Abstract
The efficacy of fast synaptic inhibition is critically dependent on the accumulation of GABAA receptors at inhibitory synapses, a process that remains poorly understood. Here, we examined the dynamics of cell surface GABAA receptors using receptor subunits modified with N-terminal extracellular ecliptic pHluorin reporters. In hippocampal neurons, GABAA receptors incorporating pHluorin-tagged subunits were found to be clustered at synaptic sites and also expressed as diffuse extrasynaptic staining. By combining FRAP (fluorescence recovery after photobleaching) measurements with live imaging of FM4-64-labeled active presynaptic terminals, it was evident that clustered synaptic receptors exhibit significantly lower rates of mobility at the cell surface compared with their extrasynaptic counterparts. To examine the basis of this confinement, we used RNAi to inhibit the expression of gephyrin, a protein shown to regulate the accumulation of GABAA receptors at synaptic sites. However, whether gephyrin acts to control the actual formation of receptor clusters, their stability, or is simply a global regulator of receptor cell surface number remains unknown. Inhibiting gephyrin expression did not modify the total number of GABAA receptors expressed on the neuronal cell surface but significantly decreased the number of receptor clusters. Live imaging revealed that clusters that formed in the absence of gephyrin were significantly more mobile compared with those in control neurons. Together, our results demonstrate that synaptic GABAA receptors have lower levels of lateral mobility compared with their extrasynaptic counterparts, and suggest a specific role for gephyrin in reducing the diffusion of GABAA receptors, facilitating their accumulation at inhibitory synapses.
Introduction
GABAA receptors (GABAARs) are pentameric hetero-oligomers that mediate the majority of fast synaptic inhibition in the brain. These receptors can be assembled from seven subunit families with multiple members: α1-6, β1-3, γ1-3, δ, ϵ, θ, and π (Sieghart and Sperk, 2002). The majority of GABAARs assembled in neurons are believed to be composed of α, β, and γ2 subunits. In neurons, many of these receptor subtypes are selectively targeted to postsynaptic specializations, a process that is critical for the efficacy of synaptic inhibition and appropriate behavior in animals (Crestani et al., 1999). To date, studies on GABAAR synaptic targeting have primarily focused on receptor trafficking through exo/endocytic processes (Moss and Smart, 2001; Kittler and Moss, 2003). Collectively, these approaches have revealed that GABAARs on neuronal plasma membranes exhibit significant constitutive endocytosis and rapid recycling, processes that can directly modify the efficacy of synaptic inhibition (Kittler et al., 2000b, 2004).
Although these approaches have provided key insights into membrane trafficking of GABAARs, the dynamics of the cell surface receptors remains unknown. Single-particle tracking microscopy studies on glycine and AMPA-type glutamate receptors (AMPARs) have demonstrated that extrasynaptic and synaptic receptor pools have distinct membrane dynamics, and that there are significant rates of exchange between these distinct receptor populations (Meier et al., 2001; Dahan et al., 2003; Triller and Choquet, 2003).
To visualize the cell surface dynamics of GABAARs, we made ecliptic pHluorin (a pH-sensitive GFP variant)-tagged GABAAR subunits to measure receptor mobility in real time (Miesenbock et al., 1998; Ashby et al., 2004a). Using fluorescence recovery after photobleaching (FRAP), our studies show that synaptic receptors have lower FRAP rates compared with extrasynaptic GABAARs, strongly suggesting lower rates of lateral mobility for synaptic receptors compared with their extrasynaptic counterparts under control conditions. To examine the molecular basis of this selective confinement of synaptic receptors, we analyzed the role of the inhibitory synaptic scaffold protein gephyrin, which has been strongly implicated in the formation of postsynaptic inhibitory specializations (Essrich et al., 1998; Kneussel et al., 1999; Levi et al., 2004). Using RNA interference (RNAi), we reveal that decreasing gephyrin expression did not modify the total cell surface expression levels of GABAARs but significantly reduced the number of synaptic receptor clusters. Moreover, remaining receptor clusters exhibited enhanced mobility. Together, our results reveal that synaptic and extrasynaptic GABAARs exhibit distinct cell surface dynamics and that gephyrin plays a critical role in reducing the mobility of GABAAR clusters, thereby promoting the formation of postsynaptic inhibitory specializations.
Materials and Methods
Cell culture and transfection. Hippocampal cultures were prepared as described previously (Banker and Goslin, 1998). Neurons were nucleofected with constructs as described previously (Kittler et al., 2004) or transfected with Effectene according to the manufacturer's specifications (Qiagen, Valencia, CA). Mammalian COS-7 and HEK 293 cells were transfected by electroporation as described previously (Kittler et al., 2000a).
