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. 2019 Oct 1;29(1):22–33.e5. doi: 10.1016/j.celrep.2019.08.079

Disruption of the Key Ca2+ Binding Site in the Selectivity Filter of Neuronal Voltage-Gated Calcium Channels Inhibits Channel Trafficking

James O Meyer 1,2, Shehrazade Dahimene 1,2, Karen M Page 1,2, Laurent Ferron 1, Ivan Kadurin 1, Joseph IJ Ellaway 1, Pengxiang Zhao 1, Tarun Patel 1, Simon W Rothwell 1, Peipeng Lin 1, Wendy S Pratt 1, Annette C Dolphin 1,3,
PMCID: PMC6899504  PMID: 31577951

Summary

Voltage-gated calcium channels are exquisitely Ca2+ selective, conferred primarily by four conserved pore-loop glutamate residues contributing to the selectivity filter. There has been little previous work directly measuring whether the trafficking of calcium channels requires their ability to bind Ca2+ in the selectivity filter or to conduct Ca2+. Here, we examine trafficking of neuronal CaV2.1 and 2.2 channels with mutations in their selectivity filter and find reduced trafficking to the cell surface in cell lines. Furthermore, in hippocampal neurons, there is reduced trafficking to the somatic plasma membrane, into neurites, and to presynaptic terminals. However, the CaV2.2 selectivity filter mutants are still influenced by auxiliary α2δ subunits and, albeit to a reduced extent, by β subunits, indicating the channels are not grossly misfolded. Our results indicate that Ca2+ binding in the pore of CaV2 channels may promote their correct trafficking, in combination with auxiliary subunits. Furthermore, physiological studies utilizing selectivity filter mutant CaV channels should be interpreted with caution.

Keywords: N-type, P/Q-type, calcium channel, selectivity filter, α2δ subunit, β subunit, divalent cation, permeation, trafficking, calcium currents

Graphical Abstract

graphic file with name fx1.jpg

Highlights

  • Selectivity filter mutations in CaV2 channels block inward Ba2+ currents

  • Surprisingly, these mutations severely reduce trafficking of the CaV2 channels

  • Pore mutant N-type channels show reduced expression in presynaptic terminals

  • Pore mutant channels still require β and α2δ and thus are not grossly misfolded


Meyer et al. examine whether selectivity filtering mutations in CaV2 channels, preventing inward Ba2+ currents, would reduce trafficking. Pore-mutant channels show strongly reduced cell-surface expression in cell lines and neurons, but still require β and α2δ subunits and thus are not grossly misfolded.

Introduction

Voltage-gated calcium channels (CaV) are exquisitely Ca2+ selective (Hess and Tsien, 1984), and the molecular basis for this key attribute was probed as soon as the first L-type channels were cloned. The α1 subunits form the core of the channels and determine their main biophysical and pharmacological properties (Catterall, 2011, Zamponi et al., 2015). The pore was identified by homology to other voltage-gated channels as being formed from transmembrane segments 5 and 6 and the pore-lining loop between them in each of the four homologous domains (Tanabe et al., 1987). Initial seminal studies with CaV1.2 identified the fundamental role of four conserved selectivity filter glutamates (E) for divalent cation binding in the channel pore and for permeation (Ellinor et al., 1995, Yang et al., 1993). Key evidence for their involvement in the Ca2+ binding sites within the pore came from the finding that they are essential to divalent cation-mediated block of channel permeation by monovalent cations. Indeed, these studies supported the idea of a single high (μM)-affinity binding site that is also occupied by blocking cations such as Cd2+ (Yang et al., 1993).

Elucidation of the nature of the channel pore selectivity filter came from the crystal structure of a bacterial channel formed by mutating the tetrameric sodium channel, NavAb, so that the pore became Ca2+ selective, producing CavAb (Tang et al., 2014). This revealed three sequential Ca2+ binding sites in the pore, the middle one having the highest affinity for Ca2+, dependent on four carboxyl side chains from the acidic pore-lining residues. This site is also occupied by blocking cations and is equivalent to the high-affinity site identified in mammalian CaV channels (Yang et al., 1993), whose orientation is confirmed in the cryoelectron microscopy (cryo-EM) structure of CaV1.1 (Wu et al., 2016).

For mammalian CaV channels containing mutations in their selectivity filter E residues, there has been little previous work directly measuring whether their trafficking to the plasma membrane or into neuronal processes is compromised by their inability to bind or conduct Ca2+. In the early studies on CaV1.2, the presence of an outward current was taken as an indicator that the selectivity filter mutant channels reached the plasma membrane (Ellinor et al., 1995, Yang et al., 1993). Following this work, similar selectivity filter mutant channels have since been utilized in several functional studies to examine the pre- and post-synaptic consequences of expressing divalent cation-impermeant calcium channels. In these studies, the expectation was that such channels would act as dominant negatives by occupying specific limiting sites in the plasma membrane (Cao et al., 2004, Cao and Tsien, 2010, Krey et al., 2013).

In the present study, we tested the ability of CaV2 selectivity filter mutant channels to reach the plasma membrane in both cell lines and hippocampal neurons and to extend into the processes and presynaptic terminals of these neurons. We correlated the function of these channels to their trafficking, utilizing exofacially tagged CaV2 channels that report cell-surface expression (Cassidy et al., 2014). Our aims were (1) to determine whether the selectivity filter mutant channels had intrinsic trafficking defects and (2) to determine whether these related to their ability to interact with the calcium channel auxiliary α2δ and β subunits. These auxiliary subunits are essential for correct CaV1 and CaV2 channel function and trafficking in both neurons and cell lines (Cassidy et al., 2014, Gurnett et al., 1996, Kadurin et al., 2016, Waithe et al., 2011); therefore, if they had an effect on the selectivity filter mutant channels, this would indicate that the channels were correctly folded. The β subunits increase CaV currents by binding to the α-interaction domain (AID) on the intracellular I-II linker (Pragnell et al., 1994) and promoting its α-helix formation (Van Petegem et al., 2004). In contrast, the mechanism is less clear whereby the α2δ subunits increase trafficking of the channel complex (Cantí et al., 2005, Cassidy et al., 2014) and promote voltage-dependent activation (Kadurin et al., 2016, Savalli et al., 2016). The recent structure of the skeletal muscle CaV1.1 complex (Wu et al., 2016) elucidates a complex interaction among several extracellular loops in domains I–III of CaV1.1 with α2δ-1 domains, including the von Willebrand factor (VWA) domain, as also elucidated functionally (Bourdin et al., 2017, Cantí et al., 2005, Dahimene et al., 2018).

Our main finding is that there are substantial defects in trafficking to the cell surface and into neuronal processes and presynaptic terminals of the divalent cation-impermeant CaV2 selectivity filter mutant channels, even though they are optimally expressed together with the auxiliary β and α2δ subunits. Furthermore, cell-surface expression of these selectivity filter mutant channels was still elevated by the auxiliary subunits. However, the effect of the β subunit was consistently reduced, suggesting it may act in concert with Ca2+ binding in the pore to promote the correct folding of the channel in the endoplasmic reticulum (ER). Our results suggest that a combination of interaction with the auxiliary subunits and Ca2+ binding in the pore promotes the trafficking competency of CaV2 channels.

Results

CaV2.2 Channels with Mutations in Their Selectivity Filters Have Reduced or No Inward Calcium Channel Current

Here, we have examined the importance of the CaV2 channel selectivity filter for channel trafficking, taking advantage of our previously described extracellular hemagglutinin (HA)-tagged CaV2.2 construct, in which the tag does not affect function (Cassidy et al., 2014). Initially, we mutated the four pore-loop selectivity filter residues—E314, E664, E1370, and E1658—in domains I–IV of CaV2.2 to the non-charged alanine (A), either alone or concurrently (Figure 1A). The CaV2.2 EI, II, III, IVA selectivity filter mutant, in which all the mutations are present, is identical to the E4A selectivity filter mutant used by Cao and Tsien (2010), except for the extracellular HA tag to enable cell-surface expression to be determined (Cassidy et al., 2014). Importantly, in all our experiments, the α1 subunits were always expressed together with β1b and α2δ-1, unless otherwise stated.

Figure 1.

Figure 1

Calcium Channel Currents Produced by Selectivity Filter Mutant CaV2.2 Channels in Comparison to WT Channels

(A) Diagram of CaV2.2 with the positions of the HA tag in domain II and the four selectivity filter glutamates (E residues) indicated. All CaV2.2 constructs contained this HA tag, unless stated otherwise.

(B) Example families of CaV2.2 currents recorded from tsA-201 cells for WT CaV2.2-HA (blue), CaV2.2-HA EIA (red), CaV2.2-HA EIVA (black), and CaV2.2-HA EI, II, III, IVA (green), co-expressed with β1b and α2δ-1. Holding potential −80 mV, steps between −50 and +60 mV for 50 ms in 5-mV steps.

(C) Mean (±SEM) I-V relationships for the conditions shown in (B). WT CaV2.2-HA (solid blue circles, n = 10), CaV2.2-HA EIA (solid red circles n = 8), CaV2.2-HA EIVA (solid black circles, n = 6), and CaV2.2-HA EI, II, III, IVA (solid green circles, n = 5) co-expressed with β1b and α2δ-1. For WT CaV2.2-HA, the mean data were fit with a modified Boltzmann relationship (solid line). Fit data in Table S1.

