Originally published In Press as doi:10.1074/jbc.M111778200 on March 14, 2002
J. Biol. Chem., Vol. 277, Issue 21, 18785-18792, May 24, 2002
Different Residues in the GABAA Receptor
1T60-
1K70 Region Mediate GABA and
SR-95531 Actions*
Jessica H.
Holden and
Cynthia
Czajkowski
From the Department of Physiology and Molecular and Cellular
Pharmacology Program, University of Wisconsin,
Madison, Wisconsin 53706
Received for publication, December 10, 2001, and in revised form, March 13, 2002
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ABSTRACT |
Although
-aminobutyric acid type A receptor
agonists and antagonists bind to a common site, they produce different
conformational changes within the site because agonists cause channel
opening and antagonists do not. We used the substituted cysteine
accessibility method and two-electrode voltage clamping to identify
residues within the binding pocket that are important for mediating
these different actions. Each residue from
1T60 to
1K70 was mutated to cysteine and expressed with
wild-type
2 subunits in Xenopus oocytes.
Methanethiosulfonate reagents reacted with
1T60C,
1D62C,
1F64C,
1R66C,
1S68C, and
1K70C.
-Aminobutyric acid
(GABA) slowed methanethiosulfonate modification of
1F64C,
1R66C, and
1S68C,
whereas SR-95531 slowed modification of
1D62C,
1F64C, and
1R66C, demonstrating that
different residues are important for mediating GABA and SR-95531
actions. In addition, methanethiosulfonate reaction rates were fastest
for
1F64C and
1R66C, indicating that
these residues are located in an open, aqueous environment lining the
core of the binding pocket. Positively charged methanethiosulfonate reagents derivatized
1F64C and
1R66C significantly faster than a negatively
charged reagent, suggesting that a negative subsite important for
interacting with the ammonium group of GABA exists within the binding
pocket. Pentobarbital activation of the receptor increased the rate of
methanethiosulfonate modification of
1D62C and
1S68C, demonstrating that parts of the binding site
undergo structural rearrangements during channel gating.
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INTRODUCTION |
Few studies of ligand-gated ion channels
(LGICs)1 have addressed the
question of how the binding of compounds with divergent structure leads
to dramatic functional differences. For example, agonist binding
induces conformational changes that result in channel opening, whereas
binding of competitive antagonists does not. Distinguishing the
specific amino acid residues involved in the binding of agonists and
antagonists will help to elucidate the structural rearrangements that
govern the pharmacological effects of these compounds. In this paper,
we examined the molecular determinants important for the binding of the
agonist GABA and the competitive antagonist SR-95531 to the
-aminobutyric acid type A (GABAA), receptor and explored
the conformational changes that occur within the GABA-binding site
during channel activation by a barbiturate.
GABAA receptors are heteropentameric chloride channels that
mediate fast synaptic inhibition in the brain and are members of an
evolutionarily related superfamily of LGICs that also includes nicotinic acetylcholine, glycine, and serotonin-type 3 receptors (1). To date, 16 different GABAA receptor subunit isoforms (
1-6,
1-3,
1-3,
,
,
, and
) have been cloned (2-7). Most native receptors are
thought to contain
,
, and
subunits (8) in a 2:2:1
stoichiometry (9), although functional channels that lack
benzodiazepine modulation can be formed without the
subunit (10,
11).
The neurotransmitter recognition site, where agonists such as GABA and
muscimol and antagonists such as SR-95531 and bicuculline bind, is
located at the interface between the
and
subunits because
residues have been identified on both subunits that are important for
ligand recognition. On the
1 subunit, residues identified include Phe64 (12, 13),
Arg66, Ser68 (14), Arg119, and
Ile120 (15, 16). On the
2 subunit, residues
Tyr157, Thr160 (17), Thr202,
Ser204, Tyr205, Arg207, and
Ser209 (17, 18) have been identified. Based on work on the
related nicotinic acetylcholine receptor, residues that contribute to forming the binding site are located in at least six different non-contiguous extracellular N-terminal regions of the
and
subunits. These regions have been designated loops A-F (19). Residues
within these loops likely have different functional roles. Some
residues may directly contact ligand, some may be important for
maintaining the structural integrity of the binding site, and others
may mediate local conformational movements within the site.
In the present study, we examined the binding site region surrounding
1F64 (loop D) of the GABAA receptor. In the
homologous region of the serotonin-type 3 receptor, White and
colleagues (20) used alanine-scanning mutagenesis and determined that
different amino acid residues contribute to the binding of agonists and antagonists. We hypothesized that the region surrounding
1F64 of the GABA-binding site also contains unique
residues important for agonist and antagonist binding, and we tested
this hypothesis by using the substituted cysteine accessibility method
(SCAM).
SCAM has been used on a variety of ion channels to elucidate channel
lining and binding site residues, to determine the location of channel
gates and selectivity filters, and to identify regions of the protein
that are involved in conformational rearrangements during state changes
(21). In this method, individual amino acid residues are mutated to
cysteine, and the ability of sulfhydryl-specific reagents to modify
covalently each introduced cysteine is assessed by observing the effect
of the reagent on receptor function. We measured the rates of
sulfhydryl modification of accessible introduced cysteine residues in
the presence and absence of GABA and SR-95531. We identified a subsite
important for agonist binding that includes
1F64,
1R66, and
1S68 and an antagonist-binding
subsite that includes
1D62,
1F64, and
1R66. In addition, we used sulfhydryl-specific reagents
of different charge and determined that a negative subsite exists
within the binding pocket. Finally, we measured rates of sulfhydryl
modification in the presence of pentobarbital (a GABAA receptor modulator that opens the channel), and we identified conformational changes that occur within the GABA-binding site during
channel activation.
