The Journal of Neuroscience, March 22, 2006, 26(12):3357-3364; doi:10.1523/JNEUROSCI.4799-05.2006
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Cellular/Molecular
Contributions of the GABAA Receptor
6 Subunit to Phasic and Tonic Inhibition Revealed by a Naturally Occurring Polymorphism in the
6 Gene
Vijayalakshmi Santhakumar,1
H. Jacob Hanchar,2
Martin Wallner,2
Richard W. Olsen,2 and
Thomas S. Otis1
Departments of 1Neurobiology and 2Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California 90095
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Abstract
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GABAA receptors (GABARs) are heteromultimeric proteins composed of five subunits. The specific subunit composition determines critical properties of a GABAR such as pharmacological sensitivities and whether the receptor contributes to synaptic or extrasynaptic forms of inhibition. Classically, synaptic but not extrasynaptic GABARs are thought to respond to benzodiazepines, whereas the reverse has been suggested for ethanol. To examine the effects of subunit composition on GABAR function in situ, we took advantage of two naturally occurring alleles of the rat gene for GABAR subunit
6 (Gabra6100R and Gabra6100Q). Depending on their subunit partners, these two variants of
6 can lead to differential sensitivities to benzodiazepines and ethanol. An examination of synaptic and extrasynaptic GABA-mediated currents in cerebellar granule cells from Gabra6100R/100R and Gabra6100Q/100Q rats uncovered marked allele-dependent differences in benzodiazepine sensitivity. Unexpectedly, we found that the benzodiazepines flunitrazepam and diazepam enhanced extrasynaptic inhibition mediated by
subunit-containing GABARs in Gabra6100Q/100Q rats. Complementary experiments on recombinant GABARs confirmed that, at subsaturating [GABA], flunitrazepam potentiates
6/
subunit-containing GABARs. Based on data and a simple theoretical analysis, we estimate that the average extrasynaptic [GABA] is
160 nM in perfused slices. These results (1) demonstrate contributions of
6 subunits to both synaptic and extrasynaptic GABA responses, (2) establish that
subunit-containing GABARs are benzodiazepine sensitive at subsaturating [GABA] and, (3) provide an empirical estimate of extrasynaptic [GABA] in slices.
Key words: granule cell; cerebellum; benzodiazepine; flunitrazepam; flumazenil; extrasynaptic inhibition
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Introduction
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The multiple ways in which GABAergic neurotransmission shapes neural activity can be attributed to two spatially and temporally unique modes of inhibition (Brickley et al., 1996
; Wall and Usowicz, 1997
; Mody, 2001
; Farrant and Nusser, 2005
). Phasic or synaptic inhibition is believed to result from high GABA concentration transients acting on synaptic GABA receptors (GABARs) composed of two
subunits (usually
1
3 or
5), two
subunits, and a
subunit (Farrant and Nusser, 2005
). In contrast, tonic inhibition is thought to arise primarily from ambient GABA acting on extrasynaptic GABARs containing two
4 or
6 subunits with two
subunits and a
subunit (Mody, 2001
; Farrant and Nusser, 2005
). These distinct subunit compositions predict that synaptic and extrasynaptic GABARs will show different sensitivities to benzodiazepines. This is because benzodiazepine sensitivity is believed to arise only in GABARs containing one of the "synaptic"
subunits (Wieland et al., 1992
; Mohler et al., 2001
) and a
2 subunit (Barnard et al., 1998
; Hevers and Luddens, 1998
). In contrast, GABARs composed of "extrasynaptic"
subunits in combination with
are thought to be insensitive to benzodiazepines (Saxena and Macdonald, 1996
).
Many of the details of synaptic and extrasynaptic GABAergic inhibition have been uncovered by studying cerebellar granule cells (CGCs). These neurons express several GABAR subunits (
1,
6,
2,
3,
, and
2) that, with the exception of the exclusively extrasynaptic
subunits (Nusser et al., 1998
), are found in both synaptic and extrasynaptic membranes. Immunoprecipitation experiments show that
subunits partner principally with
6 subunits (Jechlinger et al., 1998
; Poltl et al., 2003
). Furthermore, knock-out mice confirm that
and
6 subunits coassemble (Jones et al., 1997
) and are necessary for tonic inhibition (Brickley et al., 2001b
; Stell et al., 2003
). Interestingly, despite the localization of
6 subunits within synaptic membranes (Nusser et al., 1998
), deletion of the
6 gene has little effect on phasic inhibition (Brickley et al., 2001b
).
