Abstract
Mouse chromaffin cells (MCCs) fire spontaneous action potentials (APs) at rest. Cav1.3 L-type calcium channels sustain the pacemaker current, and their loss results in depolarized resting potentials (Vrest), spike broadening, and remarkable switches into depolarization block after BayK 8644 application. A functional coupling between Cav1.3 and BK channels has been reported but cannot fully account for the aforementioned observations.
Here, using Cav1.3−/− mice, we investigated the role of Cav1.3 on SK channel activation and how this functional coupling affects the firing patterns induced by sustained current injections. MCCs express SK1–3 channels whose tonic currents are responsible for the slow irregular firing observed at rest. Percentage of frequency increase induced by apamin was found inversely correlated to basal firing frequency. Upon stimulation, MCCs build-up Cav1.3-dependent SK currents during the interspike intervals that lead to a notable degree of spike frequency adaptation (SFA). The major contribution of Cav1.3 to the subthreshold Ca2+ charge during an AP-train rather than a specific molecular coupling to SK channels accounts for the reduced SFA of Cav1.3−/− MCCs. Low adaptation ratios due to reduced SK activation associated with Cav1.3 deficiency prevent the efficient recovery of NaV channels from inactivation. This promotes a rapid decline of AP amplitudes and facilitates early onset of depolarization block following prolonged stimulation. Thus, besides serving as pacemaker, Cav1.3 slows down MCC firing by activating SK channels that maintain NaV channel availability high enough to preserve stable AP waveforms, even upon high-frequency stimulation of chromaffin cells during stress responses.
Introduction
Mouse chromaffin cells (MCCs) are neuroendocrine cells endowed with a diverse set of ion conductances that permit the spontaneous generation and efficient termination of action potentials (APs). L-type calcium channels (LTCCs) have been shown to fulfill the role of pacemaker channels in MCCs (Marcantoni et al. 2010). Cav13 LTCCs in particular were shown to contribute to the pacemaker current passing during the interspike intervals (ISIs) due to their low threshold of activation, fast activation kinetics, and slower inactivation of ICa (Vandael et al. 2010). Loss of Cav1.3 resulted in a reduction of the fraction of spontaneously firing MCCs and led to a depolarized resting potential (Vm) (Mahapatra et al. 2011). Cav1.3−/− MCCs that remained spontaneously active, fired at higher frequencies as compared to wild-type (WT) MCCs, and responded to the LTCC activator BayK 8644 with a strong sustained membrane depolarization. An aberrant activation of BK channels contributes to but does not fully account for this phenomenon, suggesting a possible contribution of other Ca2+-activated K+ channels, such as SK channels (Vandael et al., 2010).
SK channels are widely expressed throughout the central and peripheral nervous system where they act as crucial modulators of cellular excitability (Stocker, 2004; Faber, 2009). Besides affecting firing frequencies, SK channels are involved in switches from single spiking into burst-firing patterns and can drive spike frequency adaptation (SFA) and accommodation (Engel et al., 1999; Wolfart et al., 2001; Hallworth et al., 2003). SK currents contribute to the afterhyperpolarization (AHP) phase of single or bursts of APs, slowing down the pacemaker cycle. SK channel's high Ca2+-sensitivity lays at the basis of the prevailing current view that SK channels do not have to be necessarily close to a specific Ca2+ source to get activated (Fakler and Adelman, 2008). Several studies nevertheless demonstrated a specific coupling of SK channels to voltage-gated calcium channels (VGCCs) or neurotransmitter receptors (Marion and Tavalin, 1998; Oliver et al., 2000; Shah and Haylett, 2002; Cueni et al., 2008; Engbers et al., 2012).
In chromaffin cells, SK channels were first biophysically identified in bovine chromaffin cells (BCCs) and rat chromaffin cells (RCCs) (Marty and Neher, 1985; Neely and Lingle, 1992). Experiments performed on cat adrenals revealed that secretion of catecholamines induced by electrical stimulation or acetylcholine application could be potently stimulated by SK block (Montiel et al., 1995). Up to now, however, nothing is known about the role of SK channels on MCCs excitability and how SK channels relate to LTCCs and non-LTCCs. Here we give evidence for a key role of Cav1.3 LTCCs in triggering the activation of subthreshold SK currents that introduce a strong degree of SFA in MCCs. Cav1.3 deficiency results in elevated degrees of Na+ channel inactivation upon current injections that impedes the maintenance of sustained physiological firing patterns. This dual role of Cav1.3 to serve as “drive” and “brake” to phasically adapt AP firing of MCCs may be a determinant for limiting catecholamine release during sustained stress stimuli and might be at the basis of SFA of several central neurons characterized by slow-frequency AP firing driven by LTCCs (see Vandael et al., 2010).
Materials and Methods
Wild-type and Cav1.3−/− mouse chromaffin cell culture.
Chromaffin cells were obtained from male C57BL/6N mice of 3 months (Harlan). As in our previous works (Marcantoni et al., 2010; Mahapatra et al., 2011), Cav1.3−/− mice (Platzer et al., 2000) were obtained from the animal house of the Eberhard Karls Universität Tübingen (Tübingen, Germany) and bred under SPF conditions locally. All experiments were conducted in accordance with the National Institutes of Health Guide for the Care and Use of Laboratory Animals adopted by the Italian Ministry of Health. For removal of tissues, animals were killed by cervical dislocation. Culture procedure was adapted from Marcantoni et al. (2010) with slight modifications. Under sterile conditions, the abdomen was opened and the adrenal glands were isolated and transferred to an ice-cold Ca2+-and Mg2+-free Locke's buffer containing the following (in mm): 154 NaCl, 3.6 KCl, 5.6 NaHCO3, 5.6 glucose, and 10 HEPES, pH 7.4. Under a dissecting microscope, the adrenal glands were decapsulated and subsequently subjected to an enzymatic dissociation with 20–25 U/ml papain (Worthington Biochemical Corp.) dissolved in DMEM (Life Technologies) supplemented with 1.5 mm L-cysteine, 1 mm CaCl2, and 0.5 mm EDTA (Sigma Aldrich) for 25–30 min at 37°C in a water-saturated atmosphere with 5% CO2. Subsequently, two washing steps were performed with DMEM supplemented with 1 mm CaCl2 and 10 mg/ml BSA (Sigma Aldrich). Adrenal medulla's were resuspended in DMEM containing 1% penicillin/streptomycin and 15% fetal bovine serum (FBS) (Sigma Aldrich) and were mechanically dissociated with a fire polished Pasteur pipette. A drop (100 μl) of this concentrated cell suspension was plated on polyornithine-coated (1 mg/ml) and laminin-coated (5 μg/ml) (Sigma Aldrich) Petri dishes, and subsequently (30 min later) 1.9 ml DMEM containing 1% penicillin/streptomycin and 15% FBS was added. The primary chromaffin cell culture was kept in an incubator at 37°C in a water-saturated atmosphere with 5% CO2.
Electrophysiology.
Currents and APs were recorded in perforated patch conditions using a Multiclamp 700B microelectrode amplifier and pClamp 10.0 software (Molecular Devices). Traces were sampled at 10 kHz using a Digidata 1440A acquisition interface (Molecular Devices) and filtered using a low-pass Bessel filter set at 1–2 kHz. Borosilicate glass pipettes (Kimble Chase) with a resistance of 2–3 MΩ were dipped in an Eppendorf tube containing an intracellular solution with a composition that differed according to the experimental aim (see below, Solutions) and then backfilled with the same solution containing 500 μg/ml of amphotericin B dissolved in DMSO (Sigma Aldrich). Recordings were initiated after amphotericin B lowered the access resistance below 15 MΩ (5–10 min). Series resistance was compensated by 80% and monitored throughout the experiment. Fast capacitive transients during stepwise voltage-clamp depolarizations were minimized online using the patch-clamp analog compensation. Uncompensated capacitive currents were further reduced by subtracting the averaged currents in response to P/4 hyperpolarizing pulses. Holding potential (Vh) in voltage-clamp mode was set at −70 mV except when we used dihydropyridines (DHPs). Given that Vrest approximates −50 mV and given the voltage dependency of DHP binding (Mahapatra et al., 2011), Vh was set at −50 mV in voltage-clamp experiments when the LTCC contribution to the total Ca2+ current and the Ca2+ channel selectivity of SK channel activation was tested by means of selective Ca2+ channel blockers (nifedipine and ω-toxins; see Solutions, below). When we switched to the current-clamp mode, the input cell resistance was measured by injecting a hyperpolarizing current of −10 pA, starting from Vh= −70 mV. Normal current-clamp mode was performed without any correction of the slow patch-clamp response to fast current injections, since results have been shown to be similar as those obtained in fast current-clamp mode as described in Marcantoni et al. (2010). The AP clamp experiments undertaken to reveal the SK current were performed by stimulating each single cell in current-clamp mode with 15 pA current injection, starting from a Vh of −80 to −70 mV, using the cell's own APs as voltage-clamp command. When measuring Ca2+ currents flowing during the AP waveform, CsCl was present in the intracellular solution to block K+ (and Na+) currents and no APs could be evoked. In this case we used representative AP trains as voltage-clamp stimulus.