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EXPERIMENTAL PROCEDURES |
Site-directed Mutagenesis--
The
1 cysteine
mutants were engineered using the Altered Sites II® in
vitro Mutagenesis Systems (Promega Corp., Madison, WI) or by
recombinant PCR as described previously (14, 22). Cysteine
substitutions were made in the rat
1 subunit at
positions Tyr59, Thr60, Ile61,
Asp62, Val63, Phe64,
Phe65, Arg66, Gln67,
Ser68, Trp69, and Lys70, where the
number reflects the position in the mature
1 subunit protein. The cysteine mutants were subcloned into pGH19 (23, 24) for
expression in Xenopus laevis oocytes. The
presence of the mutations was verified by restriction endonuclease
digestion and double-strand cDNA sequencing. The mutants have been
named, using the single letter amino acid code, as wild-type residue, residue number, and mutated residue.
Expression in Oocytes--
X. laevis oocytes were
prepared as described previously (25). cRNA transcripts were generated
using the mMessage T7 kit (Ambion, Austin, TX).
GABAA receptor rat
1 or
1
mutants were expressed with wild-type rat
2 subunits by
injection of cRNA into oocytes (0.3 ng of cRNA/subunit/oocyte, except
for
1F64C
2 and
1R66C
2 that were injected at 7 ng of
cRNA/subunit to ensure high levels of receptor expression). Mean
maximal responses to GABA ranged from 1 to 10 µA. The oocytes were
stored in ND96 medium (in mM: 96 NaCl, 2 KCl, 1 MgCl2, 1.8 CaCl2, and 5 HEPES, pH 7.4) supplemented with 100 µg/ml gentamicin and 100 µg/ml bovine serum albumin for 2-14 days and used for electrophysiological recordings.
Voltage Clamp Analysis--
Oocytes under two-electrode voltage
clamp (Vhold of
80 mV) were continuously
perfused with ND96 at a rate of 5 ml/min. The bath volume was 200 µl.
GABA, SR-95531 (Sigma), pentobarbital (Research Biochemicals, Natick,
MA), and methanethiosulfonate (MTS) reagents (Toronto Research
Chemicals, Toronto, Ontario, Canada) were dissolved in ND96. Standard
two-electrode voltage clamp recording was carried out using a GeneClamp
500 amplifier (Axon Instruments, Foster City, CA) interfaced to a
computer with a Digidata 1200 (Axon Instruments). Electrodes were
filled with 3 M KCl and had resistances of 0.5-2.0
megaohms in ND96. Data acquisition and analysis were performed using
pClamp 6 (Axon Instruments).
Pulse Protocol for Measuring MTS Effects--
The
sulfhydryl-specific reagents used were derivatives of MTS obtained from
Toronto Research Chemicals (Toronto, Ontario, Canada). The reagents
used were 2-aminoethyl methanethiosulfonate (MTSEA),
2-(trimethylammonium)ethyl methanethiosulfonate (MTSET), and
2-sulfonatoethyl methanethiosulfonate (MTSES). All oocytes were
stabilized before addition of MTS reagent by application of GABA (5 s)
at 10-min intervals until the GABA-activated peak currents
(IGABA) varied by <10%. GABA concentrations
used were EC40-EC60 for each mutant. After the
GABA response stabilized, freshly diluted MTS reagent was applied for 2 min; the cell was washed for 5 min, and then GABA was applied at the
same concentration used before the MTS treatment. MTSEA (2 mM), MTSET (2 mM), or MTSES (5 mM)
were used. The effect of the MTS reagent was calculated as
(IGABA-post/IGABA-pre)
1, where IGABA-post is the current elicited
by GABA after MTS application, and IGABA-pre is
the current elicited by GABA before MTS application.
Rate of MTS Modification--
The rate of MTS reagent
covalent modification of introduced cysteines was determined by
measuring the outcome of sequential applications of MTS reagents on
IGABA. The protocol was as follows: EC20-EC60 GABA was applied for 5 s; the
cell was washed for 30 s; MTS reagent was applied for 5-20 s; the
cell was washed for 2.5 min; and the procedure was repeated until
IGABA no longer changed indicating that the
reaction was complete. Before the rate of MTS modification was
measured, GABA was applied every 3 min until
IGABA stabilized to within 3% demonstrating
that the observed changes in IGABA after
application of MTS reagent were due to the effects of the MTS reagent.
Concentration of MTS reagent and time of application varied as follows:
1D62C: MTSEA, 1 mM, 20 s;
1F64C: MTSES, 10 µM, 5 s; MTSET, 10 nM, 5 s; MTSEA, 100 nM, 5 s;
1R66C: MTSES, 500 µM, 20 s; MTSET, 1 µM, 5 s; MTSEA, 10 µM, 10 s;
1S68C: MTSES: 150 µM, 10 s; MTSET:
100 µM, 5 s; MTSEA: 100 µM, 5 s.
The effects of agonists and antagonists on the rate of MTS modification
were tested by co-applying GABA (EC85-EC95), SR-95531 (IC90-IC95), or pentobarbital (500 µM) with MTSES for all mutants except
1D62C, in which case they were co-applied with MTSEA.
For these studies, IGABA was stabilized before
the rate of MTS reaction was measured as follows: apply GABA
(EC20-60) for 5 s, wash for 30 s, apply GABA,
SR-95531, or pentobarbital at high concentration for 5-20 s, wash for
2.5 min, and repeat the procedure. This procedure was repeated until
the peak of the GABA (EC20-60) current was within 3% of
the previous GABA (EC20-60) current peak.