Electrophysiology. Coverslips containing the transfected HEK 293 cells were transferred to a recording chamber mounted on the stage of an inverted microscope. The external solution contained the following: 120 mm NaCl, 3 mm KCl, 5 mm HEPES, 23 mm NaHCO3, 11 mm glucose, 1.2 mm MgCl2, 2.5 mm CaCl2, and 500 nm TTX continuously oxygenated with a mixture of 95% O2/5% CO2. The recording chamber is perfused at a rate of 5-10 ml/min and maintained at 32°C (Kittler et al., 2000b; Bedford et al., 2001). The internal solution comprises the following (in mm): 80 potassium acetate, 30 KCl, 40 HEPES, 1 MgCl2, 4 ATP (Mg2+ salt), and 2 ATP (Na+ salt) (adjusted to pH 7.3-7.4 with KOH and to 280 mOsm with K acetate). Pipettes had a resistance of 3-4.5 MΩ when filled with this internal solution. Patch-clamp experiments were performed in the whole-cell configuration using an Axopatch 200A amplifier. Series resistance and membrane capacitance are partially compensated (70-80%), and current traces are low-pass filtered at 2 kHz using a four-pole Bessel filter. The holding potential in all experiments was -70 mV. Drugs were rapidly applied to single cells using a modified U-tube, placed 50-100 μm away from the cell of interest (Kittler et al., 2000b; Bedford et al., 2001).
FRAP studies and live imaging. Measurements were made on 10-14 d in vitro (DIV) hippocampal neurons or HEK 293 cells transfected with the relevant expression constructs. Expressing cells were maintained at 37°C on a heated stage continuously perfused with oxygenated media and imaged using a confocal microscope. Active presynaptic terminals of hippocampal neurons were stained in 50 mm KCl, 50 mm NaCl, 2 mm CaCl2, 1 mm MgCl2, 20 mm HEPES, pH 7.3, supplemented with 10 μm [N-(3-triethylammoniumpropyl)-4-(6-(4-diethylamino)phenyl)-hexatrienyl)pyridinium dibromide] (FM4-64) for 3 min, and then washed three times in the same buffer lacking dye and KCl (Mohrmann et al., 2003). A receptor cluster was defined as being ∼0.5-2 μm in length, and approximately twofold to threefold more intense than background diffuse fluorescence. Synaptic clusters were colocalized with or directly apposed to FM4-64 staining. For FRAP, we measured the fluorescence intensity of both synaptic and diffuse extrasynaptic receptor pools. The regions of interest (ROIs) for synaptic pools were 1-2 μm2 in size and centered on an individual FM4-64-positive cluster. ROIs were first scanned with an argon 488 laser at 5-10% power for 5 cycles to determine a measurement of initial fluorescence intensity in the ROI. This value was then taken as 100%. Next, ROIs were subjected to 10 cycles with argon 488 laser at 100% to photobleach the ROI. The fluorescence intensity of the ROI was then measured every 60 s at 5-10% laser power for up to 20 min to measure fluorescence recovery relative to the initial settings in the ROI. FM4-64 staining was visualized in parallel using a HeNe laser (543 nm) and a long-pass filter at 680 nm. For data processing, all confocal images were exported to the software program MetaMorph (Universal Imaging, Downingtown, PA) for analysis and quantification of fluorescence levels. All values of fluorescence intensity in the ROIs were obtained by subtracting the background fluorescence from an identical membrane area that did not display detectable GABAAR fluorescence. The fluorescence recovery at every time point was calculated according to the following equation: 100 × [(It - I0)/(Ic - I0)], where It represents fluorescence intensity in the ROI at the given time point, I0 represents the intensity of fluorescence in ROI after photobleaching, and Ic represents the average value of five measurements of the fluorescence intensity in the ROI before photobleaching.
Immunoblot analysis and biotinylation. Immunoblot analysis and biotinylation assays were performed as described (Kittler et al., 2000b; Jovanovic et al., 2004) using the following primary antibodies: polyclonal GABAAR β3-specific antibody (1 μg/ml), polyclonal gephyrin antibody (1:200; Santa Cruz Biotechnology, Santa Cruz, CA), and polyclonal 14-3-3 ζ isoform antibody (1:2000; Santa Cruz Biotechnology). Antibodies were detected with 125I-coupled anti-rabbit IgG, quantified by PhosphorImager analysis, and normalized to the levels of 14-3-3 ζ isoform levels. Cell surface biotinylation of hippocampal neurons using NHS (sulfo-N-hydroxysulfosuccinimidyl)-biotin has also been outlined previously in detail (Jovanovic et al., 2004; Rathenberg et al., 2004). The amount of biotinylated GABAAR β3 subunit and AMPAR glutamate receptor 1 (GluR1) subunit was determined by immunoblotting with β3-specific and GluR1-specific antibodies (1:100; polyclonal anti-GluR1 AMPAR; Chemicon, Temecula, CA), followed by 125I-coupled anti-rabbit IgG, and PhosphorImager analysis.
Immunocytochemistry. HEK 293 cells and transfected hippocampal neurons were processed for immunohistochemistry under both permeabilized or nonpermeabilized conditions as described previously (Kittler et al., 2000b). The following primary antibodies were used: rabbit anti-vesicular inhibitory amino acid transporter (1:1000; kindly provided by Dr. B. Gasnier, Institut de Biologie Physico-Chimique, Paris, France), guinea pig anti-GABAAR α2 (1:4000; kindly provided by Prof. J.-M. Fritschy, University of Zurich, Zurich, Switzerland), rabbit anti-GluR1 AMPAR (1:100; Chemicon), monoclonal anti-gephyrin (mAb7a; 1:150; Connex, Martinsreid, Germany), and both rabbit anti-GFP and monoclonal anti-synapsin 1 (hybridoma; catalog #106 021) at 1:500 (Synaptic Systems, Gottingen, Germany).