(D) IBa at +5 mV from the I-V relationships shown in (C). Individual data (same colors as C) and mean ± SEM are plotted. ∗∗∗∗p < 0.0001; ∗∗∗p = 0.0004 (one-way ANOVA with Dunnett’s multiple comparison correction compared to WT).

(E) Representative whole-cell current traces from cells expressing WT CaV2.2-HA (blue) or CaV2.2-HA EI, II, III, IVA (green) with β1b and α2δ-1. Tail currents were recorded upon repolarization to −50 mV after test pulses between −50 and +70 mV from a holding potential of −100 mV.

(F) Mean (±SEM) activation curves obtained from tail currents for WT CaV2.2-HA (blue solid circles, n = 8) or CaV2.2-HA EI, II, III, IVA (green solid circles, n = 12) were fitted with Boltzmann function. Fit data are in Table S1.

All experiments in (B)–(F) used standard Cs Aspartate patch pipette solution. For all experiments, n = number of cells recorded from at least three separate transfections.

Electrophysiological examination of these CaV2.2 channels revealed that CaV2.2 containing the substitution of E314 or E1658 to A (EIA or EIVA) retains a small inward Ba2+ current at +5 mV (Figures 1B–1D). More substantial mutations involving a combination of E to A pore mutations (EII, IVA; Figure S1), as well as a substitution of all pore glutamates (EI, II, III, IVA; Figures 1B–1D), showed no inward Ba2+ current at any potential. Furthermore, tail current measurements reinforced the absence of inward currents in CaV2.2 EI, II, III, IVA (Figures 1E and 1F).

Some of these CaV2.2 mutants, including EIA and EI, II, III, IVA, exhibited a substantial outward current at +60 mV (Figures 1B, 1C, and S2A), likely because of the loss of selectivity of the pore, which becomes permeant to monovalent cations (Cs+ and K+) in the presence of a large driving force. In order to reduce outward currents through these channels, in case these might be masking residual inward current, we then utilized an N-methyl-D-glucamine (NMDG)-based internal solution (Figure 2). Indeed, replacing Cs Aspartate with NMDG significantly reduced the outward current observed, by about 80% at +60 mV (Figures 2A, 2B, and S2B), indicating it was carried mainly by Cs+. The results confirmed the absence of an inward current in CaV2.2 EI, II, III, IVA and the presence of a small inward current in both the CaV2.2 EIA and EIVA mutants (Figures 2A–2C).

Figure 2.

Figure 2

Calcium Channel Currents Produced by Selectivity Filter Mutant CaV2.2 Channels in Comparison to WT Channels, Using an NMDG-Containing Pipette Solution

(A) Example families of CaV2.2 currents recorded from tsA-201 cells for WT CaV2.2-HA (blue), CaV2.2-HA EIA (red), CaV2.2-HA EIVA (black), and CaV2.2-HA EI, II, III, IVA (green), co-expressed with β1b and α2δ-1. Holding potential −80 mV, steps between −50 and +60 mV for 50 ms in 5-mV steps.

(B) Mean (±SEM) I-V relationships for the conditions shown in (A). WT CaV2.2-HA (solid blue squares, n = 14), CaV2.2-HA EIA (solid red squares, n = 17), CaV2.2-HA EIVA (solid black squares, n = 13), and CaV2.2-HA EI, II, III, IVA (solid green squares, n = 11) co-expressed with β1b and α2δ-1. For all data except CaV2.2-HA EI, II, III, IVA, the mean data were fit with a modified Boltzmann relationship, as shown (solid lines).

(C) IBa at +5 mV from the I-V relationships shown in (B). Individual data (same colors as B) and mean ± SEM are plotted. ∗∗∗∗p < 0.0001 (one-way ANOVA with Dunnett’s multiple comparison correction compared to WT).

(D) Examples of current traces at +5 mV of WT CaV2.2-HA (left) or CaV2.2-HA EI, II, III, IVA (right) recorded with either Cs Aspartate (top right) or NMDG (bottom right) in the internal solution before and after application of 1 μM ω-CTX.

(E) Mean (±SEM) I-V relationships for conditions shown in (D). WT CaV2.2-HA before (solid blue circles, n = 6) and after application of 1 μM ω-CTX (open blue circles, n = 6), CaV2.2-HA EI, II, III, IVA before application of 1 μM ω-CTX recorded with either Cs Aspartate (solid light green circle, n = 9) or NMDG (solid dark green squares, n = 4), and after application of 1 μM ω-CTX recorded with either Cs Aspartate (open light green circles, n = 9) or NMDG (open dark green squares, n = 4).

(F) Mean (±SEM) I-V relationships for WT CaV2.2-HA + β1b (data repeated from panel B; solid blue squares, n = 14), CaV2.2-HA W391A + β1b (open blue squares, n = 3), CaV2.2-HA EI, II, III, IVA + β1b (data repeated from panel B; solid green squares, n = 11) and CaV2.2-HA EI, II, III, IV – β1b (open green squares, n = 3), all co-expressed with α2δ-1. For WT CaV2.2-HA, the mean data were fit with a modified Boltzmann relationship, as shown (solid line).

All experiments in (A)–(D) used NMDG-containing patch pipette solution. For all experiments, n = number of cells recorded from at least three separate transfections. Where possible, the mean data in (B), (E), and (F) were fit with a modified Boltzmann relationship (solid line). Fit data in Table S1.

We then performed several experiments that confirmed that the residual outward current seen in the CaV2.2 EI, II, III, IVA mutant was through these channels. First, the CaV2.2 EI, II, III, IVA outward current (recorded with either Cs Aspartate or NMDG internally), like the WT CaV2.2 current, was lost when CaV2.2 channels were blocked using ω-conotoxin GVIA (ω-CTX; Figures 2D and 2E).

Second, the outward current through the CaV2.2 EI, II, III, IVA selectivity filter mutant channels was lost when the β subunit was omitted (Figure 2F). A similar result is obtained by the mutation of W391 to A in the AID in wild-type (WT) CaV2.2 (Figure 2F) (Leroy et al., 2005).

Trafficking of Selectivity Filter Mutant CaV2.2 Channels Is Defective but Is Still Influenced by β Subunits

Although the presence of outward currents indicates some selectivity filter mutant channels are inserted in the plasma membrane, it is not possible to use this parameter for quantitative comparison because of the difference in ion conductance between the WT and selectivity filter mutant channels. We therefore examined the cell-surface expression of these channels, using the exofacial HA tag in CaV2.2 to quantify channels in the plasma membrane in non-permeabilized Neuro2A (N2A) cells. In our initial experiments, we found that the selectivity filter mutant channels, co-expressed with α2δ-1 and β1b, were present in the plasma membrane to a much lower extent than WT CaV2.2: a 53.5% reduction for CaV2.2 EIA and a 67.8% reduction for CaV2.2 EI, II, III, IVA (Figures S3A and S3B).

We then performed parallel experiments in the presence and absence of β subunits to determine whether the cell-surface expression of the selectivity filter mutant CaV2.2 channels still responded to β-subunits, as we found to be the case in our electrophysiological experiments (see Figure 2F). These experiments were performed by comparing WT CaV2.2 and CaV2.2 EI, II, III, IVA, using HA Ab prior to permeabilization to determine cell-surface expression and a CaV2.2 II–III loop Ab after permeabilization to determine intracellular CaV2.2 expression (see Method Details). Cell-surface expression of CaV2.2 EI, II, III, IVA was reduced by 68.9% compared to WT CaV2.2 (Figures 3A and 3B), in agreement with the results above. While cell-surface expression of WT CaV2.2 was reduced by 76.5% in the absence of β subunits, for CaV2.2 EI, II, III, IVA, there was a smaller 33.5% reduction in the absence of β subunits (Figure 3B).

Figure 3.

Figure 3

Effect of Mutations in the CaV2.2 Selectivity Filter on Its Cell-Surface Expression and Stimulation by β subunit and by Reduced Temperature

(A) Representative images of N2A cells expressing WT CaV2.2-HA (left two columns) and CaV2.2-HA EI,II,III,IVA (right two columns) with α2δ-1, in the presence (columns 1 and 3) and absence (columns 2 and 4) of β1b. Top row shows cell surface HA staining in non-permeabilized cells at 37°C for all conditions. Second row is the merged image for cells at 37°C; HA is shown in green, the CaV2.2 II-III loop Ab staining after permeabilization is shown in red, and the nuclei are stained with DAPI (blue). The bottom two rows represent cells grown at 30°C. Scale bar, 10 μm.

(B) Bar chart (mean ± SEM) for surface CaV2.2-HA expression in N2A cells at 37°C (left four bars) and 30°C (right four bars) for WT CaV2.2-HA with β1b (blue solid; n = 294 cells at 37°C, 306 cells at 30°C), WT CaV2.2-HA without β1b (blue open; n = 146 cells at 37°C, 228 cells at 30°C), CaV2.2-HA EI, II, III, IVA with β1b (green solid; n = 185 cells at 37°C, 251 cells at 30°C), and CaV2.2-HA EI, II, III, IVA without β1b (green open; n = 130 cells at 37°C, 211 cells at 30°C). All conditions are with co-expression of α2δ-1. Data represent three independent experiments, which were normalized to the WT CaV2.2-HA plus α2δ-1 and β1b at 37°C condition in each experiment. Statistical significance of the effect of the β subunit was determined using Student’s unpaired t test (∗∗∗p = 0.003; ∗∗∗∗p < 0.0001). The absence of β1b produced a 76.2% and 80.3% reduction for WT CaV2.2-HA at 37°C and 30°C, respectively, and a 33.6% and 61.6% reduction for CaV2.2-HA EI, II, III, IVA at 37°C and 30°C, respectively.