For all rate experiments, the decrease in current was plotted
versus cumulative time of MTS exposure. We assume that the
concentration of MTS reagent does not change significantly during the
reaction, and thus, we can determine a pseudo first-order rate
constant from the rate of decrease in IGABA.
Peak current at each time point was normalized to the initial peak
current, and a pseudo first-order rate constant
(k1) was determined by fitting the data with a
single exponential decay equation: y = span·e
kt + plateau. Because the data
are normalized to IGABA at time 0, span = 1
plateau. The second-order rate constant
(k2) for MTS reaction was determined by dividing
the calculated pseudo first-order rate constant by the concentration of
MTS reagent used (26). To verify the accuracy of this protocol,
second-order rate constants were determined using at least two
different concentrations of MTS reagents for several mutants.
EC50 Analysis--
Concentration-response
experiments were performed as described previously (14). In brief,
these trials used a low concentration of GABA
(EC2-EC7) immediately before the test
concentration of agonist to correct for any slow drift in GABA
responses that may occur during the experiment. Currents elicited by
each test concentration were normalized to the corresponding low
concentration current before curve fitting. Concentration-response data
were fit to the following equation: I = Imax/(1 + (EC50/[A])n), where I is
the peak response to a given concentration of GABA; Imax is the maximum amplitude of current;
EC50 is the concentration of GABA that produces a
half-maximal response; [A] is the concentration of GABA;
and n is the Hill coefficient.
IC50 Analysis--
IC50 values were
measured as described previously (18). SR-95531 IC50 values
were measured by applying a fixed concentration of GABA
(EC20-EC60) immediately followed by
co-application of the same concentration of GABA and a test
concentration of SR-95531. Inhibition was calculated as
IGABA + SR-95531/IGABA. Data were fit to the following equation: inhibition = 1
1/(1 + (IC50/[Ant])n), where IC50 is
the concentration of antagonist that blocks half of
IGABA; [Ant] is the concentration of
antagonist, and n is the Hill coefficient.
KI values were calculated using the Cheng-Prusoff/Chou equation (27, 28): KI = IC50/(1 + [A]/EC50), where
[A] is the concentration of GABA used, and EC50 is the concentration of GABA that elicits a
half-maximal response.
Statistical Analysis--
Data analysis was carried out using
nonlinear regression analysis included in the GraphPad Prism software
package (San Diego, CA; www.graphpad.com). Statistical analysis was
conducted using a one-way analysis of variance, followed by a
post hoc Dunnett's test.
Measurement of Length of MTS Reagents, GABA, and
SR-95531--
All compounds were measured after energy minimization
(<0.5 kcal/Å; Chemsketch, ADC, Toronto, Ontario, Canada). All MTS
regents were measured from the sulfur to the center of the base of the tetrahedron formed by the terminal tertiary group. GABA was measured from the nitrogen to the base of the tetrahedron formed by the carboxyl
group. SR-95531 was measured from the carbon of the methyl group to the
center of the base of tetrahedron formed by the carboxyl group.
Structural Modeling--
The mature protein sequences of the rat
1 and
2 subunits were homology modeled
with a subunit of the acetylcholine-binding protein (AChBP) (29). The
crystal structure of the AChBP was downloaded from the RCSB Protein
Data Bank (code 1I9B) and loaded into Swiss Protein Data bank Viewer
(SPDBV, ca.expasy.org/spdbv). The
1 protein sequence
from Thr12-Ile227 and the
2
protein sequence from Ser10-Leu218 were
aligned with the AChBP sequence using the alignment function of SPDBV.
The aligned sequences of the
1 and
2
subunits were threaded onto an AChBP subunit using the "Interactive
Magic Fit" function of SPDBV. The threaded subunits were imported
into SYBYL (Tripos, Inc., St. Louis, MO) where energy minimization was
carried out with the first 100 iterations carried out using Simplex
minimization followed by 10,000 iterations using the Powell method.
 |
RESULTS |
Modification of Cysteine Mutants by MTS Reagents--
We reported
previously that when mutated to cysteine, alternating residues from
1T60 to
1S68 are accessible to covalent modification by MTSEA-biotin, suggesting that this region of the GABA-binding site forms a
-strand (14). We also determined that the
presence of GABA inhibits the reaction of MTS compounds at
1F64C,
1R66C, and
1S68C,
indicating that these residues may face into the agonist-binding
pocket. In the present study, we used MTS reagents of different size
and charge to explore the physicochemical environment of this region of
the GABA-binding site. The MTS reagents used were MTSEA (3.7 Å long),
which covalently adds a positively charged ethyl-ammonium group, MTSET
(4.5 Å), which adds a positively charged ethyl-trimethylammonium
group, and MTSES (4.8 Å), which adds a negatively charged
ethyl-sulfonate group (Fig. 1).

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Fig. 1.
Effects of MTS reagents on wild-type and
mutant GABAA receptors. A, structures and
lengths of MTS reagents. Shown are the portions of the MTS reagents
that covalently modify an introduced cysteine. Lengths were measured
after energy minimization (<0.5 kcal/Å; Chemsketch, ADC, Toronto,
Ontario, Canada). B, amino acid residues
1T60- 1K70 were individually mutated to
cysteine and expressed with 2 subunits in
Xenopus oocytes. By using two-electrode voltage clamping,
the accessibility of the introduced cysteines to MTSEA, MTSET, and
MTSES was examined. The absolute change in GABA-mediated current after
MTS treatment is plotted for wild-type (WT) and mutant
receptors (percent effect = ( 1 (IGABA,
after/IGABA, before)) × 100 ). , percent
effect reflects inhibition of current for all mutants except T60C where
currents were increased after application of MTS reagents. *, cysteine
substitution was not tolerated at these positions.
