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J Biol Chem, Vol. 275, Issue 19, 14198-14204, May 12, 2000


Tyrosine 62 of the gamma -Aminobutyric Acid Type A Receptor beta 2 Subunit Is an Important Determinant of High Affinity Agonist Binding*

J. Glen NewellDagger §, Martin DaviesDagger , Alan N. BatesonDagger ||**, and Susan M. J. DunnDagger §§

From the Dagger  Department of Pharmacology,  Division of Neuroscience, and the || Department of Psychiatry, 9-70 Medical Sciences Building, University of Alberta, Edmonton, Alberta T6G 2H7, Canada

    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES

The gamma -aminobutyric acid type A receptor (GABAAR) carries both high (KD = 10-30 nM) and low (KD = 0.1-1.0 µM) affinity binding sites for agonists. We have used site-directed mutagenesis to identify a specific residue in the rat beta 2 subunit that is involved in high affinity agonist binding. Tyrosine residues at positions 62 and 74 were mutated to either phenylalanine or serine and the effects on ligand binding and ion channel activation were investigated after the expression of mutant subunits with wild-type alpha 1 and gamma 2 subunits in tsA201 cells or in Xenopus oocytes. None of the mutations affected [3H]Ro15-4513 binding or impaired allosteric interactions between the low affinity GABA and benzodiazepine sites. Although mutations at position 74 had little effect on [3H]muscimol binding, the Y62F mutation decreased the affinity of the high affinity [3H]muscimol binding sites by ~6-fold, and the Y62S mutation led to a loss of detectable high affinity binding sites. After expression in oocytes, the EC50 values for both muscimol and GABA-induced activation of Y62F and Y62S receptors were increased by 2- and 6-fold compared with the wild-type. We conclude that Tyr-62 of the beta  subunit is an important determinant for high affinity agonist binding to the GABAA receptor.

    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES

The GABAAR1 is a member of a superfamily of ligand-gated ion channels that includes the nicotinic acetylcholine receptor (nAChR), the glycine receptor, and the serotonin type 3 receptor (1). The GABAAR carries binding sites for a number of therapeutic agents including the benzodiazepines, barbiturates, neurosteroids, some general anesthetics, and possibly also alcohol (1). In brain membranes, there are at least two classes of binding sites for the endogenous neurotransmitter, which differ by more than an order of magnitude in their affinity for GABA or its structural analogues (2-4). This heterogeneity in binding was originally thought to reflect the diversity of GABAAR subtypes in brain tissue. However, the presence of both classes of sites in a stable cell line expressing a specific subtype (5) suggests that both exist in a single receptor molecule. On the basis of biochemical studies, the reasonable correlation between the concentration of agonist required to elicit ion flux and to potentiate the binding of benzodiazepine ligands suggested that the low affinity sites are important for channel gating (see Ref. 6). However, the role(s) of the high affinity binding sites in receptor function remains unclear.

All members of this receptor family are believed to be pentameric complexes formed by homologous subunits assembled to form a central ion channel (7). Recent models (see Ref. 8) predict that ligand binding sites occur at subunit-subunit interfaces. This was first demonstrated in the nAChR in which the alpha -gamma and alpha -delta interfaces were implicated in forming nonequivalent binding sites for d-tubocurarine (9). In the GABAAR, low affinity GABA sites (i.e. those that have been implicated in channel activation) are thought to be located at the interfaces between the beta  and alpha  subunits (10-13), whereas the benzodiazepine binding site is predicted to occur at the homologous alpha -gamma interface (14-19). More detailed analyses of the properties of these sites have led to a "loop model" of ligand binding sites (see Ref. 20) in which amino acid residues from at least three discontinuous regions (denoted "loops" A-C) of one subunit together with residues from at least one region of the adjacent subunit ("loop" D) form the binding pocket (see Fig. 1A).

In the GABAAR, evidence for the location of the high affinity agonist site(s) is derived from a number of experimental approaches. Photoaffinity labeling studies first suggested that the beta  subunit is a major determinant of high affinity binding, because this was the principle site of photoincorporation of [3H]muscimol (21-23), although another report has given some indication that the alpha  subunit can also be labeled (10). Heterologous expression of different GABAAR subunit combinations indicates that coexpression of alpha  and beta  subunits is required for high affinity binding, and the alpha 1beta 3, alpha 1beta 3gamma 2, alpha 1beta 2, and alpha 1beta 2gamma 2 combinations have all been shown to form high affinity binding sites for [3H]muscimol (24, 25). Furthermore, expression of a tandem construct in which the C terminus of alpha 6 was covalently linked to the N terminus of the beta 2 subunit produced high affinity binding sites (26), although the receptors were nonfunctional.

Based on the above observations and homology considerations, we speculated that a high affinity agonist site in the GABAAR may be located at the alpha -beta subunit interface, in which the beta  subunit would contribute residues in loop D according to the model described above (see Fig. 1A). Candidate tyrosine residues (at positions 62 and 74) of the beta 2 subunit were identified by amino acid sequence alignment (Fig. 1B) based on previous work that residues in the homologous positions to Tyr-62 in the alpha  and gamma  subunits have been implicated in (low affinity) GABA and benzodiazepine binding, respectively (10, 12, 18). Both tyrosine residues were mutated to phenylalanine and to serine to evaluate the relative contributions of the aromatic rings and hydroxyl groups of these tyrosine residues to high affinity muscimol binding.


