Abstract
Summary:
Autism spectrum disorder (ASD) is strongly associated with de novo gene mutations. One of the most commonly affected genes is SCN2A. ASD-associated SCN2A mutations impair the encoded protein NaV1.2, a sodium channel important for action potential initiation and propagation in developing excitatory cortical neurons. The link between an axonal sodium channel and ASD, a disorder typically attributed to synaptic or transcriptional dysfunction, is unclear. Here, we show NaV1.2 is unexpectedly critical for dendritic excitability and synaptic function in mature pyramidal neurons, in addition to regulating early developmental axonal excitability. NaV1.2 loss reduced action potential backpropagation into dendrites, impairing synaptic plasticity and synaptic strength, even when NaV1.2 expression was disrupted in a cell-autonomous fashion late in development. These results reveal a novel dendritic function for NaV1.2, providing insight into cellular mechanisms likely underlying circuit and behavioral dysfunction in ASD.
eTOC Paragraph:
Haploinsufficiency in the gene SCN2A, which encodes the sodium channel NaV1.2, has strong autism association. Spratt et al. show that Scn2a contributes to dendritic excitability in mature neocortical pyramidal cells, where its loss impairs excitatory synaptic function and plasticity.
Graphical abstract
Introduction:
High-throughput sequencing has implicated numerous genes in autism spectrum disorder (ASD) (Sanders et al., 2015). These genes cluster into two groups: chromatin modifiers and genes that support synaptic function (De Rubeis et al., 2014; Sanders et al., 2015). Surprisingly, SCN2A, the gene with the most robust ASD association (Ben-Shalom et al., 2017; Sanders et al., 2012; Satterstrom et al., 2018), does not readily fit within either group. SCN2A encodes the protein NaV1.2, a voltage-gated sodium channel known to be expressed in the axon initial segment (AIS), an axonal subcompartment adjacent to the soma that is the site of action potential (AP) initiation (Bender and Trussell, 2012; Kole and Stuart, 2012). Interestingly, SCN2A variants with different effects on channel function are associated with distinct neurodevelopmental disorders. Heterozygous loss of function variants (haploinsufficiency) in SCN2A that diminish or eliminate channel function are strongly associated with ASD as well as intellectual disability (ID), whereas gain of function missense variants are strongly associated with infantile epilepsy of varying severity (Begemann et al., 2019; Ben-Shalom et al., 2017; Sanders et al., 2018; Wolff et al., 2017). While neuronal hyperexcitability due to gain-of-function SCN2A variants likely contributes to infantile epilepsy, the neuropathological mechanisms underlying the strong association between SCN2A loss of function and ASD/ID remains largely unknown.
In neocortex, NaV1.2 is primarily expressed in glutamatergic pyramidal cells (Hu et al., 2009; Li et al., 2014; Yamagata et al., 2017), where its distribution within different axonal compartments changes over development. In the first postnatal week in mice, corresponding to late gestation through the first year of life in humans (Workman et al., 2013), NaV1.2 is the only sodium channel isoform expressed in the axon and AIS, and is thus solely responsible for the initiation and propagation of action potentials (Gazina et al., 2015). Later in development, NaV1.2 in the axon and distal AIS is replaced by NaV1.6 (SCN8A), which has a lower voltage threshold for activation (Bender and Trussell, 2012; Kole and Stuart, 2012). Consequently, the distal AIS becomes the site of AP initiation and NaV1.2, now restricted to the proximal AIS, is thought to promote effective backpropagation of APs from the AIS into the soma (Hu et al., 2009). Given these potentially distinct developmental roles, it is critical to understand how SCN2A haploinsufficiency affects neuronal excitability and network function across development, as this may shed light on ASD and ID etiology.
Here, we examined cellular, synaptic, and behavioral consequences of heterozygous loss of Scn2a in mice (Scn2a+/−). AP initiation was impaired in early development, consistent with a major role for Scn2a in axonal excitability. Unexpectedly, we identified deficits in somatodendritic excitability, consistent with the expression of NaV1.2 channels throughout these compartments, that arose after early development and persisted throughout life. Furthermore, postsynaptic features of excitatory synapses on Scn2a+/− neurons were both functionally and structurally altered in adulthood, with morphological and electrophysiological features reminiscent of less mature synapses. Synaptic impairments were found even when Scn2a expression was disrupted late in development, selectively impairing dendritic excitability without a period of reduced axonal excitability. Reduced dendritic excitability impaired the backpropagation of action potentials into distal dendrites, with corresponding deficits in spike-timing dependent plasticity. Finally, we observed sex-specific trends toward deficits in learning and sociability in Scn2a+/− mice. Together, these results identify a novel role for NaV1.2 in the dendrites of mature pyramidal neurons, demonstrating that NaV1.2 contributions to dendritic, and not only axonal, excitability are important for proper synaptic development and function. This generates the hypothesis that SCN2A contributes to ASD and ID by disrupting synaptic function, like many other ASD genes, and that these effects persist in mature neurons.
Results:
Scn2a loss impairs axonal and dendritic excitability in distinct developmental periods.
To determine how Scn2a haploinsufficiency affects cortical neuron excitability, acute slices containing medial prefrontal cortex (mPFC) were prepared from Scn2a+/− and wild-type (WT) littermate control mice aged postnatal day (P)4 through P64. Scn2a+/− mice have a 50% reduction in NaV1.2 mRNA, have reduced NaV-mediated currents in dissociated cell culture at P5–9 (Planells-Cases et al., 2000), and are convulsive-seizure free (Mishra et al., 2017; Ogiwara et al., 2018), consistent with the majority of Scn2a loss-of-function cases reported in ASD (Sanders et al., 2018). We focused our studies primarily on subcortically projecting layer 5b thick-tufted neurons that were identified based on electrophysiological properties (Clarkson et al., 2017; Dembrow et al., 2010; Gee et al., 2012) (see Methods), as dysfunction within this region and cell class has been implicated in ASD (Willsey et al., 2013). Neuronal excitability was assessed using a series of current steps to generate APs. AP threshold was depolarized and spike output was reduced relative to WT in the first postnatal week (Fig. 1A, C, F). Differences between Scn2a+/− and WT were not present thereafter (Fig. 1B, C, F), consistent with increased NaV1.6 expression in the AIS. In agreement, persistent sodium currents, which reflect the recruitment of AIS sodium channels with the lowest threshold (Taddese and Bean, 2002), were suppressed in Scn2a+/− mice at P6, but not at P30 (Fig. S1A–G). Furthermore, axonal conduction, assayed by imaging AP-evoked calcium transients in boutons, was reliable in both immature and mature neurons (Fig. S2). Input resistance was comparable between Scn2a+/− and WT at all ages, and transient and sustained potassium currents were not different in both immature and mature neurons (Fig. S1H–K). Therefore, Scn2a haploinsufficiency impairs neuronal excitability early in development without functional compensation from the remaining Scn2a allele or other ion channels involved in AP initiation.
Figure 1: Scn2a haploinsufficiency impairs different aspects of neuronal excitability across developmental periods.
A: Left, 2-photon laser scanning microscopy (2PLSM) z-stack of developing pyramidal cell (P7). Right, APs generated by current injection (12–44 pA, 300 ms) in Scn2a+/+ (black) and Scn2a+/− (cyan) cells. AP data from neurons recorded at P4.
B: Left, 2-photon z-stack of mature thick-tufted pyramidal cell. Right, AP response as in (A).
C: APs (spikes) per 300 ms stimulation epoch for each current amplitude. At P4, Scn2a+/− are less excitable (Firing rate slope between 4–44 pA, Scn2a+/+: 0.67 ± 0.07 APs/pA*s, n = 9 cells; Scn2a+/: 0.41 ± 0.07, n = 9 cells, *: p = 0.02, Mann-Whitney). At >P60, no differences are observed between Scn2a+/+ and Scn2a+/− cells (Slope between 50–350 pA: Scn2a+/+: 0.08 ± 0.007 APs/pA*s, n = 12 cells; Scn2a+/−: 0.08 ± 0.005, n = 14 cells, p = 0.96, Mann-Whitney).
D: An AP is plotted as voltage vs. time (top) and dV/dt vs voltage (phase-plane plot, bottom). Different phases of the AP are color-coded across panels to indicated different phases of the AP corresponding to initiation of AP in AIS and full detonation of AP in soma.
E: Phase-plane plots at P4, P7, P10, and >P60 in Scn2a+/+ and Scn2a+/− cells. Note recovery of AP threshold (kink) deficit between P4 and P10, and decrements in peak dV/dt that become more pronounced with age.