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In order to determine the ability of the MTS reagents to react with
each introduced cysteine, mutant
1 and wild-type
2 subunits were co-expressed in Xenopus
oocytes, and IGABA (EC40-60) was
measured before and after a 2-min MTS application. Because the MTS
reagents did not affect the amplitude of IGABA
at wild-type
1
2 receptors, we assumed
that current changes observed in mutant receptors were due to covalent
modification of the introduced cysteine residues (Fig. 1). In general,
the residues that were reported previously (14) to be modified by
MTSEA-biotin (
1T60C,
1D62C,
1F64C,
1R66C, and
1S68C)
were also accessible to modification by MTSEA, MTSET, and MTSES (Fig.
1). Reaction with MTS reagents reduced GABA current by 14 (
1K70C, MTSET) to 96% (
1F64C, MTSEA). In
contrast to all other mutants, covalent modification of
1T60C caused an increase in IGABA
suggesting that the GABA EC50 value for this mutant
receptor decreases following covalent modification.
At any given position, the magnitude of the MTS effect on
IGABA was dependent on the specific MTS reagent
used (Fig. 1). The observed differences in MTS effects may be due to
the charge and/or size of the functional group tethered within the
binding site. However, it is also possible that the MTS reactions did
not go to completion due to their varied intrinsic reactivities (21). To test this possibility, we measured the rate at which each MTS reagent modified
1D62C,
1F64C,
1R66C, and
1S68C, making sure that each
reaction was followed to completion.
MTS Reaction Rate Constants--
The rates of covalent
modification of an introduced cysteine were obtained by measuring the
effect of successive subsaturating applications of each MTS reagent on
IGABA (Fig.
2A). The decrease in
IGABA was plotted versus cumulative
duration of MTS exposure and fit with a one-phase exponential decay
curve, which yields a pseudo first-order rate constant
(k1). To correct for the concentration dependence of the rate, a second-order rate constant
(k2, Table I) was
calculated by dividing k1 by the concentration
of MTS used ("Experimental Procedures"). In general, the maximal
effects of the MTS reagents observed in the rate experiments were
consistent with those measured in the 2-min pulse protocol (mutant:
MTSEA maximal inhibition/MTSEA 2-min inhibition;
1D62C:
64/54%;
1F64C: 92/96%;
1R66C: 32/33%;
1S68C: 34/32%). Because the reactions went to
completion, these data indicate that tethering groups of different size
and charge to the mutant receptors differentially affects
IGABA.

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Fig. 2.
Measurement of MTS reaction rates.
A, representative current trace recorded while measuring the
reaction rate of MTSES at 1R66C 2
receptors. Downward deflections represent inward currents elicited by
6-s applications of 1 mM GABA (~EC25).
Bars indicate the time of application of GABA or MTSES.
MTSES (500 µM) was applied for 20 s each time.
B, the logarithms of the ratio of the second-order rate
constants (k2) of the positively charged MTSET
over the negatively charged MTSES for 2-ME, 1F64C,
1R66C, and 1S68C are shown. All data
represent the mean ± S.E. of at least 4 experiments. The
k2 values are listed in Table I. Cationic MTSET
reacts significantly faster than anionic MTSES at 1F64C
and 1R66C. The rates for 2-ME were reported by Karlin
and Akabas (21).
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Table I
Rates of reaction of MTSES, MTSET, and MTSEA at
1D62C 2, 1F64C 2,
1R66C 2, and 1S68C 2
receptors
Rates of covalent modification of cysteine-containing receptors were
measured as described under "Experimental Procedures."
k2 values represent mean second-order rate
constants ± S.D. of at least three experiments. The free solution
(free sol.) rates were reported by Karlin and Akabas
(21) and reflect the rate at which each MTS compound
reacts with 2-mercaptoethanol, in solution.
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The rate of reaction of MTS modification of a binding site engineered
cysteine depends on several factors as follows: 1) the movement of the
MTS reagent from bulk solution to the substituted cysteine in the
binding pocket (permeability of the pathway); 2) the intrinsic
electrostatic potential within the pocket and along the pathway; 3) the
ionization (acid dissociation) of the substituted cysteine's
sulfhydryl group; and 4) steric restrictions in forming an activated
complex between the thiolate of the substituted cysteine and the MTS
reagent. MTS reagents react preferentially with the ionized thiolate
(RS
) form of cysteine (30, 31). Of the residues tested,
covalent modification of
1F64C was the fastest,
indicating that this is the most accessible residue in loop D. For
example, MTSET modified
1F64C with a k2 of
~5,500,000 M
1 s
1, which was
about 340-fold faster than reaction at
1R66C. Reaction at
1R66C, in turn, was about 40-fold faster than
modification at
1S68C (Table I). At
1D62C, MTSEA was the only reagent tested that
significantly altered IGABA. There are two
possible explanations for this result. Either MTSET and MTSES do not
react with
1D62C or covalent modification by these
reagents does not change IGABA, implying that
any apparent modification is functionally silent. To test these
possibilities, we measured the ability of MTSEA to modify covalently
1D62C after application of MTSET or MTSES. If MTSET or
MTSES modified
1D62C, then reaction with MTSEA should not occur, and no change in IGABA should be
observed. Application of MTSES or MTSET prior to MTSEA had no effect on
the ability of MTSEA to inhibit IGABA (data not
shown), indicating MTSET and MTSES do not react with
1D62C. It should be noted that the reaction rate of
MTSEA with
1D62C was very slow
(k2 = 16 M
1
s
1) indicating that
1D62C has limited accessibility.
