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J. Biol. Chem., Vol. 281, Issue 8, 4691-4698, February 24, 2006
Endogenous and Exogenous Ca2+ Buffers Differentially Modulate Ca2+-dependent Inactivation of CaV2.1 Ca2+ Channels*From the Department of Pharmacology and Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, Georgia 30322
Received for publication, November 7, 2005 , and in revised form, December 21, 2005.
Voltage-gated Ca2+ channels undergo a negative feedback regulation by Ca2+ ions, Ca2+-dependent inactivation, which is important for restricting Ca2+ signals in nerve and muscle. Although the molecular details underlying Ca2+-dependent inactivation have been characterized, little is known about how this process might be modulated in excitable cells. Based on previous findings that Ca2+-dependent inactivation of Cav2.1 (P/Q-type) Ca2+ channels is suppressed by strong cytoplasmic Ca2+ buffering, we investigated how factors that regulate cellular Ca2+ levels affect inactivation of Cav2.1 Ca2+ currents in transfected 293T cells. We found that inactivation of Cav2.1 Ca2+ currents increased exponentially with current amplitude with low intracellular concentrations of the slow buffer EGTA (0.5 mM), but not with high concentrations of the fast Ca2+ buffer BAPTA (10 mM). However, when the concentration of BAPTA was reduced to 0.5 mM, inactivation of Ca2+ currents was significantly greater than with an equivalent concentration of EGTA, indicating the importance of buffer kinetics in modulating Ca2+-dependent inactivation of Cav2.1. Cotransfection of Cav2.1 with the EF-hand Ca2+-binding proteins, parvalbumin and calbindin, significantly altered the relationship between Ca2+ current amplitude and inactivation in ways that were unexpected from behavior as passive Ca2+ buffers. We conclude that Ca2+-dependent inactivation of Cav2.1 depends on a subplasmalemmal Ca2+ microdomain that is affected by the amplitude of the Ca2+ current and differentially modulated by distinct Ca2+ buffers.
Cav2.1 (P/Q-type) voltage-gated Ca2+ channels mediate Ca2+ signals that regulate neuronal excitability, synapse formation, and neurotransmitter release (15). Fidelity of Ca2+ signaling by Cav2.1 requires fine control of voltage-gated Ca2+ entry, in part by the Ca2+ ions that permeate the channel. Self-regulation of Cav2.1 channels by Ca2+ is manifest as an initial increase (facilitation) and gradual decrease (inactivation) in Ca2+ current amplitude during high frequency stimuli (68). Ca2+-dependent facilitation (CDF)2 and inactivation (CDI) of Cav2.1 channels depend on calmodulin binding to the pore-forming 1-subunit of Cav2.1 (7, 9) and can cause activity-dependent changes in synaptic efficacy (6, 10, 11).
A fundamental distinction between CDF and CDI is their sensitivity to cytoplasmic Ca2+ buffering. The blockade of CDI, but not CDF, by high concentrations of the Ca2+ chelators EGTA and BAPTA (8, 12) suggests that the extent to which Cav2.1 channels undergo CDI may largely be influenced by factors that regulate intracellular Ca2+ concentrations. Such factors include parvalbumin (PV) and calbindin (CB), which are EF-hand Ca2+-binding proteins that alter the amplitude and time course of Ca2+ signals in some nerve and muscle cells (1317). Unlike calmodulin, which directly interacts with and confers Ca2+-dependent regulation to numerous effectors (18), PV and CB were generally thought to act as passive Ca2+ buffers, which help protect cells from Ca2+ overloads. However, by modifying the spatial and temporal aspects of intracellular Ca2+ elevations, PV and CB can influence Ca2+ signals that modulate the activity of inositol 1,4,5-trisphosphate receptors (19, 20). Similarly, PV and CB might physiologically regulate Ca2+-dependent modulation of Cav2.1, as PV and CB are concentrated in subsets of neurons, such as cerebellar Purkinje neurons, where Cav2.1 channels are also highly expressed (2124). Previous studies implicate a role for PV and CB in modulating CDI of L-type voltage-gated Ca2+ channels in neurons (25, 26), although whether these proteins also affect Cav2.1 (P/Q-type) channels is not known. In this study, we compared the effects of Ca2+ buffers (EGTA and BAPTA) and Ca2+-buffering proteins (PV and CB) on CDI of Cav2.1 in transfected 293T cells. Our analyses indicate that inactivation of Cav2.1 Ca2+ currents varies significantly with current amplitude and is more sensitive to Ca2+ buffering by EGTA than BAPTA. PV and CB do not simply replicate the effects of EGTA and BAPTA, but differentially altered the current dependence of CDI. These findings reveal the importance of cellular Ca2+-buffering mechanisms in the negative feedback regulation of Cav2.1 channels by Ca2+, which may further diversify the properties of these channels in different neuronal cell types (27).
