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* Department of Neurobiology and Anatomy, University of Texas Medical School, Houston, Texas 77225 USA; and
Department of Neurobiology, University of Oldenburg, 26111 Oldenburg, Germany
Correspondence: Address reprint requests to David W. Marshak, PhD, Dept. of Neurobiology and Anatomy, University of Texas Medical School, Houston, TX 77225 USA. Tel.: 713-500-5617; Fax: 713-500-0621; E-mail: david.w.marshak{at}uth.tmc.edu.
| ABSTRACT |
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| INTRODUCTION |
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-aminobutyric acid (GABA) antagonists stimulate dopamine release suggested that DA cells are spontaneously active (Kamp and Morgan, 1981
The mechanism underlying the spontaneous activity of retinal DA cells is quite different from that of midbrain DA cells. In midbrain DA cells, the spontaneous spiking is mediated by an L-type voltage-dependent calcium current (ICa) and an SK-type calcium activated potassium current (IKCa) (reviewed by Wolfart et al., 2001
). A hyperpolarization activated cation current (Ih) also plays a role in some midbrain DA cells (Seutin et al., 2001
). However, the spontaneous activity in mouse retinal DA cells persists even after Ih is blocked by the application of extracellular cesium, after all calcium in the extracellular solution is replaced by cobalt, and when A- and D-type potassium channels are blocked with 4-aminopyridine (4-AP) (Feigenspan et al., 1998
). Blockade of sodium channels with tetrodotoxin (TTX) completely eliminates both the action potentials and the subthreshold oscillations in the membrane potential (Feigenspan et al., 1998
). DA cells have high-threshold calcium channels and hyperpolarization-activated cation channels, as well as three types of potassium channels: a calcium-activated potassium current, a tetraethylammonium (TEA)-sensitive current, and a 4-APsensitive current. All of these channels influence the shape and frequency of action potentials, but only the sodium currents and a small proportion of the potassium currents are necessary to generate spontaneous activity (Feigenspan et al., 1998
; Gustincich et al., 1997
).
The goal of the present study was to investigate the mechanisms underlying spontaneous activity in DA cells. Although a previous study did not distinguish different components of the sodium current in DA cells (Feigenspan et al., 1998
), the voltage-clamp experiments described here suggest that there is a persistent component of the sodium current that activates at a more depolarized potential than the transient component of the current. Moreover, the spontaneous activity at relatively depolarized membrane potentials suggests that the persistent component of the sodium current plays a major role in generating the action potentials of the DA cell.
To better characterize the mechanism underlying the DA cell's behavior, we built a reduced computer model of the cell based on our electrophysiological data. We were able to fit the experimental results and simulate the spontaneous firing of isolated mouse DA cells. We found that the persistent component of the sodium current is necessary and sufficient to account for the spontaneous activity of the model DA cells. The model predicts that the most important contribution of the transient component is to speed up depolarization of the DA cell during the interspike interval. Some of these results were presented previously in abstract form (Feigenspan et al., 2001
).
| METHODS |
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; the series resistance of the pipettes was in the range of 1020 M
and could be compensated up to 80% after cancellation of the capacitive transients. Drugs were applied to single cells in the extracellular solution by gravity flow through an array of microcapillary tubes connected to a Y tube. This application system allowed for a complete solution exchange in the vicinity of the recorded cell within 200500 ms. In voltage-clamp experiments to isolate the sodium current, the extracellular solution contained (in mM):100 NaCl, 60 TEACl, 2 CaCl2, 0.3 CdCl2, and 10 HEPES, and the intracellular solution contained (in mM): 120 CsCl, 20 TEACl, 1 CaCl2, 2 MgCl2, 11 EGTA, and 10 HEPES. In voltage-clamp experiments to isolate the 4-APinsensitive component of the potassium current, the extracellular solution contained (in mM): 137 NaCl, 5.4 KCl, 1.8 CaCl2, 1 MgCl2, 5 HEPES, 1 µM TTX, and 4 mM 4-AP; and the intracellular solution contained (in mM): 140 KCl, 1 CaCl2, 2 MgCl2, 11 EGTA, and 10 HEPES. In current-clamp experiments, the extracellular solution contained (in mM): 137 NaCl, 5.4 KCl, 1.8 CaCl2, 1 MgCl2, 5 HEPES, 10 glucose. In experiments to study the effects of partial blockade of potassium channels, 40mM TEACl was substituted for NaCl. The intracellular solution contained (in mM): 125 K-gluconate, 10 KCl, 0.5 EGTA, and 10 HEPES. The pH of all solutions was adjusted with NaOH. All data were collected at room temperature.
