Abstract
CACNA1I is a candidate schizophrenia risk gene. It encodes the pore-forming human CaV3.3 α1 subunit, a subtype of voltage-gated calcium channel that contributes to T-type currents. Recently, two de novo missense variations, T797M and R1346H, of hCaV3.3 were identified in individuals with schizophrenia. Here we show that R1346H, but not T797M, is associated with lower hCaV3.3 protein levels, reduced glycosylation, and lower membrane surface levels of hCaV3.3 when expressed in human cell lines compared to wild-type. Consistent with our biochemical analyses, whole-cell hCaV3.3 currents in cells expressing the R1346H variant were ~50% of those in cells expressing WT hCaV3.3, and neither R1346H nor T797M altered channel biophysical properties. Employing the NEURON simulation environment, we found that reducing hCaV3.3 current densities by 22% or more eliminates rebound bursting in model thalamic reticular nucleus (TRN) neurons. Our analyses suggest that a single copy of Chr22: 39665939G > A CACNA1I has the capacity to disrupt CaV3.3 channel-dependent functions, including rebound bursting in TRN neurons, with potential implications for schizophrenia pathophysiology.
CACNA1I encodes the pore-forming hCaV3.3 α1 subunit, one of three major CaV3 voltage-gated calcium (CaV) channels that contribute to low threshold T-type currents. Compared to CaV channels, CaV3 have low voltage-activation thresholds, rapid inactivation, and slow closing rates1. Of the three-member CaV3 family, CaV3.3 channels have the most depolarized activation thresholds; and they open as well as inactivate and close slowly2.
CaV3.3 channels are expressed in a limited subset of neurons including GABAergic neurons of the thalamic reticular nucleus (TRN) where they support oscillatory activity essential for sleep spindle generation3,4,5,6. In TRN neurons, CaV3.3 channels are mostly inactivated at resting membrane potentials and mediate the rebound bursting upon transient membrane hyperpolarizations7,8. Rebound bursting in TRN neurons is largely absent in mice lacking CaV3.3 channels, and sleep spindle generation is disrupted6,9. Sleep spindle abnormality, as well as altered patterns of neuronal activity in the thalamus, are found in people with schizophrenia, suggesting thalamocortical network dysfunction10,11,12,13,14.
Genetic analyses of large patient cohorts have identified loci associated with the risk of mental illnesses including schizophrenia, autism spectrum disorder and bipolar disorder15,16,17,18,19. Several of these candidate risk genes encode proteins involved in calcium signaling, including voltage-gated calcium channel subunits (CACNA1C, CACNB2 and CACNA1I), that may ultimately converge on a common disease mechanism17,19,20,21,22,23,24. Biological insight derived from psychiatric-associated common genetic variations is currently limited to a few studies25,26,27,28,29; causative risk alleles can be difficult to localize precisely within GWAS loci, and many map to non-coding regions of as yet undefined functions25,30. Recently, two rare, de novo missense variations, Chr22: 39659492C > T and Chr22: 39665939G > A, were identified in CACNA1I by exome sequencing of trio samples that include 105 schizophrenia probands. CACNA1I was the only gene in this cohort to harbor missense variations in more than one proband31. The resulting amino acid alterations, T797M and R1346H (numbered according to NM_021096 but equivalent to R1311H NM_00100340631), are predicted to reside in extracellular regions of domains II and III of hCaV3.3. CACNA1I was validated as a candidate schizophrenia risk gene, in a genome wide association study by the Schizophrenia Working Group of the Psychiatric Genomics Consortium as one of 108 independent genomic loci that exceed genome-wide significance19. These studies emphasize the need for functional studies of rare missense, exome variations in CACNA1I that associate with schizophrenia risk25,31,32.
Here we use biochemical and electrophysiological assays in the HEK293 cell expression system, to show that R1346H hCaV3.3 variant has reduced glycosylation and cell surface expression compared to hCaV3.3 wild-type, without altered biophysical properties. In contrast, T797M did not affect hCaV3.3 channel properties in our assays. Employing NEURON to simulate TRN neuron excitability, we show that R1346H disrupts rebound bursting mediated by CaV3.3 channels.
Materials and Methods
Mutagenesis
T797M and R1346H were introduced on an SbfI-HindIII fragment of FLAG-tagged WT hCaV3.3 cDNA (Origene, RC219179) and sub-cloned into pcDNA5/FRT/TO vector (Thermo Fisher Scientific) to generate full-length FLAG-tagged hCaV3.3 cDNAs. Mutagenesis primers were for T797M: 5′-CACGGACACTGGAGACATGGTGCCCG/5′-TCGGGCACCATGTCTCCAGTGTCGGTG, and for R1346H: 5′-GCAACATCACCAACCACTCGGACTGC/5′-GCCATGCAGTCCGAGTGGTTGGTGAT. All constructs used in this study were sequence verified.
Single copy cDNA, stable integration in HEK293 cells
The Flp-In T-REx system selects for clones containing single copy integration of cDNAs thereby reducing variability in CaV3.3 protein expression levels among cells and across cell lines. Parental Flp-In T-REx HEK293 cells (Thermo Fisher, R78007) were transfected with pcDNA5/pFRT/TO vectors containing WT, T797M or R1346H hCaV3.3 cDNAs, and pOG44 vector encoding FLP recombinase (Thermo Fisher, K650001) in 1:9 ratio using Lipofectamine 2000 (Invitrogen). Cells were cultured in DMEM/F12 supplemented with 10% FBS. Single cDNA insertion events were selected after two weeks in 200 μg/mL hygromycin B (Invitrogen) and resistant polyclonal cell lines (10–20 colonies) expanded and maintained with 200 μg/mL hygromycin B and 15 μg/mL blasticidin S (Invitrogen). hCaV3.3 channel expression was induced by 1 μg/mL doxycycline and all analyses (including electrophysiology) were performed 72 hours after induction (unless otherwise indicated). At 72 hours CaV3.3 channel protein levels plateaued. cDNA integration in each cell line was validated with Sanger sequencing of the insertion locus.