cDNA Expression ConstructsCav2.1 subunits used in electrophysiological experiments were 12.1 (rbA isoform), 2a, and 2 (2830). cDNAs corresponding to rat parvalbumin and calbindin were isolated by PCR amplification with specific primers from a rat brain cDNA library. Parvalbumin was subcloned into the HindIII/BamHI sites of pcDNA3.1+, and calbindin was subcloned into the BamHI/XhoI sites of pcDNA3.1-topo. The PVCDEF mutant containing amino acid substitutions D51A, E62V, D90A, and E101V was based on that described by Pauls et al. (31) and generated by multiple rounds of QuikChange mutagenesis and subcloning into pcDNA3.1+. The identity of all cDNA constructs was confirmed by sequencing prior to use in electrophysiological experiments. Cell Culture and Transfection293T cells were maintained in Dulbecco's modified Eagle's medium supplemented with 10% fetal bovine serum at 37 °C under 5% CO2. Cells plated in 35-mm tissue culture dishes were grown to 6580% confluency and transfected with Gene-PORTER transfection reagent (Gene Therapy Systems Inc., San Diego, CA) according to the manufacturer's protocol with a 1:1 molar ratio of cDNAs for Ca2+ channel subunits (total of 5 µg) and 0.7 µg of a CD8 expression plasmid for identification of transfected cells. Parvalbumin and calbindin cDNAs were transfected at a 1:1 molar ratio with Ca2+ channel subunits. Western Blots293T cells, plated and transfected as for electrophysiological experiments, were homogenized in ice-cold lysis buffer (25 mM Tris, pH. 7.4), 137 mM NaCl, 2.7 mM KCl, 0.1% phenylmethylsulfonyl fluoride, and 1% Triton X-100) and stored at 20 °C until use. Cell lysates (50 µg) were electrophoresed on denaturing 420% Tris-glycine gels (Invitrogen) and transferred to a nitrocellulose membrane that was blocked in 3% milk/TBS and incubated with antibodies against PV (1:1000, Chemicon International, Temecala, CA), or CB (1:1000, Chemicon International). Chemiluminescent detection was achieved with horseradish peroxidase-conjugated secondary antibodies (1:2000, Amersham Biosciences) and ECL reagents (Amersham Biosciences). Electrophysiological RecordingsAt least 48 h after transfection, 293T cells were incubated with CD8 antibody-coated microspheres (Dynal, Oslo, Norway) for identification of transfected cells. Ca2+ or Ba2+ currents were recorded in whole cell patch clamp recordings with a HEKA EPC-9 patch-clamp amplifier driven by PULSE software (HEKA Electronics, Lambrecht/Pfalz, Germany). Leak and capacitive transients were subtracted using a P/-4 protocol. Extracellular recording solutions contained (in mM): 150 Tris, 1 MgCl2, and 10 CaCl2 or 10 BaCl2. Intracellular recording solutions contained (in mM): 130 N-methyl-D-glucamine, 60 HEPES, 1 MgCl2, 2 Mg-ATP, and EGTA (0.5 mM) or BAPTA (0.5 mM or 10 mM). The pH of extracellular and intracellular recording solutions was adjusted to 7.3 with methanesulfonic acid. Because of shifts in the activation curve of 10 and +10 mV when extracellular Ba2+ or intracellular BAPTA were used, respectively, voltage protocols were adjusted to compensate for this difference as noted. Data AnalysisAll data were analyzed using custom written procedures in IGOR Pro software (Wavemetrics, Portland, OR). Averaged data represent the mean ± S.E. Statistical differences in averaged inactivation (Ires/Ipk) between groups was determined by Student's t test. I-V curves were fit with the function: g(V E)/{1 + exp[(V V1/2)/k] + b} where g is the maximum conductance, V is the test potential, E is the apparent reversal potential, V1/2 is the potential of half-activation, k is the slope factor, and b is the baseline. Linear and nonlinear regression and statistical analyses were done with Sigma Plot (SPSS, Inc., Chicago, IL). Significant deviations of percent inactivation data from regression models were determined by Runs test. Data describing current dependence of ICa inactivation were fit with a nonlinear regression equation, y = axb where y is % inactivation, x is the current amplitude, and a and b are constants. F-tests were used for comparisons of nonlinear regression curves, with statistical significance considered as p < 0.05.