Simulations
Simulations were performed on both Windows NT and Apple Macintosh computers with SNNAP (Simulator for Neural Networks and Action Potentials), version 5.1 (Ziv et al., 1994
; snnap.uth.tmc.edu). The forward Euler method with a fixed time step of 5 µs was used for numerical integration. Curve fitting was done on an Apple Macintosh using QuantumSoft Pro Fit, version 5.1 (Uetikon am See, Switzerland).
Data preparation and general model features
Cells used in the voltage-clamp studies were assumed to have similar membrane properties. Therefore, differences in the membrane capacitance recorded in the study were attributed to differences in cell surface area, and the voltage-clamp data were normalized based on membrane capacitance. The current records were then averaged, and these average traces were used to generate the values of the parameters in the model. This preprocessing was done using custom Perl 5 scripts on an Intel-based microcomputer running Red Hat Linux. Since electrophysiological data were collected at room temperature, the model was constructed to replicate behavior at this temperature. Because the experiments were done using acutely isolated DA cells with short processes, the model simulates only the perikarya of DA cells.
The ionic currents in the model were described by standard, Hodgkin-Huxleytype equations in which generalized Boltzmann-type equations defined the voltage- and time-dependent activation and inactivation of conductances. Specifically, channel conductances were evaluated by solving the general equation:
![]() | (1) |
![]() | (2a) |
![]() | (2b) |
(ion) and B
(ion) are the voltage-dependent, steady-state values of the activation and inactivation functions, respectively; and
A(ion) and
B(ion) are the voltage-dependent time constants of the activation and inactivation functions, respectively. The values of A
(ion) and B
(ion) were determined from the general equations:
![]() | (3a) |
![]() | (3b) |
was held constant.
![]() | (4a) |
![]() | (4b) |
max and
min are the maximal and minimal values for the time constants, respectively; h1
(ion), h2
(ion), s1
(ion), and s2
(ion) determine the midpoints and slopes of the time constant functions, respectively. Equation 4a was used when the voltage dependence of the time constant was best fit by a sigmoid in the physiological range, and Eq. 4b was used when the voltage dependence of the time constant was best fit by a Gaussian.
Determination of membrane parameters
The leak current in the cell was given a constant conductance of 0.4 nS based on the reported average input resistance of 2.4 G
(Feigenspan et al., 1998
). Membrane capacitance was set at 8 pF, the average value recorded in the voltage-clamp study. Although the model is not geometric, this figure would correspond with a spherical soma of radius
8 µm and membrane capacitance
1 µF/cm2, the typical value for cell membranes (Hille, 1992
). This is consistent with the biological data; DA cells had perikarya that measured 14.7 µm in diameter, on average, and often had short processes attached (Gustincich et al., 1997
; Feigenspan et al., 1998
).
To fit voltage-clamp studies, the initial values of time constants and steady-state activation values for each test voltage were estimated and fit with generalized Boltzmann functions. The parameter values were then refined using a least-squares fit between the experimental data and the current calculated as a two-dimensional function of voltage and time, I(Vm, t). Finally, minor adjustments were made to the parameter values, within the limits of the voltage-clamp data, to match the whole-cell simulations to the current-clamp records. In the voltage-clamp experiments to characterize the potassium currents, the initial
2 ms of the traces were frequently obscured by residual sodium current and thus did not fully constrain the fits. Because the voltage-clamp experiments were carried out in low external sodium, the resulting reversal potential was substantially lower than in current-clamp recordings of spontaneous activity. To compensate for this difference, the reversal potential of sodium for the model was based on the current-clamp, rather than voltage-clamp, data. The reversal potential for potassium was calculated using the Nernst equation. Sodium currents were modeled with cubic activation functions and potassium currents were modeled with quartic activation functions (Hille, 1992
). Because voltage-clamp data for the sodium and potassium channels were obtained from different cells, an accurate weighting of the two sets of currents could not be obtained from the voltage-clamp data alone. Consequently, the final conductance values of IK,F and IK,S were adjusted by hand in the final model to reproduce the current-clamp data.