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Fig. 1.   A, model of a recombinant GABAAR showing putative stoichiometry and subunit arrangement, in addition to the binding sites for GABA and BZD. In the model (see Ref. 20), one subunit carries loops A-C, whereas the adjacent subunit carries loop D to form a recognition site. The N terminus to C terminus arrangement of the subunits is indicated by the arrows. Note that loop A of the beta  subunit has not been implicated in GABA binding to date. B, partial amino acid sequence alignment for the rat alpha 1, beta 2, and gamma 2 subunits of the GABAAR, gamma  and delta  subunits of the nAChR subunits, alpha  subunit of the glycine receptor (GlyR), and A subunit of the serotonin type 3 receptor (5HT3R) from loop D of the amino acid sequence of these ligand-gated ion channels (8). The numbering shown is for the mature beta 2 subunit. The shaded amino acid residues have been implicated in GABA (Phe-64 (GABAAR alpha 1)) (10, 12), benzodiazepine (Phe-77 (GABAAR gamma 2)) (17), d-tubocurarine (Trp-55/Trp-57 (nAChR gamma /delta )) (9), and granisetron (Trp-66 (serotonin type 3 receptor, A) 57) binding. An asterisk denotes the position of the tyrosine residue of the beta 2 subunit that forms part of the high affinity agonist binding site.

In this report, we demonstrate that Tyr-62 of the beta  subunit is an important determinant of high affinity muscimol binding. Substitution of phenylalanine at this position decreased the affinity for both mucimol and GABA, whereas substitution by serine led to a loss of detectable high affinity binding sites. In functional assays, both mutations increased the EC50 for channel activation. These results suggest that Tyr-62 of the beta  subunit is an important determinant for high affinity agonist binding and that although this residue may play some role in receptor activation, high affinity binding per se is not a requirement for channel gating.

    EXPERIMENTAL PROCEDURES
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES

Site-directed Mutagenesis-- The beta 2 mutants were generated using the Altered Sites® II in vitro mutagenesis system from the Promega Corp. (Madison, WI). The protocol for this system has been described (27). Single point mutants are named according to their position in the mature beta 2 subunit (Fig. 1B), which was determined by the calculation of the signal peptide cleavage site according to the algorithm of Nielsen et al. (28). The following oligonucleotides were designed for the mutagenesis procedure and were purified by polyacrylamide gel electrophoresis according to the method previously described (29): Y62F, 5'-TACACCTTGACCATGTTTTTCCAGCAAGCTTGGAGAGATAAGAGA-3'; Y62S, 5'-TACACCTTGACCATGTCTTTCCAGCAAGCTTGGAGAGATAAGAGA-3'; Y74F, 5'-TATTTCCAGCAAGCTTGGAGAGATAAGAGACTGTCCTTCAATGTAATCCCTTTA-3'; Y74S, 5'-TATTTCCAGCAAGCTTGGAGAGATAAGAGACTGTCCTCCAATGTAATCCCTTTA-3'; ampicillin repair, 5'-CACCACGATGCCTGCAGCAATGGCAAC-3'. The incorporation of silent HindIII restriction sites into the mutagenic oligonucleotides facilitated rapid screening of putative mutants, and the presence of the mutations was subsequently verified by DNA sequencing. For heterologous expression, all subunit cDNAs were subcloned into the pcDNA3.1(±) expression vectors (Invitrogen).

Transient Transfection and Cell Membrane Preparation-- tsA201 cells (30), derivatives of the human embryonic kidney (HEK-293) cell line, were maintained in Dulbecco's modified Eagle's medium supplemented with 10% (v/v) fetal bovine serum (Life Technologies, Inc.) or Fetal Clone III (HyClone) and 100 units/ml penicillin-streptomycin solution. Transient transfection was carried out using the calcium phosphate method as described in Ref. 31 and as modified in Ref. 32. Cultures were grown to 70% confluency and transfected with 10 µg each of the alpha 1, beta 2, and gamma 2 GABAA receptor cDNA constructs. The cDNA constructs were mixed in 250 mM CaCl2 solution before an equal volume of BES buffer (pH 7.02) was slowly added. The solutions were mixed well and allowed to stand (22 °C) for 15 min before dropwise addition to the cells that had been fed fresh medium. Cells were maintained in a 3% CO2 incubator for 48 h prior to harvesting. Cell membranes were prepared as described (32).