F: Top: AP threshold across development from P4–64 (log2 scale for age) in Scn2a+/+ (black) and Scn2a+/− (cyan) mice. Bottom: Peak rising phase dV/dt vs. age. Circles and bars are mean ± SEM within an age group (n = 7–28 cells per group). Data fit with a generalized logistic function with 95% confidence intervals determined from fits to single cells. *: difference in parameters of the sigmoid fits. Top: Left asymptote, Scn2a+/+: −44.1 ± 0.6 mV, Scn2a+/− −35.6 ± 1.6, p < 0.001, unpaired t-test. Bottom: Right asymptote, Scn2a+/+: 587.8 ± 10.2 V/s, Scn2a+/−: 420.3 ± 9.5, p < 0.001, unpaired t-test.
Although impairments in AP threshold recovered after P7, a closer examination of the AP waveform revealed a striking reduction in the velocity of the AP (dV/dt) that became more pronounced as neurons matured (Fig. 1E–F) (>P22, WT: 578.2 ± 9.2 V/s, n = 44 cells; Scn2a+/−: 417 ± 9.5, n = 33 cells; p < 0.001, Mann-Whitney). Similar relative deficits were identified in putative thin-tufted neurons, which have different AP waveform characteristics compared to thick-tufted neurons (Dembrow et al., 2010) (>P18: WT: 426.9 ± 24.7 V/s, n = 8 cells; Scn2a+/−: 358 ± 21.1, n = 9 cells; p = 0.007, Mann-Whitney). Plotting AP velocity as a function of voltage (phase-plane) highlights two components of the rising phase of the AP (Fig. 1D), as measured with somatic current-clamp. The first relates to the initiation of the AP in the AIS and the second to the recruitment of somatic sodium channels (Bean, 2007). In Scn2a+/− cells, both AIS and somatodendritic components of the AP were slower, suggesting that NaV1.2 channels are distributed in both the AIS and somatodendritic compartment, and that their density is lower in both compartments. Similar AP speed deficits were observed in pyramidal cells located in other neocortical regions, including medial orbitofrontal cortex and primary visual cortex (Fig. S3A–D). In contrast to neocortical neurons, no alterations in AP threshold and peak speed were apparent in hippocampal CA1 pyramidal neurons (Fig. S3E–F). This is consistent with immunostaining indicating that hippocampal pyramidal cell dendrites predominantly express NaV1.6 (Lorincz and Nusser, 2010).
Immunostaining for NaV1.2 in neocortex suggests that NaV1.2 channels are predominantly localized to excitatory neurons, with little to no membrane localization observed in parvalbumin or somatostatin positive interneurons (Li et al., 2014; Yamagata et al., 2017). These cell classes instead express NaV1.1 channels, and exhibit hypoexcitability in Scn1a haploinsufficient mice aged P14–21 (Favero et al., 2018; Tai et al., 2014). To further test whether NaV1.2 contributes to AP excitability in these interneuron classes, we crossed Scn2a+/+ and Scn2a+/− mice to mice engineered to express tdTomato in either parvalbumin or somatostatin positive cells (see Methods). Fluorescently guided whole-cell current-clamp recordings were then made from these populations in slices prepared from P34–40 animals (Fig. 2). Though AP waveforms differed across cell class, neither peak dV/dt (Fig. 2; PV peak dV/dt: WT: 336 ± 19 V/s, n = 9 cells, Scn2a+/−: 326 ± 21 V/s, n = 9 cells; SOM peak dV/dt: WT: 362 ± 27 V/s, n = 12 cells, Scn2a+/−: 313 ± 23 V/s, n = 11 cells; p = 0.43, Fgenotype(1,37) = 0.65, 2-way ANOVA) or threshold (PV threshold: WT: −51.7 ± 1.6 mV, n = 9 cells, Scn2a+/−: −51.9 ± 0.7 mV, n = 9 cells; SOM threshold: WT: −39.7 ± 0.7 mV, n = 12 cells, Scn2a+/−: −41.6 ± 1.0 mV, n = 11 cells; p = 0.41, Fgenotype(1,37) = 0.68, 2-way ANOVA) were affected by loss of NaV1.2.
Figure 2: Layer 5 parvalbumin and somatostatin neuron APs are not altered in Scn2a+/− mice.
A: 2PLSM single optical section of tdTomato-positive parvalbumin-positive interneuron, overlaid with scanning-DIC image showing pipette in cell-attached configuration. Scale bar: 20 μm.
B: Spiking generated from parvalbumin positive cells in Scn2a+/+ and Scn2a+/− mice.
C: Phase-plane plots of data shown in (B).
D: AP threshold and peak rising dV/dt for the first AP of spike train. Open circles are single cells. Box plots are median, quartiles, and 90% tails. No statistical differences noted. Data obtained from P34–40 animals.
E-H: Identical to A-D, but for somatostatin-positive interneurons. Data obtained from P37–38 animals.
Overall, these data indicate that Scn2a haploinsufficiency alters the excitability of neocortical pyramidal cells, but not parvalbumin or somatostatin positive interneurons. Furthermore, within pyramidal cells, NaV1.2 channels may be more consequential for somatodendritic excitability than axonal excitability. To explore the cellular consequences of reduced somatodendritic excitability, we modified an established computational model of cortical pyramidal cells (Hallermann et al., 2012) by varying the localization and relative density of NaV1.2 and NaV1.6 (Ben-Shalom et al., 2017). First, NaV1.2 channels were localized only to the AIS, and AP waveform was compared between models with 100% and 50% NaV1.2 expression (Fig. 3A). AP waveform was only modestly altered by such manipulations. To best account for empirical observations, we found that NaV1.2 expression was required throughout the somatodendritic compartment, in equal levels with NaV1.6 (Fig. 3A, Fig. S4A–B, D–E). In this configuration, we modeled AP waveform throughout the dendritic arbor and found that backpropagating APs (bAPs) from the AIS to the dendritic arbor were attenuated in a distance dependent fashion. Though AP amplitudes were reduced only 10% in the soma, they were attenuated to far greater extents in distal dendrites (41% of WT amplitude in distal tuft) (Fig. 3B, Fig. S5D), suggesting that cellular processes that depend on bAPs may be altered in Scn2a+/− cells.
Figure 3: Scn2a haploinsufficiency impairs dendritic backpropagation of APs.
A: Compartmental model of cortical layer 5 pyramidal cell with two distributions of NaV1.2 and NaV1.6 (see Fig. S5 for other model configurations). Top model has NaV1.2 in the proximal AIS, NaV1.6 in the distal AIS, and NaV1.2 and 1.6 equally co-expressed in the somatodendritic compartment. Note reduction in peak rising dV/dt. Bottom model has NaV1.2 in the proximal AIS only, with NaV1.6 in the somatodendritic and distal AIS compartments. Removal of half the NaV1.2 channels results in only minor changes to AP phase-plane.
B: A single AP evoked in the top model in (A), backpropagating throughout dendrite. More marked differences in AP shape observed in more distal dendritic locations.
C: 2PLSM calcium imaging throughout apical dendrite of L5 thick-tufted neuron. Calcium transients evoked by bursts of AP doublets.
D: Transient amplitude is plotted for the first of 5 bursts (top) and area under the curve from stimulus onset to stimulus offset +100 ms (bottom) in Scn2a+/+ (n = 10), Scn2a+/− (n = 8 cells), and Scn2a+/+ cells treated with 5 nM TTX (n = 5). Circles and bars are means ± SEM. *: p < 0.05, Kruskal-Wallis test.
Backpropagating APs can provide instructive signals for dendritic integration and synaptic plasticity, largely through their ability to elicit calcium influx through dendritic voltage-dependent calcium channels and NMDA receptors (Feldman, 2012; Larkum et al., 1999a; Stuart and Häusser, 2001). To determine whether bAP-associated dendritic excitability was impaired in Scn2a+/− neurons, we imaged calcium transients evoked by trains of high-frequency bursts (2APs at >100Hz) at various locations throughout the apical dendrite of layer 5 pyramidal cells. Bursts of APs, rather than single APs, were chosen because they have been shown to evoke dendritic calcium transients throughout apical dendrites, including distal tuft regions (Barth et al., 2008; Gulledge and Stuart, 2003; Larkum et al., 1999b; Short et al., 2017). In WT neurons, bursts reliably evoked calcium transients throughout the apical dendrite. By contrast, calcium transients in Scn2a+/− neurons rapidly diminished in amplitude with increasing distance from the soma, becoming virtually absent in the most distal dendritic branches (Fig. 3C–D). To determine whether these effects were due to acute loss of NaV channels, rather than a consequence of altered excitability during development, we partially blocked sodium channels in mature WT neurons with tetrodotoxin (TTX), using a concentration that mimicked the reduced AP speed observed in Scn2a+/− neurons (5 nM, Fig. S4G–H). Consistent with acute effects of Scn2a haploinsufficiency, bAP-evoked calcium transients were reduced to a comparable extent in TTX-exposed WT neurons (Fig. 3C–D). Thus, Scn2a+/− haploinsufficiency leads to a major, persistent deficit in dendritic excitability in adult L5 neurons that is likely due to loss of NaV1.2 channels localized to the dendrite.