| RESULTS |
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+25 mV. Because 300 µM cadmium was present to block the calcium currents, we concluded that both components of the current were carried by sodium ions. We measured the ratio of persistent current to peak current and found that it increased with depolarization (Fig. 1 B). The ratio of persistent to peak current reached its maximal value (0.38) at +35 mV, when both components of the current have reached full activation. This finding indicates that the persistent component of the sodium current activates at a more depolarized potential than the transient component.
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13 mV on average) when external calcium was replaced by cobalt to block the calcium current (Feigenspan et al., 1998
6 times the rate of mouse DA cells under control conditions. This increase in firing rate may be due, in part, to the absence of A-type and calcium-dependent potassium currents in the model DA cell; both types of potassium currents were known to reduce the firing rate of the mouse DA cells. When the A-type current was blocked with 4-AP in mouse DA cells, the interspike interval was reduced by 40%, and the spike amplitude was also reduced (Feigenspan et al., 1998
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1.5 pA at minimum), and INa,T played its most significant role during this period (Fig. 8 B). Although INa,T had a much greater maximal conductance as measured in the voltage-clamp experiments, only a very small portion could ever deinactivate under physiological conditions. Consequently, more current flowed through INa,P except for a brief period during the interspike interval. The model DA cell was also able to reproduce the spontaneous activity that persisted in mouse DA cells even when most potassium channels were blocked by 40 mM TEA. The application of TEA to the extracellular solution was simulated in the model DA cell by reducing each potassium conductance to 65% of its control value. Under these conditions, the model DA cell could only repolarize to -40 mV. However, the model cell still fired regular, small, broad spikes, with little change in frequency, as in mouse DA cells (Fig. 9 A). The role of INaP in spiking was even more pronounced (Fig. 9, B and C); INa,T played a role only during the interspike interval. INa,T could only recover from inactivation when the model DA cell was most hyperpolarized. Because INa,P never inactivated, it was still able to maintain the spontaneous activity. These findings suggest that the persistent component of the sodium current mediates spiking when the mouse DA cell is only able to repolarize to -40 mV. These spikes had amplitudes of 55 mV from trough to peak, the same as the smallest spikes observed in the mouse DA cells. The frequency of firing in the model differed substantially from that in the mouse DA cells, however. As before, a large part of the difference may be explained by the absence of the A-type and calcium-dependent potassium conductances in the model DA cell. This also may explain the sensitivity of the model DA cell to small changes in potassium current weights. In this reduced model, there was only a narrow range around 65% of the control values in which the small spikes are a steady-state behavior. When the weights were reduced by an additional 2%, the model DA cell reaches a resting potential -10 mV after a series of small spikes (Fig. 9 D). With weights of the potassium currents greater than 65% of control, the model fired a series of small spikes that gradually increased in amplitude until a steady state with larger spikes is reached (Fig. 9 E).
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85 pA. The fact that more current is required to generate depolarizing block in the model than in the mouse DA cells may be due to dynamic effects generated by unmodeled currents or to a slow inactivation process in the sodium current which we did not model.
