovery from inactivation and the data on voltage dependence of INaP steady state inactivation were processed to derive numerical values for the rate constants of the inactivation-gate transitions, as explained in MATERIALS AND METHODS. Fig. 8 B shows the voltage dependence of the values thus obtained for the two rate constants,
and β. The plots were then best fitted with the empirical function,
(or β) = (a · Vm + b)/{1 – exp[(Vm + b/a)/k]}, where Vm is the membrane voltage. The numerical values returned by the fittings for the a, b, and k coefficients, in both the
and β plots, are indicated in the legend to Fig. 8. The voltage-dependence functions thus obtained for
and β were then used to derive the predicted voltage dependence of INaP inactivation-gating time constants (see MATERIALS AND METHODS). The concordance between the reconstructed, theoretical function and the real data is shown in Fig. 8 A.
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) similar to the slow slope constant observed in experimental plots (see Fig. 3 B), and no sign of any fast, early component. The latter results further confirm the adequacy of the ramp protocol we routinely used for characterizing the biophysical properties of INaP, and in particular the slow inactivation of this current. Finally, a simulated protocol of steady state inactivation revealed that, during a ramp preceded by a prepulse that fully inactivates INaP, a significant recovery from inactivation can occur provided that the ramp starts at sufficiently negative levels and is sufficiently slow. For instance, during a 25-mV/s ramp starting at –80 mV, 17% of the total current can recover from inactivation (not shown). By contrast, voltage protocols similar to those we employed for the study of INaP voltage-dependent inactivation (see above) determined no appreciable ramp-dependent recovery from inactivation of INaP .
Single-Channel Bases of INaP Slow Inactivation and INaPW Generation
The single-channel basis of INaP in EC layer II neurons has been described elsewhere (Magistretti et al. 1999
). In that study, we found that, after membrane step depolarization, INaP is generated by early as well as late single Na+-channel openings of much more prolonged duration and of significantly higher conductance than the usual, transient Na+-channel openings responsible for INaT generation. Here, we report how the same persistent Na+-channel activity also accounts for some particular biophysical properties described for macroscopic INaP , namely INaP time-dependent inactivation and INaPW generation.
Recordings from cell-attached patches in acutely isolated EC layer II neurons frequently revealed the presence of a persistent Na+-dependent channel activity that proved to remain stable even over prolonged periods of time (tens of minutes). When very-long-lasting (20 s) depolarizing steps at –10 mV were commanded from a holding potential of –80 mV, multiple, repetitive single-channel openings were observed that tended to cluster preferentially at the beginning of the test pulse. Typical examples of this channel activity for a series of consecutive 20-s test pulses is shown in Fig. 9 A1. A detail of some prolonged, late channel openings is also provided by Fig. 9 A1, inset. Ensemble averaging of multiple traces was then carried out for each patch (Fig. 9 A2). Due to the very long overall duration of the recording cycle required for every single sweep (40 s), only a limited number of traces could be recorded in each patch (15 on average), what explains the low signal-to-noise ratio of ensemble-average traces. In all cases, however, the averaged currents showed a noticeable trend to decay towards zero, and this decay could be properly fitted by a single exponential function (Fig. 9 A2, blank trace). The time constant of average-current decay was 2.66 ± 0.52 s in six patches at –10 mV, a value that compares favorably with those found in whole-cell protocols on macroscopic INaP inactivation at the most positive voltage levels tested (see Fig. 8 A). Ensemble averaging of all of the available sweeps recorded from the same six patches returned a better signal-to-noise ratio (Fig. 9 B). The decay time constant of the resulting average current was 2.46 s, again in good agreement with the data obtained from the analysis of both individual patches and whole-cell recordings.