Equilibrium Binding Assays-- [3H]Ro15-4513 (23.06 Ci/mmol, NEN Life Science Products) binding measurements were carried out using a Hoefer manual filtration apparatus as described (32). In brief, aliquots (200 µl) of cell membranes were incubated with various concentrations (0-70 nM) of [3H]Ro15-4513 at 4 °C for 60 min. Nonspecific binding was determined in the presence of 100 µM diazepam (0.07% (v/v) Me2SO final). [3H]Muscimol (20.0 Ci/mmol, NEN Life Science Products) binding was performed using a Biologic® rapid filtration system (33) and carried out according to the method as described previously (4). Use of this system, in which the filter washing step was reduced to 0.5 s, permits better resolution of the lower affinity (faster dissociating) binding sites (see Ref. 4). Nonspecific binding was determined in the presence of 300 µM muscimol. Data for [3H]muscimol saturation were fit to a two-site saturation model and compared with a one-site hyperbola using GraphPad Software. All KD values reported were obtained from nonlinear regression analysis using saturation data. Representative Scatchard plots are included for display only (e.g. Figs. 3 and 4). For competition experiments, [3H]muscimol (10-40 nM) was incubated with a 200-µl aliquot of cell membranes and various concentrations of unlabeled GABA (0.1 nM to 1 mM), muscimol (0.1 nM to 100 µM), or bicuculline methochloride (1 nM to 1 mM) for 60-90 min at 4 °C. Nonspecific binding was determined in the presence of 100 µM GABA or muscimol. Experiments to measure the potentiation of [3H]flunitrazepam (FNZ) binding were also conducted using the rapid filtration system. [3H]FNZ (84.5 Ci/mmol, NEN Life Science Products) was incubated with cell membranes and various concentrations of unlabeled GABA (0.01-100 µM) for 90 min at 4 °C.

Expression in Oocytes and Two-electrode Voltage Clamp Analysis-- Oocytes from Xenopus laevis were prepared as described (34). GABAA receptor containing alpha 1, beta 2 (or mutant beta 2), and gamma 2L subunits was expressed by injection of 50 nl (50 ng) of cRNA (35) into oocytes at ratios of 1:1:1. The oocytes were maintained in Barth's solution: 88 mM NaCl, 1 mM KCl, 0.5 mM CaCl2, 0.5 mM Ca(NO3)2, 1 mM MgSO4, 2.4 mM NaHCO3, 15 mM HEPES, pH 7.4, for 2-7 days and used for electrophysiological recordings. Oocytes under two-electrode voltage clamp (Vhold = -60 mV) were perfused continuously (at a flow rate of ~5 ml/min) with frog Ringer's solution: 120 mM NaCl, 5 mM HEPES, 2 mM KCl, 1.8 mM CaCl2. GABA (Sigma) or muscimol (Sigma) was dissolved in frog Ringer's, and standard two-electrode voltage clamp procedures were carried out using a GeneClamp 500 amplifier (Axon Intruments Inc.). To measure the sensitivity to agonists, GABA (0.001-1 mM) or muscimol (0.0001-1 mM) was applied via the perfusion system with a 3-15-min wash out period between applications to ensure full recovery from desensitization. Agonist-activated chloride currents were recorded using pClamp 6 software (Axon Instruments Inc.). Electrodes were filled with 3 M KCl and had resistances of 0.5-2.0 MOmega in frog Ringer's.

Data and Statistical Analyses-- Saturation, competition, and concentration-response curves for both radioligand binding and electrophysiological experiments were analyzed by nonlinear regression techniques using GraphPad Prism Software (www.graphpad.com). KI values from competition experiments were calculated from the IC50 values using the Cheng-Prussof correction (36). All data were statistically analyzed using a one-way analysis of variance (ANOVA) followed by a post hoc Dunnett's test to compare mutant and wild-type receptors.

    RESULTS
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES

Equilibrium Binding Assays-- The binding of [3H]Ro15-4513 to wild-type and mutant receptors (Fig. 2) was measured to ensure that the observed effects of the beta 2 subunit mutations were specific for the high affinity muscimol/GABA site and that the amino acid substitutions had not compromised the overall structure of the recombinant GABAAR. In all mutant receptors, [3H]Ro15-4513 recognizes a single class of high affinity benzodiazepine sites with KD values that are not significantly different from control values.


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Fig. 2.   Saturation curves for [3H]Ro15-4513. Data represent the mean ± S.E. of four independent experiments performed in duplicate. The KD values (nM) for WT (black-diamond , 6.8 ± 0.8), Y62F (, 8.1 ± 0.7), Y62S (open circle , 4.9 ± 0.9), Y74F (black-square, 5.2 ± 1.0), and Y74S (, 3.9 ± 0.2) were not significantly different.

Cells transfected with cDNA constructs encoding the wild-type alpha 1, beta 2, and gamma 2L subunits revealed a heterogeneity in equilibrium [3H]muscimol binding, which is consistent with the presence of two classes of independent sites for this ligand (Fig. 3A). The KD values for [3H]muscimol in receptors containing mutations at position 74 were not significantly different from controls (Table I and Fig. 3, B and C). In each case, a two-site binding model provided a statistically better fit than a one-site model with p values for these comparisons ranging from p < 0.05 to p < 0.005 (data not shown). In contrast, the binding data for receptors carrying Y62F and Y62S are adequately described by a one-site binding isotherm, with no evidence for two classes of sites. For the Y62F mutant, a single class of sites was observed with a KD of 57.4 ± 11.1 nM (Fig. 4), which is significantly (p < 0.01) increased compared with the WT high affinity control (8.9 ± 0.5 nM). The intermediate affinity (as shown by the linear Scatchard plot, Fig. 4) does not permit resolution of high affinity sites and any low affinity sites that may be present (see the legend to Fig. 4). However, as described below, this mutant retained allosteric coupling between the low affinity GABA sites and the benzodiazepine site. No specific high affinity binding was measurable in the Y62S mutant but low affinity binding was retained (Table I and Fig. 4). This may be explained by a complete loss of high affinity sites as a consequence of the mutation. However, we cannot exclude the possibility that the sites remain present but that their affinity is reduced to an extent that they cannot be distinguished from the low affinity component. In this respect, it should be noted that technical restraints preclude an accurate determination of the number of low affinity sites in different preparations. Furthermore, KD values obtained for low affinity binding are subject to large error, because the maximum concentration of [3H]muscimol that can reasonably be used in these experiments is about 500 nM (see Ref. 4) beyond which the measure of nonspecific binding exceeds that of specific binding (2, 37).