Reverse transcription and quantitative PCR
Total RNA from each cell line was harvested using RNAeasy Plus (Qiagen). 10 μg of total RNA was reverse-transcribed and cDNA synthesized using random hexamer priming (Transcriptor cDNA synthesis, Roche). FastStart Universal SYBR Green 2X Master Mix (Roche) was used to perform quantitative PCR for hCaV3.3 (CACNA1I: 5′CAATGGACTGGATGCTGTTG/5′ATCCAGGGGTTGTGGTTG) and β-actin (ACTB: 5′CCAACCGCGAGAAGATGA/5′CCAGAGGCGTACAGGGATAG). CACNA1I mRNA in each cell line was analyzed by the relative quantitation of gene expression method and using ACTB that encodes β-actin as the reference control gene (ΔΔCt method)33. Threshold amplification cycle (CT) values were obtained for target (CACNA1I) and internal control (ACTB) to calculate ∆CT (CT target–CT reference), and ΔΔCt calculated before and after induction of CACNA1I by doxycycline treatment. We carried out 3–4 technical replicates, from three independent cell culture and dox-induction step (biological triplicates). The biological variability in our RT-qPCR experiments stems primarily from different overall levels of mRNA induction across biological replicates.
Immunoblotting
Whole cell lysates of Flp-In T-REx HEK293 cells expressing WT, T797M or R1346H hCav3.3 channels were prepared as previously described34. Electrophoresis samples were prepared in 4x Laemmli buffer (Bio-Rad) and incubated at room temperature for 20 minutes before SDS-PAGE (3–8% tris-acetate gel, Life Technologies). Antibodies: mouse anti-FLAG (1:1000, Sigma F1804); rabbit anti-GAPDH (1:1000, Cell Signaling Technology 14C10); mouse anti-β-actin (1:50000, Sigma A5441); rabbit anti-pan-cadherin (1:1000, Life PA5-17526). Anti-GAPDH or anti-β-actin signals were used as reference signals to normalize across preparations and also as gel loading controls.
Cell-Surface Biotinylation
hCav3.3 protein expression was induced in transformed Flp-In T-REx HEK293 cells with 4 day treatment of 1 μg/mL doxycycline. Cells were then washed three times with solution A (see below) and incubated with 1.5 mg/mL EZ Link Sulfo-NHS-SS Biotin (Life Technologies) for 20 min at 4 °C. The labeling reaction was quenched with 3 × 5 min BSA/L-lysine solution, and the cell preparation washed twice at 4 °C for 5 min with solution A. Cells were lysed on ice with 200 μL of PB/SDS and 1 mL of PB/Triton, sonicated for 5 min at 30 on/30 off intervals in a Bioruptor bath sonicator (Diagenode), and centrifuged at 13000 rpm for 15 minutes. Biotinylated lysates were incubated with NeutrAvidin beads (Thermo Fisher Scientific) under constant rotation for 2 hours, centrifuged at 2000 rpm for 30 s, and then beads were washed sequentially with 2 × 1 mL PB/Triton, 2 × 1 mL PB/Triton/600, and 2 × 1 mL of PB. Protein bound to NeutraAvidin beads was eluted for 20 minutes at RT°C with 2x Laemmli buffer (Bio-Rad) and β-mercaptoethanol. Input and eluate samples were analyzed by immunoblotting. Solution A: 7.74 mM Na2HPO4, 2.26 mM NaH2PO4, 2.7 mM KCl, 137 mM NaCl, 1 mM CaCl2, 0.5 mM MgCl2. BSA/lysine quenching solution: 0.5% BSA, 50 mM L-lysine-H2O in PBS/Ca/Mg, pH 7.4; PB: 7.74 mM Na2HPO4, 2.26 mM NaH2PO4, 5 mM EDTA, 5 mM EGTA, 100 mM NaCl, 10 mM Na4P2O7, 50 mM NaF, 1 mM Na3VO4; PB/SDS: PB, 1% SDS; PB/Triton: PB, 1% Triton; PB/Triton/600: PB,1% Triton, 600 mM NaCl.
The protein measurements for T797M and R1346H channels have similar dispersion, and scales proportionally to the absolute values. The coefficient of variation (CV) for whole cell protein level for R1346H is 40% compared to 31% for T797M. Using 1000 bootstrapping samples we estimated that the 95% confidence interval for T797M CV is (0.21,0.42), while the 95% CI for R1346H CV is (0.26, 0.54). The 95% confidence interval for the difference in CV between T797M and R1346H is (−0.26, 0.09)–not different from 0–indicating that the data dispersion between T797M and R1346H is statistically equivalent.
Deglycosylation
Deglycosylation was performed on input or eluate samples with Protein Deglycosylation Mix (New England Biolabs). Briefly, 60 μg of total protein (input) or biotin labeled membrane protein (eluate) was denatured in Glycoprotein Denaturing Buffer for 20 minutes at RT. The denatured protein was then treated with either buffer alone (control) or with the Deglycosylation Enzyme Cocktail (PNGase F, O-Glycosidase, Neuraminidase, Galactosidase, and β-N-acetylglucosaminidase) for 1 hour at 37 °C in a solution of 50 mM sodium phosphate and 1% NP-40. Samples were analyzed by immunoblotting.
Conventional electrophysiology
Voltage-gated calcium currents (CaV) were only resolved in Flp-In T-REx HEK293 cells after, and not before, doxycycline induction of wild-type or mutant hCaV3.3 cDNA. Whole-cell patch clamp recordings were used to compare hCaV3.3 channel currents in doxycycline treated Flp-In T-REx HEK293 cells carrying a single copy of exogenous wild-type or mutant hCaV3.3 cDNA. Recordings were performed as previously reported35,36. The macroscopic CaV3.3 currents recorded in this expression system originate from the gating of CaV3.3 channels: we have never recorded CaV currents in untransfected tsA201, HEK293 or Flp-In T-REx HEK293 cells under the recording conditions used in this study (see also refs 35,37, 38, 39). Wild-type macroscopic CaV3.3 currents shown here have all the properties of CaV3.3 currents and the peak current is about 60 pA/pF, equivalent to ~ 700–750 pA, with only 2 mM calcium as the charge carrier. The properties of the macroscopic as well as single CaV3.3 channel currents are completely consistent with previously published data e.g.2,40.