Solutions.
For current-clamp, AP-clamp, and voltage-clamp recordings of K+ and Na+ currents, the intracellular solution contained (in mm): 135 KAsp, 8 NaCl, 20 HEPES, 2 MgCl2, 5 EGTA, pH 7.4 (with NaOH; Sigma Aldrich). For Ca2+ current recordings the intracellular solution contained (in mm): 135 Cs-MeSO3, 8 NaCl, 2 MgCl2, and 20 HEPES, pH 7,4 (with CsOH; Sigma Aldrich). For current-clamp and K+ current recordings in voltage-clamp and AP-clamp, the extracellular solution was a physiological Tyrode's solution containing (in mm): 130 NaCl, 4 KCl, 2 CaCl2, 2 MgCl2, 10 HEPES and 10 glucose; pH 7.4 (with NaOH; Sigma Aldrich). SK currents were measured in the voltage-clamp mode using a Tyrode's solution with varying K+ concentrations (2, 4, 6, and 12 mm) depending on the experimental goal. Changes in KCl concentrations were compensated with an identical concentration of NaCl. The extracellular solution used for Ca2+ current measurements in voltage-clamp and AP-clamp configuration contained (in mm): 135 TEA, 2 CaCl2, 2 MgCl2, 10 HEPES, 10 glucose, pH 7.4 (with TEA-OH; Sigma Aldrich). For Na+ current measurements the extracellular solution contained (in mm): 104 NaCl, 30 TEACl, 4 KCl, 2 CaCl2, 2MgCl2, 10 HEPES, and 10 glucose, pH 7.4 (with NaOH; Sigma Aldrich). Tetrodotoxin (TTX) (Tocris Bioscience) was applied at 300 nm to block Na+ currents when we recorded Ca2+ and SK currents. As reported previously (Mahapatra et al., 2011), Na+ currents in MCCs were completely blocked by 300 nm TTX. They were fast inactivating and not persistent. To avoid contamination of BK currents during SK current measurements in voltage-clamp and AP-clamp mode, 1 μm paxilline (Sigma Aldrich) was added. LTCCs were blocked using 3 μm nifedipine (Sigma Aldrich). P/Q-type, N-type, and R-type channels were blocked by 2 μm ω-agatoxin IVA, 3,2 μm ω-conotoxin, and 400 nm of SNX-482, respectively (Peptide Institute). Total Ca2+ current and Ca2+-activated K+ currents were blocked by 200 μm Cd2+, while SK channels were blocked by 200 nm apamin (Alomone Labs) and potentiated by 1 μm 1-EBIO (Tocris Bioscience). To check for the degree of coupling of the Ca2+ source to SK channels, we used the cell-permeable Ca2+ chelators EGTA-AM (20 μm) or BAPTA-AM (20 μm) (Invitrogen).
All solutions were perfused using a gravity-based perfusion system as described previously (Marcantoni et al., 2010). Current-clamp data were not corrected for the liquid junction potential (LJP) (15.4 mV at 22°C) because the blockers tested were used at concentrations that did not affect the LJP any further (0.1–1000 nm apamin). When using extracellular solutions with different [K+]o as compared to the Tyrode's standard described above, the LJP was subjected to minor changes (15.5, 15.3, and 15.0 mV for solutions containing 2, 6, and 12 mm K+, respectively) as compared to the 4 mm K+ Tyrode's standard. In Figure 1C, data shown were not corrected for the LJP. The LJP for the Na+ current measurements using the solutions described above was 16.3 mV.
Figure 1.
SK channel expression, SK measurements by means of slow tail currents, and their sensitivity to apamin. a, RT-PCR performed on cDNA, after retrotranscription of mRNA isolated from six mouse adrenal medullas (M) and three mouse brains (B) (used as positive controls). (−) represents negative control; no cDNA was added. Specific bands can be observed for SK1 (564 bp), SK2 (354 bp), SK3 (590 bp), and BK (381 bp). N = 3 mice, done in triplicate. b, Slow tail current amplitudes plotted against the voltages at which tails were evoked. Right side shows voltage-clamp protocol and representative traces of a WT MCC bathed in 4 mm K+-containing Tyrode's solution. Blue line and triangles are recordings in a Tyrode's solution with 6 mm K+ (n = 4), red line and dots are recordings with 4 mm K+ (n = 7), and black line and squares represent recordings with 2 mm K+ (n = 6). Data shown are not corrected for LJP. c, Apamin dose–response curve on slow tail currents evoked by 250 ms Ca+ loading, measured at −95 mV in the presence of 12 mm K+ in the bath. Data are expressed as percentage block versus [apamin]. The continuous curve is a best fit with a double sigmoid function with saturating values at 66% (IC50 = 0.3 nm) and 82.8% (IC50 = 80 nm). d, Representative traces of SK currents in control (ctrl) condition (black), during application of 200 nm apamin (red) and 1 μm 1-EBIO (gray). Top, Pulse protocol used. Bottom, Mean current density at control (n = 39), with apamin (n = 39; ***p < 0.001), and with 1-EBIO (n = 6; ***p < 0.001). Degree of significance was determined by one-way ANOVA followed by a Bonferroni post hoc analysis.
Analysis and statistics.
Data analysis and curve fitting were performed using either Clampfit version 10.0 (Molecular Devices) or Origin Pro 6.0 (OriginLab). Statistical analysis was performed with SPSS statistics 20 software (IBM). Data are given as mean ± SEM for the number (n) of cells. Statistical significance (p) was calculated using either the paired/unpaired two-tailed Student's t test or a one-way ANOVA followed by a Bonferroni post hoc analysis. Data were considered statistically significant with p ≤ 0.05.
RNA isolation, cDNA synthesis, and RT-PCR.
For RT-PCR analysis, adrenal medullae were dissected with small forceps and immediately frozen in liquid nitrogen and stored at −80°C before use. RNA was isolated using the RNeasy mini kit (QIAGEN) following the manufacturer's instructions. After reverse transcription using Sensiscript RT kit (QIAGEN), PCR was performed with ready-to-go beads (GE Healthcare). The following primers were used: SK1 for 5′-GGACAATGGTGCCGACGACT-3′, reverse 5′-GTGCAGCCTGCTCCCATGAT-3′ (expected size 564 bp); SK2 for 5′-TTCTAACAACCTGGCGCTCT-3′, reverse 5′-AACTGTATTTCCCTGGCGTG-3′ (expected size 354 bp); SK3 for 5′-CTGTCTTGAGAGTAGCCCCG-3′, reverse 5′-AGCAGCCTTCCTTTTGTGAA-3′ (expected size 590 bp); BK1 for 5′-CACATTGTGTTTGTGGGCTC-3′, reverse 5′-GATGATGGGAATGTTGACCC-3′ (expected size 381 bp).
Results
MCCs express KCNN channels which generate “slow tail” currents sensitive to apamin during Ca2+ loading
RT-PCR gave evidence of the expression of SK1, SK2, and SK3 mRNA in the medulla isolated from mouse adrenal glands as well as in brain (which served as positive control) (Fig. 1a). All bands corresponded to the expected sizes predicted from KCNN1–3 genes. The identity of the bands with SK channel sequence was confirmed by sequencing of PCR products. This clearly indicates that MCCs express all three SK channels besides BK channels (Fig. 1a) that were a matter of interest in previous studies (Marcantoni et al., 2010; Vandael et al., 2010).
SK currents in primary chromaffin cell cultures exhibit typical “slow tails” following Ca2+-loading steps that last seconds and faithfully represent K+ channel deactivation (Neely and Lingle, 1992; Park, 1994, 1996). Upon repolarization to negative potentials (from −50 to −120 mV), only voltage-independent channels remain open for prolonged time spans, and tail amplitudes measured 30 ms after repolarization onset are free of fast tails of voltage-dependent K+ channels (Neely and Lingle, 1992; Solaro and Lingle, 1992; Park, 1994). Also, the slowly deactivating T-type Ca2+ channels are closed after few milliseconds at very negative potentials (Novara et al., 2004; Carabelli et al., 2007). SK tail currents were measured after Ca2+-loading steps at 0 mV, where Ca2+ channel activation is maximal in 2 mm extracellular Ca2+ (Marcantoni et al., 2010). Loading step duration was set at 250 ms because saturation of the slow tail amplitude occurred at this time (data not shown). As illustrated in Figure 1b, varying the extracellular K+ concentration from 2 to 6 mm clearly indicates that the measured currents are consistent with a K+-selective conductance. After correction for the LJP (see Materials and Methods), the currents reverted at Nernst potentials of −110.5, −92.5, and −78.3 mV for 2, 4, and 6 mm extracellular K+, respectively (Fig. 1b), in good agreement with the predicted reversal potentials of −106 mV (2 mm), −88 mV (4 mm), and −78 mV (6 mm). This also excludes the possibility of a partial contribution of Ca2+-activated Cl− currents to slow tail currents as reported previously (Korn and Weight, 1987).