Image acquisition and analysis of fixed neurons. Confocal images of immunostained neurons were taken using a 60× objective, acquired with Bio-Rad (Hercules, CA) software and analyzed with MetaMorph. Receptor clusters were identified as described above for live imaging. Synaptic clusters colocalized with or apposed presynaptic marker staining. Clusters further than 1 μm from presynaptic marker staining were considered extrasynaptic. Identical confocal image acquisition settings were used for RNAi and control neurons from the same culture. All channels of an image were first background subtracted, and then thresholded and stacked to determine apposition of postsynaptic receptor subunits with a presynaptic marker. The threshold value was determined for each culture and used for all images from that culture. Quantification of receptor cluster and presynaptic marker density was performed on neuronal processes extending from the cell body that were in focus (average lengths ranged from 40 to 70 μm), with the final synaptic receptor density being provided with the unit length of 50 μm.
Plasmids. Gephyrin hairpin primers and control hairpin primers were synthesized (MWG-Biotech, Milton Keynes, UK) and inserted between unique SalI and XbaI sites downstream of the RNA polymerase III U6 promoter in the short hairpin RNA (shRNA) plasmid pGEM (kindly provided by S. Wilson and P. Kellam, The Windeyer Institute, University College London). pGEM was first digested with SalI and blunt ended, so that the required guanosine is retained at the +1 position of the U6 promoter immediately before the hairpin cassette. The hairpin primers are designed in the following orientation: 5′ sense strand, 8 bp loop containing the HindIII site for screening purposes, antisense strand, and finally five thymidines at the 3′ end encoding a transcription termination sequence. Immediately downstream of the XbaI site, five thymidines encode a stem terminator, to prevent any read-through caused by inefficient termination. The gephyrin shRNA target regions corresponded to three evolutionarily conserved sequences (rat, mouse, and human), each in a different region of the gephyrin mRNA (gi:12408325). The target regions for the gephyrin shRNA plasmids correspond to the following coding base pairs: #1, base pairs 84-110; #2, base pairs 478-502; and #3, base pairs 1640-1666. The control RNAi (pControl) vector corresponds to enhanced green fluorescent protein (eGFP) coding base pairs 139-160 (5′-TTCATCTGCACCACCGGCAAGC-3′). pGEPH1 was generated by standard molecular biology cloning techniques, inserting eGFP into the #3 gephyrin shRNA plasmid.
pHGFPβ3, DsRed-tagged gephyrin (DsRGep), and pHGFPγ2 were expressed using a cytomegalovirus (CMV)-based expression vector as described previously (Kittler et al., 2000a). The pHGFPβ3 construct was made by inserting pHluorin between amino acids 4 and 5 of the mature β3 subunit by PCR amplification with primers containing flanking BglII and NotI sites to yield pCONβ3. pGEPHβ3 is a version of this plasmid that also expresses the #3 gephyrin shRNA. pCONγ2 was made by inserting pHluorin between amino acids 4 and 5 of the γ2L subunit by PCR amplification with primers containing NotI and XhoI sites. pGEPHγ2, the plasmid encoding pHGFPγ2 and the #3 gephyrin shRNA, was constructed by standard molecular biology cloning techniques, inserting the #3 gephyrin shRNA into pCONγ2. For the DsRGep plasmid, a gephyrin cDNA construct was amplified with primers allowing subsequent insertion into pDsRed2-N1 (Clontech, Cambridge, UK). All constructs were sequenced to confirm the fidelity of the final expression constructs.
Results
Analyzing GABAAR expression in hippocampal neurons with pHluorin reporters
To analyze the cell surface dynamics of GABAARs, we introduced a pH-sensitive GFP variant, ecliptic pHluorin, between amino acids 4 and 5 of mature GABAAR subunits (supplemental Fig. 1a, available at www.jneurosci.org as supplemental material). We have previously shown the addition of GFP, myc, or FLAG epitopes to this domain of GABAAR α, β, and γ2 subunits is functionally silent (Kittler et al., 2000a). Ecliptic pHluorin produces effectively no fluorescence at acidic pH values (pH <6.5) characteristic of vesicular compartments (Miesenbock et al., 1998). As the N terminus of GABAAR subunits resides in the vesicular lumen, the pHluorin-tagged receptor subunits should produce minimal fluorescence during trafficking and a robust fluorescent signal at the cell surface.