Whole-cell external recording solution contained: 2 mM CaCl2, 10 mM HEPES, 140 mM NaCl, pH adjusted to 7.2 with NaOH and the intracellular pipette solution contained: 126 mM CsCl, 10 mM EGTA, 1 mM EDTA, 10 mM HEPES, 4 mM MgATP, pH 7.2 with CsOH. Whole-cell hCaV3.3 currents were evoked by square step depolarizations from a holding potential of −100 mV. Currents were leak subtracted online using a P/−4 protocol. Currents recorded with Axopatch 200B amplifier (Molecular Devices, LLC) were sampled at 20 kHz and filtered at 2 kHz. For single-channel recordings, we used the HEK293-derived cell line tsA201 transiently expressing wild-type or mutant hCaV3.3 cDNA for 48 hrs. We used a pipette solution for single channel recording which is optimized to isolate CaV currents: 110 mM BaCl2, 2 mM CsCl, 10 mM HEPES, pH adjusted to 7.2 with Ba(OH)2 and the extracellular bath solution contained: 135 mM potassium aspartate, 10 mM EGTA, 5 mM HEPES, 5 mM KCl, pH adjusted to 7.2 with KOH (see refs 35,37, 38, 39). The high potassium extracellular solution effectively clamps the membrane potential to 0 mV eliminating contributions of the membrane potential to the transmembrane patch voltage. To reduce electrode capacitance in single channel recording, pipettes were coated with Sylgard 184 (Dow Corning, Co) and polished to resistances of 5–8 MΩ. Single channel currents recorded using Axopatch 200B amplifier (Molecular Devices, LLC) were sampled at 10–20 kHz and filtered at 1 kHz. Clampfit10 software (Molecular Devices, LLC) was used for single channel analyses. Leak subtraction was performed offline using a noiseless stimulated null trace. All recordings were obtained at room temperature.
Properties of single CaV3.3 channel currents
The estimated reversal potential for current flow through single CaV3.3 channels was positive to 0 mV, the single channel conductance estimated from the single channel current voltage relationship was consistent with single channel conductance measurements for CaV3, and CaV3.3 specifically e.g2,40; single CaV channel currents exhibited classic slow closing kinetics during the repolarization step2; and we have never resolved single CaV channel currents in tsA201 cells in un-transfected cells35,37.
Experimental Design
All data were acquired without knowledge of clone identity, all analyses were done before revealing clone identity, and the experimenter interleaved recordings from cells expressing different clones on each experimental day. To compare current amplitudes across cells, we converted to current density (pA/pF) to normalize for cell size. In high throughput electrophysiology, cell capacitance is not measured but the much larger sample sizes (>100) add statistical power and compensate for the relatively small variation in size among HEK293 cells. Peak currents evoked by depolarizing pulses were used to generate current voltage relationships. These were fit with the sum of a Goldmann-Hodgkin-Katz flux equation (ϕ) and an exponential function to model the shape of inward and outward unitary conductance, multiplied by a single Boltzmann function to summarize gating.
The following were held constant: R, the gas constant; F, Faraday’s constant; [S]i, internal Ca2+ (100 nM); [S]o, external Ca2+ (2 mM); z, valency of permeant ion (2); T, temperature (18 °C). We measure total whole-cell capacitance and estimate cell size using 1 μF/cm2.
High throughput electrophysiology
Recordings from doxycycline-induced Flp-In T-REx HEK293 cells expressing hCav3.3 channels were performed using Ion-works Barracuda by ChanTest, Charles River41. Briefly, cells were harvested, washed and re-suspended in HEPES-buffered physiological saline before adding to the single-hole 384-well patch plate. External recording solution contained: 137 mM NaCl, 4 mM KCl, 7 mM CaCl2, 1 mM MgCl2, 10 mM HEPES, and 10 mM glucose, pH adjusted to 7.4 with NaOH. The internal solution contained 90 mM CsF, 50 mM CsCl, 2 mM MgCl2, 0.5 mM EGTA, and 10 mM HEPES, pH 7.2 adjusted with CsOH. Membrane currents were recorded with on-board patch clamp amplifiers, after establishing whole-cell configuration using amphotericin B (100 μg/ml). Peak current amplitudes measured from cells expressing hCaV3.3 WT, T797M and R1346H were fit to a bimodal distribution comprising two log-normal functions (sub-distributions) of different scale and shape factors. Descriptors of interest, the Bernoulli parameter and the median of the larger sub-distribution were determined by finding the parameters that maximize the likelihood of the data (maximum-likelihood estimates). To determine confidence intervals, a bootstrap procedure was used: the fitting algorithm was repeated for each resampling of the data.
Simulations of TRN neuron activity in NEURON environment
We used the Huguenard lab model of TRN neuron bursting7 in the NEURON simulation environment (Accession number 17663, ModelDB42) and adapted the code into Python for analysis. We used a detailed, 80-compartment model of the dendritic arbor of a TRN neuron, with CaV3.3 currents primarily concentrated in distal dendrites. Dendritic location of CaV3.3 currents best captures the native firing pattern of TRN neurons7. All parameters were set at the default values except we varied the maximum conductance of CaV3.3 channels between 40–120%7. Simulations of membrane voltage responses at soma were recorded during a series of 200 ms hyperpolarizing (−0.1 to −0.4 nA) or depolarizing (0–0.4 nA) current steps. The temperature was set at 36 °C.
Results
hCaV3.3 expression is disrupted by R1346H
We set out to test if two rare schizophrenia risk variations, identified in CACNA1I from exome sequencing of trio samples19, disrupt CaV3.3 channel function as assessed in HEK cell line expression systems. Figure 1a,b illustrate the approximate location of amino acids T797 and R1346 in putative extracellular loops that link transmembrane helices 5 and 6 in domains II and III, respectively. We used Flp-In T-REx HEK293 cells that harbor inducible, single-copy stable integration of cDNAs encoding C-terminus FLAG-tagged WT, T797M, or R1346H, to investigate hCaV3.3 function. These cells do not express endogenous CaV3.3 channels. The anti-FLAG CaV3.3 signal was only induced following exposure to doxycycline (Fig. 2a, lanes 1–3) and absent in non-induced cells (Fig. 2a, lanes 4–6). Anti-FLAG CaV3.3 signal increased in whole cell lysates prepared from stably transformed cells during 3 days of exposure to doxycycline, and plateaued 72 hours post induction (Fig. 2a, lanes 1–3).