Since apamin block is the fingerprint of SK channels, we subsequently tested for the apamin sensitivity of slow tail currents. The percentage block of K+ tail currents by apamin is shown in Figure 1c and represents pooled outcomes of 24 cells (Fig. 1c). Maximal block was obtained at 1 μm apamin (82.8%), and the dose–response curve was best fitted by a double-sigmoid function with IC50 values of 0.3 nm (80% block) and 80 nm (20% block). This might be explained by a coexpression of diverse SK channel α-subunits with different apamin sensitivities (Weatherall et al., 2011). Figure 1d shows the block of slow tails by 200 nm apamin (red trace) and the current increase induced by the SK enhancer 1-EBIO (1 μm; gray trace). Intracellular solution and extracellular solution contained 135 and 12 mm K+, respectively; tail currents were measured at −95 mV. The mean peak amplitude at control decreased by ∼80% with apamin (p < 0.001; n = 39) and nearly doubled with 1-EBIO (p < 0.001; n = 6). The incomplete block by apamin (15–20%) might be due to the presence of less apamin-sensitive SK1 channels. The presence of heteromeric SK channels cannot be excluded.
SK channels slow down MCCs spontaneous firing and set the interspike interval
MCCs fire spontaneously under control conditions (Marcantoni et al., 2009, 2010). Application of 200 nm apamin to a spontaneously firing MCC induced a strong and significant increase in the firing rate from 0.7 ± 0.12 Hz up to 2.4 ± 0.2 Hz (n = 14; p < 0.001) (Fig. 2a, left, b). In addition, we observed that slow-firing cells were more sensitive to apamin than fast firing cells, which responded weakly to the SK blocker (Fig. 2b). Given this, we plotted the basal firing frequency against the percentage of frequency increase by apamin and found a remarkable linear relationship between the two parameters (R = −0.85; p < 0.001; n = 12) (Fig. 2b). This is strong evidence that slow-firing cells are controlled by robust, tonic SK currents that are crucial to set the spontaneous firing of resting MCCs.
Figure 2.
SK channels slow down spontaneous MCCs firing and are crucial for Na+ channel recovery. a, Representative trace of the effect of 200 nm apamin on a spontaneously firing MCC (left). Averaged APs indicated by the black (ctrl, control) and red (apa, apamin) grids are shown overlapped to the right. b, Apamin induced a 3.4-fold increase (n = 14) in the mean spontaneous firing frequency (***p < 0.001, paired Student's t test). Basal firing frequency was plotted against the percentage increase of the frequency induced by apamin (n = 12). Linear regression uses a maximum likelihood estimate with a correlation coefficient of −0.85. c, Histogram distribution of the ISI duration in control (black, dashed) and during SK block by apamin (red), obtained from n = 12 cells. The top inset shows an example of the irregular firing pattern in control and more regular firing during apamin exposure. The bottom inset shows the decrease of the coefficient of variation (CV) induced by apamin (***p < 0.001, paired Student's t test). d, Phase plane plots (dV/dt vs V) from APs measured in control (black) and during apamin application (red) respectively. Vthresh was defined as the point where dV/dt reaches 4% of its maximal value (indicated as dV/dtmax). e, Evolution of dV/dtmax during an AP-train in control conditions (black) and during SK block by apamin (red). Degree of significance was determined by a one-way ANOVA followed by a Bonferroni post hoc analysis (**p < 0.01; ***p < 0.001).
Although it has been reported that SK channels enhance precision of firing in globus pallidus and GABAergic substantia nigra pars reticularis (SNr) neurons (Deister et al., 2009; Atherton and Bevan, 2005), in MCCs the opposite seems to be true (Fig. 2a, left). The firing pattern of MCCs is slow and rather irregular at control and becomes faster and more regular with apamin. This is convincingly proven by comparing the distribution of the ISI duration in control versus apamin (Fig. 2c). The mean ISI duration was larger and more broadly distributed at control conditions (gray bars) with respect to apamin (red bars). Taking the coefficient of variation (CV) of the two distributions (CV = standard deviation/mean) as an estimate of the regularity of the firing pattern (Fig. 2c, inset), we found that after SK block (0.5 ± 0.05) CV was significantly smaller with respect to control (0.9 ± 0.08; p < 0.001; n = 13). When basal firing frequencies (mild apamin effects) were plotted against CV we found a negative linear correlation (R = −0.78; p = 0.001; n = 12) (data not shown). This suggests that SK channels are responsible for the slow and irregular firing patterns observed at rest and that upon stimulation they could induce some degree of SFA.
Next we analyzed the effect of blocking SK channels on AP waveforms. The right part of Figure 2a shows the overlap of the averaged APs in control (black grids in a) and in the presence of 200 nm apamin (red grids in a). It should be noticed that the increase in MCC excitability was accompanied by a significant depolarization of Vrest (from −46.0 ± 1.1 to −44.2 ± 1.6 mV; p < 0.001; n = 14), consistent with a block of K+ conductance (Fig. 2a, left). The amplitude of the AHP was −52.4 ± 0.8 mV in control conditions and decreased to −48.5 ± 0.9 mV with apamin (p < 0.001; n = 14) (Fig. 2a, right). Since Ca2+-activated K+ channels assist the repolarization, fastening the return to baseline and beyond, we measured the effects of apamin on the AP half-width. Half-width after perfusion with apamin was 4.2 ± 0.4 ms, which was significantly bigger than the control value, 2.8 ± 0.2 ms (p < 0.001; n = 14) (Fig. 2a, right). Apamin furthermore significantly reduced the AP overshoot by about a factor 2 (from 26.3 ± 1.7 to 13.6 ± 1.5 mV; p < 0.001; n = 14) (Fig. 2a). By blocking an effective repolarization one would expect an increase rather than a decrease of the AP overshoot. Thus, the increased firing frequency in combination with the Vrest depolarization and spike broadening induced by apamin likely reduces the recovery of voltage-gated Na+ (Nav) channels.
SK channels preserve the high rate of Nav channel recovery at rest
A reduced availability of transient Nav channels supporting the spike upstroke is generally reflected in a depolarization of the spike threshold (Vthresh) and a gradual decay of dV/dtmax (Gettes and Reuter, 1974; Colbert et al., 1997; Mercer et al., 2007; Deister et al., 2009). This information can be easily obtained by displaying the membrane voltage (V) against its first time derivative (dV/dt), resulting in a “phase plane” plot (Jenerick, 1963) for control (black) and apamin (red) (Fig. 2d). Vthresh was taken as the point where dV/dt reaches 4% of its maximal value (Khaliq and Bean, 2010) and is indicated by the dashed line in Figure 2d. Phase plane plots under control conditions (black traces) were calculated from the APs indicated by the black grids in Figure 2a. Red phase plane plots at the bottom of Figure 2d were obtained from APs recorded during apamin application, from the onset of the effect up to the level where the action of the drug stabilized. To measure Vthresh we used a phase plane plot from the averaged APs in control and after apamin effect was stable. Vthresh at control was significantly lower than that with apamin: −27.6 ± 0.5 mV versus −25.9 ± 0.5 mV (p < 0.001, n = 13) (Fig. 2d). dV/dtmax was furthermore nearly constant around 60 V/s at control (n = 13) (Fig. 2e, black squares) while it decreased steeply after perfusion with apamin (23.5 ± 4.6 V/s at ninth AP, p < 0.001; n = 13) (Fig. 2e, red dots). Both findings thus indicate that fewer NaV channels were available during the fast-firing patterns induced by apamin.
An important question is thus how Na+ currents adapt in spontaneously firing MCCs when SK channels are blocked by apamin. To clarify this, we performed AP-clamp experiments using a train of APs in control (Fig. 3a, left, black) and during apamin exposure (Fig. 3a, right, red) as a voltage command. AP trains were derived from current-clamp recordings performed before on the same cell (e.g., Fig. 2a). Ca2+ and K+ currents were blocked by 200 μm Cd2+ and 30 mm TEA, respectively. Under these conditions, 300 nm TTX (Fig. 3b, gray trace) fully abolished the control inward currents (Fig. 3b, black traces), indicating that these currents were carried by TTX-sensitive Na+ channels. The corresponding TTX-sensitive Na+ currents, obtained by subtracting the trace with TTX from control are shown in Figure 3c (blue traces). Insets in Figure 3b show the TTX-sensitive Na+ current flowing during the third AP (arrows) in control (left) and with apamin (right).
Figure 3.