Recently, we described a naturally occurring single nucleotide polymorphism in the rat GABAR
6 subunit gene (Hanchar et al., 2005
). Previous work had shown that the resulting amino acid change [
6(R100Q)] converts recombinant
6
2
2 GABARs from benzodiazepine insensitive to benzodiazepine sensitive (Korpi et al., 1993
). However, the effect of this change in
6 on the benzodiazepine sensitivity of synaptic and extrasynaptic currents in CGCs has not been tested. In the present study, we examine the benzodiazepine sensitivities of recombinant GABARs of various subunit composition and of phasic and tonic inhibitory currents in Gabra6100R/100R and Gabra6100Q/100Q rats. Our findings demonstrate that the substitution does affect native GABARs. The data indicate that
6 subunit-containing GABARs participate in synaptic and extrasynaptic inhibition in CGCs. Moreover, we unexpectedly find that both native and recombinant
subunit-containing GABARs can show benzodiazepine sensitivity at subsaturating concentrations of GABA.
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Materials and Methods
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Electrophysiology.
Parasagittal slices of the cerebellum (300 µm) from 21- to 40-d-old Sprague Dawley rats homozygous for either
6100R or
6100Q subunits were prepared using standard techniques (Brickley et al., 2001b
; Hanchar et al., 2005
). The slicing solution consisted of the following (in mM): 85 NaCl, 75 sucrose, 24 NaHCO3, 25 glucose, 4 MgCl2, 2.5 KCl, 1.25 NaH2PO4, and 0.5 CaCl2. Slice storage and recording solutions were saturated with 95% O2/5% CO2 and consisted of the following (in mM): 119 NaCl, 26 NaHCO3, 11 glucose, 2.5 KCl, 2.5 CaCl2, 1.3 MgCl2, and 1 NaH2PO4. All procedures were in accordance with a protocol approved by the University of California at Los Angeles Chancellor's Animal Research Committee. For voltage-clamp recordings (holding potential of 70 mV, 2023°C), whole-cell pipettes contained the following (in mM): 140 CsCl, 10 HEPES, 1 EGTA, 4 Mg-ATP, and 0.4 GTP, titrated to pH 7.3 with CsOH. Recording pipettes had a bath resistance of 510 M
.
Standard methods were used for isolation, injection, and recordings from Xenopus laevis oocytes (Wallner et al., 2003
). Briefly, oocytes were injected with 0.4 ng of
and
2 subunit cRNA and 2 ng of
or
2 subunit cRNA. GABAR currents were recorded using an Axoclamp 1D amplifier (Molecular Devices, Palo Alto, CA) in two-electrode voltage-clamp configuration at a holding potential of 80 mV. Recordings were obtained 34 d after oocyte injection for
2 subunit-containing receptors and 1415 d after injection for
subunit-containing receptors. Recording electrodes contained 3 M KCl and had resistances between 0.5 and 1.5 M
. The recording solution consisted of the following (in mM): 96 NaCl, 2 KCl, 1.8 CaCl2, 1 MgCl2, and 5 HEPES titrated to a pH of 7.5. Solution exchanges were triggered with a programmable valve bank switching a three-way solenoid valve, and bath volume exchange occurred in 13 s.
Analysis and statistics.
Whole-cell data were filtered at 5 kHz and acquired at a sampling rate of 20 kHz. Analysis was conducted using customized routines written in Igor Pro 4.0 (WaveMetrics, Lake Oswego, OR). Because glutamate receptor antagonists have been shown to alter spontaneous IPSC (sIPSC) frequency (Brickley et al., 2001a
), glutamate receptor antagonists were not included in the recording solution. Occasional EPSCs were identified by their characteristic rapid decay kinetics and excluded from the analysis of spontaneous events (Rossi and Hamann, 1998
; Hanchar et al., 2005
). Unless stated otherwise, IPSC
decay is reported as a weighted decay of biexponential decay fits to the average traces of over 10 events in each cell. Tonic GABAR-mediated current was defined as the steady-state current blocked by 10 µM SR95531 [6-imino-3-(4-methoxyphenyl)-1(6H)-pyridazinebutanoic acid hydrobromide] its magnitude was calculated by plotting all-point histograms of relevant 30 s segments of data. These data were fit to Gaussian equations, constraining fits to values two bins more negative than the peak. This ensured that the tail of higher-amplitude values (representing sIPSCs) did not influence the fit.
