Skip to main content
Nature Communications logoLink to Nature Communications
. 2016 Nov 9;7:13340. doi: 10.1038/ncomms13340

Decrease of SYNGAP1 in GABAergic cells impairs inhibitory synapse connectivity, synaptic inhibition and cognitive function

Martin H Berryer 1,2, Bidisha Chattopadhyaya 1,2, Paul Xing 1,2, Ilse Riebe 1,3, Ciprian Bosoi 2, Nathalie Sanon 2, Judith Antoine-Bertrand 4, Maxime Lévesque 5, Massimo Avoli 5, Fadi F Hamdan 2, Lionel Carmant 1,2, Nathalie Lamarche-Vane 4, Jean-Claude Lacaille 1,3,*, Jacques L Michaud 1,2,6,a,*, Graziella Di Cristo 1,2,a,*
PMCID: PMC5105197  PMID: 27827368

Abstract

Haploinsufficiency of the SYNGAP1 gene, which codes for a Ras GTPase-activating protein, impairs cognition both in humans and in mice. Decrease of Syngap1 in mice has been previously shown to cause cognitive deficits at least in part by inducing alterations in glutamatergic neurotransmission and premature maturation of excitatory connections. Whether Syngap1 plays a role in the development of cortical GABAergic connectivity and function remains unclear. Here, we show that Syngap1 haploinsufficiency significantly reduces the formation of perisomatic innervations by parvalbumin-positive basket cells, a major population of GABAergic neurons, in a cell-autonomous manner. We further show that Syngap1 haploinsufficiency in GABAergic cells derived from the medial ganglionic eminence impairs their connectivity, reduces inhibitory synaptic activity and cortical gamma oscillation power, and causes cognitive deficits. Our results indicate that Syngap1 plays a critical role in GABAergic circuit function and further suggest that Syngap1 haploinsufficiency in GABAergic circuits may contribute to cognitive deficits.


Inline graphicGlutamatergic signalling regulation by Syngap1 has been linked to intellectual disabilities. Here, the authors find Syngap1 also regulates cortical GABAergic synaptic signalling development and that this reduced inhibitory signalling contributes to cognitive deficits in a mouse model.


Long-term changes in the strength of synaptic transmission are thought to be critical both during brain development and for learning and memory throughout life. The Ras family GTPases, their downstream signalling proteins and upstream regulators are key biochemical cascades modulating synaptic plasticity. SYNGAP1 codes for a GTPase-activating protein (GAP) that physically interacts with the small GTPase Ras, which in turn acts in a cycle as a molecular switch with an active GTP-bound form and an inactive GDP-bound form1,2. Ras has a slow intrinsic GTPase activity, and GAPs such as SYNGAP1 negatively regulate Ras by enhancing the hydrolysis of GTP to GDP. The importance of SYNGAP1 in synaptic plasticity is exemplified by the fact that de novo mutations in the SYNGAP1 gene cause moderate or severe intellectual deficiency (ID)3,4,5,6,7,8,9. SYNGAP1 function has been mainly studied in excitatory neurons. For example, in primary neuronal cultures, SYNGAP1 functions to limit excitatory synapse strength by restricting the expression of the AMPA receptor (AMPAR) at the postsynaptic membrane1,2,10,11. In mice, Syngap1 haploinsufficiency causes abnormal synaptic plasticity as well as behavioural abnormalities and cognitive deficits12,13,14,15. Syngap1+/− mice are also characterized by enhanced excitatory synaptic transmission early in life and the premature maturation of glutamatergic synapses16,17. Thus, it has been proposed that glutamatergic synaptic alterations represent the main contributing factor for the occurrence of cognitive and behavioural deficits16,17.

During healthy cortical network activity, excitation is precisely balanced by GABAergic inhibition. Inhibitory activity not only regulates circuit excitability, but also restricts the temporal window for integration of excitatory synaptic inputs and resulting spike generation, thereby facilitating an accurate encoding of information in the brain18. In addition, GABAergic cells are implicated in generating temporal synchrony and oscillations among networks of pyramidal neurons, which are involved in complex cognitive functions, such as perception and memory19,20. Furthermore, GABAergic inhibition plays a critical role in modulating developmental plasticity in the young brain21. Highlighting the importance of GABA interneurons in cognitive functions, cortical circuits in several mouse models of ID and autistic-like behaviour show excitation/inhibition imbalance, which is due to alterations in glutamatergic or GABAergic neurotransmission, or more often, in both16,22,23,24,25,26,27. Whether and to what extent Syngap1 haploinsufficiency affects GABAergic cell circuits, thus contributing to excitation/inhibition imbalance and cognitive abnormalities remains unclear.

Here, we examined the specific contribution of Syngap1 to the formation of perisomatic innervations by parvalbumin-positive basket cells, a major population of GABAergic neurons, by single-cell deletion of Syngap1 in cortical organotypic cultures. In addition, we generated mice with specific deletion of Syngap1 in GABAergic neurons generated in the medial ganglionic eminence (MGE) to assess its role in the establishment of mature GABAergic connectivity and mouse cognitive function in vivo. We found that Syngap1 strongly modulated the formation of GABAergic synaptic connectivity and function and that MGE cell-type specific Syngap1 haploinsufficiency altered cognition.

Results

Single-cell Syngap1 knockdown reduced PV+ cell innervations

Syngap1 expression peaks when the processes of synaptogenesis and developmental plasticity are heightened28. While its expression in glutamatergic cell is well documented1,14,15,16,29,30,31,32, few studies have also reported SYNGAP1 expression in GABAergic neurons17,33,34. To confirm that SYNGAP1 is present in GABAergic neurons, we prepared dissociated neuronal cultures from E18 wild-type embryos and immunostained them for GAD67, which is the main GABA synthesizing enzyme35, and SYNGAP1 at DIV21, after the peak of synapse formation. We found that GAD67-positive cells co-localized with SYNGAP1 (Supplementary Fig. 1a, 63±5% co-localization), indicating that SYNGAP1 is indeed expressed by GABAergic neurons.

GABAergic circuits comprise an astonishing variety of different cell types, exhibiting differences in molecular, morphological and electrophysiological properties19. These differences are particularly important in the light of recent discoveries suggesting that different GABAergic cell types are recruited by different behavioural events19. Among the different GABAergic neuron subtypes, the parvalbumin-expressing (PV+) basket cells comprise the largest subpopulation in cortical circuits19. Each PV+ basket cell innervates hundreds of neurons, with large, clustered boutons targeting the soma and the proximal dendrites of postsynaptic targets, an optimal location to control timing and frequency of action potential generation19,36. Such distinct features of PV+ basket cell innervations are achieved during the first postnatal month in rodents and are modulated by neural activity levels35,37,38,39. We found that almost the totality of PV+ basket cells express SYNGAP1 in dissociated neuronal cultures (Supplementary Fig. 1b) and thus we sought to investigate whether Syngap1 plays a role in the formation of the innervation of PV+ basket cells, by inducing single-cell Syngap1 deletion in cortical organotypic cultures.

To reduce Syngap1 expression in isolated PV+ basket cells and simultaneously label their axonal arbours at synaptic resolution, we used a previously characterized promoter region PG67 (ref. 37) to express either the Cre recombinase together with GFP (PG67-GFP/Cre) or GFP alone (PG67-GFP; control basket cells) in cortical organotypic cultures prepared from Syngap1flox/flox mice35,37,38,39,40. In organotypic cultures, PV+ basket cells initially display very sparse and simple axons, which develop into complex and highly branched arbours in the following 4 weeks, recapitulating the in vivo situation37,38. We chose to induce Syngap1 deletion in PV+ basket cells at Equivalent Postnatal day 10 (EP10=cultured prepared at Postnatal day 4+6DIV) and collect the cultures at EP24 because extensive and stereotyped maturation of PV+ basket cell innervations occurs during this time window37,37,38,39,40,41.

We investigated two aspects of PV+ basket cell axon innervation: (1) the extent of perisomatic innervation around single neuronal somata (terminal branching and perisomatic bouton density) and (2) the fraction of potentially innervated cells in the field (percentage of innervation). By studying the localization of pre- and post-synaptic markers and performing electron microscopy, we have previously shown that the vast majority of GFP-labelled boutons in our experimental condition represent presynaptic terminals35,37,42.

Whereas control basket cells at EP24 showed complex perisomatic innervations (Fig. 1a,b), Syngap1 knockdown in single-basket cells from EP10-24 induced a significant reduction in the number of both axonal branching and synaptic boutons innervating the target neurons (NeuN-positive cells; Fig. 1c–f: boutons/soma, 7.4±0.3 for control versus 5.2±0.5 for basket cells transfected with PG67-GFP/Cre; Students t-test P=0.002). On the other hand, the percentage of potentially innervated neurons were not significantly different between the two groups (Fig. 1g: 71%±2 for control versus 66%±2 for basket cells transfected with PG67-GFP/Cre; Students t-test, P=0.125), suggesting that Syngap1 deletion specifically affected local synapse formation of PV+ basket cells but not their overall axonal growth. Syngap1 knockout at later age (EP16-24) caused a similar decrease in perisomatic bouton density (Supplementary Fig. 2, boutons/soma, 7.4±0.3 for control versus 4.7±0.5 for basket cells transfected with PG67-GFP/Cre; Students t-test P=0.00023). Altogether, these data demonstrate that Syngap1 promotes the formation of PV+ basket cell innervations in a cell-autonomous manner.

Figure 1. Single-cell Cre-mediated inactivation of Syngap1 reduces the number of cortical GABAergic basket cell boutons and terminal branching.