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Fig. 3.   Equilibrium binding data for [3H]muscimol. Shown are representative saturation curves for each mutant (in the concentration range of 0-150 nM) and representative Scatchard plots to illustrate the shape of the curves. Data were fit by nonlinear regression using GraphPad Prism Software. A, WT (black-diamond ); B, Y74F (black-square); C, Y74S (). The shallow nature of the saturation curves and the curvilinear Scatchard plots are indicative of two classes of binding sites. KD values for muscimol saturation are summarized in Table II.

                              
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Table I
The effects of amino acid substitutions in the beta 2 subunit of alpha 1beta 2gamma 2 recombinant GABAA receptors on high (H) and low (L) affinity [3H]muscimol binding
Data represent the mean ± S.E. of two to three independent experiments performed in duplicate using a Biologic® rapid filtration system. n represents the number of independent experiments. Curves were fit by nonlinear regression to one-site and two-site binding models using GraphPad Prism software. KD values were compared using a one-way ANOVA followed by a Dunnett's test to determine the levels of significance (**, p < 0.01; #, p < 0.01 when compared to KD(H), but not KD(L)). No significant difference was observed for the KD values of low affinity sites.


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Fig. 4.   Equilibrium data for [3H]muscimol binding to Y62F () and Y62S (open circle ) mutant receptors. Shown are representative saturation curves (in the 0-150 nM concentration range) and representative Scatchard plots. The binding of [3H]muscimol to receptors expressing these mutants was described by a one-site binding isotherm. For the purposes of illustration, a theoretical curve describing two classes of sites (KD(H) = 54.5 nM and KD(L) = 400 nM) of equivalent receptor density is shown by the dashed line for Y62F. Note that the two-site model did not describe the data better than a one-site model (KD = 50.8 nM) within the limits of error of curve fitting by nonlinear regression. The KD values for muscimol saturation are summarized in Table II.

The effects of the Y62F mutation on the high affinity binding sites were further confirmed by carrying out competition experiments with unlabeled GABA, muscimol, and bicuculline methochloride. These experiments were designed to avoid significant occupancy of low affinity sites ([3H]muscimol <=  40 nM), thereby allowing examination of the high affinity sites without complications from the second class of sites. These experiments were not possible with the Y62S mutant, which lacked measurable binding in the high nanomolar range. The Y62F mutation resulted in a 2.8- and 2.6-fold decrease in affinity for muscimol and GABA, respectively (Table II). The KI value for muscimol-induced displacement of [3H]muscimol from the Y62F receptor is in excellent agreement with the directly measured KD(H) value (Table I), confirming that the mutation significantly reduced the affinity of these binding sites. Two classes of sites for bicuculline methochloride were measured in muscimol displacement experiments using the WT and Y62F receptors, but only one class of sites was seen in the Y74F and Y74S mutants (Table II). This apparent heterogeneity suggests a nonequivalence in bicuculline binding and that Tyr-74 of the beta  subunit may play a role in this. However, this observation has not been further explored.

                              
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Table II
The effects of amino acid substitutions in the beta 2 subunit of alpha 1beta 2gamma 2 recombinant GABAA receptors on the displacement of [3H]muscimol by a number of GABAAR ligands
Data represent the mean KI ± S.E. of three to four independent experiments performed in duplicate. Competition experiments were not carried out for Y62S as no specific high affinity binding was observed (Table 1 and Fig. 4). The number of independent experiments is shown in parentheses. log KI values were analyzed using a one-way ANOVA followed by a Dunnett's test to determine the levels of significance (*, p < 0.05). N.D. represents no detectable bicuculline displacement. KI(H) and KI(L) represent high and low affinity bicuculline sites.

It has been established that agonist occupancy of their low affinity sites allosterically modulates the binding of benzodiazepine site ligands (38). The ability of GABA to potentiate [3H]FNZ binding therefore provides an independent measurement of the presence of these sites and of the integrity of coupling properties. Micromolar concentrations of GABA significantly potentiated 2 nM [3H]FNZ binding in all mutants (Table III), and neither the Emax nor EC50 value for any recombinant receptor was significantly different from the control values (Table III). Fig. 5 shows the potentiation of [3H]FNZ binding by GABA in the wild-type receptor (Fig. 5A) and in the Y62F (Fig. 5B) and Y62S (Fig. 5C) mutants. These data indicate that the beta  subunit mutations do not compromise low affinity agonist binding, and this provides further evidence for the presence of distinct high and low affinity binding domains in these receptors.

                              
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Table III
Potentiation of [3H]FNZ (2 nM) binding by GABA
Data represent the mean ± S.E. of four to five independent experiments (n) performed in duplicate. Emax values and log EC50 values were analyzed using a one-way ANOVA followed by a Dunnett's test. No significant differences were observed for maximum potentiation or EC50 values.