WT hCaV3.3-FLAG protein isolated from whole cell lysates migrates as a doublet at ~250 kDa and >250 kDa (Fig. 2a). The >250 kDa band is glycosylated based on the shift to ~250 kDa after exposing cell lysates to glycosidases (Fig. 2b). We compared total hCaV3.3-FLAG protein levels in lysates from cells expressing WT, T797M and R1346H and found that the hCaV3.3-FLAG signal in cells expressing R1346H was reduced significantly compared to WT (Fig. 2c, compare lanes 1 and 3; Fig. 2d Whole cell, F(2,53) = 89.43, p < 0.0001, one-way ANOVA followed with Dunnett’s test, pWT,R1346H < 0.0001). The relative level of the >250 kDa glycosylated hCaV3.3 signal, as a fraction of the total hCaV3.3 signal, was significantly reduced in cells expressing R1346H compared to WT controls (Fig. 2f, F(2,23) = 10.04, p = 0.014, one-way ANOVA with Dunnett’s post test, pWT, R1346H = 0.0439). By contrast, the total hCaV3.3 signal, and the relative abundance of the glycosylated >250 KDa signal from cells expressing T797M were not significantly different from WT (Fig. 2c, lanes 1 and 2; Fig. 2d, whole cell, one-way ANOVA followed with Dunnett’s test, pWT,T797M = 0.2491; Fig. 2f, one-way ANOVA and Dunnett’s test, pWT, T797M = 0.8318).
Biotinylated, surface hCaV3.3 isolated from cells expressing WT, T797M and R1346H migrates as a single, glycosylated band at >250 kDa (Fig. 2c, lane 4–6). The biotinylated R1346H CaV3.3 signal was significantly lower compared to WT (Fig. 2d, surface, lane 4 and 6, F(2, 20) = 40.78, p = 0.0005, one-way ANOVA and Dunnett’s test, pWT,R1346H < 0.0001), but biotinylated T797M hCaV3.3 was not distinguishable from WT (Fig. 2d, surface, lane 4 and 5, one-way ANOVA and Dunnett’s test, pWT, T797M = 0.5469). Following glycosidase treatment, the surface, biotinylated WT hCaV3.3 signal shifted to a lower molecular weight (Fig. 2e), suggesting that the major fraction of surface hCaV3.3 is glycosylated. We analyzed CaV3.3 mRNA levels in Flp-In T-REx HEK293 cells from three different induced cell cultures, and within each experiment quantified mRNA levels 3–4 times. We found no differences among cells expressing WT, R1346H, and T797M hCaV3.3 (Fig. 2g).
Our data demonstrated that hCaV3.3 protein levels are substantially lower in cells expressing R1346H compared to WT and T797M. The glycosylated R1346H hCaV3.3 protein fraction (>250 kDa) is preferentially reduced relative to WT (Fig. 2f), suggesting that R1346H might interfere with glycosylation and surface trafficking of hCaV3.3.
To compare rates of hCaV3.3 protein decay in cells expressing WT, T797M and R1346H, we treated cells with 0.8 μg/mL puromycin to inhibit protein translation and measured levels of hCaV3.3 protein at different time points. At this concentration and duration of exposure, puromycin had no obvious cellular toxicity43,44. The 250 kDa lower molecular weight hCaV3.3 signal decayed relatively rapidly after protein translation was inhibited and was not detectable after 6 hours of puromycin exposure (Fig. 3a). By contrast, the glycosylation-associated >250 kDa hCaV3.3 signal decayed more slowly and incompletely (Fig. 3a,b). After 48 hrs of exposure to puromycin, the >250 kDa hCaV3.3 signal was reduced ~50% of control levels similarly among three genotypes (Fig. 3b, 48 hr data point, F(2,20) = 2.675, p = 0.0935, one-way ANOVA with Dunnett’s post test, pWT, R1346H = 0.259, pWT, T797M = 0.540). In the first 2 hrs of puromycin treatment, the >250 kDa hCaV3.3 signal increased ~40% and ~30% in cells expressing WT and T797M respectively and the levels were not different between the two conditions (Fig. 3b, 2 hr data point, F(2,20) = 17.6, p < 0.001, one-way ANOVA with Dunnett’s post test, pWT, T797M = 0.859). We observed ~15% reduction in the >250 kDa band in cells expressing R1346H following exposure to puromycin, and the overall protein levels were lower compared to WT (Fig. 3b, 2 hr data point, F(2,20) = 17.6, p < 0.001, one-way ANOVA with Dunnett’s post test, pWT, R1346H = 0.0154). We also showed that GAPDH levels did not decrease following puromycin treatment in cells expressing different CaV3.3 clones over the time course of the experiment (Fig. 3c). Our data suggest that R1346H reduces the net accumulation of glycosylated hCaV3.3 compared to wild-type and does not impact the rates of channel protein decay.