Figure 1

(a) Control GABAergic basket cell transfected with pGAD67-GFP (green) in EP24 cortical organotypic cultures from Syngap1flox/flox mice showing (b) rich axonal branching and numerous clustered boutons (arrowheads) around NeuN-positive somata (blue). (c,d) Conversely, a basket cell transfected with pGAD67-Cre/GFP from EP16-24 shows markedly reduced axonal branching and perisomatic boutons (arrowheads). (e) Bouton density and (f) complexity of terminal axon branching are significantly decreased in pGAD67-Cre/GFP basket cells (e: Student's t-test, *P=0.002; f: Student's t-test, P=0.045 at 8 μm and P=0.010 at 9 μm), whereas the percentage of innervated cells (g) is not affected compared with age-matched control basket cells (Student's t-test, P=0.125). n=8 basket cells transfected with pGAD67-GFP from n=5 mice; n=6 basket cells transfected with pGAD67-Cre/GFP from n=5 mice. Scale bar, (a,c) 50 μm; (b,d) 10 μm.

MGE-specific Syngap1 knockdown impaired PV cell connectivity

Our data suggest that reducing Syngap1 expression has a direct impact on the formation of PV+ basket cell innervations in vitro. To investigate the role of Syngap1 in PV+ cell circuits in vivo, we generated mice that were heterozygous or homozygous for the Syngap1flox allele and hemizygous for the Tg(Nkx2.1-Cre) transgene. This approach allowed the conditional deletion of Syngap1 in cortical,43 hypothalamic43 and mesencephalic44 (striatum) GABAergic interneurons originating from the MGE as early as embryonic day 10.5 and throughout adulthood45. In mouse, Nkx2.1-expressing MGE precursors produce most of PV+ and Somatostatin (SST)+ cortical interneurons45. To confirm the specificity of CRE expression, we fluorescently labelled the cells expressing Cre by crossing Tg(Nkx2.1-Cre);Syngap1flox/+ mice with a GFP reporter line (RCE mouse46). We confirmed that cortical GFP+ cells expressed either PV or SST (Supplementary Fig. 3; percentage of GFP+ cells expressing PV or SST, 74±7% and 25±6%, respectively, n=3 mice). Further, the large majority of cortical neurons immunopositive for PV also expressed GFP (85±6%, n=3 mice), as previously reported47.

We focused our study on Tg(Nkx2.1-Cre);Syngap1flox/+mice, since most of Tg(Nkx2.1-Cre);Syngap1flox/flox mice died at birth (9 out of 11, Tg(Nkx2.1-Cre);Syngap1flox/flox versus none of Tg(Nkx2.1-Cre);Syngap1flox/+ mice) as it is the case for Syngap1−/− mice. Therefore, Syngap1 expression in MGE-derived cells may be required for survival. Alternatively, since both Syngap1 and Nkx2.1 are expressed in the developing lungs and heart28,29,45, it is possible that the deletion of Syngap1 outside the brain is the cause underlying this early mortality.

First, we investigated whether Syngap1 haploinsufficiency restricted to MGE-derived GABAergic cells affected perisomatic innervations formed by PV+ basket cells in the cortex. In particular, we analyzed the intensity of PV immunostaining around layer 5 NeuN-positive neurons in the somatosensory cortex of P45 Tg(Nkx2.1-Cre);Syngap1flox/+ and control littermates as reported in27. In control mice, distinct PV-positive perisomatic bouton rings enclosed a large portion of the pyramidal cell soma, while PV-positive perisomatic rings were significantly less developed in Tg(Nkx2.1-Cre);Syngap1flox/+(Fig. 2a,b,e: PV mean intensity (a.u.), 15.9±0.9 for Syngap1flox/+ mice versus 10.1±0.8 for Tg(Nkx2.1-Cre);Syngap1flox/+mice; One-way ANOVA post hoc Dunn's test, P=0.00404), which suggests a decrease of perisomatic boutons made by PV+ basket cells. This effect was not restricted to the cortex, as we found a similar reduction in PV staining intensity around hippocampal CA1 pyramidal cells (PV mean intensity (a.u.), 17±2, n=52 cells from three Syngap1flox/+ mice versus 9.9±0.9, n=56 cells from four Tg(Nkx2.1-Cre);Syngap1flox/+mice; one-way ANOVA, post hoc Dunn's test, P=0.0183).

Figure 2. Both MGE-specific and germ-line Syngap1 haploinsufficiency reduce PV+ perisomatic innervation in the cortex of young adult mice.

Figure 2

(a,b) Confocal images of layer 5 pyramidal cells in somatosensory cortex of P45 mice show distinct and intense PV-positive perisomatic rings (green), which enclosed a large portion of neuronal somata (NeuN, blue) in control Syngap1flox/+ mice (a), whereas in Tg(Nkx2.1-Cre);Syngap1flox/+ mice (b) perisomatic PV-ring are less intense and often do not form a complete ring around cell somata. (c,d) Similar differences can be observed between Syngap1+/+(c) and Syngap1+/− (d) mice. (e) Quantification show that mean PV fluorescence per NeuN soma section is significantly reduced in Tg(Nkx2.1-Cre);Syngap1flox/+ and Syngap1+/− compared with their respective control littermates (One-way ANOVA with Dunn's multiple comparisons post hoc method, *P=0.00404 for Tg(Nkx2.1-Cre);Syngap1flox/+ versus Syngap1flox/+, *P=0.0274 versus Syngap1+/− for Syngap1+/+). Graph bars represent mean±s.e.m., circles represent values for each analyzed mouse. n=91 neurons from 3 Syngap1flox/+ mice; n=93 neurons from 4 Tg(Nkx2.1-Cre);Syngap1flox/+ mice, n=100 neurons from 4 Syngap1+/+, n=109 neurons from 4 Syngap1+/−. Scale bar, 10 μm.

To evaluate whether germ-line Syngap1 haploinsufficiency affects GABAergic perisomatic innervation formed by PV+ basket cells in the cortex, we performed the same analysis in Syngap1+/− and control littermates. We found a reduction in perisomatic PV-positive rings in the somatosensory cortex of Syngap1+/− mice, which was comparable to what we observed in Tg(Nkx2.1-Cre);Syngap1flox/+ (Fig. 2c–e; PV mean intensity (a.u.), 12±1, versus 8.6±0.7 from Syngap1+/+ and Syngap1+/−mice, respectively; one-way ANOVA, post hoc Dunn's test P=0.0274). Thus, Syngap1 haploinsufficiency both in germ line and MGE-derived interneurons reduced cortical PV+ basket cell bouton density in vivo.

To further investigate how Syngap1 haploinsufficiency in MGE-derived GABAergic in MGE-derived GABAergic cells affect the formation of affects the formation of PV+ basket cell axonal arbour and synaptic boutons, we prepared cortical organotypic cultures from P4 Tg(Nkx2.1-Cre);Syngap1flox/+ mice and their control littermates. PV+ basket cells were labelled by biolistic transfection of PG67-GFP. In EP24 organotypic cultures from control mice (Syngap1flox/+), NeuN-positive somata were surrounded by highly branched basket cell axonal terminals and numerous perisomatic boutons (Fig. 3a,b); on the contrary, in age-matched cultures from Tg(Nkx2.1-Cre);Syngap1flox/+ mice, we found a significant decrease of the complexity of the terminal axonal branching (Fig. 3c,d,f) as well as of the perisomatic bouton density formed by basket cell around targeted neurons (Fig. 3e; boutons/soma, 10±1 for Syngap1flox/+ versus 4.7±0.3 for Tg(Nkx2.1-Cre); Syngap1flox/+, Students t-test P=0.02). Similarly to what we observed in single-basket cell knockout of Syngap1 performed at EP10-24, the fraction of innervated somata was not affected by Syngap1 knockdown in MGE-derived PV+ basket cells at the embryonic stage (Fig. 3g, percentage of innervation, 69%±3% for Syngap1flox/+versus 67%±3% for Tg(Nkx2.1-Cre);Syngap1flox/+; Students t-test, P=0.623). All together, these data show that Syngap1 haploinsufficiency in MGE-derived neuron affects the formation of PV+ basket cell innervations in vivo.

Figure 3. Syngap1 promotes terminal axonal branching and bouton formation in cortical MGE-derived basket cells.

Figure 3

(a) A GABAergic basket cell transfected with pGAD67-GFP (green) in EP24 cortical organotypic cultures from Syngap1flox/+ mice showing dense axonal innervation and clustered perisomatic boutons (b, arrowheads) around pyramidal somata (NeuN, blue). (c) In contrast, age-matched basket cells from organotypic cultures from Tg(Nkx2.1-Cre);Syngap1flox/+mice show strongly reduced terminal axonal branching and bouton density around neuronal somata (d, arrowheads). (e,f) MGE-derived basket cells from Tg(Nkx2.1-Cre);Syngap1flox/+show significantly reduced bouton density and less developed terminal branching (e: Student's t-test, *P=0.02; f: Student's t-test, P=0.035 at 6 μm, P=0.020 at 7 μm, P=0.045 at 8 μm and P=0.020 at 9 μm) compared with age-matched basket cells from Syngap1flox/+ cultures. (g) The percentage of innervated cells does not differ between the two phenotypes (Student's t-test, P=0.623), suggesting that Syngap1 promotes the formation of local perisomatic innervations without affecting overall axonal growth. n=6 basket cells from 3 Syngap1flox/+mice; n=7 basket cells from 3 Tg(Nkx2.1-Cre);Syngap1flox/+ mice. Scale bar, (a,c) 50 μm; (b,d) 10 μm.