In free solution, the rates of MTSEA, MTSET, and MTSES with
2-mercaptoethanol (2-ME) are 76,000, 212,000, and 17,000 M
1 s
1, respectively (21) (Table
I). The rate constants depend on the charges of the reactants. Because
the net charge of 2-ME is
1, positively charged MTS reagents react
faster than negatively charged MTS reagents with this compound (31).
Interestingly, the reaction rate constants of MTSET and MTSEA with
1F64C were ~30-fold faster than the their rates of
reaction with 2-ME in free solution (Table I). The rate of reaction of
the MTS reagents with
1F64C is influenced by the
intrinsic electrostatic potential of the GABA-binding site, which
arises from fixed charges and dipoles in the protein. The faster rates
of MTSET and MTSEA modification of
1F64C compared with
the rates of modification of a simple thiol in solution are likely due
to these intrinsic properties of the protein and suggest that the short
range interactions of MTSET and MTSEA with the GABA-binding site are
stronger than those with a simple thiol. Similar fast rates were
measured for MTSET and MTSEA reaction with the acetylcholine-binding
site cysteines,
C192/193, in reduced, wild-type Torpedo
nicotinic acetylcholine receptors, k2 ~3 × 106 M
1 s
1
(31).
Intrinsic Negative Electrostatic Potential in the GABA-binding
Site--
The intrinsic electrostatic potential at a substituted
cysteine can be examined by determining the rate of reactions of MTS reagents that differ in charge (26, 31, 32). We examined the
electrostatic potential at
1F64C,
1R66C,
and
1S68C by comparing the rates of reaction of the
positively charged MTSET and the negatively charged MTSES (Fig.
2B). Because MTSET and MTSES are approximately equivalent in
size and have a common reaction mechanism, differences in their
respective rates of reaction at a given residue are likely due to their
opposite charges. The second-order rate constants for MTSET
modification of
1F64C,
1R66C, and
1S68C were 235-, 2320-, and 10.4-fold faster than that
for MTSES, respectively (Table I and Fig. 2B). In
comparison, the second-order rate constant for MTSET modification of
2-ME is 12.5-fold faster than that for MTSES. To factor out the
intrinsic differences in the reactivities of the two MTS reagents and
the extent of ionization of the respective thiols, we divided the ratio
of the rates of the two reagents at an introduced cysteine by the ratio
of the rates for the two reagents with 2-ME (31-33). For
1F64C, the ratio of ratios is
= 235/12.5 = 18.8. For
1R66C and
1S68C,
= 185.6 and 0.84, respectively. A ratio of ratios that is significantly
larger than one indicates that there is a negative potential
experienced by that thiol. A ratio of ratios of ~1 indicates that
there is no charge selectivity for the reaction with this residue. We
can estimate the effective electrostatic potential at an introduced cysteine as shown in Equation 1,
|
(Eq. 1)
|
where z is the charge of the MTS reagent; R
is the gas constant; T is absolute temperature, and
F is Faraday's constant (31, 32). The calculated
electrostatic potential at
1F64C is
37 mV and the
potential at
1R66C is
66 mV. The negative potential may be smaller at
1F64C because of the nearby positively
charged arginine at position 66. The data indicate that there is a
substantial negative potential experienced by
1F64C and
1R66C and that a negative subsite exists within the
GABA-binding pocket that interacts with the positive charge on MTSET
and MTSEA during their reaction with
1F64C or
1R66C.
Expression and Functional Analysis of
1R66
Mutations--
Because GABA is zwitterionic, it is plausible that both
a positively and a negatively charged subsite are involved in its binding. One residue within loop D that could be part of a positive subsite is
1R66. Previously, we determined that cysteine
substitution at
1R66 increased the GABA EC50
value 320-fold (14). We mutated
1R66 to other residues
including alanine, histidine, leucine, serine, glutamine, and the
positively charged lysine. In each case, the GABA EC50
values were increased by more than 2 orders of magnitude compared with
wild-type receptors (R66A, 1000 ± 510 µM; R66H,
6200 ± 1500 µM; R66L, 1400 ± 400 µM; R66S, 2700 ± 375 µM; R66Q,
5300 ± 1700 µM; R66K, 5600 ± 350 µM; WT, 8.2 ± 0.4 µM). We calculate
that the change in free energy due to
1R66 mutation is
~3-4 kcal/mol. These data suggest that the positively charged arginine at position 66 may play a critical role in agonist binding.
We also measured the KI values for the antagonist
SR-95531 in oocytes expressing
1D62C,
1F64C,
1R66C, or
1S68C. Whereas mutations at
1F64 and
1R66
altered GABA EC50 values, SR-95531 KI
values were only altered by cysteine substitution at
1F64 (180-fold, Table II
and Fig. 3). Because SR-95531 is a larger
molecule than GABA, it is likely to be stabilized by different amino
acid residues within the binding pocket. These data indicate that
within the GABA-binding site there are distinct residues important for
agonist and antagonist binding. In this paper, the term "GABA
subsite" refers to residues within the overall binding pocket that
are important for GABA binding. Similarly, the term "SR-95531
subsite" refers to residues within the pocket that contribute to
SR-95531 binding. There may be residues within the binding pocket that
are involved in both GABA and SR-95531 binding, and thus the subsites
may overlap.
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Table II
GABA EC50 values and SR-95531 KI values
GABA EC50 values and SR-95531 KI values were
measured using two-electrode voltage clamping in oocytes as described
under "Experimental Procedures." All EC50 and
KI values are expressed as the average of at least
three independent experiments ± S.D. GABA EC50 values
were reported previously by Boileau et al.
(14).
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Fig. 3.
GABA concentration-response curves
(top), and SR-95531 competition curves
(bottom) were measured for
1 2
( ),
1D62C 2
( ),
1F64C 2
( ),
1R66C 2
( ), and
1S68C 2
( ) receptors expressed in Xenopus oocytes.