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Fig. 5.   Concentration-response curve for potentiation of 2 nM [3H]flunitrazepam binding to alpha 1beta 2gamma 2 receptors. A, WT (black-diamond ); B, Y62F (); C, Y62S (open circle ). The data represent the mean ± S.E. of four to five experiments performed in duplicate for multiple concentrations of GABA. The maximum potentiation and the EC50 values of Y62F () and Y62S (open circle ) are not significantly different from controls. Data for WT and mutant receptors are summarized in Table III.

Two-electrode Voltage Clamp Analysis-- The functional effects of all mutations were investigated using two-electrode voltage clamp analysis of receptors expressed in Xenopus oocytes. Concentration-response data for GABA and muscimol are presented in Table IV and Fig. 6. For all receptors, muscimol was, as expected, more potent than GABA in receptor activation (11). The changes observed in potency paralleled the changes seen in binding affinity. Neither of the Tyr-74 mutations affected the concentration dependence of either agonist. However, significant rightward shifts in activation were observed in both Tyr-62 mutants, with the phenylalanine substitution producing a 2-fold shift in EC50 values for GABA and muscimol and serine giving a more pronounced rightward shift (~6-fold). The Hill slopes (nH) are not significantly different from the wild-type, with the exception of Y74F, in which the value is significantly decreased for GABA. The significance of this change in nH is difficult to interpret because the Hill slope is a function of both ligand binding and channel gating (11). However, it is possible that this amino acid substitution shifted the conformation of the receptor such that the observed cooperativity for GABA activation of the channel is lost, the implication of which may be that these putative high affinity agonist binding sites are coupled, in some fashion, to other GABA binding domains that are essential for gating.

                              
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Table IV
Concentration-response data for GABA and muscimol activation of wild type and mutant receptors expressed in Xenopus oocytes
Data represent the mean EC50 ± S.E. of three to five independent experiments performed in duplicate. Values for EC50 and Hill slope (nH) were determined from concentration-response data using Graph Pad Prism Software. The number of independent experiments is shown in parentheses. Hill slope values and log EC50 values were analyzed using a one-way ANOVA followed by a Dunnett's test to determine the levels of significance (**, p < 0.01).


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Fig. 6.   Concentration dependence of agonist activated Cl- conductances for WT (black-diamond ), Y62F (), and Y62S (open circle ) receptors expressed in Xenopus oocytes shows responses to GABA (A) and muscimol (B). The data represent the mean ± S.E. of at least three independent experiments performed in duplicate. Data were analyzed using one-way ANOVA followed by the Dunnett's test to determine levels of significance. The shift in EC50 for Y62F containing mutants is ~2-fold for GABA and muscimol. The rightward shifts (~6-fold) are more pronounced for Y62S mutants. Data for all mutants are presented in Table IV.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES

The elucidation of the mechanisms underlying GABAAR function is important for the understanding of inhibitory synaptic transmission in the central nervous system. The aim of the present study was to identify residues within a specific domain of the beta 2 subunit of the GABAAR that contribute to high affinity muscimol binding and to define, in part, potential roles of this site in receptor function. Although the subunit stoichiometry of native receptors is unknown, most recent evidence indicates that the recombinant alpha 1beta 2gamma 2 GABAAR contains 2alpha , 2beta , and 1gamma subunits (39, 40, 41). One likely arrangement of these subunits within the pentamer has been suggested to be alpha -beta -alpha -gamma -beta (40, 42). This arrangement (see Fig. 1A) provides one alpha -gamma interface where the benzodiazepine site is thought to be located and two beta -alpha interfaces, each of which may carry a low affinity agonist site (11, 12). The presence of two low affinity sites would be consistent with a Hill coefficient of ~2 for channel activation (43). This leaves two additional interfaces (alpha -beta and gamma -beta ), which could potentially form high affinity muscimol/GABA sites. According to the popular loop model (see Introduction), loop D contributing to these sites would be found in the N-terminal domain of the beta 2 subunit. Previous work has shown that residues within this domain of the gamma  and alpha  subunits are determinants of benzodiazepine (17) and low affinity GABA (10, 12) binding, respectively. This provided the rationale for targeting homologous residues in the beta 2 subunit (Tyr-62 and Tyr-74) to investigate their role in high affinity muscimol binding.

The major finding reported here is that Tyr-62 of the beta 2 subunit is a determinant of high affinity agonist binding. Its substitution by phenylalanine reduced the affinity for both muscimol and GABA (6-fold), whereas its substitution by serine resulted in a dramatic reduction in affinity (>30-fold) such that no high affinity binding was measurable in this mutant. However, receptors containing the Y62S mutation were still functional, albeit with an increased EC50 for channel activation by about 6-fold. Thus high affinity agonist binding does not appear to be obligatory for receptor activation.

In a previous study, Sigel et al. (12) also mutated residue Tyr-62 of the beta 2 subunit. Although these authors did not investigate receptor binding properties, they found that the Y62L mutation reduced the maximum current elicited by GABA by ~5-fold, leading to the conclusion that the mutation had disrupted receptor assembly. In the present study, we did not observe any reduction of the maximum current as a result of either phenylalanine or serine substitution at this position, suggesting that there were no major effects on receptor synthesis and expression.