MGE-specific Syngap1 knockdown impaired GABA transmission

The observation that PV+ basket cells in Tg(Nkx2.1-Cre);Syngap1flox/+ formed less boutons around their potential postsynaptic targets raises the possibility of an impairment in GABAergic synaptic transmission. Thus, we examined the effects of MGE-specific Syngap1 knockdown on spontaneous inhibitory synaptic transmission in acute cortical and hippocampal slices from adult Tg(Nkx2.1-Cre);Syngap1flox/+mice and their respective control littermates. We found that mean inter-event interval (IEI) of miniature inhibitory postsynaptic currents (mIPSCs) recorded from pyramidal neurons in L2-3 somatosensory cortex was significantly longer in Tg(Nkx2.1-Cre);Syngap1flox/+mice relative to the controls (Fig. 4a,c; IEI: 92±7 ms for Syngap1flox/+ versus 143±17 ms Tg(Nkx2.1-Cre);Syngap1flox/+; linear mixed model (LMM), P=0.004186). Similarly, inter-event intervals of mIPSCs recorded from CA1 pyramidal neurons were significantly longer in Tg(Nkx2.1-Cre);Syngap1flox/+mice relative to the controls (Fig. 4e,g; IEI: 184±26 ms for Syngap1flox/+ versus 789±157 ms Tg(Nkx2.1-Cre);Syngap1flox/+; LMM, P=0.00109). Amplitude of mIPSCs was not affected in Tg(Nkx2.1-Cre);Syngap1flox/+mice compared with controls (Fig. 4a,c,e,g; LMM, P>0.5). Finally, mIPSC kinetics and mIPSC charge transfer were not significantly different for cortical and hippocampal neurons between the different genotypes (Supplementary Fig. 4). Therefore, Syngap1 haploinsufficiency in MGE-derived interneurons in vivo strongly affects GABAergic transmission in adult mice.

Figure 4. Syngap1 haploinsufficiency in MGE-derived interneurons reduces mIPSC frequency.

Figure 4

(a,b) Representative traces of mIPSCs from L2-3 pyramidal neurons in acute slices from Syngap1flox/+versus Tg(Nkx2.1-Cre);Syngap1flox/+ (a) and Syngap1+/+ versus Syngap1+/− (b) young adult mice. (c,d) mIPSC inter-event intervals are significantly longer in Tg(Nkx2.1-Cre);Syngap1flox/+compared with Syngap1flox/+ mice (c, LMM, genotype effect=−49.117, *P=0.004186), but not in Syngap1+/− versus Syngap1+/+ mice (d, LMM, genotype effect=−1.952, P=0.5703). mIPSC amplitude is not affected in either mouse line (c,d; LMM, P>0.5). (e,f) Representative traces of mIPSCs from CA1 pyramidal neurons in acute slices from Syngap1flox/+versus Tg(Nkx2.1-Cre);Syngap1flox/+ (e) and Syngap1+/− versus Syngap1+/+ (f) young adult mice. (g,h) mIPSC inter-event intervals are significantly increased in Tg(Nkx2.1-Cre);Syngap1flox/+compared with Syngap1flox/+ mice (g; LMM, genotype effect=−605.15, *P=0.00109 for IEI), but they are not significantly affected in neurons from Syngap1+/−mice compared with control littermates (h; LMM, genotype effect=0.1203, P=0.9974 for IEI). mIPSC amplitude is not affected in either mouse line (LMM, P>0.5). mIPSC frequency and amplitude are represented with Tukey boxplots (median±1.5 × interquartile range; box represents 1st–3rd quartile). The cross represents mean values. Individual cell values from the same animal are represented with the same symbols. Somatosensory cortex L2-3: n=11 neurons from n=3 Syngap1flox/+ mice; n=12 neurons from n=3 Tg(Nkx2.1-Cre);Syngap1flox/+mice; n=15 neurons from n=6 Syngap1+/+ mice; n=14 neurons from n=4 Syngap1+/−. CA1: n=9 neurons from n=4 Syngap1flox/+ mice; n=8 neurons from n=5 Tg(Nkx2.1-Cre);Syngap1flox/+mice; n=10 neurons from n=3 Syngap1+/+ mice; n=9 neurons from n=3 Syngap+/− mice.

To investigate whether inhibitory neurotransmission is also affected by germ-line deletion of Syngap1, we performed the same analysis in Syngap1+/− and control littermates. We found no difference in inter-event intervals of mIPSC recorded from either L2-3 or CA1 pyramidal neurons in Syngap1+/− compared with control mice (Fig. 4b,d,f,h; L2-3: IEI: 111±15 ms for Syngap1+/+ versus 106±11 ms for Syngap1+/−; CA1: IEI: 153±21 ms for Syngap1+/+ versus 191±28 ms for Syngap1+/−; LMM, P>0.5). mIPSC amplitude, kinetics and charge transfer were also not affected (Fig. 4b,d,f,h and Supplementary Fig. 4). The differences observed between Syngap1+/− and Tg(Nkx2.1-Cre);Syngap1flox/+ mice suggest that the concurrent Syngap1 haploinsufficiency in glutamatergic and/or in GABAergic neurons, which do not originate from the MGE alters neuronal circuit development in a manner that compensates, at least partly, inhibitory synaptic deficits originating from Syngap1 haploinsufficiency in MGE-derived GABAergic neurons.

To further confirm that Syngap1 haploinsufficiency in MGE-derived interneurons impairs functional cortical GABAergic connectivity in vivo, we targeted expression of the light-sensitive channel channelrodopsin-2 (ChR2) to MGE-derived GABAergic cells, by injecting a Cre-dependent adeno-associated virus in somatosensory cortex47 (Fig. 5a). Two-weeks post-transfection, we recorded inhibitory synaptic responses evoked by blue light pulses of different duration (input-output function) in layer 5 pyramidal cells. The amplitude of light-evoked IPSCs was significantly smaller in Tg(Nkx2.1-Cre);Syngap1flox/+ mice compared with those recorded in Tg(Nkx2.1-Cre);Syngap1+/+ littermates (Fig. 5b; two-way Repeated Measure ANOVA with Bonferroni's multiple comparison post hoc test, P<0.0001). Together with the observation that the number of cortical perisomatic boutons formed by PV+ baskets was reduced in Tg(Nkx2.1-Cre);Syngap1flox/+ (Figs 2 and 3), this result demonstrated that Syngap1 haploinsufficiency impaired GABAergic synapse formation and function of MGE-derived interneurons.

Figure 5. Syngap1 haploinsufficiency in MGE-derived interneurons reduces their synaptic output to pyramidal cells.

Figure 5

(a) Schematic of the experimental approach. pAAV.CAGGS.flex.ChR2.tdTomato.SV40 is bilaterally injected in somatosensory cortex of either Tg(Nkx2.1-Cre);Syngap1flox/+ or Tg(Nkx2.1-Cre);Syngap1+/+ young adult mice. This strategy allows ChR2 and tdTomato expression only in cells expressing Cre. (b) Upper panel. Traces of IPSCs recorded in response to light pulses of different duration in representative somatosensory cortex layer 5 pyramidal neurons in acute slices from Tg(Nkx2.1-Cre);Syngap1+/+ (black) and Tg(Nkx2.1-Cre);Syngap1flox/+ (red) mice. Lower panel. Summary graph showing data from input-output function of inhibitory responses evoked by light stimulation. The IPSC amplitudes are significantly lower in Tg(Nkx2.1-Cre);Syngap1flox/+ compared with Tg(Nkx2.1-Cre);Syngap1+/+, starting from the third point of the input-output function (two-way Repeated Measure ANOVA with Bonferroni's multiple comparison post hoc test, P<0.0001). n=4 Tg(Nkx2.1-Cre);Syngap1+/+mice (7 neurons) and n=4 Tg(Nkx2.1-Cre);Syngap1flox/+ mice (9 neurons).

MGE-specific Syngap1 knockdown affected gamma oscillations

PV+ cells represent the large majority of cortical GABAergic interneurons generated by MGE-derived precursors. Correlative, causal and computational evidence indicates that gamma oscillations in the 30–80 Hz range depend on synchronous activity of PV+ cells.48,49 Since we found that PV+ cell connectivity was reduced in both cortex and hippocampus of Tg(Nkx2.1-Cre);Syngap1flox/+ mice (Fig. 2), we hypothesized that PV+ cell synaptic impairment would lead to changes in gamma oscillatory activity in these mice.

To test this hypothesis, we measured specific oscillatory patterns by video-electroencephalogram (EEG) recordings during active exploratory behaviour. We found that in the cortex, average power in the gamma frequency band was significantly lower in Tg(Nkx2.1-Cre);Syngap1flox/+ animals compared with control littermates (Fig. 6; 0.27±0.02 versus 0.32±0.02 for Tg(Nkx2.1-Cre);Syngap1flox/+ and Syngap1flox/+, respectively; Wilcoxon rank sum test, P=0.01). Similar results were observed in the hippocampus (Fig. 6c; 0.29±0.02 versus 0.335±0.005 for Tg(Nkx2.1-Cre);Syngap1flox/+ and Syngap1flox/+, respectively; Wilcoxon rank sum test P=0.001). Taken together, these data demonstrate that Syngap1 haploinsufficiency in MGE-derived interneurons alters brain network activity, which in turn may contribute to cognitive deficits.

Figure 6. Syngap1 haploinsufficiency in MGE-derived interneurons impairs cortical gamma oscillations during active exploration in awake mice.

Figure 6

(a,b) Representative examples of EEG recordings from the cortex of adult (a) Syngap1flox/+ and (b) Tg(Nkx2.1-Cre);Syngap1flox/+mice with corresponding spectrogram. Note that although theta oscillations (red boxes) are detected in both animals, gamma power is lower in Tg(Nkx2.1-Cre);Syngap1flox/+during these oscillations. (c) Bar graph showing the average power in the gamma frequency band in the cortex and the hippocampus for both groups. Note that in both regions, Tg(Nkx2.1-Cre);Syngap1flox/+ showed less power in the gamma frequency band (Wilcoxon rank sum tests, *P=0.005, **P=0.0006). n=3 mice for both genotype.