As confirmation of the accuracy of this approach, we applied an additional analysis method in which baseline and tonic GABA current measurements were not contaminated by sIPSC decays (Nusser and Mody, 2002
). Briefly, using the same 30 s segments mentioned above, the mean and SD of 5 ms epochs of data taken every 100 ms were calculated. Mean values were accepted for additional analysis if the corresponding SD for that 5 ms segment was <4 pA. For experiments in 200 nM SR95331, which decreased tonic currents by
80% (data not shown), only cells with >2 pA tonic current in low SR95331 were included in the analysis. In all cases, the effects of benzodiazepines on tonic current were compared with changes in tonic current observed over otherwise identical sham perfusion periods.
SigmaStat for Windows version 3.1 (Systat Software, Port Richmond, CA) was used to perform statistical comparisons. Normal distribution of the datasets was assessed using the KolmogorovSmirnov test. Normally distributed data were analyzed using paired and unpaired Student's t tests as appropriate. Nonparametric Wilcoxon's signed rank test (WSRT for paired data) or MannWhitney rank sum test (MWRST for unpaired groups) was used to assess the statistical significance of data deviating from normality. p values <0.05 were accepted as significant. Unless otherwise stated, values are reported as mean ± SEM.
Theoretical prediction of [GABA] based on tonic current amplitude.
The curve in Figure 6C was generated by applying the following Hill equation: Itonic = Itonic, max/[1 + (Kd/[GABA])n], where Kd was 700 nM, the EC50 was measured for recombinant
6
3
GABARs (Hanchar et al., 2005
), and n, the Hill exponent, was 2. Itonic, max was estimated by using the average amplitude of tonic current in 300 nM GABA (35 pA); solving the Hill equation predicted a maximal tonic current of 225 pA. Using this value for Itonic, max we constructed predicted fold increases in response to 300 nM GABA given the amplitudes of the tonic currents in control. This simple analysis assumes the following: (1) the level of Itonic in control is determined solely by the [GABA], (2) the GABARs generating tonic current have properties similar to recombinant
6
3
GABARs, (3) all CGCs have the same Itonic, max, and (4) GABA uptake does not significantly reduce the effective [GABA] achievable by bath application at extrasynaptic receptors. Although these assumptions are clearly oversimplifications, if anything they are expected to decrease the accuracy of the fit. Goodness of fit (R2 = 0.787) of the theoretical curve was calculated using nonlinear regression analysis. Considering that the theoretical curve in Figure 6C describes the data so well, we conclude that variations in extrasynaptic [GABA] must be a major factor in determining the size of Itonic.
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Results
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The
6(R100Q) subunit polymorphism prolongs synaptic currents
Phasic, sIPSCs were recorded from CGCs of rats homozygous for either the wild-type (Gabra6100R) or the Gabra6100Q allele. Consistent with previous reports (Hanchar et al., 2005
), there was no difference in either sIPSC amplitudes (Gabra6100R/100R, 33.38 ± 3.0 pA; Gabra6100Q/100Q, 34.6 ± 1.91 pA; t test) or frequencies (Gabra6100R/100R, 1.16 ± 0.25 Hz, n = 16; Gabra6100Q/100Q, 1.40 ± 0.28 Hz, n = 16; t test) between the two groups (Fig. 1AC). However, in contrast to the lack of effect on sIPSC amplitude/frequency, weighted decay rates of sIPCSs were significantly prolonged in rats expressing the Gabra6100Q allele (Fig. 1D,E). Analysis of the fits to the sIPSC decays discussed in the next section argue that
6(100Q) subunit-containing GABARs are present in synaptic rather than perisynaptic locations because genotype-dependent differences are observed in the early phases of sIPSC decays. Together, these data suggest that
6 contributes to synaptic GABARs and are consistent with previous reports that the Gabra6100Q allele does not alter the levels of other GABAR subunits (Korpi et al., 1993
).
Slower sIPSC decays could reflect intrinsic differences in gating kinetics of GABARs composed of
6(100R) versus
6(100Q) subunits. Alternatively, the increased benzodiazepine sensitivity of GABARs containing
6(100Q) and
subunits might render such GABARs sensitive to an endogenous benzodiazepine-like modulator. We tested the latter possibility by looking for genotype-dependent differences in the effects of the benzodiazepine site antagonist flumazenil (Fz) (Otis and Mody, 1992
). As illustrated in Figure 2, the drug had no effect on the sIPSC decay rate in either genotype [Gabra6100R/100R, 4.84 ± 0.28 ms in artificial CSF (ACSF) to 4.58 ± 0.61 ms in flumazenil, n = 9; Gabra6100Q/100Q, 7.24 ± 1.37 ms in ACSF to 7.07 ± 0.91 ms in flumazenil, n = 9; t test], indicating that endogenous benzodiazepine site ligands are not responsible for slowing of the sIPSCs in Gabra6100Q/100Q rats. These findings provide additional support for the idea that GABARs with
6 subunits participate in phasic inhibition.