There is no general consensus as to the number of agonist binding sites on a single GABAAR (44). There is, however, abundant evidence for the presence of high affinity sites in addition to one or more classes of sites having lower affinity (see Refs. 1 and 6). Previous studies have demonstrated that there are approximately twice as many high affinity sites for muscimol as for flunitrazepam (45), suggesting that there are two high affinity sites/receptor. As described above, we predict that these sites are located at the alpha -beta and gamma -beta interfaces, which by their nature are nonequivalent. Although we have detected no heterogeneity in high affinity [3H]muscimol binding, the bicuculline displacement experiments (Table II) suggest that in the wild type receptor, this antagonist may discriminate between the two putative high affinity agonist sites. Although the Y62F mutation caused a significant decrease in affinity for the agonist, bicuculline binding was apparently unaltered. This result is in agreement with the previous observation that the Y62L mutation did not affect the IC50 values for functional antagonism of GABA-mediated chloride conductance by bicuculline (12). Conversely, neither of the Tyr-74 mutations reported here affected agonist binding, but they did alter the characteristics of [3H]muscimol displacement by bicuculline. These observations suggest that although muscimol and bicuculline compete for the same binding sites, different subsets of amino acids may be involved in the recognition of the different ligands. Alternatively, the Tyr-74 mutations may have produced changes in the conformation of the receptor, which indirectly affect the binding of bicuculline. Further complexity arises from the apparent preference of bicuculline for binding to the low affinity agonist sites (46-49). Further studies to explore this novel observation will be required to identify the specific residues with which bicuculline interacts.

The presence of multiple agonist binding sites in the GABAA receptor raises the question of their roles in receptor function. Discrepancies between the concentrations of agonists that are required to activate the receptor and agonist affinities that are measured in equilibrium binding assays are generally thought to reflect differences in receptor conformation (i.e. between the activated and desensitized states). In this and many other studies (11-13) it has been found that micromolar concentrations of GABA and muscimol are required to open the ion channel (Fig. 6), suggesting that the sites involved in channel activation are of intrinsically low affinity, indeed lower than can be measured in direct equilibrium binding studies. In recent functional studies, we have found that the concentrations of GABA and muscimol that induce receptor desensitization are in good agreement with the lower affinity binding component measured directly.2 The role of the high affinity sites, however, is less clear.

The Tyr-62 mutations disrupted high affinity agonist binding and also increased the EC50 values for channel activation. It is likely, therefore, that the high affinity binding sites may play a role in the efficiency of channel activation. The EC50 value is a macroscopic constant that depends on several microscopic processes, including ligand binding and channel gating (50). It is, therefore, difficult to discriminate among the various contributing factors on the basis of concentration-response curves alone. This is particularly true when complications arising from multiple classes of agonist sites are introduced. One possibility is that the high affinity sites are allosterically coupled to other domains intimately involved in channel activation and that their occupancy at low concentrations of agonists increases the affinity of the latter sites to enhance the efficiency of synaptic transmission. It has been theorized that two nonequivalent sites, in nAChR, provide an ideal kinetic mechanism to enhance and potentially accelerate receptor activation, which may satisfy physiological requirements for rapid activation and termination of response (51).

In the present study, substitution of the tyrosine residue at position 62 by serine had a more dramatic effect than the phenylalanine substitution. Although we have not made multiple amino acid substitutions at this position, the aromaticity of the residue in this position appears to be particularly important in agonist binding. As has been previously reported for agonist binding to the nicotinic acetylcholine receptor (52) and for benzodiazepine binding to the GABAAR (32), aromatic residues may be involved in a pi -pi stacking interaction with the ligand.

Detailed analyses of structure-function relationships without knowledge of the crystal structure of the protein should be interpreted with caution (53). As with all site-directed mutagenesis studies, the major limitation of the present study is that we cannot state with any degree of certainty that implicated residues are directly or indirectly involved in ligand binding. However, the mutations do appear to be specific for the high affinity agonist site and this study provides the first evidence for the structural basis of high affinity binding that has been noted for more than 20 years.

In conclusion, we have identified residue Tyr-62 of the beta 2 subunit as a determinant of high affinity [3H]muscimol binding in the recombinant alpha 1beta 2gamma 2 GABAAR. Further, we have shown that the reduction in affinity of high affinity binding site(s) does not have a large effect on receptor activation (54). It has previously been suggested that the nicotinic acetylcholine receptor carries sites of low and high affinity, and although the former are involved in channel activation, the latter may be important in mediating receptor desensitization (55). By analogy to the nAChR, the high affinity site(s) of GABAAR may fulfill the same role. Other investigators have likewise suggested that two molecules of GABA are required for activation, and two independent molecules of neurotransmitter are required for desensitization (56). Experiments to examine the consequences of the above mutations on the desensitization of GABAAR are currently in progress.

    ACKNOWLEDGEMENTS

The rat alpha 1, beta 2, and gamma 2L cDNA clones were generous gifts from Dr. David Weiss. We thank Eugene Chomey for his excellent preparation of Xenopus oocytes.