MGE-specific Syngap1 knockdown caused cognitive deficits

While Syngap1−/− mice die within the first days after birth, adult Syngap1+/− mice showed behavioural and cognitive deficits, including hyperactivity, anxiolysis, abnormal reference, working and social memories12,14,15,16,17. We have previously proposed that Syngap1+/−mice represent an appropriate model to study the cognitive and behavioural abnormalities associated with the disruption of SYNGAP1 in humans, as pathogenic mutations documented up to now in this gene are predicted to cause a loss-of-function.7

To understand to what extent Syngap1 haploinsufficiency in MGE-derived GABAergic neurons may contribute to the cognitive and behavioural deficits observed in Syngap1+/− mice, we compared the performance of young adult Syngap1+/−, Tg(Nkx2.1-Cre);Syngap1flox/+mice and their respective control littermates in several behavioural tests. We first assessed the locomotion activity using the open-field arena. Relative to their wild-type littermates, Syngap1+/− mice travelled more during a 10 min session (Fig. 7a; 40±4 m for Syngap1+/+ versus 57±6 m for Syngap1+/−, Mann–Whitney rank-sum test, P=0.0032), which is consistent with previously published observations12,14,15,16. These results indicate that Syngap1+/− mice are hyperactive and that they do not display major locomotor deficits. Next, we tested anxiety-like behaviour using the elevated plus-maze test. Syngap1+/− mice spent significantly more time in the open arms than the wild-type littermates (Fig. 7b; 10±2% for Syngap1+/+ versus 25±4% for Syngap1+/−, Student's t-test, P=0.01), suggesting a reduced level of anxiety-like behaviour in the germ-line Syngap1 heterozygous mice, as reported in previous studies14,16. Conversely, Tg(Nkx2.1-Cre);Syngap1flox/+ showed normal levels of locomotion and anxiety-like behaviour compared with Syngap1flox/+mice (Fig. 7a,b; for open field: 45±5 m for Syngap1flox/+ versus 51±6 m for Tg(Nkx2.1-Cre);Syngap1flox/+, Mann–Whitney rank sum test, P=0.503; for elevated plus maze: 15±3% for Syngap1flox/+ versus 21±3% Tg(Nkx2.1-Cre);Syngap1flox/+, Student's t-test, P=0.136).

Figure 7. Tg(Nkx2.1-Cre);Syngap1flox/+ mice show cognitive deficits that partially recapitulate those observed in Syngap1+/−mice.

Figure 7

(a,b) Syngap1+/−mice show hyperactivity (a; Mann–Whitney rank sum test, *P=0.0032) and altered stress levels (b; Student'st -test, *P=0.01), while Tg(Nkx2.1-Cre);Syngap1flox/+ mice behave similarly to their control littermates in the open field (a) and elevated plus maze (b) tests (a; Mann–Whitney rank sum test, P=0.503, b: Student's t-test, P=0.136; NS, not significant). (c,d) Syngap1+/−mice (c) and Tg(Nkx2.1-Cre);Syngap1flox/+ (d) mice show social novelty preference impairment and spend similar amount of time in the chambers with either the novel (Stranger 2) or the familiar mouse (stranger 1), contrary to their control littermates, which spend more time with the novel mouse (Stranger 2 × Stranger 1 × Genotype, Two-way ANOVA with Sidak's multiple comparison post hoc test, *P<0.05). (e) Both Tg(Nkx2.1-Cre);Syngap1flox/+ and Syngap1+/−mice perform worse than their littermates on the T-maze test (Student's t-test, *P=0.035 for Syngap1+/−versus Syngap1+/+ and *P=0.038 for Tg(Nkx2.1-Cre);Syngap1flox/+ versus Syngap1flox/+). Open field and Elevated T-Maze: n=12 Syngap1+/+, n=11 Syngap1+/−, n=12 Syngap1flox/+, n=11 Tg(Nkx2.1-Cre);Syngap1flox/+ mice. For three-chamber test: n=10 Syngap1+/+, n=10 Syngap1+/−, n=10 Syngap1flox/+, n=16 Tg(Nkx2.1-Cre);Syngap1flox/+ mice. For T-maze, n=15 Syngap1+/+, n=9 Syngap1+/−, n=13 Syngap1flox/+ n=9 Tg(Nkx2.1-Cre);Syngap1flox/+mice.

Several mouse models of ID and autism exhibit reduced social interaction behaviour17,23. We tested social interactions in Syngap1+/− and Tg(Nkx2.1-Cre);Syngap1flox/+ and their respective littermates. After a habituation period, we evaluated sociability by assessing the preference of the tested mice for an unknown wild-type conspecific mouse matched for age, sex and background versus an empty wire cage (Supplementary Fig. 5). Mice of all genotypes spent significantly more time with an unfamiliar mouse (stranger 1) relative to the empty wire cage (Supplementary Fig. 5, two-way ANOVA P<0.05), indicating that social approach behaviour was normal in Syngap1+/− and Tg(Nkx2.1-Cre);Syngap1flox/+ relative to their respective control littermates. Next, we tested whether social novelty preference was affected in these mice by assessing the preference for a second stranger mouse. Syngap1+/+ and Syngap1flox/+ mice spent significantly more time in the chamber containing the novel mouse (stranger 2) than in the chamber with the familiar one (stranger 1; Fig. 7c,d; stranger 2 vs stranger 1 (in s): 271±29 versus 184±22 for Syngap1+/+; 297±27 versus 187±18 for Syngap1flox/+; two-way ANOVA post hoc Sidak's multiple comparisons test P<0.05). In contrast, both Syngap1+/− and Tg(Nkx2.1-Cre);Syngap1flox/+ spent similar amount of time with the novel versus the familiar mice (Fig. 7c,d, stranger 2 versus stranger 1 (in s): 245±23 versus 203±20 for Syngap1+/−; 279±26 versus 216±32 for Tg(Nkx2.1-Cre);Syngap1flox/+; two-way ANOVA post hoc Sidak's multiple comparisons test P>0.05), indicating deficits in social novelty preference in both Syngap1+/− and Tg(Nkx2.1-Cre);Syngap1flox/+ mice.

Finally, we tested spatial working memory by measuring spontaneous alternation in the T-maze. Spontaneous alternation was strongly altered in both Syngap1+/− and Tg(Nkx2.1-Cre);Syngap1flox/+ relative to their respective control littermates (Fig. 7e; 67±6% for Syngap1+/+ versus 41±11% for Syngap1+/−, Student's t-test P=0.035, and 64±7% for Syngap1flox/+ versus 33.333±11% for Tg(Nkx2.1-Cre);Syngap1flox/+, Student's t-test P=0.038), suggesting impaired spatial working memory in both mutant lines. On the other hand, we found that Tg(Nkx2.1-Cre) mice showed no statistical difference in locomotion, anxiety, spontaneous alternation and social recognition behaviour (Supplementary Fig. 6). All together, these data show that specific inactivation of Syngap1 in MGE-derived interneurons recapitulates at least in part the behavioural and cognitive alterations observed in mice with germ-line Syngap1 haploinsufficiency.

Discussion

Our data show that Syngap1 is required for the proper terminal axonal branching and bouton formation of cortical GABAergic PV+ basket cells, both in organotypic cortical cultures and in vivo. Further, MGE-restricted Syngap1 haploinsufficiency causes deficits in cortical evoked-inhibitory synaptic transmission and gamma oscillations and specific impairments in social novelty preference and working memory, in adult mice. In contrast, a recent study did not observe any cognitive deficits in Gad2-cre;Syngap1flox/+ mice17. One possible explanation for this discrepancy is that Nkx2.1 and Gad2 may be expressed at different developmental time points. In fact, Nkx2.1 is already expressed in all MGE-derived GABAergic interneurons by E10.5. (ref. 45) On the other hand, while Gad2 transcription starts early during embryogenesis50 (around E11.5), it is possible that not all GABAergic cells express it at the same time. For example, GAD65, which is coded by Gad2, is barely expressed before P6 in rodent somatosensory cortex51. Syngap1 haploinsufficiency appears to disrupt the function of excitatory circuits mainly by affecting their early synaptic development16,17. Our observations suggest that Syngap1 is also required during the early phases of the development of GABAergic circuit connectivity.

Another major difference is that, while Gad2 is expressed by most GABAergic interneurons, Nkx2.1 is expressed only by interneurons derived from the MGE, which include PV+ and SST+ interneurons but not, for example, those positive for the vasoactive intestinal polypeptide (VIP). Recent results demonstrate that VIP-expressing neurons form a disinhibitory microcircuit that is conserved across cortical regions52. In particular, VIP interneurons tend to inhibit most SST+ and a fraction of PV+ interneurons. Inhibition of these interneurons in turn disinhibits principal cells in vivo, providing a form of gain control.52 It is possible that removing Syngap1 in all interneurons may allow homeostatic synaptic adjustments that are not otherwise engaged when Syngap1 is removed only in MGE-derived interneurons. It will therefore be important to assess whether and how Syngap1 regulates the synaptic connectivity of distinct GABAergic interneuron types other than PV+ basket cells.

Disruption of excitatory/inhibitory balance is emerging as a common theme for many neurodevelopmental disorders53,54. However, the critical challenge is to understand how specific circuit alterations resulting from mutations affect the development of cognitive abilities. Our study suggests new avenues of research for the understanding of mechanisms involved in SYNGAP1-related ID. For example, our results showed that Syngap1 plays a role in the formation of perisomatic synapses by PV+ basket cells. GABAergic neurotransmission from these cells promotes network gamma oscillations48,55. Cortical gamma oscillations increase in power during tasks that require complex processing of sensory information, attention, working memory and cognitive control, suggesting that gamma oscillations are crucial for cognition56. Interestingly, substantial evidence indicates that individuals with specific psychiatric disorders, such as schizophrenia or autism, show lower power of gamma oscillations induced during the performance of cognitive tasks compared with healthy individuals57,58. Here, we showed that MGE-specific Syngap1 haploinsufficiency leads to reduced gamma oscillation power during exploration, which in turn may contribute to the occurrence of cognitive deficits. It will be interesting to explore the presence of alterations in brain oscillations in patients carrying SYNGAP1 mutations. Furthermore, cortical GABAergic inhibition, in particular the one mediated by PV+ cells, has been suggested to play a key role in critical period plasticity in the developing brain21,59. Critical periods represent heightened epochs of brain plasticity during childhood, during which experience can produce permanent, large-scale changes in neuronal circuits. By regulating critical period plasticity, PV+ cell-mediated inhibition may influence how experience shapes brain wiring during early life. As a consequence, altered PV cell connectivity and function could drive cortical neuronal circuits along abnormal developmental trajectories, which could then contribute to cognitive dysfunction. Ultimately, the understanding of SYNGAP1 function in specific inhibitory and excitatory circuits might lead to the development of tailored therapies.