Expression of pHluorin-tagged β3 (pHGFPβ3) and γ2 (pHGFPγ2) in HEK 293 cells produced proteins of 85 and 79 kDa, respectively, in agreement with the predicted molecular mass of these proteins (supplemental Fig. 1b, available at www.jneurosci.org as supplemental material). pHGFPβ3 subunits were able to robustly access the cell surface in HEK 293 cells as measured by immunohistochemistry but were also detected within intracellular compartments as shown previously (supplemental Fig. 1c, available at www.jneurosci.org as supplemental material) (Bedford et al., 2001). To analyze whether fluorescence in cells expressing pHGFPβ3 derives from cell surface receptors, we used fluorescence quenching with the vital dye trypan blue, which is excluded from living cells (Nuutila and Lilius, 2005). Under control conditions, expressing cells exhibited strong endogenous green fluorescence (supplemental Fig. 1d, panels 1 and 2, available at www.jneurosci.org as supplemental material). After exposure to trypan blue, fluorescence was abolished in live cells that did not accumulate this dye within their cytoplasm (supplemental Fig. 1d, panels 3 and 4, available at www.jneurosci.org as supplemental material). Together, these results suggest that pHluorin-tagged GABAAR subunits principally exhibit fluorescence on the cell surface.
To address whether pHGFPβ3 subunits are capable of assembling with α1 and γ2 subunits to form functional benzodiazepine-sensitive GABAA receptors, we used patch-clamp recording to measure GABA-induced currents (IGABA) from HEK 293 cells expressing receptor α1β3γ2 and α1 pHGFPβ3γ2 subunits. Using dose-response analysis, it was evident that receptors containing β3 or pHGFPβ3 subunits had similar EC50 values for GABA of 8 ± 4.5 and 6 ± 3.5 μm (mean ± SEM; n = 4) and maximal currents (supplemental Fig. 1e, available at www.jneurosci.org as supplemental material). To measure the incorporation of the γ2 subunit, we compared the potency of benzodiazepines to enhance IGABA at EC20 agonist concentrations. Flurazepam produced very similar robust, dose-dependent enhancements of IGABA for receptors composed of α1β3γ2 and α1 pHGFPβ3γ2 subunits (supplemental Fig. 1f, available at www.jneurosci.org as supplemental material). Together, these observations suggest that the addition of pHluorin at the N terminus of the β3 subunit does not compromise receptor assembly or function, consistent with our previous studies on receptors that incorporate GFP-tagged γ2 subunits (Kittler et al., 2000a).
We analyzed the synaptic targeting of pHluorin-tagged β3 (pHGFPβ3) and γ2 (pHGFPγ2) subunits expressed under the CMV promoter in live neurons using FM4-64 to selectively stain active synapses (Lagnado et al., 1996; Mammen et al., 1997; Scotti and Reuter, 2001). This methodology produced robust staining of active presynaptic terminals, and using this marker, it was evident pHGFPβ3 subunits exhibited both synaptic and extrasynaptic localization (Fig. 1a). The percentage of pHGFPβ3 clusters colocalizing with FM4-64 signals was determined to be 20.9 ± 5.4% (mean ± SEM; 200 clusters counted from three independent transfections). Similar levels of colocalization were also found using immunofluorescence in fixed neurons (24.6 ± 6.4%) (mean ± SEM; 150 clusters counted; three independent transfections; Fig. 1b). Live imaging of pHGFPγ2-expressing neurons showed that 84.3 ± 5.1% (mean ± SEM; 150 clusters counted from three independent transfections) of pHGFPγ2 clusters were synaptic as determined by their colocalization with FM4-64 (Fig. 1b). Using immunohistochemistry in fixed neurons, a similar figure of 86.5 ± 9.8% was seen (mean ± SEM; 220 clusters counted from four transfections). Therefore, these studies revealed a significantly higher level of synaptic targeting of pHGFPγ2 compared with pHGFPβ3 subunits (p < 0.01), as measured using two independent methodologies, and are consistent with observations of their endogenous equivalents (Danglot et al., 2003).
To verify that pHluorin-tagged GABAARs principally exhibit fluorescence at the cell surface of neurons, we performed a number of control experiments. First, we examined the ability of trypan blue to quench fluorescence of pHGFPβ3 subunits expressed in hippocampal neurons with obvious pyramidal morphology. Treatment of neurons with this agent, followed by extensive washing, completely blocked fluorescence emissions for this subunit in living neurons at 37°C (Fig. 1c). In addition, decreasing the extracellular pH with acidic media (pH <6.0), also blocked fluorescence signals in neurons over a 90 s time course (Fig. 1d, panels 1-4). This is consistent with the selective detection of cell surface receptors (Ashby et al., 2004b). Importantly, we have previously established using redox dyes that treatment with acidic media (pH <6.0) over the same time course does not significantly alter intracellular pH in neurons (Amato et al., 1999). The effect of increasing the pH of intracellular compartments was also tested by exposing neurons to external NH4Cl. During a 180 s time course, a significant increase in intracellular fluorescence signals for neurons expressing pHGFPβ3 subunits was observed, consistent with NH4Cl treatment unmasking previously nonfluorescent populations of GABAARs in either the secretory and/or endocytic pathway (Fig. 1d, panels 5-8). These results are consistent with previous studies that demonstrated constitutive endocytosis and recycling of GABAARs, strongly suggesting a large intracellular pool of GABAARs in hippocampal neurons (Kittler et al., 2000b, 2004). Together, these approaches suggest that pHluorin-tagged GABAAR subunits are selective markers for cell surface receptors populations in hippocampal neurons.