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Figure 2. sIPSC decay is unaffected by a benzodiazepine site antagonist in Gabra6100Q/100Q rats. A, Representative current traces in CGCs recorded from Gabra6100R/100R (left traces) and Gabra6100Q/100Q (right traces) slices in ACSF or in flumazenil. B, Summary histograms show that the weighted decay time constants of sIPSCs are not changed by Fz in either Gabra6100R/100R or Gabra6100Q/100Q rats (p > 0.05, t test). A, ACSF.
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The
6(R100Q) polymorphism enhances benzodiazepine sensitivity of synaptic currents
Because the
6(R100Q) polymorphism occurs at a site critical to benzodiazepine modulation (Wieland et al., 1992
; Korpi et al., 1993
), we examined whether the classical benzodiazepine flunitrazepam (Flu) had a differential effect on sIPSCs in Gabra6100R/100R and Gabra6100Q/100Q rats. Flunitrazepam (1 µM) had no effect on sIPSC amplitude (Fig. 3B), frequency (Gabra6100R/100R, 1.41 ± 0.39 Hz in ACSF, 1.92 ± 0.49 Hz in Flu, n = 7, t test; Gabra6100Q/100Q, 0.81 ± 0.26 Hz in ACSF, 1.32 ± 0.49 Hz in Flu, n = 6; p > 0.05 WSRT) or 2080% rise time (Gabra6100R/100R, 0.53 ± 0.09 ms in ACSF, 0.61 ± 0.08 ms in Flu, n = 7, t test; Gabra6100Q/100Q, 0.63 ± 0.0.06 ms in ACSF, 1.15 ± 0.36 ms in Flu, n = 6; WSRT), but it did significantly slow sIPSC decays in both genotypes (Gabra6100R/100R, 6.29 ± 0.81 ms in ACSF, 10.38 ± 1.39 ms in Flu; Gabra6100Q/100Q, 10.33 ± 1.38 ms in ACSF, 25.42 ± 4.23 ms in Flu; p < 0.05, t test). Normalized data also showed clear genotype-dependent effects on sIPSC kinetics (Fig. 3C,D). For both genotypes, the effects of benzodiazepines were prevented by the benzodiazepine site antagonist. Flunitrazepam failed to prolong the sIPSC decay when applied in the presence of flumazenil (Gabra6100R/100R, 5.85 ± 0.99 ms in ACSF, 5.23 ± 0.4 ms in Flu, n = 3; Gabra6100Q/100Q, 7.34 ± 0.1.54 ms in ACSF, 6.56 ± 1.01 ms in Flu, n = 8; t test). The slower decay observed in Gabra6100Q/100Q rats led to a considerably larger flunitrazepam enhancement of charge transfer in the Gabra6100Q/100Q rats (Fig. 3E). Together, these data imply that the
6(R100Q) polymorphism increases the benzodiazepine sensitivity of synaptic GABARs.
The above analysis was conducted on weighted decay time constants that simplify biexponential decay parameters to a single value. Yet by examining all parameters of double-exponential fits, it might be possible to see whether a genotype-dependent difference could be detected in the earliest phases of sIPSC decays. In Gabra6100R/100R rats, although no statistically significant effect of flunitrazepam was observed on the fast (
fast) (5.09 ± 0.22 ms in ACSF, 7.87 ± 1.43 ms in Flu; t test) or slow (
slow) (23.03 ± 3.87 ms in ACSF, 20.19 ± 2.67 ms in Flu; t test) time constants, the weight of the fast component was decreased (96.65 ± 1.64 ms in ACSF, 80.12 ± 9.02 ms in Flu; p < 0.05, WSRT). In Gabra6100Q/100Q rats, the effects were more complicated. Biexponentials were required to fit the sIPSC decay in ACSF (
fast, 8.02 ± 1.88 ms contributing to 70.75 ± 13.79% and
slow, 16.22 ± 1.94 ms), but, in flunitrazepam, biexponential fits gave very similar fast and slow time constants (
fast, 24.81 ± 2.41 ms contributing to 48.64 ± 5.64% and
slow, 25.9 ± 14.39 ms). Indeed, a single exponential of 22.21 ± 2.41 ms was sufficient to describe the decay under these conditions. Nonetheless, analysis of the effects of flunitrazepam on
fast in Gabra6100Q/100Q rats showed a significant difference on this earliest phase of decay (
fast, 8.02 ± 1.88 ms in ACSF, 24.81 ± 2.41 ms in Flu; p < 0.05, t test). Such genotype-dependent differences in the effect of flunitrazepam on the early phases of sIPSC decays indicate that
6 subunit-containing GABARs are located within the synaptic cleft.