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) of 0.118 ± 0.048 (n = 6). It seems important to point out at this time that: (a) even the faster of the two time constants exceeds by more than six times the mean open time found in classical, transient Na+ channel openings at approximately the same test voltage level (Aldrich et al. 1983
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The observation that the channel mean open times are far exceeded by the time constants of ensemble-average current inactivation clearly indicates that the latter do not reflect average channel-opening lifetimes in a simple model considering two open states each undergoing one single closure process (with rate constant b) towards an absorbing state, like:
![]() |
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) for the reaction Ii
Oi should also be considered for more negative voltages, at which a major INaPW is produced. The analytical derivation of relaxation time constants from rate constants (see Colquhoun and Hawkes 1977
i >>
i, and
1
2 (or if only one inactivated state exists, communicating with one of the two open states), one slow time constant of ensemble-average current inactivation would be produced, which would faithfully reflect 1/
. Other possible kinetic schemes consider that an inactivated state is reached from a closed rather than a conducting state. The evaluation of the relationships between transition rate constants in such a scheme and the time constants of ensemble-average current inactivation would require the study of closed-time distribution. This could not be reliably accomplished from our data since in no patches in which slow inactivation was studied could the presence of one single channel be assumed. Despite these limitations in providing precise kinetic schemes, our data clearly demonstrate the importance of late channel (re)openings, rather than of early, very-long-lasting openings, for the generation of slow kinetic components in macroscopic INaP. | DISCUSSION |
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In general, the hypotheses on generation of persistent Na+ currents consider two main possibilities: (a) INaP simply derives from an incomplete steady inactivation of transient Na+ channels over a narrow voltage window, due to the partial superimposition of activation and steady state inactivation voltage-dependence curves of the corresponding conductance; (b) INaP is the result of channel openings that do not functionally behave according to the properties of transient Na+ channels, but derive from a rare and atypical gating modality of the same channels (Alzheimer et al. 1993b
), possibly under modulatory control by G proteins (Ma et al. 1997
) or other factors, or, alternatively, from a different channel species. To discriminate between these two possibilities, it is necessary to accurately determine the properties of the window current generated by transient Na+ channels and compare them with those of INaP present in the same cell preparation. The study of acutely dissociated EC neurons allowed us to perform careful measurements on INaT, and therefore to make reliable predictions on the resulting INaTW. The comparison between INaTW and INaP was done both on a statistical basis and, in some cases, in the same cells. Our data on the voltage dependence and amplitude of these currents indicate that INaTW, in contrast with what was reported in a previous study (Fan et al. 1994
), cannot be a major source of the INaP expressed by EC principal neurons. An alternative, specialized mechanism must be implied in the generation of the large INaPs found in these neurons. An exciting possibility, already suggested elsewhere on the basis of whole-cell data (French et al. 1990
), is that INaP is generated by a specialized Na+ channel at least biophysically distinct from those generating the fast transient Na+ current (Masukawa et al. 1991
). Indeed, single-channel, patch-clamp experiments in EC layer II neuron somata indicate that while INaT is generated by a typical
15-pS channel with fast activation and inactivation kinetics, INaP is due to an
20-pS channel activity with a 10-mV lower threshold of activation, and a sustained, high open probability during prolonged depolarizations (Magistretti et al. 1999
). The issue regarding the molecular diversity of Na+ channels (see Ragsdale and Avoli 1998
, for recent review) expressed by EC layer II neurons is beyond the scope of the present study and will be discussed elsewhere.
Another interesting issue raised by our data relates to the definition itself of INaP. Due to their practicality, ramp protocols are the most widely used means for eliciting and isolating INaP. However, the employment of such protocols presupposes that they can adequately reproduce the voltage dependence of INaP without significantly recruiting any other kinetically different (i.e., faster-decaying) Na+-current component. This is often implicitly assumed rather than demonstrated. Moreover, the notion of "slow voltage ramp" suitable for INaP activation varies considerably among different experimental works (Alzheimer et al. 1993a
; Uteshev et al. 1995
; Cepeda et al. 1995
; Pennartz et al. 1997
; Parri and Crunelli 1998
; Cummins et al. 1998
). The experiments we carried out by running voltage ramps of variable slopes clearly indicate that the amplitude of the ensuing INaP strictly depends on the depolarization rate applied. Our data show how, when ramps of progressively decreasing slopes (from 100 to 6.25 mV/s) are commanded, INaP amplitude decreases in a roughly biexponential fashion. The existence of a faster exponential component may be due to the presence of Na+-current components kinetically intermediate between classical, "fast" Na+ currents and the persistent Na+ current. These intermediate kinetic components were easily observed in our step-protocol recordings (see Fig. 1 A and 7 A1), and their properties in EC layer II stellate cells will be described in detail elsewhere. The measurements on INaPs evoked with "slow" voltage ramps may therefore be contaminated by the superimposition of such current components, unless the commanded ramp is slow enough.