Fast firing patterns associated with SK block lead to a progressive decline of TTX-sensitive Na+ currents. a, AP firing in control conditions (left, black) and during 200 nm apamin application (right, red) were used as voltage-clamp commands. b, Current traces recorded in a control Tyrode's solution containing 104 mm NaCl, 30 mm TEACl, and 200 μm Cd2+ (black) and during application of 300 nm TTX (gray). c, Subtraction of the traces in b results in the TTX-sensitive Na+ current (blue). Insets in b are time scale expansions of the Na+ currents at the time indicated by the arrow (third AP). Inset in c shows the evolution of the Na+ current amplitude during the command AP train in control (ctrl; solid line) and during SK block by apamin (apa; dotted line) (n = 9). Degree of significance was determined by a one-way ANOVA followed by a Bonferroni post hoc analysis (*p < 0.05).
The evolution of the peak Na+ current amplitude for each spike at control and with apamin is given in the inset of Figure 3c. In brief, Na+ currents for all spikes of the AP-train in control conditions had comparable amplitudes (p > 0.05; n = 9), while fast AP firing associated with apamin went along with a steep and almost threefold decline of Na+ current peaks (p < 0.05; n = 9; Fig. 3c, inset). Note that Na+ influx is limited to the rising phase of the APs and inactivates completely during the falling phase (Fig. 3b, insets). Na+ current amplitude for spike 5 was significantly bigger during control as compared to apamin (p < 0.05). Thus, we conclude that the wider APs and the faster firing patterns induced by depolarized Vrest evoke a marked Na+ channel inactivation in MCCs that leads to gradually decreasing AP amplitudes. In other words, apamin decreases Na+ channel availability during trains of APs by preventing the high rate of Na+ channel recovery that occurs during normal interspike intervals.
Cav1.3 channels are crucial for SK-dependent spike frequency adaptation in MCCs
We have previously shown that loss of Cav1.3 leads to a strong reduction of the percentage of spontaneously active cells (Marcantoni et al., 2010) and that spontaneously active Cav1.3−/− MCCs possess unusually high firing frequencies at elevated Vrest values, possibly due to a lower availability of SK channels (as shown in Fig. 2b). Furthermore, nifedipine (3 μm) leads to a marked depolarization of Vrest, indicative of a close interaction between LTCCs and Ca2+-activated K+ channels (Marcantoni et al., 2010). In addition to this, in several central neurons SK channels are shown to be involved in SFA, a process that can be defined as the gradual decrease of the instantaneous firing frequency upon sustained current injections (Benda and Herz, 2003). Thus, we studied whether SK currents lead to SFA in MCCs and whether an aberrant activation of SK currents in the absence of Cav1.3 LTCCs might interfere with this process. This would explain the previously observed findings reported by Marcantoni et al. (2010).
WT MCCs typically responded to current injections with a train of APs that were marked by a gradual decay of the instantaneous firing frequency. The instantaneous firing frequency toward the end of the pulse (fss) was always smaller as compared to that measured at onset (fo), giving rise to an adaptation ratio fo/fss always >1 (Fig. 4a). When the current step was increased from 5 to 15 pA, WT MCCs responded with a twofold increase of fo (p < 0.001; n = 56) while fss increased by 1.6-fold, indicative of the adapting behavior of these cells (Fig. 4b, left). On the contrary, deletion of Cav1.3 resulted in MCCs that required current steps >5 pA to evoke APs (70.6% of cases). In addition, 15 pA of current led to a significant 1.9-fold increase of fss in Cav1.3−/− MCCs (p < 0.001; n = 28) as compared to WTs (Fig. 4b, left). fo was nearly unaffected, meaning that the adaptation ratio of Cav1.3−/− MCCs is twofold lower (2.5 vs 5.1) as compared to WT MCCs for 15 pA current injection.
Figure 4.
SK-dependent spike frequency adaptation is strongly attenuated in Cav1.3−/− MCCs. a, Representative current-clamp responses for WT (left) and Cav1.3−/− MCCs (right) after 5, 10, or 15 pA current injection from Vh= −70 mV (from top to bottom). Traces in red at the bottom illustrate the effect of SK block by 200 nm apamin for WT and Cav1.3−/− MCCs after 15 pA current injection. b, left, Mean values of fo (white bars) and fss (black bars) in WT and Cav1.3−/− MCCs during 5, 10 and 15 pA current injection, obtained from n = 44, 67 and 56 WT MCCs, respectively, and from n = 51 and 28 Cav1.3−/− MCCs for 10 and 15 pA, respectively. b, right, Comparison of the effect of apamin (apa) on fo (white bars) and fss (black bars) between WT (n = 23) and Cav1.3−/− MCCs (n = 19) during 15 pA current injection. fo was defined by the first interspike interval duration and fss by the last interspike interval duration as indicated in a (top). c, Instantaneous firing frequency calculated at each ISI during 5 (light gray triangles), 10 (dark gray dots), and 15 pA (black squares) current injections in WT (left) and Cav1.3−/− MCCs (right). WT and Cav1.3−/− data were fitted by an exponential decay function with τSFA = 1 ± 0.3, 0.7 ± 0.1, and 0.9 ± 0.1 for 5, 10, and 15 pA in WT MCCs and τSFA = 0.9 ± 0.4 and 1.7 ± 0.4 for 10 and 15 pA in Cav1.3−/− MCCs, respectively. d, Effect of SK block on the evolution of the instantaneous firing frequency in WT (left) and Cav1.3−/− MCCs (right) at 15 pA. Black squares represent control, red squares indicate the presence of apamin. WT apamin and Cav1.3−/− apamin data were fitted by exponential decay functions with τSFA = 2 ± 0.7 and 1.5 ± 0.4, respectively. Degree of significance was determined by a one-way ANOVA followed by a Bonferroni post hoc analysis (*p < 0.05, **p < 0.01, and ***p < 0.001).
As expected, apamin (200 nm) lead to elevated firing frequencies in WT MCCs (Fig. 4a, bottom). SK block specifically affected fss, leaving fo nearly unchanged (Fig. 4B, right). For 15 pA current injection, apamin gave rise to a significant 2.2-fold increase of fss in WT MCCs (p < 0.001; n = 23) that strikingly coincides with the value of Cav1.3−/− MCCs in control conditions (Fig. 4b, right). Moreover, apamin did not increase fss of Cav1.3−/− MCCs any further.
Besides monitoring the degree of SFA, we also measured the time course of the adaptation process (Fig. 4c,d). The time constant of the frequency decline (τSFA) was derived from single exponential fits of the data shown in Figure 4, c and d, which represent the evolution of the instantaneous firing frequency with each ISI. Significant differences (p < 0.05) in τSFA between WT and Cav1.3−/− MCCs were only found for 15 pA current injections (0.9 ± 0.1 and 1.7 ± 0.4, respectively) (Fig. 4c). This clearly indicates that, particularly for higher current steps, adaptation of the firing frequency takes considerably more time in Cav1.3−/− MCCs as compared to WTs. Again we found a striking similarity between τSFA of Cav1.3−/− MCCs and WT MCCs perfused with apamin (τSFA = 2.0 ± 0.7) (Fig. 4d). Notice also that apamin does not affect the development of SFA in Cav1.3−/− MCCs any further (Fig. 4d, right). It thus turns out that SFA in Cav1.3−/− MCCs is reduced and requires more time to develop than in WT MCCs.
SK block or lack of Cav1.3 lowers the ability to generate sustained AP trains during strong depolarization
The increase of an SK channel conductance that follows gradual intracellular Ca2+ accumulation during a train of APs is found to lower the cell resistance (Engel et al., 1999). This in turn contributes to the sequential widening of the ISI duration (slows down the pacemaker cycle) and could furthermore lead to an increase of the input current that the cell can deal with. Since we found that Cav1.3−/− MCCs show less SK-dependent SFA, it could be that these cells show an earlier transition into depolarization block (defined as a short train of spikes followed by a sustained membrane depolarization). This hypothesis was tested by looking at the responses of WT and Cav1.3−/− MCCs to current injections ranging from 1 to 30 pA (Fig. 5a). We observed that while driving up the current intensity, the adaptation ratio (fo/fss) for WT MCCs increased following an exponential function that showed no saturation in the current range tested (τ = 11.7 ± 0.7 pA; R2 = 0.94; n = 67). Cav1.3−/− MCCs (n = 51), as well as WT MCCs perfused with apamin (200 nm) (n = 42), were both characterized by a much faster time constant (τ = 1.6 ± 0.1 pA; R2 = 0.9 and 1.7 ± 0.5 pA; R2 = 0.9, respectively) as compared to WT MCCs in control conditions (p < 0.001; Fig. 5b).
Figure 5.