Excitatory synapses are impaired in mature Scn2a+/− neurons.
Impairments of both axonal and dendritic excitability could affect synapses, which are a common locus of dysfunction in mouse models of ASD (Bourgeron, 2015; Monteiro and Feng, 2017; Tsai et al., 2012). We tested this by first measuring miniature excitatory and inhibitory postsynaptic currents (mEPSC, mIPSC) at P6 and P27, capturing developmental periods of axonal and dendritic excitability deficits, respectively. Neither mEPSCs nor mIPSCs were affected at P6. At P27, mEPSC frequency was reduced by 48% (WT: 9.3 ± 1.1 Hz, n = 23 cells; Scn2a+/−: 4.9 ± 0.8, n = 19 cells; p < 0.001 Mann-Whitney), with no change in mEPSC amplitude (Fig. 4A–B) or mIPSC amplitude or frequency (S6A–B).
Figure 4: Scn2a haploinsufficiency disrupts excitatory synapse function.
A: mEPSCs recorded in Scn2a+/+ (black) and Scn2a+/− (cyan) pyramidal cells at P6 and P27. Tick marks denote detected events.
B: Left, average mEPSC frequency per cell (open circles). Box plots are median, quartiles, and 90% tails. Note that frequency range is different for P6 and P27. Middle, cumulative probability distribution of mEPSC event intervals at P27. Distributions were generated per cell, then averaged. Bars are SEM. p < 0.0001, Kolmogorov-Smirnov test. Right, average mEPSC amplitude per cell.
C: Paired pulse ratio of evoked excitatory inputs to Scn2a+/+ (black) and Scn2a+/− (cyan) pyramidal cells at 3 different stimulus intervals. Bottom, summary grouped by inter-stimulus interval. No differences noted.
D: Top, AMPA receptor-mediated and mixed AMPA/NMDA receptor-mediated evoked EPSCs at −80 and +30 mV, respectively. Dashed line denotes time at which NMDA receptor-mediated component was calculated. Bottom, AMPA-NMDA ratio in Scn2a+/+ and Scn2a+/− neurons. * p < 0.01, Mann-Whitney.
Lower mEPSC frequencies could reflect reductions in release probability or the number of functional synapses contributing to AMPA-mediated mEPSCs. The paired pulse ratio, which is sensitive to differences in release probability, was not different between Scn2a+/− and WT cells (Fig. 4C, S5C–D). By contrast, the ratio of AMPA- to NMDA-mediated current in evoked EPSCs was reduced in Scn2a+/− cells (Fig. 4D; WT: 5.5 ± 0.7, n = 8 cells: Scn2a+/−: 3.2 ± 0.2, n = 12 cells; p < 0.01, Mann-Whitney). Taken together, the reduction in both mEPSC frequency and AMPA:NMDA ratio suggest that mature Scn2a+/− neurons have an excess of AMPA-lacking spines that are more commonly observed at earlier developmental time points (Hanse et al., 2013; Kerchner and Nicoll, 2008).
Consistent with these functional observations, dendritic spine morphology was also altered in mature, but not immature, Scn2a+/− cells, though overall dendritic arbor structure was unaltered (Fig. 5A–B). At P5–6, filipodial spines identified on developing apical dendrites were similar in morphology and density in wildtype and Scn2a+/− neurons (Fig. 5C–D). In more mature neurons (>P23), spine density was comparable between WT and Scn2a+/− on both apical and basal dendrites; however, Scn2a+/− spines were longer and had smaller heads relative to their total head and neck volume (Fig. 5C–D), thus sharing features with spines more commonly found in less mature cells.
Figure 5: Dendritic spines are morphologically immature in Scn2a+/− cells.
A: Examples of dendritic morphology in P22–25 Scn2a+/+ (black) and Scn2a+/− (cyan) pyramidal cells.
B: Overall dendrite length and branch points in apical and basal trees. Open circles are single cells. Box plots are median, quartiles, and 90% tails. (Scn2a+/+: n = 10 cells; Scn2a+/−: n = 10 cells). No differences across genotype noted.
C: Examples of spines along apical dendrites of immature (P5–6) and more mature (P24–36) neurons.
D: Overall spine length from shaft to spine head, volume of spine head relative to total volume of head and shaft, and number of spines per length of dendrite were measured in apical dendrites of P5–6 neurons (n = 560–685 spines per group, 1–4 dendritic branches per cells, 10 cells per group; note that basal dendrites often lacked spines at this age and were therefore not assessed). Spines along both apical and basal dendrites were imaged in P24–36 neurons (n = 500–600 spines per group, 1–3 dendritic branches per cell, 6 cells per group). *: p < 0.05, Mann-Whitney.
To determine whether impaired synaptic function was due to early developmental deficits in axonal excitability or persistent deficits in dendritic excitability, we engineered a mouse with one Scn2a allele under Cre-loxP control (Scn2a+/fl) (Fig. S6A). Mice were first crossed to the CaMKIIα-Cre driver line, which expresses Cre in neocortical pyramidal cells only after P10 (Fig. S6B, Xu et al., 2000). As such, Scn2a+/fl::CaMKIIα-Cre mice develop with normal AP threshold and spike output. In Scn2a+/fl::CaMKIIα-Cre mice, peak dV/dt was not different at P18, likely due to a combination of low Cre expression and slow NaV1.2 turnover. By P50, peak dV/dt matched constitutive Scn2a+/− neurons (Fig. 6B). Furthermore, bAP-evoked dendritic Ca transients were suppressed to comparable extents as observed in constitutive Scn2a+/− mice (Fig. 6C–D). Thus, these mice developed without early deficits in axonal excitability and exhibited impaired dendritic excitability only later in development.
Figure 6: Inducing Scn2a haploinsufficiency late in development disrupts dendritic excitability, AP backpropagation, and synaptic stability.
A: Scn2a+/fl mice were injected with a dilute Cre virus, infecting a subset of neurons in PFC. Images are single 2PLSM optical section of transmitted laser light (“scanning-DIC”) and mCherry fluorescence (red). Left, dashed circles highlight two neighboring Cre+ and Cre- neurons. Right, Cre+ neuron targeted for whole-cell recording with pipette from left-hand side. Image taken while in cell-attached configuration.
B: Peak dV/dt vs age in conditional Scn2a mice. dVdt measurements were made from CaMKII::Scn2a+/fl or Scn2a+/+ mice at several ages and compared to developmental curve derived from constitutive mice. Note overlap with wild-type developmental curve at P18 and eventual overlap with Scn2a+/− curve at >P50 for CaMKII::Scn2a+/fl neurons. Neurons in Scn2a+/fl mice injected with dilute Cre virus were assessed after P55. Circles and bars are means ± SEM. *: p < 0.01, Mann-Whitney.
C: Dendritic calcium imaging as in Fig. 2C, except in CaMKII::Scn2a+/fl or +/+ cells.
D: Transient amplitude is plotted for the first of 5 bursts (left) and area under the curve from stimulus onset to stimulus onset + 500ms (right) in CaMKII::Scn2a+/+ (n = 9 cells) or CaMKII::Scn2a+/− (n = 8 cells). Circles and bars are means ± SEM. *: p < 0.05, Mann-Whitney.
E: AMPA:NMDA ratio between CaMK-Cre:Scn2a+/+ and Scn2a+/fl littermates, and between Cre+ and Cre- neurons in Scn2a+/fl mice injected with EF1α-Cre. *: p < 0.05, Mann-Whitney.
Strikingly, AMPA:NMDA ratio was reduced in Scn2a+/fl::CaMKIIα-Cre neurons when measured after P50, revealing that impaired dendritic excitability alone is sufficient to alter synapse strength (Fig. 6E; WT: 4.2 ± 0.3, n = 12 cells; floxed: 2.5 ± 0.4, n = 11 cells; p < 0.01, Mann-Whitney). To test whether these synaptic deficits result from a cell-autonomous loss of Scn2a, we injected a dilute Cre-expressing adeno-associated virus (AAV-EF1α-Cre-mCherry) into mPFC of P28 Scn2a+/fl mice (Fig. 6A). Four weeks later, we found that both peak dV/dt and AMPA:NMDA ratio were reduced in Crepositive, but not Cre-negative neurons (Fig. 6B, E; WT: 5.0 ± 0.4, n = 10 cells; floxed: 2.4 ± 0.4 n = 9 cells; p < 0.01, Mann-Whitney). Modest increases in spine length were also noted in spines along the apical dendrites of Scn2a+/fl::CaMKIIα-Cre cells (Fig. S7). These results indicate that the persistent, cell-autonomous, dendritic function of NaV1.2 is required to maintain aspects of normal synaptic function in mature pyramidal cells.