Synaptic and extrasynaptic GABAARs exhibit differential rates of lateral mobility
We exploited the ability of pHGFPβ3 subunits to robustly access both extrasynaptic and synaptic sites (Fig. 1) to compare the dynamics of these receptor pools by performing FRAP studies. It has been established that extrasynaptic GABAARs are found as diffuse staining, but extrasynaptic receptor clusters containing β3 or γ2 subunits are also evident, and some of these clusters are associated with the inhibitory scaffold protein gephyrin (Kneussel et al., 1999; Danglot et al., 2003). Therefore, to control for this evident heterogeneity, we chose to measure the mobility of diffuse pHGFPβ3 fluorescence populations only. This was achieved by selecting ROIs of 1-2 μm2 that were not opposed to FM4-64-positive presynaptic terminals and were at least 5 μm away from the nearest cluster. FRAP for this receptor population was rapid with recovery to 65.3 ± 12.2% (mean ± SEM; n = 11-14 from four independent transfections) of the initial value being seen in 15 min (Fig. 2a,b). These results suggest that diffuse, nonclustered GABAARs containing pHGFPβ3 subunits in neurons are highly mobile. To measure FRAP for synaptic receptors, single clusters opposed to FM4-64 staining centered in an area of membrane between 1 and 2 μm2 were bleached at 488 nm. Recovery of fluorescence in this area was measured for GFP emission at 37°C during a time course of 15 min (Fig. 2c). In the majority (80%) of neurons, up to 20.7 ± 4.0% (mean ± SEM; n = 11-14; four independent transfections) of the original fluorescence intensity was evident for synaptic GABAAR pools containing pHGFPβ3 subunits within 15 min (Fig. 2b,c). This value is significantly different from the FRAP rate observed for extrasynaptic receptors (p < 0.01). It should be noted that loss of FM4-64 staining was observed over the time course of these experiments (15 min), consistent with published studies showing the labile nature of this live stain (Lagnado et al., 1996; Mammen et al., 1997; Scotti and Reuter, 2001). No additional recovery of signal for synaptic receptors was seen up to 60 min after photobleaching (data not shown). In the remaining 20% of neurons analyzed, little recovery (<5%) was observed. To provide evidence on the origins of newly fluorescent receptors, we analyzed FRAP in membrane regions at differing locations within the photobleached area, on noninnervated neuronal membrane domains. These data showed that regions of membrane in the center of bleached areas exhibited slower rates of FRAP compared with peripheral domains of the same size (Fig. 2d,e; supplemental movie 1, available at www.jneurosci.org as supplemental material), suggesting that FRAP arises from receptor lateral mobility not exocytosis. Together, these results illustrate that synaptic GABAAR clusters containing β3 subunits show lower rates of FRAP compared with the extrasynaptic counterparts, suggesting that these distinct receptor pools have differing rates of lateral mobility within the neuronal plasma membrane.
Developing shRNAs to inhibit gephyrin
Gene knock-out and antisense approaches suggest that the postsynaptic scaffolding protein gephyrin plays a critical role in the clustering of GABAARs (Essrich et al., 1998; Feng et al., 1998; Kneussel et al., 1999, 2001). However, it is unclear whether gephyrin promotes GABAAR cluster formation, or reduces their mobility, thereby enhancing cluster stability. Alternatively, gephyrin may simply act to enhance the global levels of cell surface GABAARs. To address these issues, we manipulated gephyrin levels in neurons by RNAi, using DNA vectors to generate shRNAs. This methodology has some advantages over studies using gephyrin knock-out animals or an antisense approach. First, gephyrin-deficient homozygous mice die shortly after birth, making studies with cultured neurons difficult (Feng et al., 1998). Whereas both antisense and exogenous short interfering RNAs (siRNAs) are able to suppress protein levels only for a few days, shRNA vectors allow persistent knock-down beyond several weeks. We made several gephyrin-encoding shRNAs under the control of the U6 RNA polymerase III promoter. We first tested RNAi construct efficiency by cotransfecting DsRGep in COS-7 cells and assessing protein levels by Western blotting. Gephyrin RNAi drastically reduced DsRGep expression in COS-7 cells but did not affect endogenous actin levels (Fig. 3a). For additional experiments, we used the gephyrin shRNA vector that targets a region in the central domain of gephyrin common to all splice variants (for details, see Materials and Methods). We next added eGFP under the CMV promoter to the gephyrin shRNA construct to unambiguously label RNAi cells. This construct (pGEPH1) showed similar efficiency for gephyrin RNAi in COS-7 cells (Fig. 3b). We used pGEPH1 for subsequent experiments in hippocampal neurons. pGEPH1 or a control RNAi construct targeting uncoded sequence (pControl), was nucleofected into hippocampal neurons. After 20 DIV, the pGEPH1-expressing neurons had a 45 ± 5.5% reduction in gephyrin expression compared with pControl (Fig. 3c). No significant change was seen in the levels of β3 subunits, or the ζ isoform of 14-3-3 (Fig. 3c). The absence of any change in β3 levels is consistent with studies on gephyrin knock-out mice (Kneussel et al., 2001). Because nucleofection results in an average transfection efficiency of 40-50% (Kittler et al., 2004), the ∼50% reduction in gephyrin protein levels is likely to represent RNAi efficiency of 90-100% at the individual neuron level.