Loss of Cav1.3 and blockade of SK lead to reduced adaptation ratios and earlier onset of depolarization block. a, Representative voltage responses to increasing current injections of WT MCCs in control conditions (left, black traces) and upon perfusion with 200 nm apamin (middle, red) compared with Cav1.3−/− MCCs (right, blue). b, To the left are shown the adaptation ratios (fo/fss) for current injections between 1 and 20 pA, comparing WT in control (black; n = 67) with WT MCCs treated with apamin (red; n = 42). To the right are shown the adaptation ratios of WT and Cav1.3−/− MCCs (n = 51) for current steps of increasing intensity. Adaptation ratios were fitted with the following function, Y0 + A1 e (−x/τ), with Y0, A1, and τ as variables. The values of the variables for WT, WT with apamin, and Cav1.3−/− fits were: 8, −7.6 ± 0.2, 11.7 ± 0.7 pA (R2 = 0.94); 3, −3.09 ± 0.38, 1.7 ± 0.5 pA (R2 = 0.9); and 3, −3.1 ± 0.09, 1.6 ± 0.1 pA (R2 = 0.9), respectively. c, Minimal amount of current required to elicit a train of APs (rheobase) was normally distributed for WTs as well as Cav1.3−/− MCCs. WT (dashed bars, black line) and Cav1.3−/− (blue bars, blue line) data were fit by a Gaussian function (R2 = 0.95 for WT and 0.97 for Cav1.3−/−) around a mean of 4.0 ± 0.2 pA and 6.6 ± 0.4 pA, respectively (p < 0.001). d, e, Onset of depolarization block (dep. block) for control WT (dashed bars, black line), apamin (apa)-treated WT (red bars, red line), and Cav1.3−/− MCCs (blue bars, blue line) was normally distributed and fit by Gaussian functions defined by an R2 value of 0.73, 0.87, and 0.9, respectively. WT data were distributed around a mean of 19.5 ± 0.7 pA and were found to be significantly (p < 0.001) different from those of Cav1.3−/− MCCs (13.6 ± 0.6 pA) and WT MCCs treated with apamin (14.6 ± 0.5 pA). Degree of significance was determined by a one-way ANOVA followed by a Bonferroni post hoc analysis.
Figure 5c illustrates the distributions of the rheobase (minimal amount of current to trigger a spike) for WT and Cav1.3−/− MCCs (black and blue, respectively). Mean value of the current required to trigger an AP was 4.0 ± 0.2 pA (n = 56) for WT MCCs and turned out significantly larger (6.6 ± 0.4 pA; p < 0.001; n = 51) for Cav1.3−/− MCCs (Fig. 5c). This is not surprising given that Cav1.3 LTCCs open at rather negative Vm, show weak voltage-dependent inactivation, and are characterized by fast activation kinetics (Koschak et al., 2001; Xu and Lipscombe, 2001; Mangoni et al., 2003; Marcantoni et al., 2010). Interestingly we found that the stagnating adaptation ratio of Cav1.3−/− MCCs and apamin-treated WT MCCs were correlated with an earlier onset of depolarization block (Fig. 5a, bottom). For WT MCCs under control conditions, the onset of depolarization block (19.5 ± 0.7 pA; n = 67) was 4.9 and 5.9 pA higher than in apamin-treated WT cells (14.6 ± 0.5 pA; p < 0.001; n = 42) (Fig. 5d) and Cav1.3−/− MCCs (13.6 ± 0.6 pA; p < 0.001; n = 51), respectively (Fig. 5e). Thus, loss of Cav1.3 LTCCs or block of SK channels reduces the ability of MCCs to adapt their firing frequency and favors the transition into a complete depolarization block with moderate currents. This also implies that besides serving as pacemakers, Cav1.3 LTCCs do also set the value of maximal current injection that the cell can handle.
SK-dependent NaV channel recovery is strongly attenuated in Cav1.3−/− MCCs
NaV channels contribute specifically to the spike upstroke of the APs elicited in MCCs (Mahapatra et al., 2011). NaV channel availability is reflected in the AP peak height, the Vthresh value, and the velocity of the upstroke phase (dV/dtmax). We have previously shown that SK channels enhance the availability of NaV channels at rest. Since Cav1.3−/− MCCs are less able to trigger SK currents, we reasoned that this should have severe consequences on NaV channel recovery between induced APs. A possible gradual accumulation of NaV channel inactivation might also partly explain the earlier switch into depolarization block of Cav1.3−/− MCCs. We thus compared AP waveforms triggered by 15 pA from Vh= −70 mV of WT (black), Cav1.3−/− (blue), and WT MCCs with apamin (red) (Fig. 6a). Data were derived from the AP waveforms shown in Figure 4, 5 and phase plane plots were obtained to measure the evolution of Vthresh and dV/dtmax (Fig. 2).
Figure 6.
Reduced degree of SK-dependent SFA of Cav1.3−/− MCCs is reflected in an increased degree of Na+ channel inactivation and progressive changes of the AP waveform. a, Overlap of APs, together with their respective phase plane plots (dV/dt vs V) retrieved from a spike train triggered by 15 pA current injection for WT MCCs (top, black), Cav1.3−/− MCCs (middle, blue), and WT MCCs perfused with apamin (bottom, red). b, Evolution of the peak amplitude with time for WT (black squares), Cav1.3−/− (blue dots), and WT MCCs perfused with apamin (red triangles) (***p < 0.001). c, Same as for b, but taking into consideration dV/dtmax (**p < 0.01; ***p < 0.001). d, Comparison of Vthresh in control (ctrl; black bars) and during apamin application (apa; red bars) between the first AP and the last AP of the spike train for WT MCCs (left) and Cav1.3−/− MCCs (right) (*p < 0.05). Degree of significance was determined by a one-way ANOVA followed by a Bonferroni post hoc analysis.
For WT MCCs we found a gradual reduction of both the AP peak amplitude and dV/dtmax while progressing from the first to the last spike of the AP-train. This effect on both parameters, however, could be considered moderate as compared to what observed for Cav1.3−/− and apamin-treated WT MCCs. The steady-state value of the AP peak in control conditions for WT MCCs (n = 23) was 6.6- and 2.5-fold bigger as compared to Cav1.3−/− (p < 0.001; n = 19; Fig. 6b, left) and apamin-treated WT MCCs (p < 0.001; n = 18; Fig. 6b, right), respectively. When applied to Cav1.3−/− MCCs, apamin had no significant effect on steady-state AP peaks as compared to control (5.6 ± 2.6 mV; n = 18 vs 2.7 ± 2.4 mV; n = 19) (data not shown). No significant differences were found between groups concerning AP peak amplitude at onset.
Data on dV/dtmax were in line with those for the peak amplitude (Fig. 6c). Cav1.3 deletion and SK block lead to 3.2 and 1.9-fold lower dV/dtmax steady-state values as compared to WT MCCs (Fig. 6c). Again steady-state dV/dtmax for Cav1.3−/− MCCs under control conditions (6.3 ± 1.3 V/s; n = 19) were found comparable to those under perfusion with apamin (6.6 ± 1.3 V/s; n = 18) (data not shown).
Finally, we compared Vthresh of the first and last AP of the train for WT (n = 23) and Cav1.3−/− MCCs (n = 19) in control and after SK block by apamin (Fig. 6d). Vthresh was obtained as described in Figure 2. In WT and Cav1.3−/− MCCs, Vthresh shifted to more depolarized values during the last AP as compared to the first (from −29.1 to −28.5 mV for WT MCCs and from −27.7 to −24.8 mV for Cav1.3−/− MCCs) (Fig. 6d). Depolarization of Vthresh was significant (p < 0.05) only for the Cav1.3−/− MCCs. Apamin increased significantly the Vthresh of the last AP of WT (−25.4 ± 0.7 mV; p < 0.05), but not that of Cav1.3−/− MCCs (−25.5 ± 0.9 mV). Altogether, these findings suggest that the availability of SK channels minimizes the reduction of the AP peak, the dV/dtmax, and Vthresh observed in Cav1.3−/− MCCs. A reduced activation of SK channels in Cav1.3−/− MCCs is clearly reflected in the decreased ability to recover a sufficient amount of NaV channels that are required to maintain persistent AP firings during sustained depolarization.
SK channels build up a subthreshold K+ current that sets the duration of the interspike interval
Given the key role of SK in controlling SFA, we next measured the time course of SK currents during evoked APs. SK currents underlying a train of APs were measured in voltage-clamp using an AP train command recorded from the same cell in current-clamp mode (Fig. 7a). Trains of APs were recorded during a 15 pA current injection of 700 ms, starting from a Vh of −70 to −80 mV. As for the slow tail current measurements (Fig. 1b–d), all current traces were obtained in the presence of 300 nm TTX and 1 μm paxilline as control (black) and in the presence of apamin (red) to block the presumptive SK current (Fig. 7b). SK currents (Fig. 7b, blue traces) were obtained by subtracting control traces (Fig. 7b, black) from the apamin-resistant current (Fig. 7b, red trace). Strikingly, there was a robust SK current flowing during the three ISIs that progressively increased during the train (Fig. 7c).
Figure 7.