Collectively, our data are consistent with the hypothesis that R1346H interferes with surface trafficking of hCaV3.3 by a mechanism that may involve glycosylation. Two putative N-linked glycosylation sites are within 1 and 4 amino acids of R1346 (N1345 and N1342). Mutations of putative glycosylation sites, N192Q and N271Q in S3-S4 and S5-S6 linkers of domain I of CaV3.2 protein are associated with reduced levels of biotinylated, functional channels on the cell membrane surface45. The glycosylation states of auxiliary subunits of CaV channels have also been reported to influence protein function46,47,48.
hCaV3.3 channel current densities are lower in cells expressing R1346H
We next tested if T797M and R1346H affect the functional properties of hCaV3.3 channels using whole-cell recording from the same Flp-In T-REx HEK293 cells expressing FLAG-tagged hCaV3.3 as described above. We used 2 mM Ca2+ as the charge carrier for conventional whole-cell recording and resolved large CaV3.3 currents that peaked at ~60 pA/pF in cells expressing WT channels. Consistent with our biochemical analyses, hCaV3.3 channel current densities in doxycycline-induced HEK293 cells expressing R1346H, but not T797M, were smaller relative to those in cells expressing WT hCaV3.3, independent of membrane voltage (Fig. 4a). To compare hCaV3.3 currents across a range of voltages, we estimated permeability rates from Boltzmann-GHK fits of individual current voltage data sets from cells expressing WT, R1346H and T797M hCaV3.3 (Fig. 4b; left). Permeability rate was used as a measure of the overall current flow in a cell for a range of voltages (see methods). Permeability rates were ~43.6% lower for hCaV3.3 currents in cells expressing R1346H compared to WT (Fig. 4b; left, pWT,R1346H = 0.00054, Kolmogorov-Smirnov test followed by Bonferroni correction), whereas permeability rates calculated from cells expressing T797M were similar to WT (Fig. 4b; left, pWT,T797M = 0.923, Kolmogorov-Smirnov test followed by Bonferroni correction). Estimates of the membrane potential at which CaV3.3 currents reverse direction were not different in cells expressing WT, R1346H and T797M (Fig. 4b; right, pWT,R1346H = 0.36, pWT,T797M = 0.74, Kolmogorov-Smirnov test followed by Bonferroni correction) suggesting that ion selectivity in hCaV3.3 channels is unchanged by R1346H and T797M.
We next contracted ChanTest to perform unbiased, high throughput electrophysiology using the Flp-In T-REx HEK293 cells expressing hCaV3.3 channels, and data are shown in Fig. 4c (IonWorks Barracuda; Molecular Devices). The large sample sizes, possible from high throughput automated whole-cell analyses, allowed for population analyses of hCav3.3 current densities in cells expressing WT, R1346H or T797M (Fig. 4a,b). Population data, displayed in bee swarm and cumulative frequency plots, illustrate that hCaV3.3 currents in cells expressing R1346H hCaV3.3 are on average 2-fold smaller compared to WT (Fig. 4c). The cumulative frequency relationships for each condition were bimodal, consistent with two populations of Flp-In T-REx HEK293 cells: one expressing and a smaller fraction not expressing hCaV3.3 currents (Fig. 4c). Parameterization of each distribution, allowed by the larger sample size, showed that the percentage of cells not expressing hCaV3.3 current was similar among all variants (WT: 16%, T797M: 16%, R1346H: 20%) and that the median hCaV3.3 current of cells expressing R1346H was ~2-fold relative to WT (Fig. 4c, pWT,R1346H < 0.0001, Kolmogorov-Smirnov test followed by Bonferroni correction). These data are consistent with our findings from conventional whole-cell recording.
Lower hCaV3.3 current densities in cells expressing R1346H could originate from fewer hCaV3.3 channels on the cell surface, from reduced current flow through individual hCaV3.3 channels, when open, or a combination of both. We used high-resolution, low-noise cell-attached patches to measure the rate of ion flow through single hCaV3.3 channels directly (Fig. 5a–c). The amplitude of single hCaV3.3 channel currents was consistent with that reported previously for single CaV3.3 currents2 and indistinguishable among WT, R1346H, and T797M hCaV3.3 recordings over a range of test potentials (~13 pS, 110 mM barium as charge carrier; Fig. 5c, pWT,R1346H = 0.85, and pWT,T797M = 0.53, Kolmogorov-Smirnov test followed by Bonferroni correction). We measured single channel current amplitudes from tail currents to generate the single channel I-V relationship because of the larger current amplitudes (greater driving force) at negative voltages. The slow gating kinetics typical of CaV3.3 currents is illustrated in Fig. 5 from individual traces as well as captured in the ensemble averages. We conclude that the smaller CaV3.3 current densities in cells expressing R1346H reflect reduced numbers of CaV3.3 channels on the cell surface relative to WT, but the amount of current that flows through individual hCaV3.3 channels is unaffected by R1346H.
We completed our assessment of R1346H and T797M hCaV3.3 channel properties not captured by analyses of peak current-voltage relationships, using a series of voltage protocols to evaluate whole-cell currents. We assessed: voltage-dependence from tail current analyses (Fig. 6a–c. V1/2-negative, pWT,R1346H = 0.32, and pWT,T797M = 0.91. V1/2-positive, pWT,R1346H = 0.6, and pWT,T797M = 1.00. Slope (k), pWT,R1346H = 0.52, pWT,T797M = 0.19. Kolmogorov-Smirnov test followed by Bonferroni correction), kinetics of channel activation from −50 to 20 mV voltages (Fig. 6d,e), rate of channel closing as derived from the time constant of the tail current decay (Fig. 6f. τclosing at–60 mV, pWT,R1346H = 0.43, pWT,T797M = 0.97, Kolmogorov-Smirnov test followed by Bonferroni correction), voltage-dependence of channel inactivation (Fig. 7a,b. V1/2, pWT,R1346H = 0.12, pWT,T797M = 0.76. Slope (k), pWT,R1346H = 0.52, pWT,T797M = 0.19, Kolmogorov-Smirnov test followed by Bonferroni correction), and time course of channel inactivation from −50 to 0 mV (Fig. 7c,d). Tail current kinetics provide a measure of the overall rate of channel closing, because the tail potential is below the threshold for channel opening and the slow closing kinetics is a hallmark feature of CaV3 channels, compared to other CaV channels. We conclude from these extensive analyses, that R1346H and T797M do not affect the biophysical properties of hCaV3.3 channels as assessed in human cell lines, including the time course of recovery from inactivation (T797M; data not shown). It is important to note that our analyses, which find T797M has no measurable effect on the basic features of hCaV3.3 channels including expression levels and biophysical properties, do not rule out a potential effect of T797M that depends on the presence of cofactors in the native environment.