Gephyrin RNAi modifies GABAAR clustering
We used immunohistochemical analysis of cultured hippocampal neurons followed by confocal microscopy to determine the efficiency of gephyrin RNAi at the cellular level. In 14 DIV neurons that had been nucleofected at plating with pGEPH1, identified by eGFP expression, gephyrin immunoreactivity was absent (Fig. 3d,e). In contrast, untransfected neurons in the same culture showed abundant gephyrin expression, evident in cell bodies and in neuronal processes (Fig. 3d,e). In stained processes, gephyrin exhibits a highly clustered distribution, with a majority of clusters being apposed to the staining for the vesicular inhibitory amino acid transporter (VIAAT), a specific marker for presynaptic inhibitory specializations (Fig. 3d,f). This result is consistent with a previous report that showed that, at 10 DIV, 58% of gephyrin is colocalized with VIAAT in hippocampal cultures, and this number increases to 90% by 20 DIV (Danglot et al., 2003). VIAAT clustering over gephyrin RNAi neurons appeared unchanged (Fig. 3f). To assess the effects of ablating gephyrin expression on the cell surface distribution of GABAARs, we stained for the GABAAR α2 subunit, because the distribution of this subunit in cultured hippocampal neurons is primarily synaptic and it is highly colocalized with gephyrin (Essrich et al., 1998; Brunig et al., 2002). We costained with VIAAT to quantify the synaptic α2 cluster distribution. Gephyrin RNAi neurons had a ∼50% decrease in synaptic α2 clusters (Fig. 4a,b), with an observed density of 2.3 ± 0.2 clusters/50 μm compared with 5.4 ± 0.3 clusters/50 μm in control cultures (mean ± SEM; 24-26 neurons counted of each type from three independent cultures). This result is in agreement with previous observations in gephyrin knock-out mice (Kneussel et al., 1999, 2001; Levi et al., 2004) and antisense experiments (Essrich et al., 1998). The decreased density in synaptic α2 clusters was also accompanied by a general increase in diffuse surface staining (Fig. 4a,b). Interestingly, no significant change was measured in the VIAAT density (Fig. 4c) (gephyrin RNAi neurons, 5.7 ± 0.4 clusters/50 μm; control neurons, 6.4 ± 0.3 clusters/50 μm) (mean ± SEM; 24-26 neurons counted of each type from three independent cultures), despite the lack of postsynaptic receptor clusters, similar to previous results on VIAAT immunostaining of spinal cord sections in gephyrin knockout mice (Kneussel et al., 2001). Quantification of the synaptic GluR1 AMPAR distribution showed no difference between gephyrin RNAi and control cultures: RNAi-treated neurons had a synaptic GluR1 cluster density of 10.7 ± 0.9 clusters/50 μm, whereas control neurons had a cluster density of 11.9 ± 0.7/50 μm (Fig. 5a,b) (mean ± SEM; 10 neurons counted of each type from three independent cultures), consistent with qualitative data from gephyrin knock-out mice for the GluR1 (Feng et al., 1998) and GluR2/3 AMPAR subunit (Kneussel et al., 1999).
To determine whether this loss of clusters represented a general decrease in the levels of cell surface GABAARs in gephyrin RNAi neurons, we performed cell surface biotinylation of neurons expressing pGEPH1 after 20 DIV. Control cultures expressed a shRNA against eGFP (pControl), because the use of a scrambled siRNA/shRNA is considered to be of little benefit (Editorial, 2003). Biotinylated cell surface proteins were then blotted with an antibody against the GABAAR β3 subunit or as a control with an antibody against the AMPAR GluR1 subunit. This approach revealed that, although gephyrin RNAi reduces gephyrin levels, it does not have a significant effect on the number of cell surface GABAARs containing β3 subunits or AMPARs containing GluR1 subunits (Fig. 5c).
Together, these results suggest that gephyrin may not be a prerequisite for the formation of GABAAR clusters but may play a critical role in regulating cluster stability at the cell surface.