Moreover, our data show that, importantly, the process of INaP slow inactivation is a potential source of distortions in the measurements of INaP biophysical parameters (amplitude, voltage dependence of activation, reversal) when this current is elicited by voltage ramps. All these considerations point to the importance of accurately choosing the voltage protocol applied for the study of INaP in each specific experimental situation. We propose that some previously reported, atypical biophysical features of INaP , particularly regarding its nonsigmoidal voltage dependence of activation (Brown et al. 1994
), are the result of the interaction between multiple Na+-current slow decay components and the ramp protocols employed. In our study, the ramp protocols routinely used were chosen so as to minimize both the possible contribution of intermediate-kinetics Na+ current components and the effects of voltage- and time-dependent inactivation of INaP.
The inactivation properties of what, according to our operative definition, can be considered as INaP have been characterized in detail in our study. Our experiments indicate that, in our preparation, the steady state inactivation of the conductance underlying INaP (GNaP) (a) has a voltage dependence that extends over a wide voltage window, and (b) reaches a nearly complete level at –20 to –10 mV. The former of these features, together with the relative position of the GNaP activation curve along the voltage axis, is expected to give rise to a major, time-independent, "window" current over a limited voltage range. This window current (INaPW), clearly different from that arising from the voltage-dependence properties of the transient Na+ conductance (INaTW), could also be directly demonstrated both as nonzero baselines at the beginning of ramp protocols on voltage dependence of inactivation (see Fig. 4), and as offsets, or pedestals, in exponentially decaying INaPs elicited by long-lasting voltage steps (Fig. 7). The peak of the observed INaPW occurred at voltage levels very close to those at which INaP-dependent, theta-like subthreshold membrane-potential oscillations are generated by EC stellate cells (Alonso and Llinás 1989
; Alonso and Klink 1993
; Klink and Alonso 1993
; van der Linden and Lopes da Silva 1998
). Our data indicate that the contribution of INaPW to the total persistent Na+ current over the voltage range of subthreshold-oscillation generation must be substantial, since the peak INaPW amplitude was estimated to exceed that of the predicted INaTW by more than four times. Since the subthreshold oscillations generated by the stellate cells can last indefinitely, our observations also imply that only a fraction of the total INaP, namely INaPW itself, is sufficient for sustaining them.
INaP slow inactivation and recovery from inactivation were found to occur with voltage-dependent time constants in the order of a few seconds. We worked out an analytical reconstruction of the kinetics of these processes which, if introduced into suitable neuronal models, should allow us to make predictions on the effects of slow voltage-dependent inactivation on INaP modulation of membrane-voltage events. We demonstrated that INaP inactivation can considerably affect the apparent current maximal amplitude during the delivery of slow depolarizing ramps. Therefore, it is conceivable that the recruitment of INaP and its impact onto membrane-voltage dynamics can be significantly influenced by the speed of membrane depolarization. For instance, the ability of INaP to bring the membrane potential towards threshold for action-potential firing may be expected to be higher in response to a step depolarizing current injection than to slower or sustained depolarizations. This is consistent with the role of INaP, demonstrated in various central nervous system neurons (Jahnsen and Llinás 1984
; Franceschetti et al. 1995
; Parri and Crunelli 1998
) including EC stellate cells (Alonso and Klink 1993
; Klink and Alonso 1993
) in promoting transient low-threshold spikes and sustaining phasic firing in response to fast depolarizations. On the other hand, INaP inactivation, which we found to be eventually complete above a physiologically interesting range of membrane potentials, may have an important role in limiting detrimental Na+ influx during pathological conditions such as seizures and ischaemia (see also Taylor and Meldrum 1995
).