Tonic inhibition is sensitive to benzodiazepines in animals expressing the
6(R100Q) polymorphism
Tonic inhibition of CGCs in slice preparations is primarily mediated by GABARs composed of
6,
2/3, and
subunits (Brickley et al., 2001b
; Stell et al., 2003
; Hanchar et al., 2005
), a composition thought to be benzodiazepine insensitive. A study of cultured CGCs seems to challenge this view by reporting that flunitrazepam enhances tonic inhibition (Leao et al., 2000
). This discrepancy could be explained in two ways: (1) in culture preparations, tonic inhibition may arise from
1/
2 subunit-containing as well as
6/
subunit-containing GABARs, or (2) GABARs composed of
6,
2/3, and
subunits may be benzodiazepine sensitive under certain conditions. Considering the prevalence of the Gabra6100Q allele in Sprague Dawley rats (Hanchar et al., 2005
) that were the animals used to prepare cultures in the study by Leao et al. (2000)
, we examined whether tonic currents in CGCs of Gabra6100Q/100Q rats are benzodiazepine sensitive.
In the absence of benzodiazepines, the magnitude of tonic GABA current, measured as the steady-state current at 70 mV blocked by 10 µM SR95331, was the same in both genotypes (Fig. 4A,B). Flunitrazepam (1 µM) caused either a small increase (five of seven cells) or no change (two of seven cells) in tonic current in CGCs from Gabra6100R/100R rats but significantly increased the steady-state current in all 11 CGCs from Gabra6100Q/100Q rats (Fig. 4). Similarly, diazepam (1 µM) also enhanced tonic GABA currents in Gabra6100Q/100Q rats (14.30 ± 4.48 pA in ACSF to 17.77 ± 5.22 pA in diazepam; n = 5; 37.19 ± 21.32% increase; p < 0.05 t test). However, in the presence of the benzodiazepine antagonist flumazenil (1 µM), flunitrazepam failed to enhance tonic currents (10.74 ± 2.74 pA in ACSF to 9.18 ± 2.85 pA in Flu and Fz; n = 5; 94.31 ± 16.86% of control; p = 0.75, t test).

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Figure 4. Genotype-dependent difference in flunitrazepam augmentation of tonic GABA current. A, Tonic GABA currents in CGCs recorded from Gabra6100R/100R (top) or Gabra6100Q/100Q (bottom) slices in the presence of 1 µM Flu or in the GABAR antagonist SR95531 (10 µM). To the right are histograms of all points in each segment. Gaussian fits to each condition are superimposed. The dashed lines indicate the mean current from these fits. B, Plot of the mean ± SEM tonic GABA current in CGCs shows no genotype-dependent differences. C, Summary of the percentage change in tonic current amplitude caused by 1 µM flunitrazepam in the two genotypes in ACSF and in 200 nM SR95531 in Gabra6100Q/100Q rats. *p < 0.05; WSRT in ACSF, t test in 200 nM SR95531.
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There is concern that prolonged sIPSC decays might mask as tonic current in Gabra6100Q/100Q rats, an effect that would allow synaptic GABARs to contribute to steady-state current. To address this, we performed two additional analyses and an additional experiment. First, we calculated the changes in the amplitude and variance of baseline current caused by flunitrazepam using an alternative method to minimize the contribution of IPSC decay (see Materials and Methods). This analysis also showed a significant enhancement of tonic GABA currents (10.37 ± 2.4 pA in ACSF to 17.28 ± 2.90 pA in Flu, n = 11; 58.07 ± 26.77% increase; p < 0.005, WSRT) and baseline SD (2.37 ± 0.16 pA in ACSF to 2.7 ± 0.13 pA in Flu; p < 0.001, WSRT) in Gabra6100Q/100Q rats. In contrast, the small increase in tonic GABA currents in Gabra6100R/100R rats (15.84 ± 3.14 pA in ACSF to 18.67 ± 3.410 pA in Flu; n = 9; 26.13 ± 13.33% increase; p > 0.05, t test) and baseline SD (2.55 ± 0.21 pA in ACSF to 2.7 ± 0.18 pA in Flu; p > 0.05, t test) was not statistically significant. Second, we found no correlation between the degree of flunitrazepam enhancement of tonic current and the sIPSC frequency in either genotype (data not shown). Finally, we measured tonic current under conditions in which sIPSCs were selectively inhibited by 200 nM SR95331 (Stell and Mody, 2002
). This treatment decreased the sIPSC frequency by 92 ± 2% without altering the flunitrazepam potentiation of tonic inhibition (Fig. 4C).