MGE-derived interneurons include PV+ basket cells and SST+ interneurons60, thus alterations in the synaptic connectivity of this latter group may also contribute to the cognitive deficits that were observed in Tg(Nkx2.1-Cre);Syngap1flox/+ mice. Further, it is very likely that altered GABAergic signalling results in either causal or compensatory alterations in non-GABA circuits as well, which can further play a role in cognitive dysfunctions in mutant mice. The main challenges will be to understand when these alterations arise and whether and to what extent cognitive deficits are due to either altered neural circuit development leading to diverse changes in brain and behaviour and/or a state of continuous synaptic dysfunction in adulthood.

Haploinsufficiency of the NF1 gene, which also codes for a RasGAP, causes neurofibromatosis type 1, a complex neuro-cutaneous condition that is associated with cognitive impairment and autism spectrum disorders. Decrease of Nf1 induces deficits in hippocampal-dependent spatial learning, amygdala dependent-social learning and prefrontal cortex-dependent working memory by increasing GABA release in these different areas of the brain through the activation of the Ras–ERK pathway61,62,63,64. The increase of Ras thus appears to produce opposite effects on GABA neurotransmission depending upon whether it is associated with Syngap1 or Nf1 haploinsufficiency. How can we explain this paradox? One possibility is that Syngap1 and Nf1 affect Ras activity at different time points during the development of GABAergic circuits. As discussed above, Syngap1 haploinsufficiency might impact the establishment of GABAergic connectivity by acting during early synaptic development. Nf1 might on the other hand modulate GABA release in mature synapses. Alternatively, it is possible that SYNGAP1 and the Nf1 product, neurofibromin, function in distinct subcellular compartments of GABAergic neurons and thus regulate different processes. SYNGAP1 is associated with NMDA receptor complexes at the postsynaptic membrane of glutamatergic neurons1,2,29, raising the possibility that it also interacts with such receptors in GABAergic neurons65. In contrast, neurofibromin has been shown to localize to smooth vesiculotubular elements, cisternal stacks and multivesicular bodies in the cell body and dendrites of Purkinje cells, but not with the plasma membrane66. All together, these observations suggest that SYNGAP1 and neurofibromin modulate the development and function of GABAergic cells by regulating differently the spatial and/or temporal activity of Ras.

In summary, our study suggests that Syngap1 haploinsufficiency affects GABAergic circuit connectivity and function, which in turn may contribute to cognitive alterations. Further studies will be required to determine whether pharmacological interventions during development can rescue these deficits.

Methods

Mice

All procedures described here had been approved by the Comité Institutionnel de Bonnes Pratiques Animales en Recherche (CIBPAR) of the Research Center of Sainte-Justine Hospital in accordance with the principles published in the Canadian Council on Animal's Care's (Guide to the Care and Use of Experimental Animals, Feb 91). Syngap1+/− mice were kindly provided by Dr Seth Grant (Edinburgh University, United Kingdom) and Syngap1flox/flox by Drs. Irene Knuesel and Mary Muhia (University of Zurich, Switzerland). They were generated and genotyped as described in refs 10, 15. They were maintained as a heterozygous line onto a C57Bl/6 background. Syngap1flox/floxmice were crossed with a mouse line bearing a transgene encoding the enzyme Cre recombinase under the control of the Nkx2.1 promoter (Jackson Laboratory #008661). This promoter drives the expression of the Cre protein in GABAergic interneurons derived from the MGE starting at embryonic day 10.5 (ref. 45). The resulting animals were referred to as Tg(Nkx2.1-Cre);Syngap1flox/+ mice. To obtain Tg(Nkx2.1-Cre);Syngap1flox/flox mice, we crossed Tg(Nkx2.1-Cre);Syngap1flox/+ individuals with Syngap1flox/flox mice. To validate the specificity of Cre expression, we backcrossed these mice with a GFP reporter line (RCE mouse46). Animals of both sexes were used in all the experiments.

Primary cortical neuron culture

Cortical neurons from E18 rat embryos were dissociated mechanically and plated on dishes treated with poly-D-lysine (0.1 mg ml−1; Sigma-Aldrich, St. Louis, MO). Neurons were cultured overnight in attachment medium: MEM (Invitrogen) supplemented with 1 mM sodium pyruvate (Invitrogen), 0.6% D-glucose (Sigma-Aldrich) and 10% horse serum. The medium was replaced the next day with maintenance medium: Neurobasal-A medium (Invitrogen) supplemented with 2% B27 (Invitrogen) and 1% L-glutamine (Invitrogen). The maintenance medium was replaced with fresh medium at 3DIV. Subsequently, the medium was replaced every 6 days with maintenance medium until collecting the cells. Cultures were incubated in a humidified incubator at 37 °C with a 5% CO2-enriched atmosphere during 21 days then were fixed in 100% methanol (−20 °C) for 5 min. The fixation was stopped by adding 0.3 M glycine for 5 min. Neurons were permeabilized with 0.25% Triton in phosphate buffer pH 7.4, washed and blocked for 0.5 h in 3% BSA at room temperature. Cultures were then incubated for 1 h with anti-GAD67 antibody (mouse, 1:200, Abcam #26116) or anti-PV antibody (mouse, 1:500, Sigma, #P3088) and anti-SYNGAP1 antibody (rabbit, 1:200, Abcam #3344), followed by incubation with Alexa 488-conjugated IgG (goat anti-rabbit, 1:400, Invitrogen #A-11008) and Alexa 555-conjugated IgG (goat anti-mouse1:400, Invitrogen #A-21422) for 0.5 h at room temperature (RT), then mounted in Prolong (Invitrogen #P-7481) and stored at 4 °C. Images were acquired using a confocal microscope (LEICA TCS SPE or Leica TSC SP8).

Cortical organotypic culture and biolistic transfection

Slice culture preparation and gene gun transfection were performed as described in37,40. Briefly, brains from postnatal days 4–5 Syngap1flox/flox, Tg(Nkx2.1-Cre);Syngap1flox/+and Syngap1flox/+ were sliced coronally (400 μm thick) using a chopper (Stoelting). Slices were plated on Millicell membrane inserts. Culture medium (containing DMEM, 20% horse serum, 1 mM glutamine, 13 mM glucose, 1 mM CaCl2, 2 mM MgSO4, 0.5 μM ml−1 insulin, 30 mM HEPES, 5 mM NaHCO3, and 0.001% ascorbic acid) was placed under the membrane inserts. Slices were incubated in a humidified incubator at 34 °C with 5% CO2. Medium was changed three times per week. For biolisitic transfection, 1.6 μm gold particles (BioRad) were coated with 25–30 μg of each one of the plasmids of interest. DNA-coated gold particle were then shot using a gene gun (Bio-Rad) at high pressure (180ψ) at the age specified in the result section, incubated for 8 or 14 days in the same culture medium as described above. In experiments where Syngap1 was deleted in PV+ single-basket cells in an otherwise wild-type background, organotypic slices from Syngap1flox/flox mice were transfected either with pGAD67-GFP (Syngap1+/+, control basket cells), or pGAD67-Cre/pGAD67-GFP (Syngap1−/− basket cells). In particular, for each mouse half of the organotypic cultures were transfected with pGAD67-GFP and half with pGAD67-Cre/pGAD67-GFP, thus allowing us to control for inter-animal variability. Organotypic slices from Tg(Nkx2.1-Cre);Syngap1flox/+and Syngap1flox/+ were transfected with pGAD67-GFP to visualize PV+ basket cells morphology a minimum of 5 days before imaging.

Analysis of basket cells in vitro

Slices were fixed and immunostained as in ref. 40. To visualize basket cell targeted neurons, we used anti-NeuN (monoclonal antibody, 1:400; Millipore Bioscience Research Reagents, #MAB377), followed by incubation with Alexa Fluor 633-conjugated goat anti-mouse IgG (1:400; Invitrogen A-21053). Only one basket cell was acquired from each organotypic culture. Non-overlapping fields of axonal innervation from well-isolated basket cells were acquired with a × 63 glycerol-immersion objective (NA 1.3; Leica) using a confocal microscope (LEICA TCS SPE) and them analyzed with Neurolucida software (MicroBrightField). Axon branch complexity around a single pyramidal cell soma was quantified as the average number of intersections between a basket cell axon and each one of 9 Sholl spheres traced with 1 μm increment from the centre of the pyramidal cell soma. Bouton density around each pyramidal cell soma was defined as the total number of GFP+ boutons identified in a radius of 9 μm from the centre of the pyramidal cell soma. For each basket cell, we analyzed 15–20 pyramidal neurons. The percentage of pyramidal somata innervated by basket cells was defined in a confocal stack by the number of somata contacted by the GFP+ axon divided by the total number of somata. At least two fields were imaged for each basket cell and the results were averaged. For these experiments, the number of basket cells was used as independent replicate (N). Data are presented as mean ±s.e.m. Imaging and quantification were performed independently by two different operators. All quantification was done blind to the genotype or the experimental conditions.