Current Dependence of CDI and Sensitivity to EGTACa2+ microdomains near the pore of individual Ca2+ channels may reach micromolar concentrations, but are too short-lived to be significantly buffered by high concentrations of slow Ca2+ buffers such as EGTA or low concentrations of fast Ca2+ buffers such as BAPTA (32). For this reason, the blockade of CDI of Cav2.1 by high intracellular concentrations of EGTA and BAPTA (10 mM) implies a requirement for a "global" Ca2+ signal that is supported by multiple open channels (8, 9, 12). A simple prediction of this model is that CDI should increase to some extent with the amplitude of the whole cell Ca2+ current (ICa). In support of this prediction, human splice variants of 12.1 with poor expression levels in transfected cells, as reflected by low amplitude ICa, exhibited less CDI than channel variants with higher mean current amplitudes (12).
In the present study, we also observed a similar relationship between current amplitude and CDI for channels containing the rat brain (rbA)
To evaluate the modulatory potential of Ca2+ buffers on CDI, we compared the effects of BAPTA and EGTA at concentrations (0.5 mM) that are permissive for CDI. Whereas EGTA and BAPTA bind Ca2+ with nearly equal affinity, Ca2+ on- and off-rates for BAPTA are at least 100 times faster than for EGTA (40). Although BAPTA binds Ca2+ faster than EGTA, it will also retain it for shorter periods of time, such that CDI may be more evident with BAPTA than with EGTA. Consistent with this prediction, Ires/Ipk was significantly smaller with BAPTA (0.5 mM) than with the same concentration of EGTA (
Effects of PV on CDI of Cav2.1To determine if Ca2+-buffering proteins might similarly regulate inactivation of Cav2.1 Ca2+ currents, we investigated the effect of coexpressing Cav2.1 with parvalbumin (PV, Fig. 3). We chose PV since its Ca2+ binding properties and effects on Ca2+ signals are well characterized (21). The EF-hands of PV can bind Ca2+ with high affinity and Mg2+ with lower affinity (31, 41). Under resting conditions, the concentration of Mg2+ in cells is generally far greater than that for Ca2+ (42), so that the rate of Ca2+ binding is slow because of a requirement for Mg2+ to first unbind (43). As a consequence, PV is considered a slow Ca2+ buffer in cells, with similar Ca2+ binding kinetics as EGTA (21).