Flunitrazepam modulates recombinant
6/
subunit-containing GABARs
Benzodiazepine sensitivity of tonic current might be increased in animals with the
6(R100Q) polymorphism not because
6/
subunit-containing GABARs become benzodiazepine-sensitive but because the polymorphism makes
6/
2 subunit-containing GABARs become more sensitive to GABA. To address this issue, we tested flunitrazepam sensitivity of GABARs composed of various subunits in X. laevis oocytes. We measured GABA doseresponse curves with and without 1 µM flunitrazepam (Fig. 5A,B) for four combinations of GABAR subunits [
6
3
2, red;
6(R100Q)
3
2, pink;
6
3
, green; and
6(R100Q)
3
, blue]. Consistent with previous studies on
2 subunit-containing GABARs (Korpi et al., 1993
), the
6(R100Q) polymorphism conferred benzodiazepine sensitivity on
6
3
2 GABARs as indicated by the leftward shift in GABA doseresponse curves (Fig. 5B,C, compare solid vs dotted pink and red curves in B and pink vs red curves in C). Surprisingly, both
6
3
and
6(100Q)
3
GABARs also exhibited significant flunitrazepam sensitivity (Fig. 5B,C, blue and green curves). However, flunitrazepam modulation of
subunit-containing GABARs was distinguished from the modulation of
2 subunit-containing GABARs in that it was seen in a much lower range of [GABA], with the peak flunitrazepam enhancement occurring at 10 µM GABA in
6(R100Q)
3
2 and at 100 nM GABA in both
6
3
and
6(100Q)
3
receptors (Fig. 5C).

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Figure 5. The 6(R100Q) polymorphism causes an increase in flunitrazepam sensitivity when coexpressed with either 2 or subunits. A, Representative current traces from oocytes demonstrate the effect of flunitrazepam on and 2 subunit-containing GABARs. B, Data and sigmoid fits show percentage of maximal current versus [GABA] for GABARs of the indicated subunit compositions with and without of 1 µM flunitrazepam [ 6 3 2, n = 4 in control, n = 3 in Flu; 6(R100Q) 3 2, n = 3 in control, n = 4 in Flu; 6 3 , n = 9 in control, n = 7 in Flu; and 6(R100Q) 3 , n = 6 in control, n = 5 in Flu]. C, Plots show peak enhancement of GABA current by 1 mM flunitrazepam calculated from the data in B and corresponding Gaussian fits for 2 and subunit-containing GABARs (n=4 for each subunit combination tested). D, Flunitrazepam doseresponse curves of recombinant GABARs in the presence of GABA concentrations at which maximum benzodiazepine potentiation was observed in the 2 and subunit-containing receptors in B [i.e., 10 µM GABA for 6 3 2 and 6(R100Q) 3 2; 100 nM GABA for 6 3 and 6(R100Q) 3 ; n=3 each]. Box in C indicates the flunitrazepam concentration (1 µM) used in A and B. In BD, data are normalized to the saturating GABA response in each oocyte in control, averaged across oocytes and presented as percentage ± SD.
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Such subunit-specific and [GABA]-dependent benzodiazepine effects place constraints on which GABAR subtypes contribute to tonic currents in our slice experiments. Previous estimates of ambient [GABA] range from tens of nanomolar to a few micromolar (Farrant and Nusser, 2005
). Comparison of Figures 4 and 5 illustrates that, at <1 µM GABA, only flunitrazepam enhancement of
subunit-containing but not
2 subunit-containing GABARs can explain the >70% increase of tonic currents in Gabra6100Q/100Q rats.
To rule out confounding influences that might occur if the polymorphism caused large changes in flunitrazepam dose dependency, we measured flunitrazepam doseresponse relationships using the [GABA] that yielded maximal enhancement by 1 µM flunitrazepam (i.e., 10 µM GABA for
2 subunit-containing and 100 nM GABA for
subunit-containing receptors). These experiments show that, for all of the tested subunit combinations, the flunitrazepam effect saturates at 1 µM. Although inclusion of
6(100Q) enhanced
2 subunit-containing receptors more markedly, the data confirm that
subunit-containing GABARs are also modulated by flunitrazepam at subsaturating [GABA] (Fig. 5D).