SK currents build-up during the interspike intervals at subthreshold potentials. a, Train of APs from a representative WT MCC recorded after 15 pA current injection of 700 ms, starting from Vh= −70 mV. This trace was subsequently used as voltage-clamp command to reveal the SK currents on the same cell. b, All current traces were obtained in the presence of 300 nm TTX and 1 μm paxilline as control (black) and in the presence of 200 nm apamin (red) to block the presumptive SK current. c, SK currents (blue) obtained after subtraction of the apamin trace from the control trace of b. The two rectangles show time scale expansions of the blue trace from the second and third AP, as indicated. Right inset, SK charge density (pC/pF) obtained by integrating the area under the curve of the SK current as shown in c. Mean SK charge densities flowing during the spike (indicated by the gray area in the insets) are given as hatched bars, those flowing during the following ISI are shown as black bars. Significant differences were obtained by one-way ANOVA followed by a Bonferroni post hoc analysis (*p < 0.05, **p < 0.01, and ***p < 0.001).
Considering the SK current amplitude, we found that maximal values were obtained during the spike upstroke and the repolarization phases at Vm between −20 and −10 mV (Fig. 7c, left and center insets). Interestingly, we also observed a dip in SK current at the AP peak that was associated with a decrease of SK conductance. This is evident when comparing the mean SK current at the last AP peak (22.7 pA at 22 mV; n = 13) with that during the third ISI (18.7 pA at −38 mV; n = 18). With a K+ reversal potential of −77 mV (Fig. 1b), this corresponds to a conductance of 0.48 nS at the ISI and 0.22 nS at the peak. The almost twofold decrease of SK conductance at the AP peak is likely due to the SK channel's inwardly rectifying properties (Soh and Park, 2001; Li and Aldrich, 2011) and not to a sudden drop of cytosolic Ca2+ during the narrow AP peak (∼0.5 ms). Cytosolic Ca2+ decays slowly, as reflected by the slow tail current kinetics (Park et al., 1996). In addition, SK channel deactivation occurs within 15–60 ms when Ca2+ is instantly removed (Hirschberg et al., 1998; Berkefeld et al., 2010; Adelman et al., 2012). SK channel closing is thus also too slow to sense any drop of Ca2+ during an AP peak lasting <1 ms. The phenomenon of inward rectification was not further considered in this work.
Given the short duration of the spikes as compared to the ISIs, we calculated the integral under the curve obtained after subtraction of the apamin trace from control (Fig. 7c) to obtain the net K+ charge carried by open SK channels. The SK charge was then normalized to the cell capacitance (pC/pF). We observed SK charge densities that increased progressively during the AP train and were larger during the ISI (Fig. 7c, right, black bars) with respect to the preceding spikes (Fig. 7c, right, hatched bars; p < 0.05). At ISI 3 the SK charge density was fourfold larger than at spike 3 (Fig. 7c; p < 0.001; n = 13;). It is thus evident that most of the SK current flows during the interspike potentials and only a very small fraction during the spike itself.
SK currents flowing during the interspike intervals are mainly Cav1.3-driven
Given that SK currents are subthreshold currents that mainly sustain the ISIs and that SK-dependent SFA is strongly attenuated in the absence of Cav1.3, we next tested whether Cav1.3 was the main responsible VGCC for the ISI-specific SK current. We have previously shown that the ISI is dominated by a prominent subthreshold Cav1.3 current, critical for MCC auto-rhythmicity (Marcantoni et al., 2010). Given that both Cav1.3 and SK currents show remarkable overlapping activation patterns during the ISI, a close relationship between both types of currents might exist. To test this, AP-clamp experiments were performed to study the Ca2+-dependence of the apamin-sensitive outward currents passing during the ISIs. As described previously, APs were triggered by 700 ms pulses of 15 pA from Vh = −70 mV (Fig. 8a). This led to 3.5 ± 0.3 spikes in WT (n = 7) and 5.3 ± 0.3 spikes in Cav1.3−/− MCCs (n = 8). The resulting train of APs was subsequently used as voltage-clamp command to trigger the Ca2+-driven apamin-sensitive outward currents that are mainly evident during the ISIs (Fig. 8a,b, black traces). LTCCs were blocked by 3 μm nifedipine (Fig. 8b, nife, red traces) while non-LTCCs (N, P/Q, R) were blocked by a mixture of 2 μm ω-agatoxin IVA, 3.2 μm ω-conotoxin GVIA, and 400 nm SNX-482 (Fig. 8b, tox, blue traces). To avoid contamination by BK or Na+-activated K+ currents, all traces were recorded in the presence of 300 nm TTX and 1 μm paxilline. Block of outward currents by apamin (Fig. 8b, green traces) was taken as evidence that the currents were SK channel operated.
Figure 8.
The absence of interspike-specific Ca2+ currents leads to a strongly attenuated SK current build-up in Cav1.3−/− MCCs. a, Representative train of APs from a WT (left) and Cav1.3−/− MCC (right) recorded after a 15 pA (700 ms) current step starting from Vh= −70 mV. The voltage traces were used as a voltage-clamp command to reveal the interspike-specific, apamin-sensitive currents. b, Representative Ca2+ and K+ currents recorded in control condition (ctrl; black trace) and in the presence of either 3 μm nifedipine (nife) (red), a toxin mixture (tox) (2 μm ω-Aga IVA, 3.2 μm ω-Ctx GVIA, 400 nm SNX-482) (blue), or 200 nm apamin (apa) (green). The control solution was a Tyrode's standard (2 mm Ca2+, 4 mm K+) containing 300 nm TTX and 1 μm paxilline. c, top, Representative Ca2+ currents covering the interspike interval of WT (left) and Cav1.3−/− MCCs (right). External solution contained 135 mm TEA, 300 nm TTX, and 2 mm Ca2+. Colored traces have the same meaning as in b. The gray traces were recorded in the presence of 200 μm Cd2+, and the cyan traces represent the time course of SK currents. c, bottom, Left and right insets show on an expanded time scale the Ca2+ currents flowing during the spike and the ISI of WT and Cav1.3−/− MCCs, respectively. d, Comparison of the SK charge density covering the last ISI between WT and Cav1.3−/− MCCs. Blockers are represented by the same colors used in b. e, LTCC and non-LTCC dependency of the total Ca2+-charge density (spike + ISI) of WT (left) and Cav1.3−/− MCCs (right). f, g, Same as for e but separating the Ca2+-charge covering the spike and the ISI, respectively. Significant differences were obtained by one-way ANOVA followed by a Bonferroni post hoc analysis (*p < 0.05, **p < 0.01, and ***p < 0.001).
Representative traces of the response of a WT MCC to L-type and non-L-type blockers are given in Figure 8b. The non-L-type blockers have nearly no effect on SK currents (Fig. 8 b,d, blue trace) while nifedipine (Fig. 8 b,d, red trace) fully blocks the outward current. Notice that the nifedipine trace closely overlaps with the apamin-resistant current (Fig. 8b,d, green trace). This indicates that SK current buildup is strongly dependent on L-type currents. SK charge densities with nifedipine (0.1 ± 0.03 pC/pF; n = 7) or apamin (0.1 ± 0.05 pC/pF; n = 7) in the bath (calculated by integrating the outward current in the interval from the AHP of the penultimate AP up to Vthresh of the last AP) were significantly different from those calculated for control (0.42 ± 0.06 pC/pF; p < 0.001; n = 7) and toxin-resistant currents (0.37 ± 0.03 pC/pF; p < 0.001; n = 7), but not significantly different from each other (Fig. 8d). Most striking are the recordings from Cav1.3−/− MCCs in which SK currents are clearly strongly attenuated and increase more weakly during the AP-train as compared to WT MCCs (Fig. 8b,c). SK currents in Cav1.3−/− MCCs are also slower in building up as compared to WT MCCs. We found that the total SK charge density during the last ISI of Cav1.3−/− MCCs (0.15 ± 0.03 pC/pF; n = 8) was 2.8-fold smaller than that of WT MCCs (0.42 ± 0.06 pC/pF; p < 0.001; n = 7) (Fig. 8d, black bars). Note that in Cav1.3−/− MCCs, the tiny SK outward currents remain Cav1 channel dependent, indicating partial contribution by Cav1.2 (Fig. 8b,d).
The calcium currents flowing during the interspike intervals are mainly Cav1 dependent
Given the crucial role of Cav1.3 LTCCs to allow SK currents to build up with time, we next tested for the contribution of LTCCs and non-LTCCs to the total amount of Ca2+ that enters the cell during a train of APs (Fig. 8c). Solutions used contained 135 mm TEA and 300 nm TTX in the bath and 130 mm Cs+ in the pipette (see Materials and Methods). This implicates that no physiological APs could be evoked and urged us to use representative spike trains of WT and Cav1.3−/− MCCs for these experiments. The aforementioned Ca2+ channel blockers were tested on the total Ca2+ currents, and final recordings were performed in the presence of 200 μm Cd2+ (gray traces) to uncover the remaining leakage current (Fig. 8c).