Analysis of perisomatic innervation in vivo

P45 mice were anesthetized and perfused transcardially with 4% paraformaldehyde (PFA 4%) in phosphate buffer, pH 7.4. Brains were removed, immerged in PFA 4% overnight then cryoprotected in 30% sucrose (in sodium–phosphate buffer pH 7.2) and finally embedded in optimal cutting temperature Tissue Tek. Coronal sections (40 μm) from Syngap1+/−, Tg(Nkx2.1-Cre);Syngap1flox/+ and their control littermates of both sexes were cut using a cryostat (Leica VT100). Brain sections were blocked in 10% normal goat serum (NGS) and 0.3% Triton X-100 for 2 h at RT. Slices were then incubated overnight at 4 °C with anti-Parvalbumin (rabbit 1:8,000, Swant, #PV25) and anti-NeuN antibodies (mouse 1:400, Chemicon, #MAB377) followed by incubation with Alexa 488-conjugated anti-rabbit IgG and Alexa 633-conjugated anti-mouse IgG (1:400, Invitrogen, A-11008 and A-21053, respectively) for 2 h at RT. After washing, slices were mounted in Vectashield mounting medium (Vector). Confocal images were taken using a × 63 oil objective (Leica NA 1.3). Scans from each channel were collected in multiple-track mode and subsequently merged. For each animal, three to four coronal sections containing the somatosensory cortex and an equal number containing the CA1 region of the hippocampus were imaged. Stacks were acquired with 1 μm steps, exported as TIFF files and analyzed with ImageJ software. We analyzed the intensity of PV-positive puncta around layer 5 pyramidal cell somata because the size of their apical dendrite rendered their identification fairly easy, therefore reducing the variability in the analysis. For each identified neuronal soma, intensity was quantified in the optical section where the soma profile was larger, in particular an area 2 μm distal from the edge of a neuron profile was traced and outlined, and staining intensity within this area was measured. Results of at least 30 NeuN-positive somata from the somatosensory cortex of each mouse were averaged. For these experiments, the number of animals was used as independent replicate (N). Data are presented as mean ±s.e.m. Imaging and quantification were performed independently by two different operators. All quantification was done blind to the genotype.

Viral vector and stereotaxic injections

The pAAV.CAGGS.flex.ChR2.tdTomato.SV40 was a gift from Scott Sternson (Addgene plasmid # 18917) and was produced as AAV2/9 serotype by the UPenn Vector Core Facilities (University of Pennsylvania, Philadelphia). Mice aged postnatal day 24–28 (P24-P28) were used for all surgeries. Bilateral viral injections were performed at the following stereotaxic coordinates: 1.5 mm from bregma, 1.5 mm lateral from midline and 0.70 mm vertical from cortical surface. Surgical procedures were standardized to minimize the variability of AAV injections. To ensure minimal leak into surrounding brain areas, injection pipettes remained in the brain for ∼5 min after injection before being slowly withdrawn. The final injected volume for the AAV was 0.5 μl. We waited 2 weeks for maximal viral expression. The titre for the viruses was ∼2.69 × 1012 genome copies per ml.

Electrophysiology

All the following experiments were done by investigators blind to the genotype until after data analysis was completed.

mIPSC recordings:

Acute slices (300 μm thickness) were prepared from hippocampus or somatosensory cortex of 7–9 week old Syngap1+/−, Tg(Nkx2.1-Cre);Syngap1flox/+ mice and their respective control littermates of both sexes25. Slices were cut on a Leica vibratome in ice-cold oxygenated (95% O2, 5% CO2) cutting solution containing 87 mM NaCl, 2.5 mM KCl, 25 mM NaHCO3, 0.5 mM CaCl2, 1.25 mM NaH2PO4, 7 mM MgCl2, 25 mM glucose, 75 mM sucrose, 3 mM pyruvic acid and 1 mM ascorbic acid. Slices were then transfered to oxygenated (95% O2, 5% CO2) artificial cerebrospinal fluid containing: 124 mM NaCl, 2.5 mM KCl, 1.25 mM NaH2PO4, 2 mM MgSO4, 2 mM CaCl2, 26 mM NaHCO3 and 10 mM glucose (pH 7.2–7.3; 300 mOsm) and allowed to recover at room temperature for at least 1 h before recording in artificial cerebrospinal fluid. Whole-cell patch clamp recordings were obtained from visually identified pyramidal neurons in hippocampal CA1 region or somatosensory cortex layer 2–3 using borosilicate pipettes (3–5 MΩ) and an upright microscope (Nikon Eclipse, E600FN), equipped with a water immersion long-working distance objective ( × 40, Nomarski optics) and an infrared video camera. To record mIPSCs, the internal solution contained 130 mM CsCl, 10 mM HEPES, 2 mM MgCl2, 0.5 mM EGTA, 5 mM di-Na-phosphocreatine, 2 mM ATP-Tris, 0.4 mM GTP-Tris, 5 mM QX-134 (pH 7.2–7.3; 280 mOsm; Alomone Labs). mIPSCs were measured by holding the cells at −60 mV in the presence of 10 μM CNQX, 50 μM D-APV and 0.5 μM TTX (to block AMPA receptors, NMDA receptors and sodium channels, respectively; Abcam Biochemicals). Data was acquired using Multiclamp 700A/B amplifiers (Molecular Devices) and digitized using Digidata 1322A/1440A and pClamp 10 (Molecular Devices). Recordings were low-pass filtered at 3 kHz and digitized at 20 kHz. Series resistance was regularly monitored during experiments and data were included only if the holding current and series resistance were stable. mPSCs were analysed using Mini-Analysis 6.0.3 (Synaptosoft) after detection of a well-defined baseline. Averages of at least 150 events from each cell were considered for analysis. Data are presented as mean ±s.e.m., unless otherwise specified.

Optogenetics:

Slices were prepared as described above. Whole-cell patch clamp recordings were obtained from visually identified pyramidal neurons in somatosensory cortex layer 5 using borosilicate pipettes (3–5 MΩ) and an upright microscope (Olympus BX50WI), equipped with a water immersion long-working distance objective ( × 40, Nomarski optics) and an infrared video camera. Care was taken to record from brain slices showing similar dense AAV tranfection, that is, tdTomato expression. The internal solution contained 120 mM CsMeSO3, 5 mM NaCl, 1 mM MgCl2, 10 mM HEPES, 10 mM diNa-phosphocreatine, 2 mM ATP-tris, 0.4 mM GTP-tris, 0.5 mM spermine and 2 mM QX-314-Cl. Light-evoked IPSCs were recorded by holding the cell at 0 mV in the presence of 10 μM CNQX and 50 μM DL-APV. IPSCs were evoked by brief pulses of blue light (470 nm, custom-made LED system) delivered to the whole slice every 30 s via a light guide positioned above the slice. Data was acquired using a Multiclamp 700A amplifier (Molecular Devices) and digitized using Digidata1440A and pClamp 10 (Molecular Devices). Recordings were low-pass filtered at 3 kHz and digitized at 20 kHz. Series resistance was regularly monitored during experiments, and data were included only if the holding current and series resistance were stable. Light-evoked IPSCs were analyzed using Clampfit 10 (Molecular devices). For statistical analysis, the number of animals was used as independent replicates (N).

EEG recordings and gamma oscillation analysis:

To analyze power in the gamma frequency band (30–80 Hz), we monitored P80–P100 mice by continuous video-EEG recordings after implantation of electrodes in the hippocampus and the overlying cortex. The insertion of electrodes was performed under isoflurane anaesthesia, while the head of the mouse was immobilized in a stereotaxic frame. A stainless steel bipolar electrode (Plastics-1 Inc., Roanoke, VA, USA) was positioned at the following coordinates with reference to Bregma: AP=−1 mm, ML=−1 mm and DV=1.5 mm for one electrode in the hippocampus and 0.5 mm for the one in the cortex. Following a 5-day recovery period, EEG was recorded with a Stellate systems 32-channel video-EEG recording unit for 2 weeks. Mice were monitored during 6-hour sessions (afternoon and night). An operator blind to the genotype extracted EEG traces during mouse exploratory behaviour spanning 30–120 s. A total of 10 min of active exploration was selected for each mouse.

EEG recordings from the cortex and hippocampus were first analyzed to detect time periods of strong theta oscillations, which were indicative of stable recordings during which the animal was exploring. To detect theta oscillations, we used the spectrogram method using discrete short-time Fourier transforms. More specifically, data sampled at 200 Hz were first low-pass filtered by a 100th order finite impulse response filter. Spectrograms were then built from the data set and separated into 1 s intervals, to which a Hamming window was applied. The discrete Fourier transforms were then evaluated over 214 points with zero padding. Finally, for each time slot, the algorithm identified oscillations with the highest intensity in the theta frequency band (4–12 Hz) and that lasted at least 1 s. The power spectral density was normalized in amplitude from 0 to 1 and equalized with an exponential function with exponent 0.15 to improve its contrast to random noise. This analysis resulted in a list of theta oscillations for each extracted EEG recording. For each time period of theta oscillations, we then calculated the average power in the gamma frequency band. Analysis was performed in Matlab (7.11.0) (The Mathworks, Natick, MA, USA). Results are expressed as mean±s.e.m. The investigator was blind to the genotype until after data analysis was completed.

Behavioural studies

All animals were kept under a light-dark cycle (12 h light–12 h dark) in a temperature and humidity controlled room. Food and water were available ad libitum. Room lights were kept low during all procedures. For all experiments, a camera was mounted above the arena; images were captured and transmitted to a computer running the Smart software (Panlab, Harvard Apparatus). The sequence of animals tested was randomized by the genotype. Care was taken to test litters containing both the genotypes specific to the breeding. Results are presented as mean ±s.e.m.

Spontaneous open-field activity

The open-field test was performed as previously described14. Each subject (P25) was gently placed in the centre of the open-field, allowed to freely explore undisturbed for 10 min, after which the animal was removed, the arena cleaned with 70% ethanol and dried before testing the next animal. Locomotor activity was indexed as the total distance travelled (m).

Elevated plus maze

Experiments were performed as described in ref. 67. The test session lasted 5 min during which the animals (P27) were allowed to explore the maze freely before being removed and returned to their home-cage. The percentage of time spent in the open arms (open/(open+closed) × 100) was scored as a measure of anxiety-related behaviour.