These changes in synapse structure and function could arise if synapses lack instructive signals for maintaining synaptic strength. Indeed, physiologically relevant forms of synaptic plasticity depend on the coincident detection of bAPs and glutamate at the synapse, a process that may be affected in Scn2a+/− cells (Feldman, 2012; Magee and Johnston, 1997; Markram et al., 1997, 2012). To test whether plasticity is impaired in these cells, we induced long-term potentiation (LTP) of putative apical dendrite synapses by pairing layer 1 fiber stimulation with bursts of APs (Fig. 7A, Kampa et al., 2006; pairing protocol: Tzounopoulos et al., 2004). In WT neurons, paired stimulation resulted in long-lasting synaptic potentiation. In contrast, LTP was not observed in either Scn2a+/− neurons or in WT neurons in 5 nM TTX (Fig. 7B–D, EPSP slope, normalized to baseline: WT: 1.52 ± 0.10, n = 11 cells; Scn2a+/−: 0.98 ± 0.11, n = 11 cells; TTX: 0.97 ± 0.06, n = 9 cells; p = 0.0002, Kruskal-Wallis test; WT vs Scn2a+/−: p = 0.0007, WT vs TTX: p = 0.002, Dunn’s multiple comparisons test). Thus, Scn2a haploinsufficiency impairs synaptic plasticity, consistent with impairments in bAP-evoked calcium transients in the dendrites.
Figure 7: Scn2a haploinsufficiency impairs synaptic plasticity.
A: Recording configuration for burst-based LTP experiments. Stimulating electrode was placed in layer 1 and synaptic stimulation was paired with somatic current-evoked AP bursts.
B: Example of EPSPs before and after LTP pairing protocol. Lighter shades are post-induction data (15–25 minutes after pairing). Stimulus artifact removed for clarity.
C: EPSP slope (first 2 ms), membrane potential (Vm) and input resistance (Rin) vs time before and after LTP induction. Circles and bars are mean ± SEM.
D: EPSC slope per cell in Scn2a+/+ cells with and without TTX and Scn2a+/− cells. *: p = 0.0002, Kruskal-Wallis test; WT vs Scn2a+/−: p = 0.0007, WT vs TTX: p = 0.002, Dunn’s multiple comparisons test.
Scn2a+/− mice have trends towards deficits in learning and social behavior
Given these physiological deficits and the association of loss-of-function SCN2A mutations with ASD and ID in humans, we next asked if Scn2a haploinsufficiency results in corresponding behavioral impairments in mice. As mouse models harboring other ASD-associated genetic variants exhibit a range of behavioral differences (Pasciuto et al., 2015; Silverman et al., 2010), we screened Scn2a+/− mice and WT littermates of both sexes (5–13 mice per sex and genotype combination) through a behavioral panel designed to assess locomotion, anxiety, repetitive behavior, sociability, and learning (Fig. S8). In total, 10 assays were performed yielding 30 metrics that we assessed for genotypic differences. While no individual metric differed significantly between the wildtype and heterozygote mouse after correcting for multiple comparisons, we observed a trend towards impaired reversal learning in a water T-maze task in males (Fig. S8A). In this task, mice must first learn which arm of a maze contains a submerged platform (day 1–4, 4 trials/day), then reverse their association when the platform location is switched (day 5–8, 6 trials/day). A replication experiment of two further batches of male (23 vs. 24 mice total) and female (20 vs. 24 mice total) Scn2a+/− and WT littermates showed a similar trend toward reversal learning impairments (Fig. S9A, p = 0.026, FGenotype (1, 45) = 5.2, 2-way repeated measures ANOVA; alpha required for multiple comparisons in replication cohort: 0.003), while no trends were observed in females.
We also observed trends suggestive of social impairments in female mice (Fig. S9B–D). Specifically, in our initial screen we observed no difference in social approach behavior in a two-chamber social task, where mice had the option of interacting with a caged, sex-matched stimulus mouse in one chamber or an inanimate toy mouse in the other (Fig. S8B). In a second cohort, mice were paired with the same stimulus mouse for three trials to assess social approach and habituation. Both sexes and genotypes showed a comparable preference to the stimulus mouse vs the toy mouse across the three trials (Fig. S8B). Given the importance of social interaction in ASD, we also tested interactions when the toy mouse was replaced with a novel stimulus mouse on the fourth trial. Both male and female WT mice switched preference to the new stimulus mouse whereas female Scn2a+/− mice showed no preference for the novel mouse (Δinteraction time:, Scn2a+/+: −17.1 ± 4.1 sec, n = 13 mice; Scn2a+/+: 9.3 ± 10.3 sec, n = 8 mice, p = 0.017; Mann-Whitney) (Fig. S9D). Female Scn2a+/− mice were also found to enter the open arms of the elevated plus maze more often (percent time in open arms: Scn2a+/+: 22.9 ± 2.1%, n = 24 mice; Scn2a+/+: 34.3 ± 2.7% sec, n = 20 mice, p = 0.002; Mann-Whitney), with a trend towards spending more time in these open arms (number of open arm entries: Scn2a+/+: 56.6 ± 3.3, n = 24 mice; Scn2a+/−: 73.6 ± 5.5 n = 20, p = 0.012; Mann-Whitney) (Fig. S9F). Overall, these data suggest that Scn2a+/− mice may display sex-specific impairments in behavioral flexibility and social discrimination.
Discussion:
Here, we report that NaV1.2 channels contribute to excitatory synapse function through an unexpected role in dendritic excitability, and that cell-autonomous Scn2a haploinsufficiency late in development is sufficient to impair excitatory synaptic connectivity. This reframes SCN2A as a gene not only important for axonal excitability, but also for dendritic excitability in neocortical pyramidal neurons. Scn2a haploinsufficiency affects dendritic excitability throughout life, with corresponding deficits in synaptic function and plasticity that may be consequential for ASD/ID etiology.
NaV1.2 channel expression in neocortical pyramidal cell dendrites
While the expression of NaV1.2 in the AIS is well established (Gazina et al., 2015; Hu et al., 2009; Liao et al., 2010), there is less consensus on its distribution in pyramidal cell dendrites. The first immunostaining of NaV1.2 in neocortex revealed somatic and apical dendritic localization in pyramidal cells, though this may represent a pool of newly synthesized channels within vesicles (Gong et al., 1999). Functionally, somatodendritic NaV currents in neocortical pyramidal neurons are best described by NaV1.2 channels (Hu and Bean, 2018; Hu et al., 2009). Here, we found that AP waveform was altered in constitutive and conditional Scn2a+/− prefrontal thick-tufted layer 5 pyramidal cells in a manner best explained by somatodendritic loss of NaV1.2, with no functional compensation from the residual Scn2a allele or NaV1.6 (Fig. 1–2, S1, S4). Similar observations were made in prefrontal thin-tufted layer 5 pyramidal cells, and in thick-tufted layer 5 pyramidal cells localized to orbitofrontal and primary visual cortex (Fig. S3). Moreover, AP-evoked calcium transients in PFC pyramidal neurons were suppressed throughout the dendritic arbor of Scn2a+/− cells (Fig. 3, 6), and this effect could be mimicked in wildtype neurons acutely by sub-saturating concentrations of TTX.
In mature hippocampal preparations, NaV1.2 channels have been visualized in pyramidal cell initial segments, and also were co-localized with the presynaptic terminal marker VGlut1 in strata containing unmyelinated axons, but were not present in pyramidal cell dendrites (Lorincz and Nusser, 2010, but see Johnson et al., 2017). Consistent with this observation, AP waveform was not altered in recordings from CA1 hippocampal neurons (Fig. S3). This suggests that NaV1.2 channels are selectively found in the dendrites of neocortical, but not archicortical, pyramidal cells. This hypothesis will require further work to measure dendritic excitability directly in hippocampal neurons, and to rule out compensation by other NaV subtypes. Furthermore, there may be regional differences in expression in other neocortical regions between frontal and visual cortex, or in other laminae. Altogether, these data indicate that NaV1.2 is functionally expressed in the soma and dendrites of neocortical pyramidal neurons, where they play an important role in excitability and synapse function.