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| DISCUSSION |
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The spontaneous action potentials in the DA cells arise from interactions between sodium and potassium currents, and they were clearly different from the oscillations produced by depolarizing current injection or applications of glutamate in a subset of teleost amacrine cells. The oscillations in the teleost amacrine cells arise from interactions between voltage-gated potassium currents and calcium currents, and they persist after the application of TTX (Solessio et al., 2002
). In a reduced model of the DA cell based on our voltage-clamp data, the spontaneous action potentials were initiated by INaT, despite the presence of a small potassium current at the most hyperpolarized membrane potential, -70 mV. The potassium current increased in amplitude slightly as the model DA cell gradually depolarized, but INaP was activated. By the peak of the action potential, INaT was almost completely inactivated; virtually all the inward current was carried by INaP. The potassium currents were also maximal at the peak of the action potential and repolarized the cell. INaT appeared to make a small contribution during the falling phase of the action potential, but this may not be realistic. INaT reactivated briefly as it passed through an open state during recovery from inactivation, according to the classic Hodgkin-Huxley scheme. However, more recent kinetic schemes for sodium currents, where the channel recovers from inactivation without passing through the open state, do not show the transient in the falling phase (Kuo and Bean, 1994
). When the model DA cell was hyperpolarized, as it would be with tonic GABAergic input, INaT made a larger contribution (Fig. 11). The behavior of the cells when INaT is blocked suggests a possible explanation for the resting potential of -46 mV in isolated mouse DA cells that were not spontaneously active (Gustincich et al., 1997
; Feigenspan et al., 1998
).
Only the persistent component of the sodium current was necessary to generate the spontaneous subthreshold potentials and action potentials in the model DA cells (Fig. 8). The transient component made its major contribution during the interspike interval. In these respects, the two components had essentially the opposite roles as in typical neurons (reviewed by Crill, 1996
and by Ogata and Ohishi, 2002
). For example, in spinal motoneurons, a fast persistent sodium current is essential for initiating action potentials (Lee and Heckman, 2001
), and in the brainstem, persistent currents generate bursting pacemaker behavior in a subset of inspiratory neurons (Del Negro et al., 2002
).
The sodium current was also different from those described previously in amacrine cells from goldfish, rabbit, and rat retinas. In the isolated retina and retinal slices from goldfish, persistent sodium currents are present in nearly all amacrine cells, including some that lack transient sodium currents. The persistent sodium current is activated at -50 mV,
10 mV positive to the resting membrane potential, and it makes a major contribution to the light responses, boosting the excitatory postsynaptic potentials and increasing the sensitivity of the amacrine cells to light stimuli (Watanabe et al., 2000
). The same current appears to be present in amacrine cells of the rabbit retina because tetrodotoxin reduces the amplitude of slow potentials generated by light in these cells (Bloomfield, 1996
). A persistent sodium current that amplifies graded, depolarizing potentials has also been described in cultured, GABAergic rat amacrine cells. This persistent current is relatively large, comprising
5% of the peak sodium current (Koizumi et al., 2001
).
The key difference between the DA cell and other amacrine cells is that the persistent component of the sodium current in the DA cells activates at more depolarized potentials than the transient component. In goldfish amacrine cells and in rat amacrine cells, the persistent component of the sodium current activates at the same potential or at more hyperpolarized potentials than the transient component of the current (Watanabe et al., 2000
; Koizumi et al., 2001
). The persistent component of the sodium current in DA cells and in goldfish amacrine cells activate at similar membrane potentials,
-60 mV, and both are half-maximal at
-20 mV. The major difference, therefore, between the DA cell and goldfish amacrine cells is that the transient component of the sodium current activates at substantially more hyperpolarized potentials in the DA cells. In rat amacrine cells, however, the situation is reversed. In these cells, the transient component is half-maximal at
-27 mV (Koizumi et al., 2001
), comparable to the value for INa,T in the model DA cells, but the activation of the persistent component is at
-37 mV, much more hyperpolarized than for the persistent current in DA cells. In AII amacrine cells from rat retina, the sodium current activates at even more hyperpolarized potentials; in these cells, the threshold ranges from -65 to -60 mV (Boos et al., 1993
). Thus, both components of the sodium current in the DA cell activate within the range described previously for sodium currents in retinal amacrine cells.