Data points were normalized to Imax for GABA
concentration-response curves and to IGABA in
the absence of blocker for SR-95531 competition curves. Points
represent the mean ± S.D. from at least three experiments. Data
were fit by nonlinear regression as described under "Experimental
Procedures." EC50 and KI values are
shown in Table II. GABA concentration-response curves are from data
reported in Boileau et al. (14).
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Effects of GABA, SR-95531, and Pentobarbital on MTS Reaction Rate
Constants--
To identify potential agonist and antagonist subsites,
we measured the rates of MTS covalent modification of
1D62C,
1F64C,
1R66C, and
1S68C in the presence and absence of GABA or SR-95531 (Table III and Fig.
4). We reasoned that if these residues
line the binding pocket, then the presence of SR-95531 or GABA should slow the rate of MTS reaction due to steric hindrance. Both GABA and
SR-95531 significantly slowed the rate of covalent modification at
1F64C and
1R66C, suggesting that these
residues line a common agonist/antagonist-binding region. However, the
rate of covalent modification of
1D62C was only slowed
by SR-95531, whereas the rate of modification of
1S68C
was only slowed by GABA. These results suggest that
1D62C may form part of an antagonist subsite, whereas
1S68C appears to form part of an agonist subsite.
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Table III
Rates of MTS covalent modification of 1D62C 2,
1F64C 2, 1R66C 2, and
1S68C 2 receptors in the presence and absence
of GABA, SR-95531, and pentobarbital (PB)
Rates of MTS reaction for all mutants except
1D62C 2 were measured using MTSES.
1D62C 2 does not react with MTSES, so MTSEA was
used for this mutant. Numbers reflect means of three or more
experiments ± S.D.
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Fig. 4.
A, structures of GABA and SR-95531.
Lengths were measured after energy minimization (<0.5 kcal/Å;
Chemsketch, ADC, Toronto, Ontario, Canada). B, rate of
sulfhydryl modification of 1F64C 2
receptors in the presence and absence of SR-95531. Representative GABA
(EC40-60) current traces were recorded while applying
MTSES (10 µM) in the presence (bottom) and
absence (top) of the antagonist SR-95531 (10 µM, EC95). C, decreases in
IGABA were plotted versus cumulative
MTS exposure at 1D62C, 1F64C,
1R66C, and 1S68C containing receptors.
Data obtained from individual experiments were normalized to the GABA
current measured at t = 0 and are presented as
mean ± S.D. from at least three independent experiments. Single
exponential curve fits of the data reveal the effects of GABA and
SR-95531 on the MTS reaction rates ( , MTS alone; , MTS + GABA;
, MTS + SR-95531). k2 values are shown in
Table III. For 1D62C receptors MTSEA was used for
covalent modification, whereas for 1F64C,
1R66C, and 1S68C MTSES was used, as
described under "Experimental Procedures."
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|
GABA not only binds to the receptor but also gates the channel.
Therefore, the slowing of the rate of reaction at
1S68C
in the presence of GABA could be due to conformational changes that occur when the channel opens and desensitizes rather than to a direct
physical block of position
1S68C by GABA. To distinguish between these possibilities, we measured the rate of covalent modification of
1S68C in the presence of pentobarbital,
which directly activates the channel (34, 35) by binding to a site distinct from GABA (17).
The rates of covalent modification of
1F64C and
1R66C were not altered in the presence of a directly
activating concentration of pentobarbital (500 µM),
suggesting that the opening of the channel does not change the ability
of the MTS reagents to modify these residues. However, the rates of
covalent modification of
1D62C and
1S68C
were significantly accelerated in the presence of a high concentration
of pentobarbital (500 µM) (Fig.
5 and Table III). Because opening of the
channel with pentobarbital accelerated covalent modification and GABA
slowed covalent modification of
1S68C, we predict that
GABA sterically blocks access to this residue.

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Fig. 5.
Rates of covalent modification in the
presence and absence of pentobarbital. The second-order rate
constants (k2) of MTS modification in the
presence (500 µM pentobarbital, black bars)
and absence of pentobarbital (white bars) at
1D62DC, 1F64C, 1R66C, and
1S68C were calculated as described under "Experimental
Procedures." For each mutant, the rate constants were normalized to
the MTS reaction rate measured in the absence of pentobarbital
(control). Data represent mean ± S.D. from at least three
experiments. * indicates values significantly different from control
MTS values with p < 0.001.
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|
Covalent modification of
1D62C by MTSEA was slowed in
the presence of SR-95531 and accelerated in the presence of
pentobarbital. Although the data are consistent with SR-95531 causing a
steric block and
1D62C lining part of an antagonist
subsite, it is feasible that SR-95531 could induce a conformational
change in the receptor that leads to a slowing of MTSEA reaction at
1D62C.
 |
DISCUSSION |
Recently, the crystal structure of the AChBP was solved (29). The
AChBP is a homologue of the extracellular N-terminal domain of the
nicotinic acetylcholine receptor and binds several ligands of this
receptor. The nicotinic acetylcholine receptor and the GABAA receptor are related proteins and are members of a
LGIC superfamily of receptors. Thus, by using the AChBP structure as a
template, we can begin to model the GABA-binding site (Fig. 6). Our secondary structure prediction of
loop D (Fig. 1) (14) agrees with the crystal structure of the AChBP
(29), where residues aligned with this region of the GABAA
receptor form a
-strand (Fig. 6).

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Fig. 6.