Role of NaV1.2 in dendritic and synaptic function
Scn2a haploinsufficiency selectively impairs dendritic excitability and synaptic function in mature PFC pyramidal cells, with no effects on AP initiation or propagation (Fig. 1, S2). This distinguishes NaV1.2 from other NaV isoforms expressed in the mature cortex that either support overall excitability in inhibitory neurons (NaV1.1) or contribute to both action potential generation and dendritic excitability in pyramidal neurons (NaV1.6) (Hu et al., 2009; Lorincz and Nusser, 2008; Ogiwara et al., 2007). In the mature brain, NaV1.2 may instead play a major role in supporting the backpropagation of action potentials within neocortical pyramidal cell dendrites. These bAPs depolarize dendrites and can contribute to the generation of dendritic spikes, especially when paired with local synaptic stimulation (Larkum et al., 1999a), or when packaged in high-frequency bursts (Barth et al., 2008; Gulledge and Stuart, 2003; Larkum et al., 1999b). Here, we found that somatodendritic NaV1.2 channels are critical for supporting bAPs from the AIS to the distal dendrites, and that Scn2a haploinsufficiency impairs the ability to induce a burst-based form of associative spike-timing dependent plasticity at apical tuft synapses (Figs. 3C–D, 5C, 7). Furthermore, excitatory synapse function was altered in ways most consistent with a postsynaptic, dendritic role for NaV1.2 channels in mature neurons. Presynaptic metrics, including the likelihood of evoking calcium transients in axonal boutons and paired-pulse ratio, were unaffected by Scn2a loss (Fig. S2, S5). By contrast, miniature EPSC frequency and AMPA:NMDA ratio were reduced, consistent with the hypothesis that a higher proportion of silent synapses are present in Scn2a+/− cells (Fig. 4). These effects were mirrored by structural differences in spines imaged on basal and apical dendrites of more mature neurons (Fig. 5C–D). Interestingly, these functional and structural aspects were dissociable, as induction of Scn2a haploinsufficiency late in life reduced AMPA:NMDA ratio with little change in spine shape (Figs. 6E, S7). This is consistent with other cell- and circuit-based perturbations in more mature neurons, where synapse strength can be altered markedly with relatively small changes in spine morphology (Dobi et al., 2011; Sala et al., 2003; Shen et al., 2014), and suggests that certain aspects of spine morphology are developmentally regulated before the ages at which Scn2a loss was induced in Scn2a+/fl mice studied here.
While we focused on backpropagation of bursts and related plasticity in the tuft of Scn2a+/− cells, reductions in NaV1.2 density likely affect many other dendritic processes. For example, dendrites are capable of generating spikes independent of APs at the AIS through multiple mechanisms, including NaVs (Kim et al., 2015; Stuart et al., 1997). These dendritic spikes alone can be instructive for synaptic plasticity (Golding et al., 2002; Kampa et al., 2007). Furthermore, plasticity mechanisms that influence synaptic strength in dendrites more proximal to the soma are also likely affected, given the structural changes observed in basal dendrites and in EPSCs evoked with electrical stimulation in layer 5. High-frequency burst-based stimuli used here readily produced calcium transients in proximal dendritic locations in Scn2a+/− cells. Other activity that drives dendritic calcium influx, including single APs or coordinated activation of excitatory inputs (Ariav et al., 2003), may instead be affected in these regions.
Measurements of persistent sodium current suggest that the loss of NaV1.2 channels is not functionally compensated for by NaV1.6. Consistent with this, mRNA for NaV1.6, NaV1.1, and NaV beta subunits are unaltered in Scn2a+/− mice (Ogiwara et al., 2018). We also found no differences in transient or sustained potassium currents or input resistance, suggesting that other channel types are similarly unaltered by NaV1.2 reductions. However, interpretation of this is hampered by the inability to adequately clamp these currents via somatic recording. While empirical measurements indicate that we have reasonable voltage control over persistent sodium currents in the AIS (Fig. S1E–G), other events, including synaptic activity and potassium currents, may suffer from incomplete voltage control in these large dendritic cells (Beaulieu-Laroche and Harnett, 2018; Williams and Mitchell, 2008). Importantly, voltage errors are likely comparable across genotype, since we do not observe differences in dendritic morphology, input resistance, and spine density (Figs. 5, S1). Furthermore, effects of NaV1.2 loss on bAP-associated dendritic calcium transients were recapitulated by acutely blocking a small fraction of NaVs in WT cells. Thus, even though we have not assessed the function of ion channels in the apical tuft directly, our data are most easily explained by a reduction in NaV1.2 alone, with no compensation from other NaVs or other ion channel classes.
Relationship with other ASD-associated genes
While SCN2A’s ASD association has been established for some time (Sanders et al., 2012), the mechanistic underpinnings of this strong association have been a mystery. Since NaV1.2 channels were best understood for their role in AP initiation (Hu et al., 2009), it was difficult to find parallels with other ASD-associated genes that are associated with synaptic function and gene transcription (De Rubeis et al., 2014). Data shown here instead suggest that SCN2A function in ASD converges at the dendrite with the large group of ASD-associated genes involved in synaptic function. Indeed, disruptions in both excitatory synaptic function and neuronal excitability have been reported in other ASD-associated genes (Bateup et al., 2011; Bozdagi et al., 2010; Contractor et al., 2015; Greer et al., 2010; Meredith and Mansvelder, 2010; Nestor and Hoffman, 2012; Williams et al., 2015; Yashiro et al., 2009; Yi et al., 2016). How the other ASD-associated genes with roles in regulating gene expression mediate ASD risk remains unknown (Sanders, 2015), however we note that SCN2A has been reported as a regulatory target of both FMRP and CHD8 (Darnell et al., 2011; Golden et al., 2019; Sugathan et al., 2014).
SCN2A was one of the first genes identified with a clear excess of missense mutations in addition to predicted protein truncating variants linked to ASD and ID (Ben-Shalom et al., 2017; Sanders et al., 2015). Recent efforts have identified other genes harboring ASD-associated missense variants, though the functional implications of such mutations are largely unclear (Geisheker et al., 2017). NaV1.2 function, by contrast, can be well characterized, allowing for a better understanding of how missense mutations that alter channel activity affect neuronal function. Several recurring SCN2A missense variants block sodium flux (Begemann et al., 2019; Ben-Shalom et al., 2017). These may be functionally identical to protein truncating variants, since we and others find that NaV1.2 function is reduced 50% in Scn2a+/− mice (Planells-Cases et al., 2000), with no evidence for functional compensation. Other SCN2A missense variants observed in ASD patients alter channel voltage dependence or kinetics, reducing neuronal excitability in models of developing cortical pyramidal cells (Ben-Shalom et al., 2017). Whether they result in similar dendritic deficits in mature neurons remains to be tested.
Role of Scn2a in learning and behavior
The behavioral differences observed thus far in heterozygous Scn2a mice parallel aspects of behavioral phenotypes reported in other mouse models of ASD-associated genes (Pasciuto et al., 2015; Silverman et al., 2010). Here, we observed trends toward impaired behavioral flexibility in males and impaired social recall and reduced anxiety in females. Reversal learning effects we observed in male mice parallel spatial learning impairments observed previously in male Scn2a+/− mice (Middleton et al., 2018). Whether female Scn2a+/− are similarly resistant to these specific spatial learning impairments has not been explored. Male Scn2a+/− mice were also recently found to display novelty-induced exploratory hyperactivity, social behavior impairment, enhanced fear conditioning, and deficient fear extinction (Tatsukawa et al., 2019). Of note, several phenotypic results, including open field, elevated plus maze, and social interaction, were not replicated here. This issue of reproducibility is unfortunately common in behavioral studies examining ASD-like phenotypes in mouse, and may relate to differences in genetic background, genetic drift over generations, or experimental conditions (Brunner et al., 2015; Chadman et al., 2008; Ey et al., 2012; Spencer et al., 2011).
Children with SCN2A loss-of-function variants display a range of phenotypes, including ASD, ID, and cortical visual impairments. Here, we found that neurons in visual cortex have similar deficits in AP waveform, possibly reflecting deficits in dendritic excitability that could impair visual processing (Xu et al., 2012). Furthermore, a fraction of these children also develop seizure phenotypes, typically after the first year of life (Sanders et al., 2018; Wolff et al., 2017). Scn2a+/− mice have been reported to be seizure free (Mishra et al., 2017; Planells-Cases et al., 2000), or to have low-frequency, short duration spike-wave discharges (Ogiwara et al., 2018). The variability of seizure occurrence in human and mouse suggests that factors other than Scn2a loss alone, including genetic background, may contribute to seizure susceptibility.
In conclusion, we found that haploinsufficiency induction at two different developmental timepoints, both well after NaV1.2 channels cease to contribute to AP initiation, was sufficient to alter synaptic function (Fig. 3, 6). While this result does not exclude additional effects on network function due to reduced axonal excitability in early cortical development, it does indicate that proper NaV1.2 function that supports dendritic excitability is required for maintaining synaptic strength. Thus, restoring proper NaV1.2 function, even in the mature brain, may be an enticing avenue for therapeutic intervention in loss-of-function SCN2A cases.