The persistent component and the transient component of the sodium current may be carried by distinct sets of channels, or else the persistent current may be the result of a change in gating modes that a subpopulation of channels undergoes at more depolarized potentials (Crill, 1996
; Agrawal et al., 2001
; Magistretti and Alonso, 2002
; Clay, 2003
). A third possibility is that a single population of channels mediates both transient and persistent behavior (Taddese and Bean, 2002
). For example, the NaV1.6 sodium channel (formerly Scn8a or NaCh6), which has been studied extensively in many different areas of the central nervous system, has been found to mediate resurgent and persistent sodium currents as well as transient sodium currents (Smith et al., 1998
; Dietrich et al., 1998
; Pan and Beam, 1999
). NaV1.6 is responsible for TTX-sensitive spontaneous activity in rat cerebellar Purkinje cells (Raman and Bean, 1997
), and it has also been studied in mouse spinal neurons (Pan and Beam, 1999
) and Xenopus oocytes (Dietrich et al., 1998
). In voltage-clamp studies of NaV1.6 channels expressed in Xenopus oocytes, the persistent current increased as a fraction of peak current with increasing depolarization in voltage-clamp experiments, just as we found in the DA cells. In these cells, the transient component activated at more depolarized voltages than in DA cells, however. The current reached half-activation at -9 mV in cells where only an
subunit was expressed and at -17 mV in cells where ß1 and ß2 subunits were also expressed (Smith et al., 1998
). In rat cerebellar Purkinje cells, the transient current mediated by NaV1.6 also reaches half activation at
-33 mV (Raman and Bean, 1999
), the same value we found for DA cells.
The first study of spontaneous activity in DA cells relied on subtraction of voltage-clamp records in the presence and absence of TTX to isolate the sodium current (Feigenspan et al., 1998
). However, more recent work suggests that different components of the sodium current in the DA cell may have different TTX sensitivities (Feigenspan et al., 2001
). This result may explain why the TTX subtraction protocol identified only a single component of the sodium current in the DA cells. Because the different components of the sodium current are differentially sensitive to TTX, it may be possible to separate the components, at least partially, in future experiments.
Studies of the effect of second messengers on the sodium current in DA cells are also likely to be important in characterizing its components. In experiments on fish retinal ganglion cells, elevation of cytoplasmic adenosine 3',5' monophosphate reduces the amplitude of the rapidly inactivating component of the sodium current and augments the slowly inactivating component (Hidaka and Ishida, 1995
). Similar phosphorylation-dependent modulation of sodium channels also has been reported in neocortical neurons. Activation of D1-like dopamine receptors reduces the transient sodium current through the protein kinase A (PKA) pathway, but it has a much smaller effect on the persistent current in the same cells. One possible explanation for this difference is that NaV1.6 channels make a large contribution to the persistent current in cortical pyramidal neurons, and NaV1.6 is only weakly modulated by PKA because it lacks the major PKA phosphorylation site (reviewed in Cantrell and Caterall, 2001
).
In voltage-clamp experiments that are not reported here, the sodium current in DA cells was best fit with a three-component model, including: a rapidly inactivating component, a more slowly inactivating component, and a component that does not inactivate at all (Feigenspan et al., 2001
). Some inactivation of the persistent sodium current has been reported in goldfish amacrine cells, as well (Watanabe et al., 2000
). The decay of sodium currents in goldfish retinal ganglion cells is also best fit by a three-term expression of the form:
![]() | (5) |
Four voltage-dependent conductances in addition to those already in the model have been described in the mouse DA cells. These other channels are not required for the spontaneous activity of DA cells, but they have a number of other, important functions (Feigenspan, et al., 1998
). There is a high-threshold calcium channel, which contributes slightly to the amplitude of the spikes but does not influence the spike frequency. There is a calcium-dependent potassium conductance which contributes to repolarization of the DA cells and slows the rate of spontaneous firing slightly. There is also an A-type potassium current that produces an afterhyperpolarization and slows the rate of spontaneous firing (Feigenspan et al., 1998
). In the model DA cell, IK,S played a major role in creating the depolarizing block, and in this respect it is similar to a slow potassium conductance in octopus cells of the cochlear nucleus (Cai et al., 1997
, 2000
). Approximately four times as much current was required to produce depolarizing block in our model as in mouse DA cells. It is possible that the depolarizing block in mouse DA cells is produced by an interaction between calcium and potassium conductances that were not modeled. During prolonged stimulation, there may be insufficient time for calcium that enters to be buffered or extruded, and this might increase the potassium conductance. Another possibility is that a slow inactivation process in the sodium current that was not included in the model may account for the depolarizing block.
| ACKNOWLEDGEMENTS |
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Submitted on March 26, 2003; accepted for publication June 16, 2003.
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