Based on our results with EGTA and BAPTA, we expected that PV, like EGTA, should decrease ICa inactivation. Whereas this was true for ICa<0.4 nA (
The Ca2+-buffering properties of PV could account for the suppression of inactivation of small currents, but we wondered if the opposite effect of PV on large currents could have resulted from Ca2+ unbinding from PV. Large ICa through Cav2.1 channels could rapidly saturate the EF-hand Ca2+ binding sites on PV, and subsequent Ca2+ release from PV might then facilitate CDI. At the concentration of free intracellular Mg2+ in our experiments ( 1 mM), estimated rates of Ca2+ unbinding from PV ( 0.9/s, Ref. 44) are consistent with the potential for Ca2+ release from PV to occur within the 2-s depolarizing pulse in our experiments (Fig. 3A). In this context, both the inhibitory and stimulatory effects of PV on ICa inactivation should depend critically on the ability of PV to bind Ca2+. To test this, we generated a PV construct with mutations in the second and third EF-hands (PVCDEF). Because these alterations prevent binding of Ca2+ and Mg2+ (31, 45), PVCDEF should not replicate Ca2+-dependent effects of PV on Cav2.1 inactivation. In these experiments, Ires/Ipk for ICa was not affected by PVCDEF for either small or large amplitude ICa (p = 0.52 and 0.71, respectively), and the relationship between ICa inactivation and current amplitude was not significantly different from that for Cav2.1 channels expressed alone (p = 0.62, Fig. 5A). These results were not caused by limited expression levels of PVCDEF, because Western blots indicated similar amounts of PV and PVCDEF in lysates harvested from the cotransfected cells (not shown). The dual effects of wild-type PV on ICa inactivation were also not observed when CDI was blocked by a high intracellular concentration (10 mM) of BAPTA (p = 0.17 for ICa<0.4 nA, p = 0.45 for ICa>0.4 nA; Fig. 5B). Moreover, there was no effect of PV on the dependence of ICa inactivation on current amplitude in the presence of 10 mM BAPTA (Fig. 5B). These results argued against the possibility that PV influenced Ca2+-independent (i.e. voltage-dependent) mechanisms of Cav2.1 inactivation, because such actions would have been spared by BAPTA. We conclude that the opposing effects of PV on inactivation of large and small ICa are a consequence of Ca2+ binding to PV, which can either stabilize or diffuse Ca2+ pools that underlie CDI, depending on the amplitude of ICa.
Effects of CB on CDIWe investigated further the role of Ca2+ buffer kinetics and CDI in cells cotransfected with calbindin-D28k (CB), a protein with physiological Ca2+ binding rates that are faster, by an order of magnitude, than those for PV (25). CB also differs from PV in possessing four functional EF-hands, which have relatively low affinity for Ca2+ compared with those in PV, and do not significantly bind Mg2+ (25). In analyses of ICa evoked by step depolarizations, CB significantly inhibited inactivation of ICa < 0.4 nA ( 35% increase in Ires/Ipk compared with Cav2.1 alone, p < 0.02, Fig. 6A) and caused an even greater slowing of inactivation rate than PV ( 52% for CB and 36% for PV, Table 1). For unknown reasons, Cav2.1 Ca2+ currents in cells cotransfected with CB that exceeded 0.8 nA were not stable for electrophysiological recordings. Because CB has been shown to directly interact with and potentially regulate cellular proteins in a Ca2+-dependent manner (46, 47), it is possible that CB had a deleterious effect in cells expressing particularly large numbers of Cav2.1 channels. Therefore, analysis of ICa> 0.4 nA in cells transfected with Cav2.1 alone or cotransfected with CB was restricted to currents with amplitude from 0.4 to 0.8 nA. In this current range, CB did not significantly influence the magnitude or rate of inactivation (p = 0.39, Fig. 6A and Table 1). The suppression of inactivation of low amplitude currents caused a significant downward shift in the relationship between inactivation and ICa amplitude in cells cotransfected with CB compared with that in cells transfected with Cav2.1 alone (p < 0.02, Fig. 6B). The absence of ICa>0.8 nA in cells cotransfected with Cav2.1 and CB precluded determination if, like PV, CB had a stimulatory effect on inactivation of large amplitude currents, as these effects were generally observed in cells cotransfected with PV for ICa>0.8 nA (Fig. 3B). However, the inhibitory effects of both PV and CB on inactivation of small amplitude Cav2.1 Ca2+ currents is consistent with a modulatory role for these Ca2+-buffering proteins in the negative feedback of Cav2.1 by Ca2+.