STAR Methods:
CONTACT FOR REAGENT AND RESOURCE SHARING
Contact for Reagent and Resource Sharing
Requests for reagents and resources should be directed to Kevin Bender ([email protected])
EXPERIMENTAL MODEL AND SUBJECT DETAILS
All experimental procedures were performed in accordance with UCSF and Gladstone Institutes IACUC guidelines. All experiments were performed on mice housed under standard conditions with ad libitum access to food and water. C57B6J (JAX: 000664), B6.Cg-Tg(Camk2a-cre)T29–1Stl/J (Jax: 005359), Ai14: 6;129S6-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J (JAX: 007908) were obtained from The Jackson Laboratory and bred in our onsite colony. Scn2a+/− mice were provided by Drs. E. Glasscock and M. Montal (Mishra et al., 2017; Planells-Cases et al., 2000). Scn2a+/fl mice were created by inserting LoxP sites around exon 2 of the Scn2a gene (Fig, S6A, Cyagen). A targeting vector was generated by PCR using BAC clone RP23–332C13 and RP24–42717 from the C57BL/6J library to create homology arms around a LoxP flanked cKO region that includes exon 2 of the Scn2a gene. The targeting vector included a Neo cassette flanked by Rox sites for positive selection, and DTA outside of the homology arms for negative selection. The linearized vector was subsequently delivered to ES cells (C57BL/6) via electroporation, followed by drug selection, PCR screening, and Southern Blot confirmation. Confirmed clones were then introduced into host embryos and transferred to surrogate mothers. Chimerism in the resulting pups was identified via coat color. F0 male chimeras were bred with C57BL/6 females to generate F1 heterozygous mutants that were identified by PCR.
Method Details
Ex Vivo Electrophysiology:
Mice aged P4 through P62 were anesthetized, and 250 μm-thick coronal slices containing medial prefrontal cortex, medial orbitofrontal cortex, hippocampal CA1, or primary visual cortex (Fig. S3A) were prepared. Slices were prepared from Scn2a+/−, CaMKII-Cre (MGI: 2446639)::Scn2a+/fl, Parv-Cre (MGI: 3590684)::Ai14::Scn2a+/−, SOM-Cre (MGI: 4838416)::Ai14::Scn2a+/−, or Scn2a wild type littermates (genotyped by PCR). All data were acquired and analyzed blind to Scn2a genotype, except for experiments examining the effects of tetrodotoxin in a wild type background (AP waveform and synaptic plasticity), and the effects of sparse Cre transfection in Scn2a+/fl mice. Data were acquired from both sexes (blind to sex), with no sex-dependent differences noted in measurements made in acute slice recordings [e.g., AMPA:NMDA ratio, combined data across constitutive and conditional heterozygote cases: Male +/+ 5.1 ± 0.3, n = 8, Female +/+: 4.7 ± 0.3, n = 22, Male +/−: 2.4 ± 0.3, = 18, Female +/−: 3.1 ± 0.3, n = 11; p = 0.13, 2-factor ANOVA. Peak rising dV/dt of AP, combined data from P23–62 constitutive and >P50 conditional heterozygote cases: Male +/+: 584.4 ± 8.8 V/s, n = 48; Female +/+: 588.0 ± 22.8, n = 6; Male +/−: 405.3 ± 8.1, n = 32; Female +/−: 449 ± 19.0, n = 9; p = 0.21, 2-factor ANOVA). Cutting solution contained (in mM): 87 NaCl, 25 NaHCO3, 25 glucose, 75 sucrose, 2.5 KCl, 1.25 NaH2PO4, 0.5 CaCl2 and 7 MgCl2; bubbled with 5%CO2/95%O2; 4°C. Following cutting, slices were either incubated in the same solution or in the recording solution for 30 min at 33°C, then at room temperature until recording. Recording solution contained (in mM): 125 NaCl, 2.5 KCl, 2 CaCl2, 1 MgCl2, 25 NaHCO3, 1.25 NaH2PO4, 25 glucose; bubbled with 5%CO2/95%O2; 32–34°C, ~310 mOsm.
Neurons were visualized with differential interference contrast (DIC) optics for conventional visually guided whole-cell recording, or with 2-photon-guided imaging of reporter-driven tdTomato fluorescence overlaid on an image of the slice (scanning DIC). For current-clamp recordings and voltage-clamp recordings of K+ currents, patch electrodes (Schott 8250 glass, 3–4 MΩ tip resistance) were filled with a solution containing (in mM): 113 K-Gluconate, 9 HEPES, 4.5 MgCl2, 0.1 EGTA, 14 Tris2-phosphocreatine, 4 Na2-ATP, 0.3 tris-GTP; ~290 mOsm, pH: 7.2–7.25. For Ca2+ imaging, EGTA was replaced with 250 μM Fluo-5F and 20 μM Alexa 594. For voltage-clamp recordings of persistent Na+ currents and synaptic activity, internal solution contained (in mM): 110 CsMeSO3, 40 HEPES, 1 KCl, 4 NaCl, 4 Mg-ATP, 10 Na-phosphocreatine, 0.4 Na2-GTP, 0.1 EGTA; ~290 mOsm, pH: 7.22. All data were corrected for measured junction potentials of 12 and 11 mV in K- and Cs-based internals, respectively.
Electrophysiological data were acquired using Multiclamp 700A or 700B amplifiers (Molecular Devices) via custom routines in IgorPro (Wavemetrics). For measurements of action potential waveform, data were acquired at 50 kHz and filtered at 20 kHz. For all other measurements, data were acquired at 10–20 kHz and filtered at 3–10 kHz. For current-clamp recordings, pipette capacitance was compensated by 50% of the fast capacitance measured under gigaohm seal conditions in voltage-clamp prior to establishing a whole-cell configuration, and the bridge was balanced. For voltage-clamp recordings, pipette capacitance was compensated completely, and series resistance was compensated 50%. Series resistance was <15 MΩ in all recordings. Experiments were omitted if input resistance changed by > ±15%.
Between P4 and P10, whole-cell current-clamp recordings were made from in the center of the cortical plate, corresponding to developing layer 5 (Cánovas et al., 2015). Putative pyramidal cells were identified based on regular spiking characteristics. Pyramidal cell identity was validated by 2-photon visualization of dendritic spines in a subset of these recordings (25/81). After P13, laminae became more distinct and recordings were restricted to L5b. In pyramidal cells aged >P17, AP characteristics are known to vary based cell class (Clarkson et al., 2017; Dembrow et al., 2010). To minimize variability, recordings were restricted to cells with low or high HCN expression levels, corresponding to intratelencephalic (IT) or pyramidal tract (PT) neurons, respectively. In current clamp, PT neurons were defined as those that exhibited a voltage rebound more depolarized that Vrest following a strong hyperpolarizing current (−400 pA, 120 ms) that peaked within 90 ms of current offset (Clarkson et al., 2017). All others were defined as IT. These metrics were not employed in cells from <P15 due to a lack of mature HCN-mediated current. AP threshold and peak dV/dt measurements were determined from the first AP evoked by a near-rheobase current in pyramidal cells (300 ms duration; 10 pA increments), or the first AP within a train of APs with a minimum inter-AP frequency of 25 Hz in inhibitory neurons. Threshold was defined as the Vm when dV/dt measurements first exceeded 15 V/s.
Miniature excitatory and inhibitory postsynaptic currents (mEPSC, mIPSC) were assessed in the presence of 10 μM R-CPP and 400 nM TTX. mEPSCs and mIPSCs were measured while voltage-clamping neurons at −80 and 0 mV, respectively. Events were detected using a deconvolution algorithm based on Pernía-Andrade et al. (Pernía-Andrade et al., 2012), with a noise threshold of 3.5x. All events larger than ±2 pA that were separated by 1 ms were analyzed and subsequently screened manually. Baseline recording noise was not different across genotype (P27 mEPSC root mean square noise, WT: 2.1 ± 0.2 pA, n = 23; Scn2a+/−: 2.2 ± 0.2 pA, n = 19, p = 0.6, Mann-Whitney test).
In experiments measuring paired pulse ratio and AMPA:NMDA ratio, EPSCs were evoked via a bipolar glass theta electrode placed ~200 μm lateral to the recorded neuron in layer 5. Paired pulse ratio was assessed in the presence of 10 μM R-CPP and 25 μM picrotoxin at −80 mV. Overall divalent concentration was maintained when calcium was lowered from 2 to 1 mM by increasing MgCl2 from 1 to 2 mM. For AMPA:NMDA ratio, R-CPP was omitted and neurons were held at −80 and +30 mV to assess AMPA and NMDA-mediated components. AMPA and NMDA components were defined as the peak inward current at −80 mV and the outward current 50 ms after stimulus onset at +30 mV, respectively.