(C) Bar chart (mean ± SEM) for staining with the intracellular CaV2.2 II-III loop Ab after permeabilization. Conditions are those described for (B).

Trafficking of Selectivity Filter Mutant CaV2.2 Channels Remains Reduced at 30°C, a Temperature that Promotes Expression

Our finding that the cell-surface expression of the selectivity filter mutant channel CaV2.2 EI, II, III, IVA appeared to be less affected than WT CaV2.2 by the removal of the β subunit might be because the cell-surface level of the mutant channel is already extremely low and close to background levels. We therefore performed additional experiments with a period of cell growth at 30°C, a temperature at which expression and folding are promoted (Al-Fageeh et al., 2006). Indeed, both intracellular and cell-surface expression of CaV2.2 were elevated after 30°C growth, relative to 37°C (Figures 3A–3C): for example, they were elevated by more than 2-fold for WT CaV2.2 + β1b at the cell surface (Figure 3B). However, cell-surface expression of CaV2.2 EI, II, III, IVA at 30°C was still reduced proportionately, relative to WT CaV2.2—by 60.3%, a very similar reduction to that observed at 37°C. Furthermore, both the WT CaV2.2 and CaV2.2 EI, II, III, IVA still responded to the absence of a β subunit (an 80.3% reduction for WT CaV2.2 and a 61.6% reduction for CaV2.2 EI, II, III, IVA; Figures 3A and 3B). In contrast, intracellular CaV2.2 was not consistently affected at both 30°C and 37°C by either of these manipulations (Figures 3A and 3C). Nevertheless, the effect of removing the β subunit was still less for the selectivity filter mutant channels, and this was reinforced in two additional sets of experiments, performed using different techniques to select transfected cells (Figures S3A–S3D), such that from four independent sets of experiments, the percent of reduction of cell-surface expression in the absence of β was 83.4% ± 4.5% for WT CaV2.2 and 56.8% ± 8.8% for CaV2.2 EI, II, III, IVA (p = 0.0174, paired t test). The fact that the selectivity filter mutant channels still responded significantly to both β-subunit co-expression and reduced temperature indicates that the CaV2.2 EI, II, III, IVA channels are not grossly misfolded and thus aggregated in the ER. This is supported by the absence of increased co-localization of CaV2.2 EI, II, III, IVA with an ER marker protein disulphide isomerase (Figure S3E).

Function and Cell-Surface Expression of Selectivity Filter Charge Reversal CaV2.2 EIVK Channels Are Severely Compromised

One of the mutations causing episodic ataxia-2 (EA2) is a charge reversal mutation of the selectivity filter E in domain IV of CaV2.1, which shows a severe reduction in function (Jeng et al., 2008). Indeed, we found that the same mutation in CaV2.2 (CaV2.2 EIVK) exhibited almost no inward or outward current (Figures 4A, 4B, and S1). In agreement with this, almost no cell-surface expression of the CaV2.2 EIVK channel was observed (Figures 4C and 4D; see also Figures S4D and S4E). Cell-surface expression of WT CaV2.2, CaV2.2 EI, II, III, IVA, and CaV2.2 EIVK (co-expressed with α2δ-1 and β1b) was also examined by cell-surface biotinylation in tsA-201 cells (Figures 4E and 4F). Similar results were obtained to those observed by immunocytochemistry in N2A cells, with a 38.0% reduction of plasma membrane expression measured by cell-surface biotinylation for CaV2.2 EI, II, III, IVA and a 59.4% reduction for CaV2.2 EIVK (Figures 4E and 4F). This experiment also showed that the total expression of these selectivity filter mutant channels, co-expressed with α2δ-1 and β1b, was not affected in the whole-cell lysate (WCL; Figure 4G).

Figure 4.

Figure 4

Effect of Charge Reversal Mutation EIVK in the CaV2.2 Selectivity Filter on Its Function and Cell-Surface Expression

(A) Current traces from tsA-201 cells expressing WT CaV2.2-HA (blue) or CaV2.2-HA EIVK (violet) together with β1b and α2δ-1 recorded with Cs Aspartate in the internal solution. Holding potential −80 mV, steps between −50 and +60 mV for 50 ms in 5-mV steps.

(B) Mean (±SEM) I-V relationships for conditions shown in (A). WT CaV2.2-HA (solid blue circles, repeated from Figure 1C) and CaV2.2-HA EIVK (solid violet circles, n = 9). n = number of cells recorded from at least three separate transfections.

(C) Example confocal images of WT (left) and EIVK (right) CaV2.2-HA expressed in N2A cells. Cell-surface expression using HA Ab in non-permeabilized cells (top row); total expression using II-III loop Ab following permeabilization (bottom row). Scale bar, 5 μm.

(D) Bar chart (mean ± SEM) for surface CaV2.2 expression of WT CaV2.2-HA/β1b/α2δ-1 (blue; n = 66 cells), in comparison to CaV2.2-HA EIVK/β1b/α2δ-1 (violet; n = 70 cells). Statistical significance was determined using Student’s unpaired t test (∗∗∗p < 0.001).

(E) Example immunoblot analysis of cell-surface biotinylated material (left panels) and WCL (right panels) for CaV2.2-HA (top panel) WT (lane 1), EI, II, III, IVA (lane 2), and EIVK (lane 3), co-expressed with β1b and α2δ-1 (middle panel). Akt and GAPDH are loading and biotinylation controls (lower two panels).

(F and G) Mean ± SEM (and individual data points, including those from data in E) for biotinylated (F) and WCL (G) CaV2.2-HA WT (blue, n = 8), EI, II, III, IVA (green, n = 8), and EIVK (violet, n = 6) proteins, each normalized to control. In (F), ∗∗∗p = 0.0006 for CaV2.2-HA EI, II, III, IVA and ∗∗∗∗p < 0.0001 for CaV2.2-HA EIVK; one-way ANOVA with Dunnett’s post hoc multiple comparisons test, compared to WT.

Trafficking of Selectivity Filter Mutant CaV2.2 Channels Remains Sensitive to α2δ and Is Defective in Hippocampal Neurons

From a previous study (Kadurin et al., 2016), we found that trafficking of CaV2.2 into hippocampal neurites is highly dependent on the presence of an α2δ subunit. We first examined the effect of α2δ-1 on trafficking of the CaV2.2 selectivity filter mutants in undifferentiated N2A cells. Similar to previous results, cell-surface expression was reduced by 53.5% for CaV2.2 EIA and by 67.8% for CaV2.2 EI, II, III, IVA (Figures 5A and 5B). Furthermore, we found that the absence of the α2δ subunit reduced the channel density in the plasma membrane to a similar extent for the WT and mutant channels: by 73.1% for WT CaV2.2, 83.0% for CaV2.2 EIA, and 88.2% for CaV2.2 EI, II, III, IVA (Figures 5A and 5B). Thus, binding of Ca2+ in the pore and/or conduction of Ca2+ are not prerequisites for the stimulation of CaV2.2 trafficking by α2δ-1 in non-neuronal cells.

Figure 5.

Figure 5

Effect of the Mutations in the CaV2.2 Selectivity Filter on Its Cell-Surface Expression and Stimulation by α2δ-1 in N2A Cells and Hippocampal Neurites

(A) Images of surface expression (HA Ab; red) of WT CaV2.2-HA (left), CaV2.2-HA EIA (middle), and CaV2.2-HA EI, II, III, IVA (right) in non-permeabilized N2A cells, co-expressed with β1b alone (top panel) or with β1b + α2δ-1 (bottom panel). Nuclei stained with DAPI (blue). Scale bar, 5 μm.

(B) Bar chart for surface CaV2.2 expression of WT CaV2.2-HA/β1b (blue open; n = 171 cells), WT CaV2.2-HA/β1b/α2δ-1 (blue solid; n = 153 cells), CaV2.2-HA EIA/β1b (red open; n = 101 cells), CaV2.2-HA EIA/β1b/α2δ-1 (red solid; n = 112 cells), CaV2.2-HA EI,II,III,IVA/β1b (green open; n = 153 cells), and CaV2.2-HA EI,II,III,IVA/β1b/α2δ-1 (green solid; n = 234 cells) in N2A cells. Data are mean ± SEM normalized to the WT CaV2.2-HA/β1b/α2δ-1 condition in each of four experiments.

(C) Images of surface expression (HA Ab) for WT CaV2.2-HA (left), CaV2.2-HA EIA (middle), or CaV2.2-HA EI,II,III,IVA (right) expressed in non-permeabilized hippocampal neurons when co-expressed with β1b alone (top panel) or with β1b + α2δ-1 (bottom panel). Scale bar of 20 μm applies to all images.