    FOOTNOTES

* This work was supported by the Medical Research Council of Canada and the Alberta Heritage Foundation Medical Research.The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

§ Holds a Postgraduate Scholarship from the Natural Sciences and Engineering Research Council of Canada and an award from the Neuroscience Canada Foundation.

** An Alberta Heritage Foundation Medical Research Scholar.

§§ Held a Medical Research Council Scientist award. To whom correspondence and reprint requests should be addressed. Tel.: 780-492-3414; Fax: 780-492-4325; E-mail: susan.dunn@ualberta.ca.

2 J. G. Newell and S. M. J. Dunn, unpublished observations.

    ABBREVIATIONS

The abbreviations used are: GABA, gamma -aminobutyric acid; nAChR, nicotinic acetylcholine receptor; BES, N,N-bis(2-hydroxyethyl)-2-aminoethanesulfonic acid; FNZ, flunitrazepam; WT, wild type; ANOVA, analysis of variance.

    REFERENCES
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES

1. Dunn, S. M. J., Bateson, A. N., and Martin, I. L. (1994) in International Review of Neurobiology (Bradley, R. C. , and Harris, R. A., eds), Vol. 35 , pp. 51-96, Academic Press, San Diego, CA
2. Olsen, R. W., Bergman, M. O., Van Ness, P. C., Lummis, S. C., Watkins, A. E., Napias, C., and Greenlee, D. V. (1981) Mol. Pharmacol. 19, 217-227[Abstract/Free Full Text]
3. Olsen, R. W., Yang, J., King, R. G., Dilber, A., Stauber, G., and Ransom, R. W. (1986) Life Sci. 39, 1969-1976[CrossRef][Medline] [Order article via Infotrieve]
4. Agey, M. W., and Dunn, S. M. J. (1989) Biochemistry 28, 4200-4208[CrossRef][Medline] [Order article via Infotrieve]
5. Davies, M., Steele, J., Hadingham, K. L., Whiting, P. J., and Dunn, S. M. J. (1994) Can. J. Physiol. Pharmacol. 72, 337
6. Sieghart, W. (1995) Pharmacol. Rev. 47, 181-233[Medline] [Order article via Infotrieve]
7. Nayeem, N., Green, T. P., Martin, I. L., and Barnard, E. A. (1994) J. Neurochem. 62, 815-818[Medline] [Order article via Infotrieve]
8. Changeux, J.-P., and Edelstein, S. J. (1998) Neuron 21, 959-980[CrossRef][Medline] [Order article via Infotrieve]
9. Pedersen, S. E., and Cohen, J. B. (1990) Proc. Natl. Acad. Sci. U. S. A. 87, 2785-2789[Abstract/Free Full Text]
10. Smith, G. B., and Olsen, R. W. (1994) J. Biol. Chem. 269, 20380-20387[Abstract/Free Full Text]
11. Amin, J., and Weiss, D. S. (1993) Nature 366, 565-569[CrossRef][Medline] [Order article via Infotrieve]
12. Sigel, E., Baur, R., Kellenberger, S., and Malherbe, P. (1992) EMBO J. 11, 2017-2023[Medline] [Order article via Infotrieve]
13. Boileau, A. J., Evers, A. R., Davis, A. F., and Czajkowski, C. (1999) J. Neurosci. 19, 4847-4854[Abstract/Free Full Text]
14. Duncalfe, L. L., Carpenter, M. R., Smillie, L. B., Martin, I. L., and Dunn, S. M. J. (1996) J. Biol. Chem. 271, 9209-9214[Abstract/Free Full Text]
15. Wieland, H. A., Luddens, H., and Seeburg, P. H. (1992) J. Biol. Chem. 267, 1426-1429[Abstract/Free Full Text]
16. Davies, M., Martin, I. L., Bateson, A. N., Hadingham, K. L., Whiting, P. J., and Dunn, S. M. J. (1996) Neuropharmacology 35, 1199-1208[CrossRef][Medline] [Order article via Infotrieve]
17. Buhr, A., Baur, R., Malherbe, P., and Sigel, E. (1996) Mol. Pharmacol. 49, 1080-1084[Abstract]
18. Buhr, A., Schaerer, M. T., and Sigel, E. (1997) Mol. Pharmacol. 52, 676-686[Abstract/Free Full Text]
19. Amin, J., Brooks-Kayal, A., and Weiss, D. S. (1997) Mol. Pharmacol. 51, 833-841[Abstract/Free Full Text]
20. Smith, G. B., and Olsen, R. W. (1995) Trends Pharmacol. Sci. 16, 162-168[CrossRef][Medline] [Order article via Infotrieve]
21. Deng, L., Ransom, R. W., and Olsen, R. W. (1986) Biochem. Biophys. Res. Comm. 138, 1308-1314[CrossRef][Medline] [Order article via Infotrieve]
22. Casalotti, S. O., Stephenson, F. A., and Barnard, E. A. (1986) J. Biol. Chem. 261, 15013-15016[Abstract/Free Full Text]
23. Bureau, M., and Olsen, R. W. (1988) Biochem. Biophys. Res. Comm. 153, 1006-1011[CrossRef][Medline] [Order article via Infotrieve]