Structural model of the GABA-binding
site. The extracellular N-terminal regions of the
GABAA receptor 1 and 2
subunits were threaded onto the crystal structure of
acetylcholine-binding protein (29) and energy-minimized as described
under "Experimental Procedures." A, model of the /
interface of the GABAA receptor. Domains believed to
contribute to the GABA-binding site are highlighted in red
and are labeled A-F. B and C, amino
acid residues 1D62, 1F64,
1R66, and 1S68 in loop D are
shown. 1F64 and 1R66 lie within the core
of the GABA-binding pocket.
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In this study, we used SCAM to examine the physicochemical environment
of cysteine mutants in loop D. A residue in a relatively open, aqueous
environment will have a faster rate of reaction than a residue in a
relatively restrictive, nonpolar environment (26). In loop D, the
fastest MTS reaction rate occurs at
1F64C, followed by
1R66C,
1S68C, and
1D62C
(Table I). In addition, MTS reagents produce the largest inhibition of
IGABA at
1F64C, followed by
1R66C,
1S68C, and
1D62C
(Fig. 1). Our data indicate that
1F64C and
1R66C are located in an aqueous and sterically
unrestricted environment. Such an environment is thought to exist
within the core of the binding pocket, and we predict that these
residues lie within that core. Our prediction agrees with the AChBP
structure where aligned residues are located in the center of the
acetylcholine-binding pocket (Fig. 6). In contrast, we predict that
1D62C is located in a sterically confined region and/or
its sulfhydryl chain is in a relatively hydrophobic environment that is
poorly ionized, because its rate of covalent modification by MTSEA
(k2 = 16 M
1
s
1) is ~150,000-fold slower than that of
1F64C. Again, this is consistent with the structure of
the AChBP where the aligned position is at the periphery of the binding
site on a region of the
2 strand that is twisting away
and below the binding site.
We measured rates of reaction of differently charged MTS reagents to
identify charge-specific regions of the binding pocket (Table I).
Positively charged MTSET reacts significantly faster than negatively
charged MTSES at
1F64C and
1R66C (Fig.
2B). We conclude that the difference in rates is due to a
negative electrostatic potential located within the binding pocket.
Based on the AChBP structure, residues in the binding pocket that could potentially form this negative subsite include
1E182,
1D183 in the loop F region of the GABA-binding site.
Negatively charged residues in the homologous region of the muscle
nicotinic acetylcholine receptor (
D174/
D180) have been identified
that are important for acetylcholine binding (36, 37). Alternatively,
the negative subsite could be formed by
electrons of aromatic amino
acid side chains (38). Several aromatic residues have been identified that are important for GABA binding (
2Y97 (39),
2Y157,
2Y205, (17)). Experiments are in
progress to test these hypotheses.
We speculate that the amino group of GABA is oriented away from
1F64 and
1R66 and faces toward this
negative subsite, whereas the carboxylate group of GABA may be
stabilized, at least in part, by
1R66. Consistent with
this hypothesis, removal of the bidentate positive charge at
1R66 increases GABA EC50 values several
hundred-fold. In addition, muscimol, a high affinity agonist of the
GABAA receptor, has been shown to photoaffinity label the
receptor at
1F64 (12), and the photochemistry of this
reaction indicates that the carboxylate-like part of the muscimol
molecule reacts with
1F64 (40).
In order to elucidate differences between agonist and antagonist
binding, we measured rates of covalent modification in the presence and
absence of GABA and SR-95531. Covalent modification of
1D62C is slowed by SR-95531 but not GABA, whereas
modification of
1S68C is slowed by GABA but not
SR-95531. In addition, cysteine mutagenesis of
1R66
causes a change in GABA EC50 values but not SR-95531
KI values, whereas mutagenesis of
1F64 causes a change in both GABA EC50 and
SR-95531 KI values. Based on these data, we conclude
that different amino acid residues within the loop D region of the
binding pocket are important for mediating the effects of GABA and
SR-95531. This is most likely due to differences in ligand structure
and/or ligand positioning within the site.
Most GABAA receptor agonists and antagonists contain a
positively and a negatively charged functional group ~5 Å apart
(41), similar to the GABA molecule. It is possible that these different classes of compounds bind with their intercharge portion in the same
orientation. We have provided evidence that the carboxylate group of
GABA likely binds near
1F64 and
1R66.
Thus, like GABA and muscimol, we predict that the negatively charged
region of SR-95531 is oriented near
1R66 and
1F64.
One problem with this prediction is that mutation of
1R66 dramatically alters GABA binding but does not
affect SR-95531 binding. The larger size of SR-95531 indicates that
this molecule likely utilizes more attachment points than GABA within
the binding pocket. It is likely that the ring structures of SR-95531
(Fig. 4) provide these additional attachment points. Because the rate
of covalent modification of
1D62C is slowed in the
presence of SR-95531 and is not affected by GABA, we hypothesize that
the bulky aromatic rings of SR-95531 are located near
1D62. In lieu of a crystal structure of receptor bound
with ligand, it is difficult to identify definitively which residues
directly contact a ligand.
We demonstrate that conformational movements occur within the binding
pocket during channel gating. Pentobarbital increases the rate of
covalent modification of
1D62C and
1S68C
suggesting that the conformational change induced by pentobarbital
channel gating causes
1D62C and
1S68C to
become more accessible. This may be due to the direct movement of
1D62C and
1S68C or due to movement of
nearby regions of the protein.