Besides increasing the Ca2+-buffering capacity of the cell, PV and CB in the transfected 293T cells may have had secondary effects that might influence Cav2.1 properties in our experiments. For example, overexpression of PV and CB could have reduced the levels of endogenous calmodulin required for CDI, which could also explain the inhibition of ICa inactivation in cells cotransfected with Cav2.1 and PV or CB (Figs. 3 and 6). However, Western blots indicated equivalent levels of calmodulin in cells transfected with Cav2.1 alone and in cells cotransfected with PV or CB (not shown). In addition, cotransfection of Cav2.1 with PV and CB did not alter the magnitude of Ca2+-dependent facilitation of ICa, which also depends on calmodulin (Fig. 7, AC). The enhancement of ICa amplitude during the first 200 ms of a repetitive stimulus protocol was not significantly different in cells transfected with Cav2.1 alone and those cotransfected with PV (p = 0.30) or CB (p = 0.54). The ineffectiveness of PV and CB in these experiments can be explained by a reliance of facilitation on local Ca2+ increases that are not able to be suppressed by even high concentrations of EGTA and BAPTA (8, 12, 48). These results also show that calmodulin was not likely to be a limiting factor contributing to the reduced CDI in cells expressing Cav2.1 with PV or CB. Taken together, our findings indicate that PV and CB modulate Cav2.1 Ca2+ currents by regulating global Ca2+ microdomains that support CDI.
In the present study, the use of endogenous and exogenous Ca2+ buffers revealed new insights into the feedback regulation of Cav2.1 channels by Ca2+. First, we confirmed and extended previous findings (12) that Cav2.1 inactivation increases nonlinearly with the amplitude of ICa, an effect not observed when intracellular Ca2+ is buffered with BAPTA (10 mM) or when Ba2+ is the charge carrier. Second, BAPTA, at submaximal concentrations, strengthens the relationship between current amplitude and CDI compared with EGTA, perhaps because of its faster Ca2+ unbinding kinetics. Third, the Ca2+-buffering proteins PV and CB also alter the Ca2+ current dependence of Cav2.1 inactivation. These findings illustrate how factors affecting Cav2.1 expression and Ca2+ homeostasis may dynamically regulate Cav2.1 properties and Ca2+ signaling in excitable cells.
Differential Modulation of Cav2.1 Inactivation by Ca2+ Buffers Based on our results and those published previously, we propose a qualitative model to account for the Ca2+ dependence of Cav2.1 inactivation (Fig. 8). Unlike the relative invariance of the local Ca2+ microdomain associated with individual channel openings, Ca2+ pools that support CDI may be enhanced by larger ICa because of increased overlap of global Ca2+ signals emanating from neighboring channels (Fig. 8A). Small ICa may inactivate less than large ICa because, when not supported by multiple channels, these Ca2+ pools dissipate rapidly due to diffusion of Ca2+ (Figs. 1 and 8A). These Ca2+ gradients surrounding individual channels are collapsed by high concentrations of BAPTA (Fig. 1) or EGTA (8), thus abolishing the dependence of CDI on current amplitude (Figs. 1C and 8A). However, at concentrations of Ca2+ buffers that are permissive for CDI, Ca2+ unbinding from the buffer may paradoxically stabilize the Ca2+ pool supporting CDI (Fig. 8, B and C). Considering first the increased CDI seen with BAPTA compared with EGTA (0.5 mM, Fig. 2), the 100-fold faster association and dissociation rate of Ca2+ from BAPTA allows it to capture but also unload Ca2+ more rapidly than EGTA (40). Therefore, the time that Ca2+ will remain bound before dissociating is considerably less for BAPTA ( 660 ms), than for EGTA ( 700 2000 ms) (49), such that more rapid Ca2+ unbinding from BAPTA (0.5 mM) may cause greater CDI of both small and large ICa compared with the same concentration of EGTA (Figs. 2 and 8B).