Gephyrin regulates GABAAR cluster mobility
To further investigate the role of gephyrin in cell surface GABAAR cluster stability, we used pHluorin-tagged subunits in a live imaging approach. Initially, our studies focused on receptors containing pHGFPγ2 subunits to visualize the effects of gephyrin RNAi on cell surface GABAARs. This subunit was chosen, because it exhibits a higher degree of synaptic targeting compared with the β3 subunit (Fig. 1b) (Danglot et al., 2003), and the size and distribution of γ2 and gephyrin clusters are nearly identical (Danglot et al., 2003). Moreover, previous studies using hippocampal neurons from gephyrin knock-out mice and cultured neurons from wild-type animals treated with antisense oligonucleotides against gephyrin both exhibit specific losses in synaptic clusters of GABAARs containing γ2 subunits (Essrich et al., 1998; Kneussel et al., 1999, 2001; Levi et al., 2004). For these studies, we used pCONγ2, which expresses the pHGFPγ2 subunit alone, and pGEPHγ2, which expresses both the pHGFPγ2 subunit and RNAi against gephyrin. Importantly, pCONγ2 and pGEPHγ2 produced comparable levels of pHGFPγ2 expression as measured by lysates of expressing HEK 293 cells (supplemental Fig. 1h, available at www.jneurosci.org as supplemental material). We first examined the synaptic targeting of the pHGFPγ2 subunit in 14 DIV hippocampal neurons chronically expressing pGEPHγ2. In control neurons expressing pCONγ2, abundant clusters of pHGFPγ2 subunits were evident, and the majority of these were judged to be synaptic (Figs. 1b;6a,b). In contrast, neurons expressing pGEPHγ2 showed a 48.6% decrease in the density of synaptic receptor clusters containing pHGFPγ2 subunits per 50 μm (3.73 ± 0.35 in gephyrin RNAi neurons compared with 7.68 ± 0.50 in control cultures) (mean ± SEM; 8-10 neurons of each type were analyzed from two to three independent cultures) and an increase in diffuse surface staining (Fig. 6a-c). This effect of RNAi on the clustering of recombinant receptor subunits is reminiscent of our studies on endogenous GABAARs (Fig. 4), further suggesting a specific role for gephyrin in regulating the stability of receptor clusters on the surface of neurons. To further test this, we examined the effects of reducing gephyrin expression on the mobility of GABAAR clusters on the surface of hippocampal neurons. This necessitated the use of live imaging because it was evident that clusters in neurons expressing pGEPHγ2 exhibited significantly enhanced mobility, compromising the use of FRAP. Therefore, we measured the positions of individual clusters at 20 s intervals over a 4 min recording period at 37°C. In control neurons expressing pCONγ2, cell surface clusters of GABAARs containing pHGFPγ2 subunits exhibited an average velocity of 3.029 ± 0.702 × 10-3 μm/s (Fig. 7c; supplemental movie 2, available at www.jneurosci.org as supplemental material) (mean ± SEM; n = 8-9 in three independent experiments). In contrast, neurons expressing pGEPHγ2 showed an increased average cluster velocity of 9.011 ± 1.635 × 10-3 μm/s (Fig. 7c; supplemental movie 3, available at www.jneurosci.org as supplemental material) (mean ± SEM; n = 8-9 in three independent experiments). This value is threefold higher than that seen for pHGFPγ2 subunits under control conditions (p < 0.01). Interestingly, the modes of cluster mobility in the absence and presence of gephyrin also appear to be distinct. In the presence of gephyrin, the clusters oscillate around a central axis (Fig. 7a), whereas in neurons expressing RNAi against gephyrin, larger more erratic movements are observed (Fig. 7b).
Finally, we examined the effects of ablating gephyrin on the mobility of GABAARs incorporating pHGFPβ3 subunits. For these experiments, we used pCONβ3 and an additional vector pGEPHβ3 that expresses both pHGFPβ3 and RNAi against gephyrin. Significantly, immunoblotting of HEK 293 cells revealed that these vectors express equivalent levels of pHGFPβ3 (supplemental Fig. 1g, available at www.jneurosci.org as supplemental material). In control neurons expressing pCONβ3, receptor clusters containing pHGFPβ3 have an average velocity of 2.752 ± 0.338 × 10-3 μm/s (mean ± SEM; n = 8-9 in three independent experiments), very similar to values seen for clusters incorporating pHGFPγ2 subunits (Fig. 7c). In contrast, pHGFPβ3 clusters in neurons expressing pGEPHβ3 exhibit a higher mobility of 9.067 ± 2.698 × 10-3 μm/s (mean ± SEM; n = 8-9 in three independent experiments). This value is significantly higher than that seen in control neurons (p < 0.01), and similar to that seen for receptor clusters incorporating γ2 subunits in the absence of gephyrin (9.011 ± 1.635 × 10-3 μm/s; Fig. 7c).
Together, these observations with both pHluorin-tagged γ2 and β3 subunits are consistent with a critical role for gephyrin in regulating the lateral mobility of GABAAR clusters.
Discussion
Using FRAP, we have compared the relative mobilities of synaptic and extrasynaptic GABAAR pools in hippocampal neurons. Our results revealed that extrasynaptic receptors exhibited rapid rates of FRAP that reached 50% of the initial intensity within 15 min. Moreover, the rate of FRAP in neurons was found to be slower for central domains within photobleached areas compared with peripheral regions. Together, these observations demonstrate that FRAP in our experiments is dependent on mobility of GABAARs from unbleached areas, rather than intracellular trafficking. This is consistent with just-published electrophysiological data showing dynamic lateral mobility of GABAAR between extrasynaptic and synaptic locations restoring synapse function (Thomas et al., 2005).
In our studies, FRAP for synaptic receptors was found to be approximately threefold lower than that observed for extrasynaptic receptors over the same time period. Although FRAP is an average measure of population dynamics, in contrast to single-particle tracking of individual receptors, our results are consistent with lower rates of lateral mobility for GABAARs at inhibitory synapses compared with their extrasynaptic equivalents. This strongly suggests the selective reduction of GABAAR lateral mobility at inhibitory postsynaptic specializations. Similar mechanisms have recently been postulated to be responsible for the accumulation of both glutamate and glycine receptors at synaptic sites (Dahan et al., 2003; Groc et al., 2004).