The data presented in this study suggest that although the
1D62-
1S68 region is clearly involved in
forming the ligand-binding site, the specific interactions of GABA and
SR-95531 and the local structural movements associated with these
interactions are mediated by different amino acid residues. When GABA
binds to the binding site, a conformational change occurs that results
in channel activation, whereas when an antagonist binds channel gating
is prevented. We speculate that the binding of GABA causes a closure or
tightening of the binding pocket that leads to the opening of the
channel (18, 42), and we hypothesize that the binding of an antagonist like SR-95531, which is larger than GABA, prevents complete closure of
the pocket, and thus does not allow for channel gating. Further studies
identifying specific residues involved in agonist and antagonist
recognition within other parts of the binding pocket will lead to a
better understanding of the mechanisms behind ligand agonism and
antagonism and the process of channel gating.
 |
ACKNOWLEDGEMENTS |
We thank Dr. Andrew Boileau and Anson Davis
for constructing the cysteine mutants and Erin McCarthy, Jeff Malik,
and James Seffinga-Clark for treating the oocytes. We also thank James
Seffinga-Clark for help in constructing the structural models.
 |
FOOTNOTES |
*
This work was supported by a Pharmaceutical Research and
Manufacturers of America Foundation Predoctoral Fellowship (to
J. H. H.) and NINDS Grant NS34727 from the National Institutes of Health (to C. C.).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.
To whom correspondence should be addressed: Dept. of
Physiology and Molecular and Cellular Pharmacology Program,
University of Wisconsin, MSC, 1300 University Ave., Rm. 197, Madison, WI 53706. Tel.: 608-265-5863; Fax: 608-265-5512; E-mail:
czajkowski@ physiology.wisc.edu.
Published, JBC Papers in Press, March 14, 2002, DOI 10.1074/jbc.M111778200
 |
ABBREVIATIONS |
The abbreviations used are:
LGIC, ligand-gated
ion channel;
GABA,
-aminobutyric acid, GABAA,
-aminobutyric acid type A;
SCAM, substituted cysteine accessibility
method;
MTS, methanethiosulfonate;
MTSEA, 2-aminoethyl
methanethiosulfonate;
MTSET, 2-(trimethylammonium)ethyl
methanethiosulfonate;
MTSES, 2-sulfonatoethyl methanethiosulfonate;
2-ME, 2-mercaptoethanol;
AChBP, acetylcholine-binding protein.
 |
REFERENCES |
| 1.
|
Ortells, M. O.,
and Lunt, G. G.
(1995)
Trends Neurosci.
18,
121-127[CrossRef][Medline]
[Order article via Infotrieve]
|
| 2.
|
Macdonald, R. L.,
and Olsen, R. W.
(1994)
Annu. Rev. Neurosci.
17,
569-602[Medline]
[Order article via Infotrieve]
|
| 3.
|
Davies, P. A.,
Hanna, M. C.,
Hales, T. G.,
and Kirkness, E. F.
(1997)
Nature
385,
820-823[CrossRef][Medline]
[Order article via Infotrieve]
|
| 4.
|
Hedblom, E.,
and Kirkness, E. F.
(1997)
J. Biol. Chem.
272,
15346-15350[Abstract/Free Full Text]
|
| 5.
|
Bonnert, T. P.,
McKernan, R. M.,
Farrar, S.,
le Bourdelles, B.,
Heavens, R. P.,
Smith, D. W.,
Hewson, L.,
Rigby, M. R.,
Sirinathsinghji, D. J.,
Brown, N.,
Wafford, K. A.,
and Whiting, P. J.
(1999)
Proc. Natl. Acad. Sci. U. S. A.
96,
9891-9896[Abstract/Free Full Text]
|
| 6.
|
Barnard, E. A.,
Skolnick, P.,
Olsen, R. W.,
Mohler, H.,
Sieghart, W.,
Biggio, G.,
Braestrup, C.,
Bateson, A. N.,
and Langer, S. Z.
(1998)
Pharmacol. Rev.
50,
291-313[Abstract/Free Full Text]
|
| 7.
|
Whiting, P. J.,
Bonnert, T. P.,
McKernan, R. M.,
Farrar, S., Le,
Bourdelles, B.,
Heavens, R. P.,
Smith, D. W.,
Hewson, L.,
Rigby, M. R.,
Sirinathsinghji, D. J.,
Thompson, S. A.,
and Wafford, K. A.
(1999)
Ann. N. Y. Acad. Sci.
868,
645-653[CrossRef][Medline]
[Order article via Infotrieve]
|
| 8.
|
McKernan, R. M.,
and Whiting, P. J.
(1996)
Trends Neurosci.
19,
139-143[CrossRef][Medline]
[Order article via Infotrieve]
|
| 9.
|
Chang, Y.,
Wang, R.,
Barot, S.,
and Weiss, D. S.
(1996)
J. Neurosci.
16,
5415-5424[Abstract/Free Full Text]
|
| 10.
|
Sigel, E.,
Baur, R.,
Trube, G.,
Mohler, H.,
and Malherbe, P.
(1990)
Neuron
5,
703-711[CrossRef][Medline]
[Order article via Infotrieve]
|
| 11.
|
Levitan, E. S.,
Blair, L. A.,
Dionne, V. E.,
and Barnard, E. A.
(1988)
Neuron
1,
773-781[CrossRef][Medline]
[Order article via Infotrieve]
|
| 12.
|
Smith, G. B.,
and Olsen, R. W.
(1994)
J. Biol. Chem.
269,
20380-20387[Abstract/Free Full Text]
|
| 13.
|
Sigel, E.,
Baur, R.,
Kellenberger, S.,
and Malherbe, P.
(1992)
EMBO J.
11,
2017-2023[Medline]
[Order article via Infotrieve]
|
| 14.
|
Boileau, A. J.,
Evers, A. R.,
Davis, A. F.,
and Czajkowski, C.
(1999)
J. Neurosci.
19,
4847-4854[Abstract/Free Full Text]
|
| 15.
|
Westh |