R1346H impacts rebound bursting in a model of TRN neuron
In TRN neurons, transient membrane hyperpolarizations can trigger bursts of action potentials, called rebound bursting, immediately upon membrane repolarization7,8 (Fig. 8a). This phenomenon is mediated by activation of dendritic CaV3.3 channels that are recruited from a previously inactivated state when the membrane is hyperpolarized. CaV3.3 underlies 90% of the low threshold, voltage-gated calcium channel expressed in TRN9 and rebound bursting is absent in TRN neurons of mice lacking CaV3.36,9. By simulating TRN neuron excitability in the NEURON environment7 we show that: (i) rebound bursting is highly sensitive to CaV3.3 channel density; (ii) rebound bursting is eliminated when CaV3.3 channel density is reduced to 78% or less of initial WT values (Fig. 8b; black line shows WT relationship); and (iii) firing of TRN neurons evoked by depolarizing current injections is insensitive to changes in dendritic CaV3.3 current densities to 40% of initial WT values (Fig. 8a,c).
To simulate heterozygosity—equal contribution of WT and R1346H alleles—we reduced CaV3.3 current density to 72.5% of WT levels and showed that this reduction in CaV3.3 current density fails to support rebound bursting regardless of hyperpolarization magnitude (Fig. 8a, top three rows). In contrast, firing of TRN neurons, evoked by depolarizing current injections is unaffected by R1346H (Fig. 8a, bottom two rows). The results from NEURON simulation are consistent with the notion that Depolarization-induced firing is primarily mediated by activation of voltage-gated ion channels other than CaV3.3 in TRN8,9.
Discussion
CACNA1I has been identified as a candidate schizophrenia risk gene based on genome wide association studies, and on the identification of de novo, rare missense variations in CACNA1I from exome sequencing of schizophrenia proband trios19,31. Our study is the first to assess the functional impact of two missense CACNA1I variants found in schizophrenia patients, but not in unaffected family members31. Based on our analyses, we find that the de novo coding variant Chr22: 39665939G > A of CACNA1I31, is sufficiently disruptive to CaV3.3 in the heterozygous condition to impact rebound bursting in a TRN model neuron. Our data lend support to the proposal that CaV3.3 R1346H, which is proposed as one of several de novo risk variations that contribute to schizophrenia pathophysiology31, is damaging. We did not find any evidence that the de novo coding variation Chr22: 39659492C > T of CACNA1I (T797M CaV3.3) is disruptive in biochemical and electrophysiological HEK cell assays. However, we cannot rule out the possibility that T797M impacts CaV3.3 channel function by mechanisms that are not reconstituted in HEK cells.
Our findings are interesting in light of documented functional associations between reduced CaV3.3 expression in TRN neurons, rebound bursting of TRN neurons, sleep spindle oscillations, and sleep spindle coherence across cortex in schizophrenia6,10,14,49,50,51. Moreover, reduced spindle activity is a heritable component of the sleep electroencephalogram patterns detected in the 1st degree relatives of people with schizophrenia52.
Our data are consistent with a mechanism by which R1346H interferes with CaV3.3 glycosylation and plasma membrane trafficking leading to reduced CaV3.3 current density. An extracellular N-linked glycosylation motif N1345 (N-x-S/T) encompasses R1346 residue and glycosylation of proteins in the endoplasmic reticulum (ER) is known to influence the rate of protein transport from the ER through the Golgi apparatus to the plasma membrane53. Our studies add to reports that glycosylation of many ion channel proteins, including CaV3.2, regulates their levels of surface expression45,54,55,56,57,58. Several human diseases are known to arise from defects in glycosylation. For example, in cystic fibrosis causal mutations in human CFTR lead to altered glycosylation patterns of CFTR channel protein and channel trafficking defects in lung epithelial cells, and in long QT syndrome, coding mutations in human KCNE and KCNQ lead to reduced potassium ion channel glycosylation and reduced expression in the heart59,60,61,62.
CaV3.3 is essential for rebound bursting in TRN neurons, and we show that reduced CaV3.3 current density in model TRN neurons expressing R1346H is sufficient to disrupt this phenomenon. CaV3.3 is expressed in other brain regions including the cortex and in mitral cell dendrites of the olfactory bulb63. In mitral cells, CaV3.3 contributes to modulation of evoked and asynchronous release, and it mediates rebound bursting63. Deficits in olfaction have, for several years, been described in people with schizophrenia64.
It is widely accepted that schizophrenia disease risk depends on the accumulated effect of multiple or many common risk loci19, but the relative contribution of each individual rare variant to the disease risk is not known17. Rare, coding variations have the greatest potential to disrupt protein function and are likely to make greater contribution to complex common disease risk including schizophrenia17,19,25,30,65. Our experiments were designed to assess the functional consequences of T797M and R1346H on CaV3.3 channel activity in a robust expression system, and they demonstrate that R1346H disrupts CaV3.3 channel trafficking to the plasma membrane. We did not identify a phenotype associated with T797M in our assays of CaV3.3 function and, as discussed above, we cannot rule out the possibility that T797M will be disruptive to CaV3.3 signaling in the native environment, but our analyses should help guide future studies designed to assess the potential contribution of R1346H-CaV3.3 to schizophrenia risk.
Additional Information
How to cite this article: Andrade, A. et al. A rare schizophrenia risk variant of CACNA1I disrupts CaV3.3 channel activity. Sci. Rep. 6, 34233; doi: 10.1038/srep34233 (2016).
Acknowledgments
R21MH099448 and Stanley Center for Psychiatric Research at Broad Institute (JQP), R00MH099405 (AA), NS055251 (DL), 5T32EY018080 & 5T32NS062443 (VY). We thank Dr. Lingling Yang for technical support.
Footnotes
Author Contributions A. Andrade, J.H., A. Allen and V.Y. performed research. A. Andrade, J.H. and A. Allen, V.Y., D.L. and J.Q.P. designed research. A. Andrade, D.L. and J.Q.P. wrote the manuscript.