The selective confinement of GABAARs at inhibitory synapses is likely to be regulated by both presynaptic and postsynaptic mechanisms. With regard to possible postsynaptic mechanisms, a number of GABAAR-interacting proteins have been identified recently, including GABARAP (GABAAR-associated protein), PLIC-1 (homolog of the yeast DSK protein), and HAP1 (huntingtin-associated protein-1) (Wang et al., 1999; Bedford et al., 2001; Kittler et al., 2004). Although interaction with these binding partners has been established to regulate receptor trafficking within the endocytic and secretory pathways, they do not appear to facilitate receptor accumulation at inhibitory synapses. In contrast, gephyrin, a protein that is critical for regulating the clustering of glycine receptors and the synthesis of molybdenum cofactor, also appears to be of significance in controlling the accumulation of GABAARs at synaptic sites (Kneussel and Betz, 2000a; Kittler and Moss, 2003). Gephyrin is enriched at GABAergic postsynaptic specializations throughout the CNS, and moreover gene knock-out and antisense approaches have revealed that reducing gephyrin expression compromises the accumulation of GABAAR subtypes containing α2 or γ2 subunits at inhibitory synapses (Essrich et al., 1998; Kneussel et al., 1999, 2001; Levi et al., 2004).
To further assess the role of gephyrin in the construction of inhibitory synapses, we used plasmid-based RNAi to selectively modify expression levels of this protein in hippocampal neurons (Hannon and Rossi, 2004). Using this approach, we were able to abolish gephyrin expression in transfected neurons as measured using immunohistochemistry. This loss of gephyrin expression significantly reduced, but did not completely abolish, the clustering of GABAA receptors containing α2or γ2 subunits at synaptic sites, without altering the density of presynaptic innervation (Essrich et al., 1998; Kneussel et al., 1999, 2001; Levi et al., 2004). Using biochemical analysis, we were able to further establish that this reduction of receptor clustering in the absence of gephyrin did not result from a general decrease in GABAAR expression levels or a reduction in cell surface number. Together, these observations suggest that gephyrin per se is not an essential requirement for the formation of GABAAR clusters, but may act to specifically regulate the stability of GABAA receptor clusters.
To further address the role of gephyrin in regulating accumulation of GABAAR at inhibitory synapses, we used real-time imaging to compare the mobility of receptor clusters in the presence and absence of gephyrin. In the presence of endogenous gephyrin, GABAAR clusters containing either pHGFPγ2 or pHGFPβ3 subunits exhibited low rates of mobility on the cell surface. In contrast, pHGFPγ2 and pHGFPβ3 subunit-containing GABAAR clusters formed in the absence of gephyrin demonstrated threefold higher levels of mobility. Therefore, our results are consistent with a specific role for gephyrin in restricting the mobility of GABAAR clusters on the cell surface of neurons and thereby promoting GABAAR accumulation at inhibitory synapses.
The precise mechanism underlying the effects of gephyrin on stabilization of GABAAR clusters remains to be determined. Gephyrin has been shown to self-associate into trimeric structures (Sola et al., 2001, 2004; Schrader et al., 2004), which is believed to contribute to the molecular basis underlying the ability of this protein to act as a molecular scaffold at inhibitory synapses (Kneussel and Betz, 2000b; Xiang et al., 2001). In addition, gephyrin interacts with microtubules, regulators of the actin cytoskeleton, and directly binds to glycine receptors and thereby anchors these receptors to the cytoskeleton at synaptic sites (Kneussel and Betz, 2000a). However, to date, it has not been possible to demonstrate direct binding of GABAARs to gephyrin, suggesting that this interaction may be mediated by intermediate protein(s) or via labile covalent modifications of either protein.
Together, our studies illustrate for the first time that synaptic and extrasynaptic GABAARs have differing levels of confinement on the surface of hippocampal neurons. Moreover, our results highlight a novel role for the inhibitory postsynaptic protein gephyrin in reducing GABAAR diffusion, thereby enhancing GABAAR accumulation at inhibitory synapses. Our data support the emerging model of regulated lateral diffusion (Triller and Choquet, 2005), where differences in receptor surface dynamics are likely to be critical during synaptogenesis but could also be part of a general mechanism for regulation of synaptic strength.
Footnotes
This work was supported by Medical Research Council (United Kingdom), Wellcome Trust, and National Institutes of Health Grants NS 046478 and NS 048045 (S.J.M.). We thank Jim Rothman for the pHlourin construct, Sam Wilson and Dr. P. Kellam for the pGEM vector (The Windeyer Institute, University College London, London, UK), and Jean-Marc Fritschy (University of Zurich, Zurich, Switzerland) for antibodies against the GABAA receptor α2 subunit.
Correspondence should be addressed to Dr. Stephen J. Moss, Professor of Neuroscience, Department of Neuroscience, 145 Johnson Pavilion, Hamilton Walk, Philadelphia, PA 19104. E-mail: sjmoss{at}mail.med.upenn.edu.
Copyright © 2005 Society for Neuroscience 0270-6474/05/2510469-10$15.00/0
↵* T.C.J. and Y.D.B. contributed equally to this manuscript.