Three-chamber

A three-chamber arena was used to assess the social recognition performance of the mice68. The tested animal (P36) was placed in the middle of the central chamber and allowed to explore all the chambers for 10 min. During this habituation session, small wire cages were present, one in each opposite chamber. After habituation, an unfamiliar conspecific of the same sex and age (Stranger 1) was placed inside a small wire cage whereas the other remained empty. The tested animal was allowed to freely explore the three chambers of the apparatus for 10 min. At the end of this 10 min, a new unfamiliar mouse of the same sex and the same age (Stranger 2) was placed in the previously unoccupied wire cage and the tested mouse was examined for an additional 10 min to assess preference for social novelty. Stanger 1 and stranger 2 animals originated from different home cages and had never been in physical contact with the tested mice or between each other. Social novelty preference was evaluated by quantifying the time spent by the tested mice in each chamber during the third 10 min session.

T-maze

A discret-two-trials spontaneous alternation paradigm in a T-maze apparatus was used to assess the working memory69. Each test consisted of a two free-choice trials separated by a 1 min inter-trial interval (ITI) for 3 consecutive days. At the beginning of each trial, the animals (P38-40) were placed in the starting arm, allowed to freely move until one arm was chosen. The animals were left in the choice arm for 10 s before being removed and placed in the home-cage for 50 s. Then, the individuals were allowed to perform another free-choice trial. If the mice entered in the opposite arm than the first trial, the responses were considered as an alternation.

Statistical analysis

Data were expressed as mean±s.e.m. unless otherwise specified in the legends. Normality tests were performed for all data analysed. Differences between two groups were assessed with the Student's t-test for normally distributed data or with the Mann–Whitney rank sum test for not-normally distributed data. Differences between multiple groups were assessed with one-way ANOVA with either Dunn's or Tukey's post hoc test for non-normally distributed and normally distributed data, respectively. Two-way ANOVA with Sidak's multiple comparison post hoc test was used for the detection of differences in the novelty social recognition test. Two-way Repeated Measure ANOVA with Bonferroni's multiple comparison post hoc test was used for analysing light-evoked IPSCs, considering N of mice as independent replicates. mIPSC frequency and amplitude were represented with Tukey boxplots (median±1.5 × interquartile range; box represents 1st–3rd quartile). In the same graph, a cross represented mean mIPSC frequency and amplitude values. In addition, all individual cell values were reported, using different symbols for different animals. mIPSC frequency and amplitude were analysed using a LMM, modelling animal as a random effect and genotype as fixed effect. We used this statistical analysis because we considered the number of mice as independent replicates and the number of cell in each mouse as repeated measures. For gamma oscillation power analysis, averages from the two genotypes were compared with Wilcoxon rank sum tests since values were not normally distributed. Finally, two-tailed power analysis was performed for all experimental data, using alpha=0.05 and desired power=0.8. Statistical analysis was performed using Prism 5.0 (GraphPad Software), SigmaStat 3.5 (Systat) and the function lmer implemented in the R package lme4 specifically for LMM.

Three animals were excluded from the analysis of electrophysiological recordings because the genotype was ambiguous (n=1 mouse) or tdTomato fluorescence was not detectable after AAV injection (n=2 mice).

Data availability

Detailed statistics and data that support the findings of this study are available from the corresponding authors on request.

Additional information

How to cite this article: Berryer, M. H. et al. Decrease of SYNGAP1 in GABAergic cells impairs inhibitory synapse connectivity, synaptic inhibition and cognitive function. Nat. Commun. 7, 13340 doi: 10.1038/ncomms13340 (2016).

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Material

Supplementary Information

Supplementary Figures 1-6

ncomms13340-s1.pdf (366.2KB, pdf)

Acknowledgments

This work was supported by the Fondation Jean-Louis Lévesque (to J.L.M.), Canadian Institutes of Health Research (operating grant MOP-10848 to J.-C.L. and MOP-130430 to G.D.C.), the Fonds de la Recherche du Québec-Santé (grant to J.-C.L. FRQS; Groupe de Recherche sur le Système Nerveux Central). J.-C.L. is the recipient of the Canada Research Chair in Cellular and Molecular Neurophysiology. G.D.C. is the recipient of the Canada Research Chair in Neural Circuit Development. M.H.B. was supported by a studentship from the Réseau de Médecine Génétique Appliquée (Montreal, Canada). B.C. was supported by a fellowship of the CHU Ste.Justine Foundation. P.X. was supported by a studentship from the Natural Sciences and Engineering Research Council of Canada. I.R. was supported by a postdoctoral fellowship of the Savoy Foundation. We acknowledge Dr Luis Barreiro (CHU Ste.Justine, Canada) for his invaluable help with statistical analysis of electrophysiological data, Dr S. Grant (Centre for Clinical Brain Sciences, The University of Edinburgh, United Kingdom) for providing the Syngap1+/− mice, Drs I. Knuesel and M. Muhia (Institute of Pharmacology and Toxicology, University of Zurich, Switzerland) for the Syngap1flox/flox mouse line, Alexis Lupien-Meilleur, the Comité Institutionnel de Bonnes Pratiques Animales en Recherche (CIBPAR) and all members of the animal facility of the Research Center of Sainte-Justine Hospital (Montreal University, Canada) for their invaluable technical help, D. Rochefort (Mental health university institute, Douglas Hospital, McGill University, Canada) for sharing his expertise in behavioural studies and Dr Elsa Rossignol for many insightful comments on this work.

Footnotes

Author contributions M.H.B., B.C., J.-C.L., J.L.M. and G.D.C. designed the experiments. M.H.B., B.C., P.X., I.R., C.B., N.S., J.A.B., M.L., M.A., F.F.H., L.C., J.-C.L. and N.L.V. performed experiments or/and analysed data, M.H.B., B.C., J.-C.L., J.L.M. and G.D.C. wrote the manuscript.