(D) Bar charts for HA expression in neuronal processes of non-permeabilized hippocampal neurons transfected with WT CaV2.2-HA/β1b (blue open; n = 124 processes, 33 cells), WT CaV2.2-HA/β1b/α2δ-1 (blue solid; n = 140 processes, 41 cells), CaV2.2-HA EIA/β1b (red open; n = 65 processes, 20 cells), CaV2.2-HA EIA/β1b/α2δ-1 (red solid; n = 70 processes, 17 cells), CaV2.2-HA EI, II, III, IVA/β1b (green open; n = 103 processes, 36 cells), or CaV2.2-HA EI, II, III, IVA/β1b/α2δ-1 (green solid; n = 91 processes, 26 cells). Data are mean ± SEM neurite intensity/neuron.

(E) Images of WT CaV2.2-HA (left), CaV2.2-HA EIA (middle), or CaV2.2-HA EI, II, III, IVA (right) co-expressed with β1b and α2δ-1 and immunostained with the HA Ab in permeabilized hippocampal neurons. Scale bar of 20 μm applies to all images.

(F) Bar charts for WT CaV2.2-HA (blue; n = 242 processes, 72 cells), CaV2.2-HA EIA (red; n = 220 processes, 60 cells), or CaV2.2-HA EI, II, III, IVA (green; n = 175 processes, 50 cells), co-expressed with β1b and α2δ-1, in permeabilized hippocampal processes. Data are mean ± SEM neurite intensity/neuron.

For (B), (D), and (F), statistical significance was determined using one-way ANOVA and Holm-Sidak’s multiple comparisons post hoc test (ns, non-significant; p = 0.0467; ∗∗∗p < 0.0005; ∗∗∗∗p < 0.0001).

In order to examine the importance of an intact Ca2+ conduction pathway on calcium channel trafficking to the cell surface in neurons, we expressed the channels together with β1b and α2δ-1 in hippocampal neurons after 7 days in culture so that the neuronal processes were already extensive prior to transfection. In non-permeabilized neurons, we found a marked reduction in the density of CaV2.2 expression in neurites for both selectivity filter mutant channels examined—by 76.3% for CaV2.2 EIA and by 76.2% for CaV2.2 EI, II, III, IVA—compared to WT CaV2.2 (Figures 5C and 5D). This further highlights the importance of an intact selectivity filter for the trafficking of these channels. However, the absence of the α2δ subunit still decreased the penetration into neurites by the selectivity filter mutant channels to a similar extent to WT CaV2.2: by 67.3% for WT CaV2.2, 71.5% for CaV2.2 EIA, and 56.3% for CaV2.2 EI, II, III, IVA (Figure 5D).

To determine whether the trafficking defect exhibited by the selectivity filter mutants represents trafficking into the neurites themselves or insertion into the cell surface of the neurites, we examined the distribution of the channels in permeabilized neurons. We found total CaV2.2 expression in the neurites was reduced compared to WT CaV2.2 by 47.2% for CaV2.2 EIA and by 53.6% for CaV2.2 EI, II, III, IVA (all in the presence of β1b and α2δ-1; Figures 5E and 5F). Therefore, the main effect of the pore mutations in CaV2.2 appears to be on the trafficking of these channels into the neurites, rather than specifically on cell-surface expression in the neurites.

Trafficking of Selectivity Filter Mutant CaV2.2 Channels into Presynaptic Terminals of Hippocampal Neurons Is Reduced

CaV2 channels play a key role in neurotransmitter release, and their trafficking to presynaptic terminals is tightly controlled (for recent review, see Dittman and Ryan, 2019). We therefore examined the importance of an intact Ca2+ conduction pathway on calcium channel trafficking to the presynaptic terminals of hippocampal neurons in culture. For these experiments, we used N-terminally GFP-tagged CaV2.2 constructs (Raghib et al., 2001) in addition to the extracellular HA tag. We did not find any evidence of cleavage of free GFP from these constructs (Figure S4A). Furthermore GFP-CaV2.2 EI, II, III, IVA produced very similar outward currents to CaV2.2 EI, II, III, IVA (Figures S4B and S4C) and showed a reduction in cell-surface expression by 86.9% compared to WT GFP-CaV2.2; however, this remained sensitive to the removal of the β subunit (Figures S4D and S4E).

We therefore expressed in hippocampal neurons either WT or EI, II, III, IVA mutant GFP-CaV2.2 constructs together with β1b and α2δ-1, with vesicle-associated membrane protein (VAMP)-mCherry as a marker for presynaptic terminals. Intracellular CaV2.2 expression was monitored by the fluorescence of the GFP tag, and HA immunostaining in non-permeabilized conditions was used to assess its cell-surface expression (Figure 6).

Figure 6.

Figure 6

Effect of the Mutation in the CaV2.2 Selectivity Filter on Its Expression in Hippocampal Neuronal Somata and Presynaptic Terminals

(A) Confocal image of GFP fluorescence from a cultured hippocampal neuron expressing WT GFP-Cav2.2-HA, α2δ-1, and β1b (2 × 2 tile, 20× objective and post-acquisition stitched). White arrow: soma, red arrow: presynaptic terminals. Scale bar, 100 μm.

(B) Representative confocal images, in non-permeabilizing conditions, of soma expressing either WT (left panels) or EI,II,III,IVA mutant (right panels) GFP-Cav2.2-HA, with α2δ-1 and β1b (63x objective). GFP (top panels), HA (white, middle panels), and merged images (bottom panels). Scale bar, 10 μm.

(C) Bar chart (mean ± SEM) of GFP (cytoplasmic) and HA (cell surface) intensity in the soma. Data from 38 and 41 neurons for WT (blue bars) and EI,II,III,IVA mutant (green bars), respectively (from three independent experiments). Data were normalized to the WT in each experiment. ∗∗∗∗p < 0.0001. ns, p = 0.054. One-way ANOVA and Bonferroni post hoc test.

(D) Confocal images, in non-permeabilizing conditions, of presynaptic terminals expressing WT (left panels) or EI,II,III,IVA mutant (right panels) GFP-Cav2.2-HA with α2δ-1, β1b, and VAMP-mCherry (63× objective). VAMP-mCherry (red; top panels), GFP (green; middle panels), and HA (white; bottom panels). Scale bar, 10 μm.

(E) Bar chart (mean ± SEM) showing GFP (cytoplasmic) and HA (cell surface) in synaptic terminals expressing GFP-CaV2.2-HA. Data acquired from 1,280 and 1,873 boutons for WT (blue bars) and EI,II,III,IVA mutant (green bars), respectively (from between 22 and 25 synaptic areas from three independent experiments). Data were normalized to the WT in each experiment. ∗∗∗∗p < 0.0001. One-way ANOVA and Bonferroni post hoc test.

In the somata of transfected neurons, the WT GFP-CaV2.2 construct was strongly expressed on the cell surface, as detected by the HA-tag, and both at the plasma membrane and in the cytoplasm from the GFP fluorescence (Figures 6A–6C and S5). WT GFP-CaV2.2 was also strongly expressed in the synaptic terminals of transfected neurons (Figures 6A, 6D, and 6E).

The GFP-CaV2.2 EI, II, III, IVA mutant construct was expressed in the cytoplasm of the neuronal somata at a similar level to WT GFP-CaV2.2 (Figures 6B and 6C); however, its expression on the somatic cell surface was reduced by 61% (Figures 6B and 6C). In contrast to WT GFP-CaV2.2 (Figures S5A, S5C, and S5E), little juxta-membrane accumulation of GFP-CaV2.2 EI, II, III, IVA was observed using GFP as a marker (Figures S5B, S5D, and S5F). However, no perinuclear accumulation of the mutant channel was observed (Figure S5B), which might have been indicative of a build-up of the newly translated channel in the ER (Waithe et al., 2011). At the level of presynaptic boutons, expression of the mutant channels was reduced by 42% in the cytoplasm and by 53% at the cell surface, in both cases compared to WT GFP-CaV2.2 (Figures 6D and 6E). No HA immunostaining was seen in the absence of primary HA Ab (Figure S5G).

Trafficking and Function of CaV2.1 Selectivity Filter Mutant Channels Are Also Reduced Compared to WT CaV2.1

We then made a CaV2.1 channel construct with the HA tag at an equivalent site to that in CaV2.2 (CaV2.1-HA). This construct showed robust expression in the plasma membrane when co-expressed with β1b and α2δ-1 in tsA-201 cells, although only when using 30°C culture conditions (Figure S6A; see Method Details). It also supported substantial Ba2+ currents under the same conditions, although the current density for CaV2.1-HA was reduced compared to WT CaV2.1 without the HA tag (Figure S6B). We subsequently compared the properties of WT CaV2.1-HA with CaV2.1 EIA, EIVA and EI, II, III, IVA selectivity filter mutants. In contrast to WT CaV2.1-HA, the CaV2.1 EI, II, III, IVA selectivity filter mutant channel showed no inward current and only a small outward current (Figures 7A and 7B). For CaV2.1 EIA and CaV2.1 EIVA, the inward currents were very markedly reduced, although for CaV2.1 EIA, a substantial outward current was present (Figures 7A and 7B).

Figure 7.