The most striking finding evident from the representative Ca2+ current traces is the apparent lack of the slowly rising Ca2+ currents in the ISIs of the Cav1.3−/− MCCs as compared to WT MCCs (Fig. 8c). The area indicated was dissected into the spike and the ISI with its respective Ca2+ currents, illustrated in the insets. Considering the total Ca2+-charge density that covers the last ISI and the last AP, we found a significant 1.7-fold (p < 0.01) reduction for Cav1.3−/− MCCs (n = 8) as compared to WTs (n = 7) (Fig. 8e). Total Ca2+-charge density was furthermore mainly LTCC dependent for both WT and Cav1.3−/− MCCs, as indicated by the strong significant block by nifedipine (80 and 62% for WTs and Cav1.3−/− MCCs, respectively; p < 0.01) and the rather mild effect of the toxin mixture (Fig. 8e). The Ca2+-charge density measured during the spike was strikingly similar between WT (n = 7) and Cav1.3−/− MCCs (n = 8), but major differences were found for the Ca2+ charge that sustains the ISI (Fig. 8f,g). The values of the latter were drastically decreased by nearly fivefold: from −0.13 ± 0.3 pC/pF (n = 7) to −0.02 ± 0.07 pC/pF; p < 0.001, n = 7). This ISI-specific Ca2+ current was furthermore completely blocked by nifedipine (91% block) in WT MCCs (Fig. 8g).
In conclusion, we observed a reduced flux of Ca2+ during the ISI, but not during the spike itself, that could be responsible for the reduction of the total Ca2+-charge density in Cav1.3−/− MCCs with respect to WT MCCs (Fig. 8e–g). LTCCs are prominent also during the AP waveform, which might explain the prevailing block of nifedipine on the SK currents during trains of APs, even for Cav1.3−/− MCCs (Fig. 8). Cav1.3 deficiency drastically reduces the size of the total Ca2+-charge that leads to smaller SK currents in Cav1.3−/− MCCs. It is not surprising that more spikes were needed for Cav1.3−/− MCCs to trigger a significant apamin-sensitive outward current that induces SFA. This gives convincing support that the reduced degree of SFA in Cav1.3−/− MCCs, which derives from the reduced SK currents, is driven by Cav1.3.
SK channels are not colocalized to a specific Ca2+ channel type
Given the strong nifedipine dependence of the SK current during spikes, we next tested whether SK channels were indeed closely coupled to Cav1 channels in MCCs. We did this by measuring the Ca2+-dependence of SK currents during controlled Ca2+ current injections in voltage-clamp mode. Specifically, we compared the block of Ca2+ currents with the corresponding block of SK tail currents by applying either 3 μm nifedipine (red traces) or a mixture of 2 μm ω-agatoxin IVA, 3.2 μm ω-conotoxin GVIA, and 400 nm SNX-482 (blue traces) to block L-type or non-L-type currents as shown previously (Fig. 9a,b). Whole-cell Ca2+ currents were evoked by a 250 ms step depolarization to 0 mV from Vh= −50 mV (Fig. 9a), with 2 mm Ca2+ and 135 mm TEA in the bath and 130 mm Cs+ in the pipette. Nifedipine blocked 54% of the total Ca2+ current with the remaining 46% being effectively blocked by the toxin mixture (p < 0.001; Fig. 9a, inset), while Cd2+ induced full block (Fig. 9a).
Figure 9.
SK channels are not coupled to any particular VGCC, but rather reside in nearby microdomains. a, To the left are shown representative Ca2+ currents evoked by the pulse protocol given on top. Control solution contained 2 mm Ca2+, 135 mm TEA, and 300 nm TTX (black trace). Red, blue, and gray traces were recorded in the presence of 3 μm nifedipine (nif), a toxin mixture (tox) (2 μm ω-Aga IVA, 3.2 μm ω-Ctx GVIA, 400 nm SNX-482), and 200 μm Cd2+, respectively. Colored bars to the right are mean peak current densities (pA/pF) derived from n = 13 cells. The inset represents the percentage contribution of LTCCs (black) and non-LTCCs (white) to the total current. b, Representative slow tail currents (left) evoked by the pulse protocol given on top. The control solution contained 2 mm Ca2+, 12 mm K+, 1 μm paxilline, and 300 nm TTX (black trace). Colored bars to the right are mean current densities (pA/pF) derived from n = 15 cells. Ca2+ channel blockers were used as described for a. The green trace and bar were obtained with 200 nm apamin. Inset shows the percentage contribution of LTCCs (black) and non-LTCCs (white) to the total slow tail current. c, The SK control current is represented by the black trace. Red and blue traces were recorded following cell loading with EGTA-AM (20 μm) and BAPTA-AM (20 μm), respectively. Bars to the right are the mean current densities of n = 7 cells. Black and white continuous lines overlapping EGTA-AM and control traces represent double exponential fits of slow tails. Inset compares slow decay time constant at control (white) with EGTA-AM (black). c, inset, Significant differences were obtained by a paired Student's t test with **p < 0.01. a–c, Significant differences were obtained by a one-way ANOVA followed by a Bonferroni post hoc analysis (*p < 0.05, **p < 0.01, and ***p < 0.001).
Next we tested the block of the slow tail currents by the same VGCC blockers (Fig. 9b). Slow tails were evoked as described previously (Fig. 1d) using a 250 ms Ca2+ loading step to 0 mV followed by a 3 s lasting return step to −95 mV, repeated every 20 s at Vh= −50 mV (Fig. 9b, top). We found that nifedipine blocked 58% of the total SK current (n = 15), while the remaining current (42%) was fully blocked by the toxin mixture (Fig. 9b, inset). Apamin (200 nm) blocked ∼88% of the total current (Fig. 9b, green trace) leaving a 5–10% residual current. Nearly a full block of the slow tail currents (93%) was obtained by 200 μm Cd2+ with a residual slow tail current ≤5% of the total (Fig. 9b). The reduction of the slow tail current by nifedipine, toxin mixture, Cd2+, and apamin were all statistically significant as compared to control (p < 0.05) (Fig. 9b). This strong correlation between Ca2+ and SK current block suggests unequivocally that there is no preferential coupling of SK channels to any specific VGCC type in MCCs. We also found that lack of Cav1.3 does not lead to a significant decrease in SK current density as compared to WT (6.7 ± 2 pA/pC; n = 18 vs −8.9 ± 1.3; p > 0.05; n = 30) (data not shown), proving that deficiency of Cav1.3 does not affect SK channel density.
To better assay for the absence of SK channel coupling to a specific Ca2+ source, slow tails were measured after loading MCCs with saturating concentrations (20 μm) of slow (EGTA-AM) and fast Ca2+ chelators (BAPTA-AM). Upon saturation, we washed with Tyrode's standard solution (Fig. 9c). Traces shown in Figure 9c represent slow tails in Tyrode's standard after equilibrium was achieved. As shown, BAPTA-AM nearly abolished the slow tail current (80% block; p < 0.01; n = 7), while EGTA-AM significantly accelerated the time course of the current decay (Fig. 9c). In the latter case, SK tail currents were fitted with a double exponential with fast and slow time constants (τfast, τslow). EGTA nearly halved τslow (from 2.1 ± 0.3 to 0.9 ± 0.1 s; p < 0.01; n = 5), leaving τfast almost unaltered (0.2 ± 0.03 s vs 0.18 ± 0.03 s; p > 0.05; Fig. 9c, inset). In two cells we also applied 1 μm BayK 8644 in addition to BAPTA-AM with no evident differences (data not shown). Given the high affinity of SK for Ca2+ (KD = 0.5 μm) and the Ca2+ profile expected for 5 mm intracellular BAPTA (1 μm Ca2+ at 20–40 nm from the Ca2+ source) and EGTA (1 μm Ca2+ at 70–100 nm), our findings suggest that SK channels do not form specific micro/nanodomains with VGCCs but are located at a distance sufficiently far from VGCC to allow EGTA to affect their Ca2+-dependent activation (see below, Functional implication on adrenal catecholamine secretion and Ca2+-dependent neuronal firing).
Discussion
We provided evidence in favor of a tonic Cav1.3-driven SK conductance that slows down the MCC basal firing rate and leads to spike frequency adaptation upon sustained current injections. Cav1.3 deficiency induces a nearly twofold reduction of the total Ca2+ charge entering the cell due to a marked depression of the pacemaker current. This functional and not physical coupling to SK channels accounts for the inability of Cav1.3−/− MCCs to adapt their firing frequency. The uncovered “Cav1.3-SK interaction” guarantees an effective recovery of NaV channels required to maintain stable AP firings upon stimulation. Cav1.3 thus acts as “drive” and “brake” on MCC's excitability that could be crucial when controlling sustained catecholamine release from the adrenal gland during stressful stimuli (García et al., 2006). This Cav1.3-mediated mechanism could also be critical to regulate the slow firing of some central neurons in which Cav1 channels help set the pacemaker current (Vandael et al., 2010).