References

  1. Kim J. H., Liao D., Lau L. F. & Huganir R. L. SynGAP: a synaptic RasGAP that associates with the PSD-95/SAP90 protein family. Neuron 20, 683–691 (1998). [DOI] [PubMed] [Google Scholar]
  2. Kim M. J., Dunah A. W., Wang Y. T. & Sheng M. Differential roles of NR2A- and NR2B-containing NMDA receptors in Ras-ERK signaling and AMPA receptor trafficking. Neuron 46, 745–760 (2005). [DOI] [PubMed] [Google Scholar]
  3. Hamdan F. F. et al. Excess of de novo deleterious mutations in genes associated with glutamatergic systems in nonsyndromic intellectual disability. Am. J. Hum. Genet. 88, 306–316 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Hamdan F. F. et al. De novo mutations in moderate or severe intellectual disability. PLoS Genet. 10, e1004772 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Hamdan F. F. et al. Mutations in SYNGAP1 in autosomal nonsyndromic mental retardation. N. Engl. J. Med. 360, 599–605 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Hamdan F. F. et al. De novo SYNGAP1 mutations in nonsyndromic intellectual disability and autism. Biol. Psychiatry 69, 898–901 (2011). [DOI] [PubMed] [Google Scholar]
  7. Berryer M. H. et al. Mutations in SYNGAP1 cause intellectual disability, autism, and a specific form of epilepsy by inducing haploinsufficiency. Hum. Mutat. 34, 385–394 (2013). [DOI] [PubMed] [Google Scholar]
  8. Carvill G. L. et al. Targeted resequencing in epileptic encephalopathies identifies de novo mutations in CHD2 and SYNGAP1. Nat. Genet. 45, 825–830 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Redin C. et al. Efficient strategy for the molecular diagnosis of intellectual disability using targeted high-throughput sequencing. J. Med. Genet. 51, 724–736 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Vazquez L. E., Chen H.-J. J., Sokolova I., Knuesel I. & Kennedy M. B. SynGAP regulates spine formation. J. Neurosci. 24, 8862–8872 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Rumbaugh G., Adams J. P., Kim J. H. & Huganir R. L. SynGAP regulates synaptic strength and mitogen-activated protein kinases in cultured neurons. Proc. Natl Acad. Sci. USA 103, 4344–4351 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Komiyama N. H. et al. SynGAP regulates ERK/MAPK signaling, synaptic plasticity, and learning in the complex with postsynaptic density 95 and NMDA receptor. J. Neurosci. 22, 9721–9732 (2002). [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Kim J. H., Lee H.-K. K., Takamiya K. & Huganir R. L. The role of synaptic GTPase-activating protein in neuronal development and synaptic plasticity. J. Neurosci. 23, 1119–1124 (2003). [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Guo X. et al. Reduced expression of the NMDA receptor-interacting protein SynGAP causes behavioral abnormalities that model symptoms of Schizophrenia. Neuropsychopharmacology 34, 1659–1672 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Muhia M., Yee B. K., Feldon J., Markopoulos F. & Knuesel I. Disruption of hippocampus-regulated behavioural and cognitive processes by heterozygous constitutive deletion of SynGAP. Eur. J. Neurosci. 31, 529–543 (2010). [DOI] [PubMed] [Google Scholar]
  16. Clement J. P. et al. Pathogenic SYNGAP1 mutations impair cognitive development by disrupting maturation of dendritic spine synapses. Cell 151, 709–723 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Ozkan E. D. et al. Reduced cognition in Syngap1 mutants is caused by isolated damage within developing forebrain excitatory neurons. Neuron 82, 1317–1333 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Pouille F. & Scanziani M. Enforcement of temporal fidelity in pyramidal cells by somatic feed-forward inhibition. Science 293, 1159–1163 (2001). [DOI] [PubMed] [Google Scholar]
  19. Kepecs A. & Fishell G. Interneuron cell types are fit to function. Nature 505, 318–326 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Buzsáki G. & Watson B. O. Brain rhythms and neural syntax: implications for efficient coding of cognitive content and neuropsychiatric disease. Dialogues Clin. Neurosci. 14, 345–367 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Hensch T. K. Critical period plasticity in local cortical circuits. Nat. Rev. Neurosci. 6, 877–888 (2005). [DOI] [PubMed] [Google Scholar]
  22. Deidda G. et al. Reversing excitatory GABAAR signaling restores synaptic plasticity and memory in a mouse model of Down syndrome. Nat. Med. 4, 318–326 (2015). [DOI] [PubMed] [Google Scholar]
  23. Gkogkas C. G. et al. Autism-related deficits via dysregulated eIF4E-dependent translational control. Nature 493, 371–377 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Bateup H. S. et al. Excitatory/inhibitory synaptic imbalance leads to hippocampal hyperexcitability in mouse models of tuberous sclerosis. Neuron 78, 510–522 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Durand S. et al. NMDA receptor regulation prevents regression of visual cortical function in the absence of Mecp2. Neuron 76, 1078–1090 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Dani V. S. et al. Reduced cortical activity due to a shift in the balance between excitation and inhibition in a mouse model of Rett syndrome. Proc. Natl Acad. Sci. USA 102, 12560–12565 (2005). [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Hanson J. E. et al. GluN2B antagonism affects interneurons and leads to immediate and persistent changes in synaptic plasticity, oscillations, and behavior. Neuropsychopharmacology 38, 1221–1233 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Porter K., Komiyama N. H., Vitalis T., Kind P. C. & Grant S. G. Differential expression of two NMDA receptor interacting proteins, PSD-95 and SynGAP during mouse development. Eur. J. Neurosci. 21, 351–362 (2005). [DOI] [PubMed] [Google Scholar]
  29. Chen H. J., Rojas-Soto M., Oguni A. & Kennedy M. B. A synaptic Ras-GTPase activating protein (p135 SynGAP) inhibited by CaM kinase II. Neuron 20, 895–904 (1998). [DOI] [PubMed] [Google Scholar]
  30. Knuesel I., Elliott A., Chen H.-J. J., Mansuy I. M. & Kennedy M. B. A role for synGAP in regulating neuronal apoptosis. Eur. J. Neurosci. 21, 611–621 (2005). [DOI] [PubMed] [Google Scholar]
  31. Muhia M., Feldon J., Knuesel I. & Yee B. K. Appetitively motivated instrumental learning in SynGAP heterozygous knockout mice. Behav. Neurosci. 123, 1114–1128 (2009). [DOI] [PubMed] [Google Scholar]
  32. Clement J. P., Ozkan E. D., Aceti M., Miller C. A. & Rumbaugh G. SYNGAP1 links the maturation rate of excitatory synapses to the duration of critical-period synaptic plasticity. J. Neurosci. 33, 10447–10452 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Zhang W., Vazquez L., Apperson M. & Kennedy M. B. Citron binds to PSD-95 at glutamatergic synapses on inhibitory neurons in the hippocampus. J. Neurosci. 19, 96–108 (1999). [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Moon I. S., Sakagami H., Nakayama J. & Suzuki T. Differential distribution of synGAP alpha1 and synGAP beta isoforms in rat neurons. Brain Res. 1241, 62–75 (2008). [DOI] [PubMed] [Google Scholar]
  35. Chattopadhyaya B. et al. GAD67-mediated GABA synthesis and signaling regulate inhibitory synaptic innervation in the visual cortex. Neuron 54, 889–903 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Tamás G., Buhl E. H. & Somogyi P. Fast IPSPs elicited via multiple synaptic release sites by different types of GABAergic neurone in the cat visual cortex. J. Physiol. 500, 715–738 (1997). [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Chattopadhyaya B. et al. Experience and activity-dependent maturation of perisomatic GABAergic innervation in primary visual cortex during a postnatal critical period. J. Neurosci. 24, 9598–9611 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Di Cristo G. et al. Activity-dependent PSA expression regulates inhibitory maturation and onset of critical period plasticity. Nat. Neurosci. 10, 1569–1577 (2007). [DOI] [PubMed] [Google Scholar]
  39. Baho E. & Di Cristo G. Neural activity and neurotransmission regulate the maturation of the innervation field of cortical GABAergic interneurons in an age-dependent manner. J. Neurosci. 32, 911–918 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Chattopadhyaya B., Baho E., Huang Z. J., Schachner M. & Di Cristo G. Neural cell adhesion molecule-mediated Fyn activation promotes GABAergic synapse maturation in postnatal mouse cortex. J. Neurosci. 33, 5957–5968 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Di Cristo G. et al. Subcellular domain-restricted GABAergic innervation in primary visual cortex in the absence of sensory and thalamic inputs. Nat. Neurosci. 11, 1184–1186 (2004). [DOI] [PubMed] [Google Scholar]
  42. Wu C. et al. GABA signaling promotes synapse elimination and axon pruning in developing cortical inhibitory interneurons. J. Neurosci. 32, 331–343 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Fogarty M. et al. Spatial genetic patterning of the embryonic neuroepithelium generates GABAergic interneuron diversity in the adult cortex. J. Neurosci. 41, 10935–10946 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Marin O., Anderson S. A. & Rubenstein J. L. Origin and molecular specification of striatal interneurons. J. Neurosci. 20, 6063–6076 (2000). [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Xu Q., Tam M. & Anderson S. A. Fate mapping Nkx2.1-lineage cells in the mouse telencephalon. J. Comp. Neurol. 506, 16–29 (2008). [DOI] [PubMed] [Google Scholar]
  46. Sousa V. H., Miyoshi G., Hjerling-Leffler J., Karayannis T. & Fishell G. Characterization of Nkx6-2-derived neocortical interneuron lineages. Cerebral cortex 19, i1–10 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Kuhlman S. J. & Huang Z. J. High-resolution labeling and functional manipulation of specific neuron types in mouse brain by Cre-activated viral gene expression. PLoS ONE 16, 3 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Cardin J. A. et al. Driving fast-spiking cells induces gamma rhythm and controls sensory responses. Nature 459, 663–667 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Buzsáki G. & Wang X. J. Mechanisms of gamma oscillations. Annu. Rev. Neurosci. 35, 203–225 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Trifonov S., Yamashita Y., Kase M., Maruyama M. & Sugimoto T. Glutamic acid decarboxylase 1 alternative splicing isoforms: characterization, expression and quantification in the mouse brain. BMC. Neurosci. 15, 114 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Kiser P. J., Cooper N. G. & Mower G. D. Expression of two forms of glutamic acid decarboxylase (GAD67 and GAD65) during postnatal development of rat somatosensory barrel cortex. J. Comp. Neurol. 402, 62–74 (1998). [PubMed] [Google Scholar]
  52. Pi H.-J. J. et al. Cortical interneurons that specialize in disinhibitory control. Nature 503, 521–524 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Rubenstein J. L. & Merzenich M. M. Model of autism: increased ratio of excitation/inhibition in key neural systems. Genes Brain Behav. 2, 255–267 (2003). [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Yizhar O. et al. Neocortical excitation/inhibition balance in information processing and social dysfunction. Nature 477, 171–178 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Isaacson J. S. & Scanziani M. How inhibition shapes cortical activity. Neuron 72, 231–243 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Fries P. Neuronal gamma-band synchronization as a fundamental process in cortical computation. Annu. Rev. Neurosci. 32, 209–224 (2009). [DOI] [PubMed] [Google Scholar]
  57. Gonzalez-Burgos G., Cho R. Y. & Lewis D. A. Alterations in cortical network oscillations and parvalbumin neurons in schizophrenia. Biol. Psychiatry. 12, 1031–1040 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Peiker I. et al. Perceptual integration deficits in autism spectrum disorders are associated with reduced interhemispheric gamma-band coherence. J Neurosci. 50, 16352–16361 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Fagiolini M. et al. Specific GABAA circuits for visual cortical plasticity. Science 303, 1681–1683 (2004). [DOI] [PubMed] [Google Scholar]
  60. Xu Q. et al. Origins of cortical interneuron subtypes. J. Neurosci. 24, 2612–2622 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Shilyansky C. et al. Neurofibromin regulates corticostriatal inhibitory networks during working memory performance. Proc. Natl Acad. Sci. USA 107, 13141–13146 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Costa R. M. et al. Mechanism for the learning deficits in a mouse model of neurofibromatosis type 1. Nature 415, 526–530 (2002). [DOI] [PubMed] [Google Scholar]
  63. Cui Y. et al. Neurofibromin regulation of ERK signaling modulates GABA release and learning. Cell 135, 549–560 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Molosh A. I. et al. Social learning and amygdala disruptions in Nf1 mice are rescued by blocking p21-activated kinase. Nat. Neurosci. 17, 1583–1590 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Matta J. A. et al. Developmental origin dictates interneuron AMPA and NMDA receptor subunit composition and plasticity. Nat. Neurosci. 16, 1032–1041 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Nordlund M., Gu X., Shipley M. T. & Ratner N. Neurofibromin is enriched in the endoplasmic reticulum of CNS neurons. J. Neurosci. 13, 1588–1600 (1993). [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Hagenbuch N., Feldon J. & Yee B. K. Use of the elevated plus-maze test with opaque or transparent walls in the detection of mouse strain differences and the anxiolytic effects of diazepam. Behav. Pharmacol. 17, 31–41 (2006). [DOI] [PubMed] [Google Scholar]
  68. Silverman J. L., Yang M., Lord C. & Crawley J. N. Behavioural phenotyping assays for mouse models of autism. Nat. Rev. Neurosci. 11, 490–502 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Deacon R. M. & Rawlins J. N. T-maze alternation in the rodent. Nat. Protoc. 1, 7–12 (2006). [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Supplementary Information

Supplementary Figures 1-6

ncomms13340-s1.pdf (366.2KB, pdf)

Data Availability Statement

Detailed statistics and data that support the findings of this study are available from the corresponding authors on request.


Articles from Nature Communications are provided here courtesy of Nature Publishing Group

RESOURCES