For sparse Cre expression experiments, mice were anesthetized with isoflurane and positioned in a stereotaxic apparatus. 500 nL volumes of AAV-EF1A-Cre-IRES-mCherry (UNC Vector Core) diluted with saline (1:10) were injected into the mPFC of Scn2afl/+ mice (stereotaxic coordinates [mm]: anterior-posterior [AP], +1.7, mediolateral [ML] −0.35; dorsoventral [DV]: −2.6). Mice were used in experiments four weeks post injection.
Persistent Na+ and currents were activated with 500 ms voltage steps from −90 mV and corrected using p/n leak subtraction. 10–15 trials were averaged per voltage step. Current amplitudes were calculated as the average of the last 100 ms of each step. Experiments were performed in 25 μM picrotoxin, 10 μM NBQX, 10 mM TEA, 2 mM 4-AP, 200 μM Cd2+, 2 μM TTA-P2, and 1 mM Cs+. K+ currents were activated with 500 ms voltage steps from −90 to −20, in 10 mV increments. 5 trials were averaged per voltage step. Current amplitudes were calculated from the transient peak and sustained components (last 50 ms). Experiments were performed in 500 nM TTX, 25 μM picrotoxin, 10 μM NBQX, and 1 mM Cs+. Ca2+ channels were not blocked to allow for activation of Ca2+-dependent K+ channels.
In burst-based spike timing-dependent plasticity protocols, excitatory postsynaptic potentials (EPSPs) were evoked with a theta stimulating electrode placed in layer 1, 25–50 μm from the L1/2 border, 350–500 μm dorsal to the recorded L5b pyramidal cell. After establishing a stable baseline (EPSP ISI: 0.1 Hz), EPSPs were paired with AP bursts evoked by 500–800 pA somatic current steps (20 ms, onset: 10 ms after EPSP stimulation, 2 APs at >100 Hz). These EPSP-AP pairings were delivered in a train of 5 at 100 ms ISI. Trains were repeated every 5s for 20 trials. Following induction, EPSP stimulation frequency was reset to 0.1 Hz, and changes in EPSP slope were assessed by comparing data 15–25 min following induction to baseline. For experiments performed in 5 nM TTX, bursts were evoked with somatic current injection steps of larger amplitude (800–1500 pA).
Two-photon Imaging
Two-photon laser scanning microscopy (2PLSM) was performed as previously described (Bender and Trussell, 2009). A 2-photon source (Coherent Ultra II) was tuned to 810 nm for morphology and calcium imaging. Epi- and transfluorescence signals were captured either through a 40×, 0.8 NA objective for calcium imaging or a 60×, 1.0 NA objective for spine morphology imaging, paired with a 1.4 NA oil immersion condenser (Olympus). Fluorescence was split into red and green channels using dichroic mirrors and band-pass filters (575 DCXR, ET525/70m-2p, ET620/60m-2p, Chroma). Green fluorescence (Fluo-5F) was captured with 10770–40 photomultiplier tubes selected for high quantum efficiency and low dark counts (PMTs, Hamamatsu). Red fluorescence (Alexa 594) was captured with R9110 PMTs. Data were collected in linescan mode (2–2.4 ms/line, including mirror flyback). For calcium imaging, data were presented as averages of 10–20 events per site, and expressed as Δ(G/R)/(G/R)max*100, where (G/R)max was the maximal fluorescence in saturating Ca2+ (2 mM) (Yasuda et al., 2004). Backpropagation experiments were performed in 25 μM picrotoxin, 10 μM NBQX and 10 μM R-CPP.
Spine morphology and density images were obtained during 2PLSM images obtained at 2x the Nyquist resolution limit for 810 nm excitation, with z-stacks through the dendritic arbor (0.1 μm steps in the z-axis). For constitutive knockout animals, z-stacks of dendritic spines were acquired developing (P5–6) and mature (P24–36) neurons from secondary or tertiary dendritic branches in the apical tuft (Mean distance from soma: P24–36 WT = 350 ± 52 μm, P24–36 Scn2a+/− = 308 ± 37 μm, P5–6 WT = 197 ± 39 μm, P24–36 Scn2a+/− = 197 ± 68 μm) and primary and secondary basal dendritic branches (Mean distance P24–36 WT = 99 ± 23 μm, P24–36 Scn2a+/− = 106 ± 25 μm). For conditional knockout animals, z-stacks were acquired from P75–76 Scn2afl/+::CaMKII-Cre mice and littermate controls from secondary or tertiary dendritic branches in the apical tuft (WT = 390 ± 51 μm, Scn2afl/+::CaMKII-cre = 401 ± 30 μm) and primary and secondary basal dendritic branches (WT = 98 ± 23 μm, Scn2afl/+::CaMKII-Cre = 86 ± 25 μm). Stacks were post-processed with the CANDLE denoising protocol (Coupé et al., 2012), then reconstructed using IMARIS 6 (Bitplane). Maximum intensity image projections are displayed within the main and supplemental figures using the “Red Hot” lookup table (FIJI). Full dendritic reconstructions were stitched together using pairwise stitching in FIJI before generation of maximum intensity projection.
Behavioral analyses:
Three separate cohorts of mice were assessed, blind to genotype. In the first, tests included open field, elevated plus maze, balance beam, rotarod, nesting, spontaneous alternation, grooming, response and reversal learning, and three trial social Interaction. Based on results of this screen, four trial social preference was assessed in a second cohort and response and reversal learning was assessed in the second and third cohort. Open field and elevated plus maze were also reassessed in each cohort to determine whether each cohort responded similarly in these anxiety-related assays. Open Field – Mice were transferred to the testing room 60 minutes prior to the start of testing. Mice were then placed in a clear plastic chamber (41 × 41 × 30 cm) and allowed to explore. Movement in the center and outer periphery were recorded by an array of 16 × 16 photobeams (San Diego Instruments).
Elevated plus maze
Mice were placed at the center of an elevated plus maze consisting of two open arms (5.715 cm wide, 70.485 cm long), and two enclosed arms (5.715 cm wide, 70.485 cm long, 16.51cm walls) elevated 63 cm above the ground and were allowed to explore for 10 minutes. Location, distance travelled, and arm entries were measured by infrared photobeam breaks.
Balance beam
On day 1, mice were first trained to talk across a wide beam (37 cm long x 15.875 mm diameter circular beam) over two guided trials. Following training, mice completed three trials (15-minute inter-trial interval) where they were placed end of the beam and traversed the wide beam unguided into an opposing dark chamber. On day 2 the mice completed three trials using a medium beam (37 cm x 12.7 mm diameter circular beam), and on day 3 three trials were completed on the small beam (37 cm x 6.35 mm wide square beam). For each tested trial, the latency to traverse, number of foot slips, and falls were recorded. All testing was performed under normal light conditions.
Rotarod
Mice were trained on a rotarod apparatus over three trials (inter-trial interval 15 minutes) with the rod rotating at a constant speed of 16 rotations per minute (RPM). Following training, mice were tested on 2 consecutive days with 2 sessions of 3 trials each (2-hour inter-session interval, 15-minute inter-trial interval) in which mice were placed on a rotatrod apparatus that gradually accelerated from 4 RPM to 40 RPM in 4 rpm increments every 30 seconds. Trials would end when the mouse would fall off the apparatus or after 5 minutes. All testing was performed under normal light conditions.
Nesting
Mice were placed in a standard mouse cage with 2 cm of paper chip bedding and a single nestlet (5 cm square of pressed cotton batting). Nests in the cage were then scored 2, 6, and 24 hours after the introduction of the mouse on the following scale: 0 = nestlet untouched, 1 = less than 10% of the nestlet is shredded, 2 = 10–50% of the nestlet is shredded but there is no shape to the nest, 3 = 10–50% of the nestlet is shredded and there is shape to the nest, 4 = 50–90% of the nestlet is shredded but there is no shape to the nest, 5 = 50–90% of the nestlet is shredded and there is shape to the nest, 6 = Over 90% of the nestlet is shredded but the nest is flat, 7 = Over 90% of the nestlet is shredded and the nest has walls that are as tall as the mouse on at least 50% of its sides. Half scores were given to nests that lacked well-defined walls but had clear indentations in the middle where the mouse could sit.
Spontaneous Alternation
Mice were placed in an arm of a Y-maze consisting of three arms (30 × 5.5 × 15 cm) and allowed to explore for 6 minutes. Successful alterations were counted when the mouse entered all three arms in succession without repeating an arm. Percent alternation was calculated by the total number of alterations in 6 minutes/(total number of entries − 2) * 100. Entries were defined as all four paws entering an arm.