Measurements of tonic GABA current suggest that [GABA] is
160 nM
The brain slice data and tight concentration range over which
subunit-containing GABARs show flunitrazepam sensitivity imply a resting [GABA] of
100 nM. We directly probed the range of resting [GABA] responsible for tonic currents in slices from Gabra6100Q/100Q rats by bath application of 300 nM GABA, a concentration well below the 700 nM EC50 for
6(100Q)
2/3
receptors (Hanchar et al., 2005
). In every CGC tested (n = 9) (Fig. 6A), 300 nM GABA increased tonic current, indicating that the resting [GABA] surrounding these cells is below 300 nM. Mean tonic GABA current increased approximately threefold from 11.75 ± 2.4 to 35.08 ± 3.7 pA (p < 0.001, t test) (Fig. 6B). However, considerable variability in the amount of increase was evident between cells. Plotting the fold increase against the size of the tonic current before application of 300 nM GABA showed a clear decrease in the degree of enhancement in CGCs with larger tonic currents (Fig. 6C). This is consistent with the idea that variability in resting [GABA] accounts for the different levels of tonic currents. We tested this idea in a model with two simple assumptions: all CGCs have the same maximal tonic current, and this current has an EC50 of 700 nM and a Hill coefficient of 2 (for details, see Materials and Methods). Using the Hill equation, the model calculated the simple theoretical relationship (Fig. 6C, solid line) between the control tonic current amplitude and the fold increase expected during application of 300 nM GABA. Nonlinear regression analysis showed that the simulated curve fit the experimental data with R2 = 0.787. Based on the range of tonic currents in slices under control conditions (
325 pA), the theoretical relationship predicts that the resting [GABA] is in the 90250 nM range. The predicted range and the average resting [GABA] of 164 nM (Fig. 6C, dotted lines) corresponding to the mean current level of 11.75 pA are in agreement with the estimate derived from flunitrazepam experiments described above.

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Figure 6. An experimental estimate of the GABA concentration underlying the tonic current. A, An example of tonic currents recorded from a CGC from Gabra6100R/100R rat in ACSF or after perfusion of 300 nM GABA. All-points histograms of the displayed current traces are shown to the right along with Gaussian fits. B, Mean current amplitudes in ACSF and in 300 nM GABA for nine CGCs. *p < 0.05, t test. C, The fold increase caused by 300 nM GABA is plotted against the tonic current amplitude in ACSF for these nine cells. The solid line indicates the theoretical effect of 300 nM GABA based on the Hill equation assuming an EC50 of 700 nM and a Hill coefficient of 2 for the GABARs underlying the tonic current. Based on the average tonic current in ACSF of 11.75 pA, the theoretical curve predicts that an average GABA concentration of 164 nM is responsible for the tonic current in these cells.
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Discussion
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Contributions of
6 subunits to synaptic inhibition
Immunocytochemistry and biochemistry have provided complementary evidence that
6 subunits partner with
2/3 and
2 subunits to form GABARs at inhibitory synapses on CGCs (Jechlinger et al., 1998
; Nusser et al., 1998
). Moreover, functional properties of
6 and
2 subunit-containing GABARs seem ideally suited to detect the high concentration GABA transients that occur within the synaptic cleft (Saxena and Macdonald, 1996
). Several studies have attempted to test whether
6 subunits contribute to sIPSCs using furosemide, an antagonist of
6 subunit-containing receptors (Korpi et al., 1995
). However, these studies have reached different conclusions regarding the contribution of
6 subunits to fast inhibition (Tia et al., 1996
; Rossi and Hamann, 1998
; Wall, 2003
). In principle, genetic deletion of
6 offers another way to examine its contributions to synaptic GABARs. Although
6/ animals exist, the expression of other synaptic subunits (
1 and
2) is altered (Jones et al., 1997
; Nusser et al., 1999
), making it difficult to interpret changes in synaptic currents. Our approach takes advantage of a more subtle tool, a single nucleotide polymorphism that alters GABAR pharmacology in a subunit-specific way without changing expression (Korpi et al., 1993
) or GABA affinity (Hanchar et al., 2005
). We recognize that a potential limitation of this approach is that our results do not distinguish between
6
2/3
2 and
1
6
2/3
2 combinations detected by Poltl et al. (2003)
in immunoprecipitation studies. Additionally, it is also possible that an increase in perisynaptic localization of
6(100Q) subunit-containing receptors or an increase in the proportion of
1
6(100Q)
2/3
2 receptors might contribute to the prolonged sIPSC decay in CGCs from Gabra100Q/100Q rats. However, the effects of flunitrazepam on the earliest phases of the sIPSC decay demonstrate unambiguously that a large proportion of GABARs within the synaptic cleft must contain
6 subunits.