Figure 7

Effect of Mutations in the CaV2.1 Selectivity Filter on Its Calcium Channel Currents and Cell Surface Expression

(A) Example families of CaV2.1 currents for WT CaV2.1-HA (blue), CaV2.1-HA EIA (red), CaV2.1-HA EIVA (black), and CaV2.1-HA EI, II, III, IVA (green), co-expressed with β1b and α2δ-1 in tsA-201 cells. Holding potential −80 mV, steps between −50 and +60 mV for 50 ms in 5-mV steps. Experiments used standard Cs Aspartate patch pipette solution.

(B) Mean (±SEM) I-V relationships for the conditions shown in (A). WT CaV2.1-HA (solid blue squares; n = 19), CaV2.1-HA EIA (solid red squares; n = 10), CaV2.1-HA EIVA (solid black squares; n = 12), and CaV2.1-HA EI, II, III, IVA (solid green squares; n = 10) co-expressed with β1b and α2δ-1. For WT CaV2.1-HA, the mean data were fit with a modified Boltzmann relationship (solid line). Fit data in Table S1. n = number of cells recorded from at least three separate transfections.

(C) Representative images of cell-surface expression of CaV2.1-HA (HA Ab; top row) in non-permeabilized N2A cells of (left to right) WT CaV2.1-HA, CaV2.1-HA EIA, CaV2.1-HA EIVA, and CaV2.1-HA EI, II, III, IVA. Second row shows mCherry transfection marker, and the third row shows merged images. Bottom row shows total expression of CaV2.1-HA (HA Ab) in a separate experiment, in permeabilized N2A cells. All conditions contained β1b and α2δ-1. Scale bar, 10 μm.

(D) Bar chart for surface CaV2.1 expression in N2A cells of WT CaV2.1-HA (blue bar; n = 429 cells), CaV2.1-HA EIA (red bar; n = 360 cells), CaV2.1-HA EIVA (black bar; n = 249 cells), and CaV2.1-HA EI, II, III, IVA (green bar; n = 274 cells). All conditions contained β1b and α2δ-1. Data are mean ± SEM normalized to the WT CaV2.1-HA condition. Statistical significance was determined using one-way ANOVA and multiple comparison post hoc test (∗∗∗p < 0.001). Data were obtained from at least three separate transfections.

We then examined the cell-surface expression of the CaV2.1 selectivity filter mutants, and, in agreement with the electrophysiological results, we found that CaV2.1 EIVA and CaV2.1 EI, II, III, IVA showed almost no cell-surface expression in N2A cells (74.0% and 79.4% reduction, respectively), whereas clear cell-surface expression was observed for CaV2.1-HA EIA, although it was 33.5% less than for WT CaV2.1-HA (Figures 7C and 7D). In contrast, all constructs showed robust intracellular staining (Figure 7C, bottom row). Thus, the CaV2.1 selectivity filter mutants also show very marked trafficking defects, which mirror closely the effects observed on the respective currents.

Discussion

In this study, we set out to test the hypothesis that binding of Ca2+ in the selectivity filter of CaV2 channels or conduction of Ca2+ by the channels may define an intracellular trafficking checkpoint for their optimal cell surface expression and represent a key stage in the assembly and trafficking of the channel complexes. We therefore examined whether Ca2+-impermeant CaV2 channels, with mutations in their selectivity filters, were able to reach the plasma membrane in cell lines and neurons, and we found significant defects in their trafficking. Such selectivity filter mutant channels have been widely used in previous studies—initially to study permeation mechanisms (Ellinor et al., 1995, Sather et al., 1994, Yang et al., 1993) and more recently to show that Ca2+-dependent inactivation is mediated by Ca2+ binding to residues near the selectivity filter of CaV1.2 (Abderemane-Ali et al., 2019). However, they have also been used in physiological experiments as non-functional “dominant negative” channels (Cao et al., 2004, Cao and Tsien, 2010, Krey et al., 2013) or as channels that do not conduct Ca2+ (Servili et al., 2018).

By examining in parallel the expression and trafficking of several selectivity filter mutant channels, both in cell lines and in hippocampal neurons, we obtained the unexpected result that CaV2.2 selectivity filter mutant channels have a severely compromised ability to traffic to the cell surface, despite being co-expressed with the relevant α2δ and β auxiliary subunits. We found very similar results for CaV2.1 selectivity filter mutants, except that trafficking of CaV2.1 EI, II, III, IVA was even more severely compromised than for the equivalent CaV2.2 mutant, suggesting that trafficking of this channel is very sensitive to interference with the structural integrity of the selectivity filter. It is of great interest that two CACNA1A EA2 missense mutations have been identified that convert the selectivity filter glutamate in domain IV either to the oppositely charged lysine (Denier et al., 2001) or to glycine (Petrovicova et al., 2017). We found that the CaV2.1 EIVA mutant (Figure 7D) and the CaV2.2 EIVK mutant (Figure 4) exhibited very little surface expression.

In our experiments, all CaV α1 constructions were initially co-expressed with auxiliary subunits. The β subunits are extremely important for both the correct function of CaV1 and 2 channels (Pragnell et al., 1994) and their trafficking to the plasma membrane and into neuronal processes (Altier et al., 2011, Cassidy et al., 2014, Waithe et al., 2011). The β subunits promote α-helix formation in the I-II linker to which they bind (Opatowsky et al., 2004, Van Petegem et al., 2008) and also reduce polyubiquitination and ER-associated proteasomal degradation of the channels (Altier et al., 2011, Page et al., 2016, Waithe et al., 2011). Here, we show that the trafficking of the selectivity filter mutant CaV2.2 channels still responded to β subunits, albeit to a lesser extent than WT channels, suggesting that Ca2+ binding in the channel selectivity filter may represent an early step in channel folding in the ER, priming the channel to respond optimally to β-subunit binding. Furthermore, the defect in the trafficking of selectivity filter mutant CaV2.2 channels cannot be overcome by cell growth at a reduced temperature, which promotes correct protein folding. While it is an intriguing possibility, it is not possible to determine conclusively from this study whether it is indeed the absence of Ca2+ binding in the selectivity filter that mediates this trafficking defect, since the selectivity filter mutations themselves or a combination of both issues may be responsible. However, our results indicate that the reduced trafficking of the selectivity filter mutant channels is not because they are so misfolded that they are aggregated within the ER, which might render their trafficking completely insensitive to β-subunit binding and result in proteasomal degradation. This is not surprising, since interference with the selectivity filter by side chain substitution does not alter the carbonyl backbone and should not cause a complete collapse of the pore.

We have shown previously that α2δ subunits are also important for the optimal trafficking of CaV2 channels to the plasma membrane (Cassidy et al., 2014), and the binding of the α2δ VWA domain to the first extracellular loop in domain I is essential for this effect (Dahimene et al., 2018). In a recent study using non-cleavable α2δ subunits, which were unable to increase channel function, we found major trafficking defects of the channel complex in neurons (Ferron et al., 2018, Kadurin et al., 2016). Moreover, the presence of an α2δ subunit was required to observe enhanced trafficking resulting from trafficking motifs in exon 37a in the proximal C terminus of CaV2.2 (Macabuag and Dolphin, 2015). However, here we found that trafficking of the divalent cation-impermeant selectivity filter mutant CaV2.2 channels still responded proportionately to α2δ subunits, indicating that a lack of interaction with α2δ was not the reason for the reduced cell-surface expression of the impermeant channels.

Our results indicate that binding of Ca2+ in the pore selectivity filter may be required for optimal trafficking of the CaV2 channels, and although this result is obtained following heterologous expression, it is likely to represent a valid conclusion. It has been shown that Ca2+ is bound tightly in the pore of WT L-type Ca2+ channels, even when extracellular Ca2+ is reduced to μM levels, such that there is no permeation (Yang et al., 1993). It is therefore possible that the binding of Ca2+ ions to the CaV2 channel selectivity filter, which could take place as the channel folds in the high Ca2+ environment of the ER, plays a role in optimizing channel structure. This effect of Ca2+ binding might occur in synergy with the effect of β-subunit binding to the AID in the I-II linker. The β-subunit interaction has been shown to promote α-helix formation in the AID that extends into transmembrane segment IS6 (for review, see Minor and Findeisen, 2010). The formation of a mature structure of the core of the CaV channel pore domain may then promote the exposure of particular intracellular juxta-membrane trafficking motifs, such as those binding adaptor proteins (Macabuag and Dolphin, 2015), which facilitate trafficking beyond the ER. The interaction of CaV channels, via other important trafficking motifs in the C terminus and elsewhere, with their targets in neurons might also be affected (Kaeser et al., 2011, Maximov and Bezprozvanny, 2002, Tseng et al., 2017). A similar process has been identified for ionotropic glutamate receptors, in which mutations of the glutamate agonist binding site prevent exit from the ER, leading to the suggestion that agonist binding in the ER is a part of a quality control checkpoint for channel maturation and trafficking (Daou et al., 2013). Alternatively, it may be that CaV channels that are rendered non-functional or poorly functional by other means will show reduced trafficking, and this will require future experimentation.