References
- Perez-Reyes E. Molecular physiology of low-voltage-activated t-type calcium channels. Physiol Rev 83, 117–161 (2003). [DOI] [PubMed] [Google Scholar]
- Lee J. H. et al. Cloning and expression of a novel member of the low voltage-activated T-type calcium channel family. J Neurosci 19, 1912–1921 (1999). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Houser C. R., Vaughn J. E., Barber R. P. & Roberts E. GABA neurons are the major cell type of the nucleus reticularis thalami. Brain Res 200, 341–354 (1980). [DOI] [PubMed] [Google Scholar]
- Liu X. B., Murray K. D. & Jones E. G. Low-threshold calcium channel subunit Ca(v) 3.3 is specifically localized in GABAergic neurons of rodent thalamus and cerebral cortex. J Comp Neurol 519, 1181–1195 (2011). [DOI] [PubMed] [Google Scholar]
- Steriade M. Grouping of brain rhythms in corticothalamic systems. Neuroscience 137, 1087–1106 (2006). [DOI] [PubMed] [Google Scholar]
- Astori S. et al. The Ca(V)3.3 calcium channel is the major sleep spindle pacemaker in thalamus. Proc Natl Acad Sci USA 108, 13823–13828 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Destexhe A., Contreras D., Steriade M., Sejnowski T. J. & Huguenard J. R. In vivo, in vitro, and computational analysis of dendritic calcium currents in thalamic reticular neurons. J Neurosci 16, 169–185 (1996). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huguenard J. R. & Prince D. A. Intrathalamic rhythmicity studied in vitro: nominal T-current modulation causes robust antioscillatory effects. J Neurosci 14, 5485–5502 (1994). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee S. E. et al. Rebound burst firing in the reticular thalamus is not essential for pharmacological absence seizures in mice. Proc Natl Acad Sci USA 111, 11828–11833 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ferrarelli F. & Tononi G. The thalamic reticular nucleus and schizophrenia. Schizophr Bull 37, 306–315 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pinault D. Dysfunctional thalamus-related networks in schizophrenia. Schizophr Bull 37, 238–243 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pratt J. A. & Morris B. J. The thalamic reticular nucleus: a functional hub for thalamocortical network dysfunction in schizophrenia and a target for drug discovery. J Psychopharmacol 29, 127–137 (2015). [DOI] [PubMed] [Google Scholar]
- Vukadinovic Z. Sleep abnormalities in schizophrenia may suggest impaired trans-thalamic cortico-cortical communication: towards a dynamic model of the illness. Eur J Neurosci 34, 1031–1039 (2011). [DOI] [PubMed] [Google Scholar]
- Wamsley E. J. et al. Reduced sleep spindles and spindle coherence in schizophrenia: mechanisms of impaired memory consolidation. Biol Psychiatry 71, 154–161 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cross-Disorder G. O. T. P. G. C. Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet 381, 1371–1379 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fromer M. et al. De novo mutations in schizophrenia implicate synaptic networks. Nature 506, 179–184 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Purcell S. M. et al. A polygenic burden of rare disruptive mutations in schizophrenia. Nature 506, 185–190 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Samocha K. E. et al. A framework for the interpretation of de novo mutation in human disease. Nat Genet 46, 944–950 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schizophrenia W. G. O. T. P. G. C. Biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421–427 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Curtis D. et al. Case-case genome-wide association analysis shows markers differentially associated with schizophrenia and bipolar disorder and implicates calcium channel genes. Psychiatr Genet 21, 1–4 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Heyes S. et al. Genetic disruption of voltage-gated calcium channels in psychiatric and neurological disorders. Prog Neurobiol 134, 36–54 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moskvina V. et al. Gene-wide analyses of genome-wide association data sets: evidence for multiple common risk alleles for schizophrenia and bipolar disorder and for overlap in genetic risk. Mol Psychiatry 14, 252–260 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zamponi G. W. Targeting voltage-gated calcium channels in neurological and psychiatric diseases. Nat Rev Drug Discov 15, 19–34 (2016). [DOI] [PubMed] [Google Scholar]
- International S. C. et al. Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature 460, 748–752 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Heinzen E. L., Neale B. M., Traynelis S. F., Allen A. S. & Goldstein D. B. The genetics of neuropsychiatric diseases: looking in and beyond the exome. Annu Rev Neurosci 38, 47–68 (2015). [DOI] [PubMed] [Google Scholar]
- Limpitikul W. B., Dick I. E., Ben-Johny M. & Yue D. T. An autism-associated mutation in CaV1.3 channels has opposing effects on voltage- and Ca(2+)-dependent regulation. Sci Rep 6, 27235 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pinggera A. et al. CACNA1D de novo mutations in autism spectrum disorders activate Cav1.3 L-type calcium channels. Biol Psychiatry 77, 816–822 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Roussos P. et al. A role for noncoding variation in schizophrenia. Cell Rep 9, 1417–1429 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yoshimizu T. et al. Functional implications of a psychiatric risk variant within CACNA1C in induced human neurons. Mol Psychiatry 20, 162–169 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang X., Bailey S. D. & Lupien M. Laying a solid foundation for Manhattan–’setting the functional basis for the post-GWAS era’. Trends Genet 30, 140–149 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gulsuner S. et al. Spatial and temporal mapping of de novo mutations in schizophrenia to a fetal prefrontal cortical network. Cell 154, 518–529 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schneider-Poetsch T. et al. Inhibition of eukaryotic translation elongation by cycloheximide and lactimidomycin. Nat Chem Biol 6, 209–217 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Livak K. J. & Schmittgen T. D. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 25, 402–408 (2001). [DOI] [PubMed] [Google Scholar]