Benzodiazepine modulation of
6 and
subunit-containing GABARs
This study provides direct evidence that recombinant GABARs composed of
6(100Q) and
subunits can be modulated by benzodiazepines in a narrow range of GABA concentrations that are physiologically relevant for extrasynaptic inhibition. The GABA concentration dependence of benzodiazepine modulation might account for the discrepancy between the present results and previous studies, which did not find benzodiazepine effects on
subunit-containing GABARs (Saxena and Macdonald, 1996
). Our findings challenge the generally accepted views that a
subunit is required for, and that
6 prevents, benzodiazepine modulation of GABA receptors (Hevers and Luddens, 1998
). Our data suggest that in situ modulation of
6 and
subunit-containing GABARs could occur under conditions in which [GABA] is low. Because these are tonic currents, such modulation would be expected to result in large increases in charge transfer and profound effects on the excitability of CGCs. The effects would be most pronounced in animals carrying the benzodiazepine-sensitive allele of the
6 subunit. The abundance of this allele in rats (Hanchar et al., 2005
) could explain variability in previous reports regarding the sensitivity of tonic inhibition in CGCs to benzodiazepines (Leao et al., 2000
; Hamann et al., 2002
; Wall, 2005
).
An empirical estimate of the free GABA in brain slices
In our examination of recombinant GABARs, we observed a marked GABA concentration dependence for benzodiazepine modulation, and the concentration ranges yielding maximal enhancement were dependent on subunit composition. The GABA concentration dependence correlated with the relative affinities of
2 and
subunit-containing GABARs for GABA: EC50 values for
6/
subunit-containing GABARs are
500700 nM, whereas for
6/
2 subunit-containing GABARs, they are 220 µM (Hanchar et al., 2005
). This correlation between GABA affinity and benzodiazepine modulation is consistent with proposed mechanisms of benzodiazepine action in which the modulators increase the effective affinity of GABA (Perrais and Ropert, 1999
). At higher steady-state GABA concentrations, benzodiazepines become less effective because the binding sites are fully occupied by GABA.
This behavior proved to be a useful indicator of the ambient GABA concentration underlying the tonic current. Flunitrazepam enhanced responses at 100 nM GABA mediated by recombinant
6(100R)
3
and
6(100Q)
3
receptors to the same extent as the tonic current was enhanced in CGCs of Gabra6100R/100R and Gabra6100Q/100Q rats. To see comparable increases for recombinant
6
3
2 receptors, it was necessary to have GABA concentration >1 µM. A separate line of experiments on slices from Gabra6100Q/100Q rats showed that the [GABA] generating tonic currents are much lower than 300 nM. Moreover, the degree to which 300 nM GABA was able to enhance tonic current in each cell could be predicted with surprising accuracy based on the level of tonic current in control. The simplest interpretation of the recombinant and native data are that tonic currents in perfused brain slices are generated by GABA concentrations of
150 nM acting on GABARs composed of the subunits
6(100R) or
6(100Q) and
. Because of the continual perfusion of the slice during experiments, we consider it likely that this is an underestimate of the resting [GABA] in vivo; indeed, recent recordings of CGCs in anesthetized rats indicate considerably larger tonic currents (Chadderton et al., 2004
). Our interpretation that
subunit-containing GABARs are responsible for tonic current is also consistent with recently reported findings that CGCs in
subunit knock-out mice lack tonic current (Stell et al., 2003
).
In summary, enhanced benzodiazepine modulation of both phasic and tonic inhibition in the cerebellum likely accounts for the greater motor impairment in response to benzodiazepines seen in rat lines expressing the
6(R100Q) subunit mutation (Korpi et al., 1993
). Small changes in tonic current are known to have profound effects on the excitability of granule cells (Hamann et al., 2002
; Mitchell and Silver, 2003
; Chadderton et al., 2004
). The hypersensitivity of the Gabra6100Q/100Q rats to benzodiazepines highlights the marked behavioral effects that can result when both synaptic and extrasynaptic GABARs are modulated under physiological conditions.
 |
Footnotes
|
|---|
Received July 10, 2005;
revised Feb. 6, 2006;
accepted Feb. 7, 2006.
This work was supported by National Institutes of Health Grants PO1 NS35985 (T.S.O. and R.W.O.) and AA07680 (R.W.O.), National Institutes of Health Fellowship AA015460 (H.J.H.), and an Alcoholic Beverage Medical Research Foundation grant (M.W.).
Correspondence should be addressed to Dr. Thomas S. Otis, Department of Neurobiology, University of California, Los Angeles, Box 951763, 63-314 Center for Health Sciences, Los Angeles, CA 90095-1763. Email: otist{at}ucla.edu
DOI:10.1523/JNEUROSCI.4799-05.2006
Copyright © 2006 Society for Neuroscience 0270-6474/06/263357-08$15.00/0
 |
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