The dual effects of PV on Cav2.1 inactivation may result not only from its slow Ca2+ binding properties but also more limited mobility of PV relative to EGTA and BAPTA. Because of its larger size, PV has a diffusional range ( 43 µm2 s1) that is about five times less than that for EGTA ( 200 µm2 s1) (44). When Cav2.1 channels are sparsely distributed in the plasma membrane (small ICa), PV may have a net Ca2+ buffering effect in reducing CDI (Fig. 3), as PV may bind and shuttle Ca2+ away from channels prior to releasing it (17). However, with increased channel density (large ICa), Ca2+-saturated PV may unload Ca2+ within microdomains that support CDI of neighboring channels (Fig. 8C), therefore increasing inactivation of large amplitude ICa compared with in cells transfected with Cav2.1 alone (Figs. 3 and 4). Although CB has fast Ca2+ binding kinetics more comparable to BAPTA than EGTA, CB also has considerably lower Ca2+ binding affinity ( 1.5 µM) and diffusional range ( 20 µm2 s1) than BAPTA (46, 50). Together, these factors may explain why CB behaved more like a slow Ca2+ buffer in inhibiting CDI only for low amplitude currents (Fig. 6).
For the following reasons, we consider the relatively modest effects of PV and CB on CDI in our experiments to underestimate the potential for these Ca2+-buffering proteins to influence Cav2.1 channels in neurons. First, the impact of PV was likely attenuated by the concentration of free Mg2+ in our intracellular recording solution ( Ca2+-buffering Proteins as Regulators of Ca2+ SignalingThe effects of PV in altering feedback regulation of Cav2.1 channels parallels its modulation of inositol 1,4,5-trisphosphate receptors (IP3Rs), which mediate Ca2+ release from intracellular stores (19, 20, 49). Overexpression of PV in Xenopus oocytes was found to stimulate Ca2+-dependent activation of IP3Rs by facilitating Ca2+ diffusion between neighboring channels (19). That BAPTA, but not CB, replicated the effect of PV in this system was interpreted as a sign that the Ca2+ binding affinity and diffusional range of a Ca2+-buffering protein were important determinants of the ability to enhance IP3R activation by Ca2+ (19). The similar effects of PV in stimulating Ca2+ feedback of Cav2.1 channels and IP3Rs may exemplify fundamental mechanisms controlling Ca2+-dependent activation of other signaling pathways. In addition, the dual potential for PV to act as a passive Ca2+ buffer and a facilitator of intracellular and plasma membrane Ca2+ channels may contribute to the paradox that PV can be neuroprotective from pathological Ca2+ overloads in some neurons (58), but can also exacerbate excitotoxic cell death in others (59, 60). Our findings also provide direct support for previous observations that Ca2+-buffering proteins inhibit CDI of voltage-gated Ca2+ channels in neurons. Infusion of PV and CB in thalamic relay neurons caused an inhibition of CDI of high voltage activated Ca2+ current, although this effect was primarily on L-type channels (26). In addition, loss of CB from surviving granule cells isolated from the hippocampus of patients with mesial temporal lobe epilepsy correlated with increased CDI of voltage-gated Ca2+ currents, which was restored by inclusion of CB in the recording electrode (25). Interestingly, Chaudhuri et al. (24) found that Cav2.1 channels in cerebellar Purkinje neurons show highly variable CDI, which may result partly from cellular variations in Cav2.1 subunits expressed. Our results suggest that developmental or pathological alterations in PV and CB, as well as in the levels of Cav2.1 expression, could add to the heterogeneity of Cav2.1 inactivation in these and other neurons. Such variations in Cav2.1 properties may be important for tailoring Ca2+ influx according to particular physiological contexts.
* This work was supported by Grant NS044922 from the National Institutes of Health (to A. L.), the Whitehall Foundation, and a Predoctoral NRSA Grant F31NS049757 (to L. K.). The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. 1 To whom correspondence should be addressed: Dept. of Pharmacology, Emory University School of Medicine, 5123 Rollins Research Bldg., 1510 Clifton Rd., Atlanta, GA 30322. Tel.: 404-727-5991; Fax: 404-727-0365; E-mail: alee{at}pharm.emory.edu.
2 The abbreviations used are: CDF, Ca2+-dependent facilitation; CDI, Ca2+-dependent inactivation; PV, parvalbumin; CB, calbindin; BAPTA, 1,2-bis(o-aminophenoxy)ethane-N,N,N',N'-tetraacetic acid; IP, inositol phosphate.
We thank Hong Sun for technical assistance, Dr. Frank Gordon for advice on statistical analysis, and Dr. Beat Schwaller for comments on the manuscript.
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