A corollary of our results is that physiological experiments, in which selectivity filter mutants of CaV2 channels have been used as dominant-negative or Ca2+-impermeant channels (Cao et al., 2004, Cao and Tsien, 2010, Krey et al., 2013), may need reinterpretation. Such CaV2.1 and CaV2.2 mutants have been used previously in the elaboration of the “slots” hypothesis, whereby a limited number of CaV2.1-preferring slots would be associated with each vesicular release site in presynaptic terminals, and these could be occupied by either WT channels or experimentally by selectivity filter mutant non-permeant channels (Cao et al., 2004). However, in the present study, we show that the assumption that the selectivity filter mutants would have the same trafficking properties as their WT counterparts is incorrect; in fact, they exhibit severe trafficking defects. In addition, a more recent study (Lubbert et al., 2019) in the giant Calyx of Held synapse, which is optimized for fidelity of transmission (Borst and Sakmann, 1998, Mc Laughlin et al., 2008), provides no evidence for limiting CaV2.1-preferring slots.

Furthermore, in these and other previous studies, the channels were overexpressed in the absence of auxiliary subunits, whereas our work has highlighted the importance of both β and α2δ in trafficking calcium channels into neuronal processes (Kadurin et al., 2016, Waithe et al., 2011) and into presynaptic active zones to support vesicular release by endogenous Ca2+ channels (Ferron et al., 2018, Hoppa et al., 2012). Our work shows it is inadvisable to overexpress either WT or mutant calcium channel α1 subunits in neurons without additional β and α2δ subunits, on the assumption that these auxiliary subunits would be present endogenously in great excess, as this is unlikely to be the case. If channels are expressed at the same low level as present endogenously, then this will not be an issue.

The skeletal muscle CaV1.1 channel does not rely on Ca2+ permeation for its main function, and it is of interest that a previous study showed that the expression of a selectivity filter mutant in CaV1.1 (EIIIK) remained able to restore both off-gating currents and excitation-contraction coupling when expressed in dysgenic myotubes, whereas the equivalent CaV1.2 mutant did not (Dirksen and Beam, 1999). Therefore, trafficking of CaV1.1 into their stable tetrad organization within t-tubule membranes may be less dependent on Ca2+ binding in its selectivity filter; indeed, the trafficking of these channels is also independent of α2δ-1 (Gach et al., 2008). Other recent studies, which have used CaV1.2 channels with mutations in or adjacent to the selectivity filter, have made several important findings. First, the conserved aspartate adjacent to the selectivity filter E in domain II is an essential mediator of Ca2+-dependent inactivation (Abderemane-Ali et al., 2019); and second, Ca2+ occupation of the selectivity filter, but not permeation, was found to be essential to mediate effects of Ras (Servili et al., 2018). Whether mutation of the selectivity filter in L-type channels affects their cell-surface expression remains to be determined, the result of which might alter the interpretation of these experiments.

Conclusions

Our results show a very marked trafficking defect in selectivity filter mutant CaV2 channels and further suggest the possibility that a combination of interaction of CaV2.2 channels with the auxiliary subunits, together with Ca2+ binding in the pore, may promote correct folding and trafficking of the channels.

STAR★Methods

Key Resources Table

REAGENT or RESOURCE SOURCE IDENTIFIER
Antibodies

Anti-CaV2.2 II-III loop Ab (rabbit polyclonal) Raghib et al., 2001 n/a
Anti-CaV2.1 Ab Alomone labs Cat #ACC-001; RRID: AB_2039764
Anti-HA ab rat monoclonal Sigma-Aldrich Clone 3F10, Cat #11815016001; RRID: AB_390914
Anti-HA Ab rabbit polyclonal Sigma-Aldrich Cat #H6908; RRID: AB_260070
Anti-PDI Ab mouse monoclonal Abcam Cat #ab2792; RRID: AB_303304
Anti-GAPDH ab Ambion Cat #AM4300; RRID: AB_2536381
Anti-Akt Ab (rabbit polyclonal) Cell Signaling Technology Cat #9272; RRID: AB_329827
Anti-rabbit Alexa fluor 594 Thermo Fisher Cat #R37117; RRID: AB_2556545
Anti-rat Alexa fluor 488 Thermo Fisher Cat #A-11006; RRID: AB_2534074
Anti-mouse Alexa fluor 647 Thermo Fisher Cat #A32728; RRID: AB_2633277
Anti-mouse Alexa fluor 488 Thermo Fisher Cat #A-11001; RRID: AB_2534069
Anti-rat Alexa fluor 594 Thermo Fisher Cat #A-11007; RRID: AB_10561522
Anti-rat fluorescein isothiocyanate Sigma-Aldrich Cat #F1763; RRID: AB_259443
Goat anti-rabbit HRP Biorad, Hemel Hempstead, UK Cat #1706515; RRID: AB_11125142
Goat anti-rat HRP Biorad, Hemel Hempstead, UK Cat #5204-2504; RRID: AB_619913
Goat anti-mouse HRP Biorad, Hemel Hempstead, UK Cat #1721011; RRID: AB_11125936
Anti-Rat IgG Biotin antibody Sigma-Aldrich Cat #B7139; RRID: AB_258601
Streptavidin Alexa Fluor 594 Thermo Fisher Cat #S11227

Chemicals, Peptides, and Recombinant Proteins

ω-conotoxin GVIA Alomone Cat #C-300
Penicillin-Streptomycin (10,000 U/mL) Invitrogen Cat #15140-122
Poly-L-lysine Sigma Cat #P.6282
Dulbecco’s modified Eagle’s medium Thermo Fisher Cat #41965-039
GlutaMAX Invitrogen Cat #35050-038
Fugene Promega Cat #E2311
Polyjet Tebu-bio Ltd Cat #189-SL100688-1
Opti-MEM Thermo Fisher Cat #41965-039
Neurobasal Medium Invitrogen Cat #10888-022
B27 medium Thermo Fisher Cat #17504044
HEPES Sigma Cat #H3375
Horse serum Invitrogen Cat #26050-088
Lipofectamine 2000 Invitrogen Cat #L3000-008
Premium Grade EZ-link Sulfo-NHS-LC-Biotin Thermo Scientific Cat #21335
Glycine Sigma Cat #G8898
Sodium Dodecyl Sulfate VWR Cat #444062F
Protease Inhibitors Roche Cat #11697498001
Dithiothreitol Melford Cat #MB1015
3–8% Tris-Acetate gels Invitrogen Cat #EA0375BOX
polyvinylidene fluoride (PVDF) membrane Biorad Cat #1620177
streptavidin-agarose beads Thermo Scientific Cat #20347
Igepal Sigma Cat #I3021
A/G PLUS Agarose slurry Santa Cruz Cat #Sc-2003
Paraformaldehyde sigma Cat #P6148
Goat serum Invitrogen Cat #6210-072
Triton X-100 Thermo Scientific Cat #28314
4’,6-diamidine-2′-phenylindole dihydrochloride (DAPI) Molecular probes Cat #nl5995050
VectaShield Vector Laboratories Vector Laboratories Cat #H1000
fetal bovine serum Invitrogen Cat #10270
Bovine serum albumin First Link (UK) Ltd Cat #41-00-410
Papain Sigma Cat # P4762
L-Cysteine Sigma Cat #W326305
DNase I Invitrogen Cat #18047019
Glucose Sigma Cat #G7528
Hanks buffered salt solution (HBSS) Invitrogen Cat #14175053

Critical Commercial Assays

Bradford Assay Biorad Cat #500-0006
ECL 2 Thermo scientific Cat #32132

Experimental Models: Cell Lines

tsA-201 cells ECACC Cat #96121229; RRID: CVCL_2737
Neuro2A cells ATCC Cat #CCL-131; RRID: CVCL_0470

Experimental Models: Organisms/Strains

Rat Sprague Dawley male UCL, bred in house n/a

Oligonucleotides

Table S2 This paper n/a

Recombinant DNA

Rabbit CaV2.2-HA Cassidy et al., 2014 n/a
CaV2.2-HA EIA This paper n/a
CaV2.2-HA EIVA This paper n/a
CaV2.2-HA EI, II, III, IVA This paper n/a
CaV2.2-HA EIVK This paper n/a
Rat β1b (GenBank: X61394) Pragnell et al., 1991 RRID: Addgene_107423
β1b-GFP Waithe et al., 2011 RRID: Addgene_89893
Rat α2δ-1 (GenBank: M86621) Kim et al., 1992 RRID: Addgene_58726
Rat CaV2.1 (GenBank: M64373) Brodbeck et al., 2002 n/a
CaV2.1-HA This paper n/a
CaV2.1-HA EIA This paper n/a
CaV2.1-HA EIVA This paper n/a
CaV2.1 HA EI, II, III, IVA This paper n/a
GFP-CaV2.2 HA Macabuag and Dolphin, 2015 n/a
GFP-CaV2.2-HA EI, II, III, IVA This paper n/a
mcherry (GenBank: AY678264) Shaner et al., 2004 n/a
CD8 Rougier et al., 2005 n/a
Vamp-mCherry Hoppa et al., 2012 n/a

Software and Algorithms

ImageJ NIH https://imagej.nih.gov/ij/RRID:SCR_003070
GraphPad Prism 5 or 7 GraphPad software https://www.graphpad.com/scientific-software/prism/
Origin-Pro 2015 Microcal Origin, Northampton, MA https://www.originlab.com/origin
pCLAMP 9 Molecular Devices https://www.moleculardevices.com/products/axon-patch-clamp-system/acquisition-and-analysis-software/pclamp-software-suite

Lead Contact and Materials Availability

Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Annette Dolphin (a.dolphin@ucl.ac.uk).

Materials availability statement

Addgene catalog numbers are given in Key Resources table and additional constructs will be deposited in Addgene.