Grooming
Mice were placed in a clear plastic container and left undisturbed for 20 minutes. Following 10 minutes of habituation, the number of grooming bouts and the total time spent grooming during the subsequent 10-minute period were then manually scored.
Response and reversal learning
Mice were singly housed and habituated to the testing room for two days prior to the start of testing. Under red light conditions, mice were placed in the start of a water T-maze (10 cm wide, 31 cm long and 17 cm tall) and were required to locate a submerged escape platform at the end of either the right of left arm of the T-maze. Mice performed 4 trials per day in 2 sessions of 2 trials each (3-hour inter-session interval and 15 minute inter-trial interval) for four consecutive days. The platform location remained in the same location across trials for each mouse, and platform location was counterbalanced between mice. On day 5, the platform location was moved to the opposite arm and mice were required to learn the new platform location. Mice performed 6 trials a day in 2 separate sessions of 3 trials (3-hour inter-session interval and 15 minute inter-trial interval) for 4 consecutive days. The maximum length of each trial was 60 seconds, and if mice failed to find the platform within the time limit they were guided to the platform. After successfully finding the platform, the mice were allowed to remain for 10 seconds. Trials were considered incorrect if the mouse entered failed to enter the correct arm first or if the trial time limit expired. All trials were recorded and tracked using Ethovision (Noldus).
Social Approach
Testing was conducted with a white acrylic box divided into two chambers with clear acrylic dividers containing arch-shaped entrances at their center (24in. long, divided into two 12 in chambers, 16 in. wide, and 8.75 in. tall). The chambers contained 10cm square, open-bottomed social enclosures made of clear acrylic with two staggered rows of small access holes (0.5cm in diameter) 2.5cm from the bottom on the 2 sides of the enclosures facing toward the center of the chamber. On day one, mice were first habituated to the empty testing apparatus in 3 10-minute sessions (Mice were returned to their home cage for at least 10 minutes between sessions). On day 2, mice were allowed to explore the empty apparatus for a fourth habituation trial. Social approach was then assessed in a fifth trial by placing a stimulus mouse in one of the two enclosures and the test mouse was allowed to explore either the empty or social enclosures for 10 minutes. Each trial was recorded by video and analyzed with Ethovision. Interaction time was considered the total time spent sniffing within 2 cm of the social enclosures.
Four Trial Social Preference
Sex-matched stimulus mice were habituated to the enclosures for 3 10-minute sessions, between which they were returned to their home cages for at least 10 minutes. Both the experimental and stimulus mice were brought into testing room and given one hour to acclimate to the normal lighting conditions and room prior to testing. For trial 1, the stimulus and toy mouse (Hexbug 480–4466, white) were placed in the enclosures, after which the experimental mouse was placed in the chamber and given 10 minutes to freely explore the box and interact with the social enclosures. The stimulus and experimental mouse were then returned to their home cages for 1 hour before starting trial 2. Trial 2 and 3 proceeded identically to trial 1, using the same stimulus mouse in the same social enclosure. Trial 4 proceeded as in trials 1–3, however the toy mouse was replaced with a novel sex-matched stimulus mouse. For three trial social interaction, only trials 1–3 were assessed. Social preference was assessed on trial 4. Each trial was recorded by video and analyzed with Ethovision. Interaction time was considered the total time spent sniffing within 2 cm of the social enclosures.
Modeling:
A pyramidal cell compartmental model was implemented in the NEURON environment (v7.5), with baseline distributions of NaV1.2 and NaV1.6 set as previously described (Ben-Shalom et al., 2017), based on a pyramidal cell model by Hallermann et al. (2012). For phase plane comparisons, the first AP evoked with 2.2 nA stimulus intensity (100 ms duration) were compared in each model configuration. For backpropagation into dendritic arbors, stimuli were shorted to 20 ms to match empirical stimulus conditions (STDP). Stimulus intensity was increased to 2.7 nA. Relative distributions of NaV1.2 and NaV1.6 in the proximal AIS, soma and dendrite were adjusted as described in figure legends. AP waveforms were assessed at 5 locations along the apical dendrite, and AP amplitude was defined as the difference between AP peak Vm and AP threshold (when voltage first exceeds 15 V/s).
Chemicals:
Fluo-5F pentapotassium salt, and Alexa Fluor 594 hydrazide Na+ salt were from Invitrogen. Picrotoxin, R-CPP, and NBQX were from Tocris. TTX-citrate was from Alomone. All others were from Sigma.
Quantification and Statistical Analysis
Data are summarized either as single points with error bars (mean ± standard error) or with box plots depicting the median, quartiles, and 90% tails with individual datapoints overlaid. n denotes cells for all electrophysiology, spines for spine morphology, and animals for behavior. Data were obtained from 2–9 mice per condition for electrophysiology and imaging experiments. Behavioral cohorts were randomized and the experimentalist was blind to genotype. For electrophysiology and imaging experiments, acute slices were typically prepared from WT and conditional or constitutive Scn2a+/− littermates simultaneously (genotype blind to experimentalists), with experiments interleaved between the two genotypes to control for recording conditions. Group sample sizes were chosen based on standards in the field, and no statistical methods were used to predetermine sample size. Unless specifically noted, no assumptions were made about the underlying distributions of the data and two-sided, rank-based nonparametric tests were used. Statistical tests are noted throughout text. Significance was set at an alpha value of 0.05, with a Bonferroni correction for multiple comparisons when appropriate. Statistical analysis was performed using Prism 8 (Graphpad Software), Statview (SAS), and custom routines in Matlab R2016b (Mathworks), Python 3.6.4 and R 3.4.3.
Supplementary Material
KEY RESOURCES TABLE
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Bacterial and Virus Strains | ||
AAV5-Ef1α-Cre-mCherry | UNC Viral Core | N/A |
Chemicals, Peptides, and Recombinant Proteins | ||
NBQX disodium salt | Tocris | 0373 |
Tetrodotoxin-citrate | Alomone | T-550 |
(R)-CPP | Tocris | 0247 |
Picrotoxin | Tocris | 1128 |
Fluo-5F, Pentapotassium Salt, cell impermeant | Invitrogen | F14221 |
Alexa Fluor 594 hydrazide | Invitrogen | A10438 |
Prolong Gold Antifade with DAPI | Life Technologies | P36941 |
Experimental Models: Organisms/Strains | ||
Mouse: Ai14: 6;129S6-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J | The Jackson Laboratory | JAX: 007908 |
Mouse: C57B6J | The Jackson Laboratory | JAX: 000664 |
Mouse: B6.Cg-Tg(Camk2a-cre)T29–1Stl/J | The Jackson Laboratory | JAX:005359 |
Mouse: Scn2a+/− | M. Montal / E. Glasscock |
PMID: 10827969, 28334922 |
Mouse: Scn2a+/fl | This study | N/A |
Software and Algorithms | ||
IGOR Pro | Wavemetrics | RRID:SCR_000325; v6.3 |
FIJI | https://fiji.sc/ | RRID:SCR_002285 |
MATLAB | Mathworks | RRID:SCR_001622; v2016a |
Python | pythn.org | RRID:SCR_008394; v3.5.2 |
IMARIS | Bitplane | RRID:SCR_007370; v6.3 |
Prism | Graphpad | RRID:SCR_002798; v8 |
Statview | SAS | v5.0.1 |
Ethovision | Noldus | RRID:SCR_000441 |
Highlights.
Protein truncation in SCN2A/NaV1.2 bears considerable autism spectrum disorder risk
NaV1.2 governs action potential initiation in immature neocortical pyramidal cells
Mature Scn2a+/− neurons have impaired dendritic excitability and excitatory synapses
Cell-autonomous loss of NaV1.2 in mature cells alone impairs synaptic function
Acknowledgments:
We are grateful to Drs. E. Glasscock and M. Montal for providing Scn2a+/− mice, and to Drs. G. Davis, K. Kay, D. Manoli, M. Scanziani and members of the Bender and Sanders labs for critically assessing this work. Behavioral data were obtained with the help of Dr. M. Gill and the Gladstone Institutes’ Neurobehavioral Core. CaMKII-Cre::Ai14 image acquisition and analysis of dendritic spines was performed at the Gladstone Institutes’ Histology & Light Microscopy Core. This research was supported by SFARI grant 513133 (KJB), the Natural Sciences and Engineering Research Council (NSERC) of Canada PGS-D Scholarship (PWES), National Institutes of Health Grant No. F32 NS095580 (RBS) and R01 MH110928 (SJS).
Footnotes
Declaration of interests: none declared.
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