24. Zezula, J., Slany, A., and Sieghart, W. (1996) Eur. J. Pharmacol. 301, 207-214[CrossRef][Medline] [Order article via Infotrieve]
25. Pregenzer, J. F., Im, W. B., Carter, D. B., and Thomsen, D. R. (1993) Mol. Pharmacol. 43, 801-806[Abstract]
26. Im, W. B., Pregenzer, J. F., Binder, J. A., Dillon, G. H., and Alberts, G. L. (1995) J. Biol. Chem. 270, 26063-26066[Abstract/Free Full Text]
27. Newell, J. G., Davies, M., and Bateson, A. N. (2000) Mol. Biotech., in press
28. Nielsen, H., Engelbrecht, J., Burnak, S., and von Heijne, G. (1997) Protein Eng. 10, 1-6[Abstract/Free Full Text]
29. Tanay, V. A.-M. I., Tancowny, B. P., Glencorse, T. A., and Bateson, A. N. (1997) Mol. Biotech. 7, 217-229[Medline] [Order article via Infotrieve]
30. DuBridge, R. P., Tang, P., Hsia, H. C., Leong, P.-M., Miller, J. H., and Calos, M. P. (1987) Mol. Cell. Biol. 7, 379-387[Abstract/Free Full Text]
31. Chen, C. A., and Okayama, H. (1987) Mol. Cell. Biol. 7, 2745-2742[Abstract/Free Full Text]
32. Davies, M., Bateson, A. N., and Dunn, S. M. J. (1998) J. Neurochem. 70, 2188-2194[Medline] [Order article via Infotrieve]
33. Dupont, Y. (1984) Anal. Biochem. 142, 504-510[CrossRef][Medline] [Order article via Infotrieve]
34. Goldin, A. (1992) Methods Enzymol. 207, 266-279[Medline] [Order article via Infotrieve]
35. Goldin, A., and Sumikawa, K. (1992) Methods Enzymol. 207, 279-297[Medline] [Order article via Infotrieve]
36. Cheng, Y.-C., and Prussof, W. H. (1973) Biochem. Pharmacol. 22, 3099-3108[CrossRef][Medline] [Order article via Infotrieve]
37. Shank, R. P., Baldy, W. J., Mattucci, L. C., and Villani, F. J., Jr. (1990) J. Neurochem. 54, 2007-2015[CrossRef][Medline] [Order article via Infotrieve]
38. Tallman, J. F., Thomas, J. W., and Gallager, D. W. (1978) Nature 264, 383-385
39. Farrar, S. J., Whiting, P. J., Bonnert, T. P., and McKernan, R. M. (1999) J. Biol. Chem. 274, 10100-10104[Abstract/Free Full Text]
40. Tretter, V., Ehya, N., Fuchs, K., and Sieghart, W. (1997) J. Neurosci. 17, 2728-2737[Abstract/Free Full Text]
41. Chang, Y., Wang, R., Barot, S., and Weiss, D. S. (1996) J. Neurosci 16, 5415-5424[Abstract/Free Full Text]
42. Sigel, E., and Buhr, A. (1997) Trends Pharmacol. Sci. 18, 425-429[Medline] [Order article via Infotrieve]
43. Macdonald, R. L., and Olsen, R. W. (1994) Annu. Rev. Neurosci. 17, 569-602[Medline] [Order article via Infotrieve]
44. Hevers, W., and Lüddens, H. (1998) Mol. Neurobiol. 18, 35-86[Medline] [Order article via Infotrieve]
45. Sigel, E., and Barnard, E. A. (1984) J. Biol. Chem. 259, 7219-7223[Abstract/Free Full Text]
46. Möhler, H, and Okada, T. (1978) Mol. Pharmacol. 14, 256-265[Abstract/Free Full Text]
47. Enna, S. J., and Snyder, S. H. (1977) Mol. Pharmacol. 13, 442-453[Abstract/Free Full Text]
48. Olsen, R. W., and Snowman, A. M. (1983) J. Neurochem. 41, 1653-1663[CrossRef][Medline] [Order article via Infotrieve]
49. Maksay, G. (1994) Mol. Pharmacol. 46, 386-390[Abstract]
50. Colquhoun, D. (1998) Br. J. Pharmacol. 125, 924-947[Medline] [Order article via Infotrieve]
51. Jackson, M. B. (1989) Proc. Natl. Acad. Sci. U. S. A. 86, 2199-2203[Abstract/Free Full Text]
52. Dougherty, D. A., and Stauffer, D. A. (1990) Science 250, 1558-1560[Abstract/Free Full Text]
53. Ward, W. H. J., Timms, D., and Fresht, A. R. (1990) Trends Pharmacol. Sci. 11, 280-284[CrossRef][Medline] [Order article via Infotrieve]
54. Im, W. B., Pregenzer, J. P., Binder, J. A., Alberts, G. L., and Im, H. K. (1997) Br. J. Pharmacol. 120, 559-564[CrossRef][Medline] [Order article via Infotrieve]
55. Dunn, S. M. J., Conti-Tronconi, B. M., and Raftery, M. A. (1983) Biochemistry 22, 2512-2518[CrossRef][Medline] [Order article via Infotrieve]
56. Cash, D. J., and Subbarao, K. (1987) Biochemistry 26, 7526-7270
57. Yan, D., Schulte, M. K., Bloom, K. E., and White, M. M. (1999) J. Biol. Chem. 274, 5537-5541[Abstract/Free Full Text]


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