Experimental Model Details

Cell lines

The cell lines were plated onto cell culture flasks, coverslips or glass-bottomed dishes (MatTek Corporation, Ashland, MA), coated with poly-L-lysine, and cultured in a 5% CO2 incubator at 37°C.

tsA-201 cell line

The tsA-201 cells (European Collection of Cell Cultures, female sex) were cultured in Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 10% fetal bovine serum (FBS), 1 unit/ml penicillin, 1 μg/ml streptomycin and 1% GlutaMAX (Life Technologies, Waltham, MA).

N2A cell line

Mouse neuroblastoma N2A cells (American Tissue culture collection # CCL-131, male sex) were obtained from Professor Roger Morris, Kings College London (Parkyn et al., 2008). They were cultured in 50% DMEM and 50% OPTI-MEM supplemented with 5% FBS, 1 unit/ml penicillin, 1 μg/ml streptomycin, and 1% GlutaMAX.

Primary rat hippocampal cultures

All experiments were performed using a Schedule 1 method in accordance with the Home Office Animals (Scientific Procedures) Act 1986, UK. Hippocampal neurons were obtained from male P0 Sprague Dawley rat pups. After cervical dislocation and decapitation, brains were excised and rapidly placed in ice-cold Hanks buffered salt solution (HBSS, Life Technologies) and hemisected. After dissecting out the mid brain from each hemisphere, hippocampi were collected and cleaned from the meninges. Hippocampi were chopped into small pieces and incubated in a shaker (200 rpm) for 40 min at 37°C in a HBSS-based dissociation solution containing: papain (Sigma, 7 unit/ml), bovine serum albumin (BSA, 0.2 mg/ml), L-Cysteine (0.2 mg/ml), glucose (5 mg/ml) and DNase I (Life Technologies, 1000 unit/ml). The digested tissues were then gently triturated with glass Pasteur pipettes and the cells were counted. Approximately 75 × 103 cells in 100 μL of plating solution (Neurobasal medium supplemented with B27 (Life Technologies; 2%), HEPES (10 mM), horse serum (5%), glutamine (0.5 mM), and 1 unit/ml penicillin, 1 μg/ml streptomycin) were seeded onto sterile poly-lysine-coated glass coverslips and incubated at 37°C. After 2 h, the plating solution was replaced with 1 mL of growth medium (serum-free Neurobasal medium supplemented with B27 (Life Technologies; 4%), 2-mercaptoethanol (25 μM), glutamine (0.5 mM), and 1 unit/ml penicillin, 1 μg/ml streptomycin), half of which was replaced every 3-4 days.

Method Details

Molecular biology

The following α1-subunit cDNAs were used: CaV2.2 (rabbit, GenBank: D14157), always containing an extracellular HA-tag (Cassidy et al., 2014), with an additional N-terminal GFP tag where stated (Macabuag and Dolphin, 2015, Raghib et al., 2001) and rat Cav2.1 (GenBank: M64373 with E1686R) (Brodbeck et al., 2002), with an HA-tag in an equivalent position, except when stated. For this construct, two HA sequences separated by a Gly residue were inserted between V572 and I573 to give [.....VIWAV-(HA)-G-(HA)-IKPGT...]. Site-directed mutagenesis to make selectivity filter mutant constructs of CaV2.2 and CaV2.1 was carried out using standard procedures, and all subcloning and mutations were confirmed by sequencing. Oligonucleotides used to make the new constructs used in this study are given in Table S2. Other cDNAs used were β1b (rat, GenBank: X61394) (Pragnell et al., 1991), β1b-GFP (Waithe et al., 2011), α2δ-1 (rat, GenBank: M86621) (Kim et al., 1992), mCherry (Shaner et al., 2004) and VAMP-mCherry (Hoppa et al., 2012). The cDNAs were in the pcDNA3 vector for expression in tsA-201 and N2A cells and pcDNA3 or pCAGGS for expression in hippocampal neurons. CD8 cDNA (Rougier et al., 2005) was included as a transfection marker where stated.

Antibodies and other materials

Antibodies (Abs) used were: anti-CaV2.2 II-III loop Ab (rabbit polyclonal) (Raghib et al., 2001), anti-CaV2.1 II-III loop Ab (rabbit polyclonal, Alomone), anti- α2δ-1 Ab (mouse monoclonal, Sigma-Aldrich), anti-HA (rat monoclonal, Roche), anti-HA (rabbit polyclonal, Sigma), anti-PDI (mouse monoclonal, Abcam), anti-Akt Ab (rabbit polyclonal, Cell Signaling Technology) and anti-GAPDH Ab (mouse monoclonal, Ambion). For immunocytochemistry, secondary Abs (1:500) used were anti-rabbit-Alexa Fluor 594, anti-rat- Alexa Fluor 488, anti-rat-Alexa Fluor 594 and 647 and anti-mouse-Alexa Fluor 488 (ThermoFisher). For immunoblotting, secondary Abs (1:2000) were anti-rabbit-Horseradish Peroxidase (HRP), and anti-mouse HRP (Biorad).

Cell line transfection

For immunocytochemistry, tsA-201 cells and N2A cells were transfected with CaV2.1-HA or CaV2.2-HA together with α2δ-1 and β1b (unless otherwise stated, all in vector pcDNA3) in a ratio 3:2:2 (plus 0.5 for mCherry as a transfection marker when included). The transfection reagent used was PolyJet (Tebu-bio Ltd), used in a ratio of 3:1 to DNA mix, according to the manufacturer’s protocol. Culture medium was changed 6 h after transfection and cells were either incubated at 37°C for a further 42 h or transferred to 30°C for 66 h. For electrophysiological studies, tsA-201 cells were transfected as above, except using Fugene6 (Promega, Fitchburg, WI), according to the manufacturer’s protocol. β1b-GFP or CD8 were used as transfection markers. Similar data were obtained using the two different methods to identify transfected cells for recording (CD8 in all Figures, except Figure S1, which used β1b-GFP). Cells were incubated at 37°C post transfection or incubated at 37°C overnight and then transferred to 30°C for a further 24 h, where stated. For cell surface biotinylation experiments, tsA-201 cells were transfected as above using Fugene6 and incubated at 37°C for 48 h.

Neuronal transfection

At 7 days in vitro and 2 h before transfection, half of the medium was removed, and kept as ‘conditioned’ medium, and 500 μL of fresh medium was added. The hippocampal cultures were then transfected using Lipofectamine 2000, at a ratio of 1:2 to DNA mix (1 μg/μl). After 2 h, the transfection mixes were replaced with growth medium consisting of 50% conditioned and 50% fresh medium. The DNA mix (in pCAGGS) consisted of CaV2.2 (either WT-CaV2.2-HA, GFP-CaV2.2 HA, CaV2.2-HA EIA, CaV2.2-HA EI,II,III,IVA or GFP-CaV2.2-HA EI,II,III,IVA), α2δ-1, β1b and mCherry or VAMP-mCherry, at a ratio of 3:2:2:1. α2δ-1 was replaced by empty vector when appropriate. The cultures were used for immunostaining experiments at 14 days in vitro, as described below.

Cell surface biotinylation and immunoblotting

Cell surface biotinylation experiments were carried out on tsA-201 cells expressing either WT CaV2.2-HA or the EI, II, III, IVA and EIVK pore mutants together with α2δ-1 and β1b. At 48 h after transfection, cells were rinsed with phosphate-buffered saline (PBS) and then incubated for 30 min at room temperature (RT) with 0.5 mg/ml Premium Grade EZ-link Sulfo-NHS-LC-Biotin (Thermo Scientific) in PBS. The reaction was quenched by removing the biotin solution and replacing with PBS containing 200 mM glycine for 2 min at RT. The cells were rinsed with PBS before being resuspended in PBS containing 1% Igepal; 0.1% SDS and protease inhibitors (PI, cOmplete, Roche), pH 7.4, for 30 min on ice to allow cell lysis, cleared by centrifugation at 13,000 × g and assayed for total protein (Bradford assay, Biorad). Cleared WCLs corresponding to 20 - 40 μg total protein were mixed with 5 x Laemmli sample buffer to a final dilution of 1 x (Davies et al., 2010), and were supplemented with dithiothreitol (DTT) to a final concentration of 100 mM. The samples were then resolved by SDS-polyacrylamide gel electrophoresis (PAGE) on 3–8% Tris-Acetate gels (Invitrogen) and transferred to polyvinylidene fluoride (PVDF) membrane (Biorad). The membranes were blocked with 5% BSA, 0.5% Igepal in Tris-buffered saline (TBS) for 30 min at RT and then incubated overnight at 4°C with the relevant primary Ab. After washing in TBS containing 0.5% Igepal, membranes were incubated with the appropriate secondary Ab for 1 h at RT. The signal was obtained by HRP reaction with fluorescent product (ECL 2; Thermo Scientific) and membranes were scanned on a Typhoon 9410 phosphorimager (GE Healthcare). Biotinylated lysates (equalized to between 0.5 and 1 mg/ml total protein concentration) were applied to 40 μl prewashed streptavidin-agarose beads (Thermo Scientific) and rotated overnight at 4°C. The streptavidin beads were then washed 3 times with PBS containing 0.1% Igepal, resuspended in an equal volume of 2 x Laemmli buffer, supplemented with DTT to a final concentration of 100 mM, and heated for 10 min at 56°C to elute the precipitated protein. The samples containing cell surface proteins were then analyzed by immunoblotting with the indicated Abs as described above.