The question can then be raised whether the biophysical properties we describe here for the INaP expressed by EC stellate cells represent a general feature of this current in various neuronal populations. Slow time-dependent inactivation of INaP has been previously reported in neocortical pyramidal neurons (Fleidervish and Gutnick 1996
), although in that case the voltage dependence of the process was not investigated in detail, whereas a nondecaying "offset" INaP component corresponding to
30% of the total was found in experiments on time dependence of inactivation even after inactivating prepulses at +20 mV. This is in contrast with our finding of a virtually complete inactivation at approximately –20/–10 mV. The discrepancy may imply the existence of interesting functional differences among INaPs expressed by different neuronal populations, which encourages further studies in other cell systems; alternatively, it may be the consequence of the inactivation protocol employed in Fleidervish and Gutnick 1996
, in which the depolarizing ramp after the inactivating prepulse started from a fixed, negative voltage level (–80 mV): this may allow some degree of recovery from inactivation during the early phase of the ramp, as also suggested by the output of our modeling study (RESULTS).
Finally, the present study provides an insight into the fine mechanisms underlying the complex biophysical features displayed by INaP. Our previous work has already clarified the nature and elementary properties of the single-channel events responsible for INaP generation in EC principal neurons (Magistretti et al. 1999
). The data we report here clearly point to the importance of late Na+-channel (re)openings, many times longer in duration than those generating classical, transient INaT in central neurons, for determining the behavior of slow kinetic components of macroscopic INaP. Late Na+-channel (re)openings have already been identified as a possible source of INaP in neocortical neurons (Alzheimer et al. 1993b
) and ventricular myocytes (Ju et al. 1994
), but those we observed were comparatively much longer-lived. The slow inactivation of whole-cell INaP we characterized was paralleled by that of ensemble-average traces from single-channel, cell-attached recordings. In turn, the latter appeared to be the consequence of the slow delivery of channels to an inactivated state. This can be the consequence of either late first openings or, much more probably, low-rate transitions from open states that are more likely to switch to a close, re-recruitable state, or vice versa. The inactivated state was nearly absorbing at –10 mV, but not at –40 mV, where the existence of a major window current generated by the voltage-dependent properties of GNaP had been predicted and demonstrated (see above). Again, whole-cell INaPW had its single-channel correlate in late, repetitive openings able to generate measurable net inward currents after as long as 20 s of membrane depolarization.
In conclusion, the INaP expressed by EC layer II principal neurons is a prominent current operating in a subthreshold range of membrane potentials, most of which is generated by a process independent of the classical gating behavior of the transient Na+ conductance. It also displays complex and previously nonrecognized biophysical characteristics that appear to be tailored to the specific role this current is known to play in the generation of the sub- and near-threshold membrane-potential events typical of the same neurons. The concept of "persistent Na+ current" may turn out to be susceptible to some critical revision also in other experimental situations, with reference to both the existence of multiple and heterogeneous functional components, and the expression of kinetic and voltage-dependence properties that might influence their impact onto neuronal function in previously unforeseen ways.
Portions of this work were previously published in abstract form (Magistretti, J., and A. Alonso. 1998. NYAS Meetings. Abstr. No. PI–29; Alonso, A., and J. Magistretti. 1998. Soc. Neurosci. Abstr. 24:2035).
| ACKNOWLEDGMENTS |
|---|
This work has been funded by grants from the Medical Research Council of Canada, HFSPO, and the North Atlantic Treaty Organization to A. Alonso.
Submitted: 2 June 1999
Revised: 4 August 1999
Accepted: 9 August 1999
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