SK channel expression and its role in firing at rest and during sustained membrane depolarization
The presence of SK currents in BCCs and RCCs had been established previously by biophysical means, but their role on MCCs pacemaker modulation remained elusive (Marty and Neher, 1985; Neely and Lingle, 1992; Park, 1994). All three KCNN α-subunits were found to be expressed in MCCs, giving rise to a bisigmoidal dose–response curve of apamin on slow tail currents. Different SK channel isoforms are characterized by distinct apamin sensitivities, with SK2 being most sensitive (IC50 = 60–70 pm), SK3 showing an intermediate sensitivity (IC50 = 0.63–6 nm), and rat/mouse SK1 being rather insensitive (Ishii et al., 1997; Grunnet et al., 2001; Benton et al., 2003; D'hoedt et al., 2004; Weatherall et al., 2011). Heterologous expression studies (Ishii et al., 1997) have shown that SK channels might be heteromeric in nature, giving rise to channels with intermediate apamin sensitivities. The incomplete block by apamin together with the complex dose–response curve suggests that SK channels in MCCs might be heteromeric in origin. This assumption, however, requires further studies and raises the obvious question of why MCCs need such diverse SK channels with identical Ca2+ sensitivity.
A strong negative correlation was found to exist between basal firing frequency and the percentage of frequency increase induced by apamin, which is strong evidence that firing of resting MCCs is tightly controlled by tonically active SK channels. Similarly, neurons from the lateral dorsal striatum that exhibit large SK currents respond with lower firing frequencies to current injections and show more pronounced responses to apamin as compared to neurons with fewer SK currents from the nucleus accumbens shell (Hopf et al., 2010). High basal firing frequencies (mild apamin effects) were furthermore correlated with low coefficients of variation in MCCs, indicating more regularity of the firing frequency with fewer SK channels and more irregularity with higher densities of SK channels. This is in contrast with findings on some central neurons where robust SK currents increase the regularity and precision of firing (Wolfart et al., 2001; Hallworth et al., 2003; Atherton and Bevan, 2005; Deister et al., 2009). The increased precision of firing, as seen by others, is due to an enhanced NaV channel availability induced by SK channels that is required for pacemaking these cells. MCCs are not dependent on NaV channels for their pacemaking (Mahapatra et al., 2011), but on LTCCs with low degree of inactivation (Cav1.3). This might explain the discrepancies with the aforementioned neuronal models.
Upon sustained current injections, SK channels in various neurons lead to SFA (Madison and Nicoll, 1984; Benda and Herz, 2003; Chen and Toney, 2009; Peron and Gabbiani, 2009; Lin et al., 2010; Vandecasteele et al., 2011). This holds as well for MCCs where SK channels slow down the steady-state firing frequency. SK currents were shown to build-up during the ISIs, as occurs during bursts of APs in Purkinje neurons (Swensen and Bean, 2003). The fact that SK currents were surprisingly low during the AP peak might be related to the SK channel's inwardly rectifying properties (Soh and Park, 2001; Li and Aldrich, 2011). SK inward rectification likely avoids having this “voltage-insensitive” current shortcut the AP upstroke and interfere with spike generation. SK channels are thus mainly conducting subthreshold currents that show striking overlapping patterns with Cav1.3-dependent pacemaker currents of MCCs. The gradual increase of SK conductance will lower the cell's input resistance and gradually decrease the gain during steady-state firing frequencies due to the interference with the Cav1.3 specific depolarization throughout the ISI (Fig. 8c).
SK current accumulation responsible for SFA is driven by Cav1.3 in MCCs
Cav1.3 channels are known to be pacemaker channels in MCCs and to be tightly coupled to BK channels (Marcantoni et al., 2010). Their loss typically results in membrane depolarizations that lead to abnormally high-firing frequencies in the population of cells (20%) that maintained their spontaneous firing pattern. Loss of BK channels, however, leads to slower firing patterns in MCCs, in agreement with data on Purkinje neurons (Sausbier et al., 2004; Vandael et al., 2010). Interestingly, BK block during sustained current injections caused significant increases in the duration of the first interspike interval and fastened the onset of SFA (D. H. F. Vandael and E. Carbone, unpublished data). It is thus unlikely that loss of coupling to BK channels alone could account for the observed elevated firing frequencies of Cav1.3−/− MCCs. Here, we have unambiguously shown that ISI-specific SK current accumulation during a train of spikes is strongly attenuated in Cav1.3−/−MCCs.
Although blocking of LTCCs by nifedipine resulted in the complete block of SK-driven outward currents during the ISI, we did not reveal any molecular coupling between both channels (LTCCs vs SK). Our data indicate that physiological protocols using APs can lead to distinct outcomes as when square pulses are used as voltage commands. While non-LTCCs contribute to half of the total Ca2+ charge flowing in the cell during controlled voltage steps, we found that they only contribute to 20% of the total Ca2+ charge during a train of APs. High Ca2+ sensitivity and voltage independency of SK channels probably circumvent the requirement of a nanodomain organization between SK channels and their Ca2+ source (Fakler and Adelman, 2008). In agreement with this, we found that BAPTA fully blocks the SK tail currents while EGTA accelerates their decay. Assuming space constants (λ) of 20–40 nm for BAPTA and 70–100 nm for EGTA (Prakriya and Lingle, 2000), we estimated that SK channels cannot be closer than 40 nm and not farther than 200 nm from VGCCs.
Cav1.3-driven SK channels increase NaV channel availability and delay the onset of depolarization block
Cav1.3 deficiency, just like SK block, leads to fast firing patterns characterized by a gradual decrease of peak amplitude, dV/dtmax, and a notable increase of Vthresh. Na+ currents in chromaffin cells are mainly conducted by Nav1.7 channels characterized by a relatively slow recovery from fast inactivation (Wada et al., 2008). MCCs are furthermore characterized by broad spikes where Na+ current inactivation is ought to be rather complete at the end of the AP (Carter and Bean, 2009; Gittis et al., 2010). This underlines the importance of prolonging the duration and increasing the depth of the ISI to guarantee the optimal Na+ channel recovery required to sustain AP upstrokes and stable AP shapes in MCCs. A role of SK channels in the recovery of NaV channels from inactivation has been observed as well for GABAergic SNr neurons and globus pallidus neurons (Atherton and Bevan, 2005; Deister et al., 2009). Lower NaV channel availability due to reduced SFA associated with Cav1.3 loss or apamin application resulted in earlier transitions into a depolarization block. This could explain why Cav1.3−/− MCCs typically responded with a train of high-frequency spikes followed by sustained depolarizations after LTCCs (Cav1.2) were boosted with BayK 8644 (Marcantoni et al., 2010; Vandael et al., 2010). These results agree with recent observations on RCCs that respond with similar depolarization blocks upon increased current injections when SK channels were blocked and fast inactivating BK channels were absent (as is the case for Cav1.3−/− MCCs) (Sun et al., 2009).
Functional implication on adrenal catecholamine secretion and Ca2+-dependent neuronal firing
Our data indicate that Cav1.3/SK interactions in MCCs are critical in coping with strong input stimuli as are likely to occur during intense splanchnic nerve discharges. SK channels act as a “brake” to prevent overexcitation that could be critical in cells that fire slowly (∼1 Hz) and rely on “Ca2+-dependent pacemakers” such as chromaffin cells and dopaminergic and histaminergic neurons (Chan et al., 2007, 2010). The phasic response to sustained depolarization described here has clear-cut implications on the overall organization of catecholamine release in the adrenal medulla. The first is that increasing the frequency of stimulation does not necessarily lead to a linear increase of catecholamine secretion. Indeed, the catecholamine release induced by trains of electrical stimulations (0.1–30 Hz) reaches peak values between 3 and 10 Hz and then declines in rat and cat chromaffin cells (Wakade, 1981; Alamo et al., 1991; Montiel et al., 1995). The second implication is that, similar to certain neuronal assemblies (Ladenbauer et al., 2012), the phasic response related to adaptation currents (e.g., SK) described here may help firing synchronization in the adrenal medulla where chromaffin cells are electrically coupled (Colomer et al., 2012). Synchronization followed by adaptation to low-firing frequencies in extended areas of the adrenal medulla may optimize the release of catecholamines during intense prolonged stressful stimulation, preventing excessive accumulation of undesired levels of circulating catecholamines.
Footnotes
This work was supported by the Marie Curie Research Training Network “CavNET” (contract no. MRTN-CT-2006-035367), the Regione Piemonte POR/FERS Program Grant 186-111C, Unito-San Paolo Company Research Grant 2011-2013, and the Austrian Science Fund (P20670). We thank Dr. C. Franchino (University of Torino, Torino, Italy) for preparing the cell cultures and Prof. V. Carabelli and Dr. A. Marcantoni (University of Torino, Torino, Italy) for helpful discussions. We also thank Prof. J. Engel (Saarland University, Homburg/Saar, Germany) for supplying Cav1.3−/− breeding pairs.
The authors declare no competing financial interests.
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