Immunocytochemistry, imaging and analysis

Immunocytochemistry was carried out on N2A cells expressing either CaV2.1-HA or CaV2.2-HA (WT or selectivity filter mutants) together with α2δ-1 and β1b. After transfection, cells were incubated at either 30°C or 37°C, as described, for 48-72 h before being fixed with 4% paraformaldehyde (PFA) in PBS, pH7.4 at RT for 5 min. When permeabilization was required, cells were then incubated in PBS containing 0.2% Triton X-100 for 5 min at RT. Blocking was performed for 30 min at RT in PBS containing 20% goat serum and 5% BSA. For staining of extracellular epitopes, blocking, and primary Ab incubation steps were carried out prior to permeabilization. The indicated primary Abs were applied (diluted in PBS with 10% goat serum and 2.5% BSA) overnight at 4°C or for 1 h at RT. The indicated secondary Abs were applied (1:500 dilution in PBS, containing 2.5% BSA and 10% goat serum) at RT for 1 h. Cell nuclei were stained with 0.5 μM 4’,6’-diamidino-2-phenylindole (DAPI) in PBS for 5 min. For surface/intracellular HA staining of CaV2.2-HA as shown in Figure S3, cells were incubated with 1:500 anti-HA (rat, monoclonal) for 1 h, followed by incubation with 1:500 anti-rat biotin 1h - effectively masking surface HA epitopes -, permeabilization as described above, followed by incubation with 1:500 anti-HA (rat, monoclonal) overnight at 4°C to probe for intracellular HA epitopes, and finally incubation with 1:500 Steptavidin 594 and anti-rat Alexa Fluor 488.

Cultures of transfected hippocampal neurons were fixed, after 14 days in vitro, in PBS containing 4% PFA / 4% sucrose for 5 min at RT, and then blocked in PBS containing 20% goat serum and 5% BSA for 30 min at RT. Primary Ab (rat anti-HA, 1:200 dilution) was applied overnight at 4°C. Coverslips were washed and cells were then permeabilized by incubating with 0.2% Triton X-100 in PBS for 5 min at RT. When required, the second primary Ab (anti-CaV2.2 II-III loop, 1:250) was incubated overnight at 4°C. The appropriate secondary Abs were applied for 1 h at RT. The coverslips were mounted onto glass slides using VECTASHIELD® mounting medium (Vector Laboratories, Peterborough, UK).

Imaging was performed on Zeiss LSM 780 confocal microscope, at fixed microscope settings for all experimental conditions of each experiment. Images of N2A and tsA-201 cells were obtained using a 63 x oil objective at a resolution of 1,024 × 1,024 pixels and an optical section of 0.5 μm. After choosing a region of interest containing transfected cells, the 3 × 3 tile function of the microscope allowed imaging of a larger area selected without bias. Every cell identified as transfected was included in the measurements, to ensure lack of bias.

Images of tsA-201 and N2A cells were analyzed using imageJ (imagej.net). Surface labeling in non-permeabilized cell bodies was measured using the freehand line tool (5 pixels) to measure the mean intensity of cell-surface staining. Intracellular staining was measured using the freehand selection tool, excluding the nucleus and the plasma membrane. The value of the mean pixel intensity in different channels was measured separately and background was subtracted by measuring the intensity of an imaged area without transfected cells. All data were then normalized to the appropriate positive control for each experiment before combining experiments.

Hippocampal neurons were imaged using a 20 x objective with a 5 μm optical section, to capture neurites (Figures 5C and 5E). Neurons expressing mCherry were selected. Acquisition settings, chosen to ensure that images were not saturated, were kept constant for each experiment. The fluorescence intensity along up to 5 neuronal projections / cell was assessed in ImageJ as follows: two concentric circles (100 and 150 μm diameter) were centered on the soma, and the freehand line tool (3 pixels) was used to trace the neuronal processes between the circles, using the mCherry image as the template. The mean gray intensity of all the pixels within the line was measured in both channels corresponding to the fluorescence of HA immunostaining and mCherry. The background fluorescence was taken in an area with no transfected cells and subtracted from the mean intensity. Mean intensity for all neurites in each neuron was calculated, and data were then averaged and presented per neuron. For high definition images of hippocampal neurons (Figure 6), fields of view were acquired using a 63 x objective (NA 1.4) with a 1 μm optical section at a resolution of 1,424 × 1,424 pixels (95 nm per pixel). For quantification in the soma of neurons, surface labeling (HA staining) was measured using the freehand line tool in imageJ (10 pixels) to measure the mean intensity. Intracellular staining (GFP fluorescence) was measured using the freehand selection tool, excluding the nucleus. For quantification in the presynaptic terminals, 2 μm diameter circular region of interests were placed on all varicosities positive for VAMP-mCherry and the mean gray intensity for GFP signal and HA staining was measured.

Electrophysiology

Calcium channel currents in transfected tsA-201 cells were investigated by whole cell patch-clamp recording, essentially as described previously (Berrow et al., 1997). The patch pipette solution contained in mM: Cs-aspartate, 140; EGTA, 5; MgCl2, 2; CaCl2, 0.1; K2ATP, 2; HEPES, 20; pH 7.2, 310 mOsm with sucrose. To reduce outward currents, we used an N-methyl-D-glucamine (NMDG)-based internal solution containing in mM: NMDG, 140; EGTA, 5; MgCl2, 2; CaCl2, 0.1; K2ATP, 2; HEPES, 20; pH 7.2, 310 mOsm. The external solution for recording Ba2+ currents contained in mM: tetraethylammonium (TEA) Br, 160; KCl, 3; NaHCO3, 1.0; MgCl2, 1.0; HEPES, 10; glucose, 4; BaCl2, 1,or 2 as indicated, pH 7.4, 320 mosM with sucrose. 1 mM extracellular Ba2+ was the charge carrier. When used, 1 μM ω-CTX was applied by local perfusion. An Axopatch 1D or Axon 200B amplifier was used, and whole cell voltage-clamp recordings were sampled at 10 kHz frequency, filtered at 2 kHz and digitized at 1 kHz. 70%–80% series resistance compensation was applied and all recorded currents were leak subtracted using P/8 protocol. Membrane potential was held at – 80 mV, unless stated. Analysis was performed using Pclamp 9 (Molecular Devices) and Origin 7 (Microcal Origin, Northampton, MA). Current-voltage (I-V) relationships were fit by a modified Boltzmann equation as follows: I = Gmax(V-Vrev)/(1+exp(-(V-V50, act)/k)), where I is the current density (in pA/pF), Gmax is the maximum conductance (in nS/pF), Vrev is the apparent reversal potential, V50, act is the midpoint voltage for current activation, and k is the slope factor. The amplitude of tail currents was measured from the current present upon repolarization to −50 mV from a 20 ms test pulse between −50mV and +70 mV from −100mV holding potential. The activation curve obtained from tail currents was fitted with Boltzmann function.

Quantification and Statistical Analysis

Data were analyzed with GraphPad Prism 7 (GraphPad software, San Diego, CA) or Origin-Pro 2015 (OriginLab Corporation, Northampton, MA, USA). All data are shown as mean ± SEM; “n” refers to number of cells, unless indicated otherwise, and is given in the figure legends, together with details of statistical tests used. Experiments where representative data are shown were repeated at least 3 times, unless otherwise stated. Graphpad Prism 7 was used for statistical analysis. Statistical significance between two groups was assessed by Student’s t test, as stated. One-way ANOVA and the stated post hoc analysis was used for comparison of means between three or more groups.

Data and Code Availability

This study did not generate/analyze datasets or code.

Acknowledgments

This work was supported by a Wellcome Investigator award to A.C.D. (206279/Z/17/Z). J.O.M. was supported in part by the University College London (UCL) Grand Challenges PhD program. T.P., P.Z., and P.L. were undergraduate students at UCL. P.L. was supported by a UCL Alumni summer scholarship.

Author Contributions

P.Z., T.P., P.L., J.I.J.E., W.S.P., and K.M.P. made cDNA constructs. L.F. developed hippocampal cultures and transfection methods and performed experiments in Figure 6. S.D. performed all electrophysiology, except S.W.R. obtained initial data shown in Figure S1. J.O.M., J.I.J.E., P.Z., K.M.P., and S.D. performed imaging studies and analysis. I.K. performed biochemistry experiments. A.C.D. conceived the study and wrote the manuscript, aided by all the other authors.

Declaration of Interests

The authors declare no competing interests

Published: October 1, 2019

Footnotes

Supplemental Information can be found online at https://doi.org/10.1016/j.celrep.2019.08.079.

Supplemental Information

Document S1. Figures S1–S6 and Tables S1 and S2
mmc1.pdf (1.1MB, pdf)
Document S2. Article plus Supplemental Information
mmc2.pdf (5.2MB, pdf)

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Document S1. Figures S1–S6 and Tables S1 and S2
mmc1.pdf (1.1MB, pdf)
Document S2. Article plus Supplemental Information
mmc2.pdf (5.2MB, pdf)

Data Availability Statement

This study did not generate/analyze datasets or code.

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