- Pan J. Q. et al. AKT kinase activity is required for lithium to modulate mood-related behaviors in mice. Neuropsychopharmacology 36, 1397–1411 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Groen J. L. et al. CACNA1B mutation is linked to unique myoclonus-dystonia syndrome. Hum Mol Genet 24, 987–993 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Raingo J., Castiglioni A. J. & Lipscombe D. Alternative splicing controls G protein-dependent inhibition of N-type calcium channels in nociceptors. Nat Neurosci 10, 285–292 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Castiglioni A. J., Raingo J. & Lipscombe D. Alternative splicing in the C-terminus of CaV2.2 controls expression and gating of N-type calcium channels. J Physiol 576, 119–134 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lipscombe D. et al. Spatial distribution of calcium channels and cytosolic calcium transients in growth cones and cell bodies of sympathetic neurons. Proc Natl Acad Sci USA 85, 2398–2402 (1988). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lipscombe D., Kongsamut S. & Tsien R. W. Alpha-adrenergic inhibition of sympathetic neurotransmitter release mediated by modulation of N-type calcium-channel gating. Nature 340, 639–642 (1989). [DOI] [PubMed] [Google Scholar]
- Gomora J. C., Murbartián J., Arias J. M., Lee J. H. & Perez-Reyes E. Cloning and expression of the human T-type channel Ca(v)3.3: insights into prepulse facilitation. Biophys J 83, 229–241 (2002). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kuryshev Y. A., Brown A. M., Duzic E. & Kirsch G. E. Evaluating state dependence and subtype selectivity of calcium channel modulators in automated electrophysiology assays. Assay Drug Dev Technol 12, 110–119 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Migliore M. et al. ModelDB: making models publicly accessible to support computational neuroscience. Neuroinformatics 1, 135–139 (2003). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mbonye U. R. et al. Two distinct pathways for cyclooxygenase-2 protein degradation. J Biol Chem 283, 8611–8623 (2008). [DOI] [PubMed] [Google Scholar]
- Tcherkezian J. et al. Proteomic analysis of cap-dependent translation identifies LARP1 as a key regulator of 5′TOP mRNA translation. Genes Dev 28, 357–371 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Weiss N., Black S. A., Bladen C., Chen L. & Zamponi G. W. Surface expression and function of Cav3.2 T-type calcium channels are controlled by asparagine-linked glycosylation. Pflugers Arch 465, 1159–1170 (2013). [DOI] [PubMed] [Google Scholar]
- Gurnett C. A., De Waard M. & Campbell K. P. Dual function of the voltage-dependent Ca2+ channel alpha 2 delta subunit in current stimulation and subunit interaction. Neuron 16, 431–440 (1996). [DOI] [PubMed] [Google Scholar]
- Price M. G., Davis C. F., Deng F. & Burgess D. L. The alpha-amino-3-hydroxyl-5-methyl-4-isoxazolepropionate receptor trafficking regulator “stargazin” is related to the claudin family of proteins by Its ability to mediate cell-cell adhesion. J Biol Chem 280, 19711–19720 (2005). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sandoval A., Oviedo N., Andrade A. & Felix R. Glycosylation of asparagines 136 and 184 is necessary for the alpha2delta subunit-mediated regulation of voltage-gated Ca2+ channels. FEBS Lett 576, 21–26 (2004). [DOI] [PubMed] [Google Scholar]
- Ferrarelli F. et al. Thalamic dysfunction in schizophrenia suggested by whole-night deficits in slow and fast spindles. Am J Psychiatry 167, 1339–1348 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Göder R. et al. Impairment of sleep-related memory consolidation in schizophrenia: relevance of sleep spindles. Sleep Med 16, 564–569 (2015). [DOI] [PubMed] [Google Scholar]
- Manoach D. S. et al. Reduced overnight consolidation of procedural learning in chronic medicated schizophrenia is related to specific sleep stages. J Psychiatr Res 44, 112–120 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Manoach D. S. et al. Sleep spindle deficits in antipsychotic-naïve early course schizophrenia and in non-psychotic first-degree relatives. Front Hum Neurosci 8, 762 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lodish H. et al. Molecular Cell Biology. 4th Edition. (W.H. Freeman, New York, 2000). [Google Scholar]
- Estévez R. & Jentsch T. J. CLC chloride channels: correlating structure with function. Curr Opin Struct Biol 12, 531–539 (2002). [DOI] [PubMed] [Google Scholar]
- Gong Q., Anderson C. L., January C. T. & Zhou Z. Role of glycosylation in cell surface expression and stability of HERG potassium channels. Am J Physiol Heart Circ Physiol 283, H77–H84 (2002). [DOI] [PubMed] [Google Scholar]
- Khanna R., Myers M. P., Lainé M. & Papazian D. M. Glycosylation increases potassium channel stability and surface expression in mammalian cells. J Biol Chem 276, 34028–34034 (2001). [DOI] [PubMed] [Google Scholar]
- Riordan J. R. Assembly of functional CFTR chloride channels. Annu Rev Physiol 67, 701–718 (2005). [DOI] [PubMed] [Google Scholar]
- Shi G. et al. Beta subunits promote K+ channel surface expression through effects early in biosynthesis. Neuron 16, 843–852 (1996). [DOI] [PubMed] [Google Scholar]
- Akhavan A. N- and O-linked glycosylation coordinate cell-surface localization of a cardiac potassium channel. J Physiol 589, 4647–4648 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ntimbane T. et al. Cystic fibrosis-related diabetes: from CFTR dysfunction to oxidative stress. Clin Biochem Rev 30, 153–177 (2009). [PMC free article] [PubMed] [Google Scholar]
- O’Riordan C. R., Lachapelle A. L., Marshall J., Higgins E. A. & Cheng S. H. Characterization of the oligosaccharide structures associated with the cystic fibrosis transmembrane conductance regulator. Glycobiology 10, 1225–1233 (2000). [DOI] [PubMed] [Google Scholar]
- Smith J. L. et al. Trafficking-deficient hERG K+channels linked to long QT syndrome are regulated by a microtubule-dependent quality control compartment in the ER. Am J Physiol Cell Physiol 301, C75–C85 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fekete A., Johnston J. & Delaney K. R. Presynaptic T-type Ca2+ channels modulate dendrodendritic mitral-mitral and mitral-periglomerular connections in mouse olfactory bulb. J Neurosci 34, 14032–14045 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kopala L. C., Good K. P., Torrey E. F. & Honer W. G. Olfactory function in monozygotic twins discordant for schizophrenia. Am J Psychiatry 155, 134–136 (1998). [DOI] [PubMed] [Google Scholar]
- Zuk O. et al. Searching for missing heritability: designing rare variant association studies. Proc Natl Acad Sci USA 111, E455–E464 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]