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The Journal of Neuroscience, October 15, 2002, 22(20):8860-8868
Direct Effects of Calmodulin on NMDA Receptor Single-Channel
Gating in Rat Hippocampal Granule Cells
Beth K.
Rycroft and
Alasdair J.
Gibb
Department of Pharmacology, University College London, London WC1E
6BT, United Kingdom
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ABSTRACT |
NMDA receptors are glutamate-sensitive ion channel receptors that
mediate excitatory synaptic transmission and are widely implicated in
synaptic plasticity and integration of synaptic activity in the CNS.
This is in part attributable to the high calcium permeability of
the ion channel, which allows receptor activation to influence the
intracellular calcium concentration and also the slow time course of
NMDA receptor-mediated synaptic currents. NMDA receptor activity is
also regulated by the intracellular calcium concentration through
activation of various calcium-dependent proteins, including calmodulin,
calcineurin, protein kinase C, and -actinin-2. Here, we have shown
that calmodulin reduces the duration of native NMDA receptor
single-channel openings from 3.5 ± 0.6 msec to 1.71 ± 0.2 msec in agreement with previous studies on recombinant NMDA receptors
(Ehlers et al., 1996 ). NMDA receptor single-channel amplitudes and shut
times were not affected. However, calmodulin reduced the duration of
groups of channel openings called superclusters, which determine the
slow time course of synaptic currents, from 121 ± 25.4 msec to
60.4 ± 11.6 msec. In addition, total open time, number of channel
openings, and charge transfer per supercluster were all reduced by
calmodulin. A 68% decrease in charge transfer per supercluster
suggests that calmodulin activation will significantly reduce calcium
influx during synaptic transmission. These results suggest that
calmodulin-dependent inhibition of NMDA receptors will reduce the
amplitude and time course of excitatory synaptic currents and thus
affect synaptic plasticity and integration of synaptic activity in the CNS.
Key words:
NMDA receptors; calmodulin; hippocampus; dentate gyrus; granule cells; postnatal development; rat brain; patch-clamp
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INTRODUCTION |
With progressive isolation and
identification of many postsynaptic density elements, the biochemical
basis for synaptic plasticity is becoming clearer (Kim and Huganir,
1999 ; Kennedy, 2000 ; Sheng and Pak, 2000 ). The NMDA receptor is a key
component of the postsynaptic density and, because of its high calcium
permeability (MacDermott et al., 1986 ; Mayer and Westbrook, 1987 ;
Ascher and Nowak, 1988 ; Schneggenburger et al., 1993 ), has a
significant role in synaptic plasticity (Bliss and Collingridge, 1993 ,
1995 ; Bear and Malenka, 1994 ).
Several calcium-dependent proteins associated with the postsynaptic
density alter NMDA receptor activity, including calmodulin (CaM)
(Ehlers et al., 1996 ; Hisatsune et al., 1997 , Rafiki et al., 1997 ;
Zhang et al., 1998 ; Krupp et al., 1999 ), calcineurin (Lieberman and
Mody, 1994 ; Tong and Jahr, 1994 ; Tong et al., 1995 ), protein kinase C
(PKC) (Chen and Huang, 1992 ; Wagner and Leonard, 1996 ; Xiong et al.,
1998 ; Lu et al., 2000 ; Lan et al., 2001 ), and -actinin-2 (Wyszynski
et al., 1997 ; Zhang et al., 1998 ; Krupp et al., 1999 ). Therefore, it is
generally acknowledged that calcium influx, in part through the NMDA
channel, can regulate NMDA receptor activity via various pathways.
Calmodulin binds to two discrete regions of the NR1 subunit C terminus:
a high-affinity site at the alternatively spliced C1 exon (estimated
affinity, 4 nM) and a lower affinity site at the
neighboring C0 region (estimated affinity, 87 nM) (Ehlers et al., 1996 ). Patch-clamp studies of recombinant NR1/NR2A receptors have shown that calmodulin reduces channel open time and open probability (Popen) (Ehlers et al.,
1996 ). However, these results do not allow us to predict whether
calmodulin will affect the time course of the synaptic current. For
example, block of the channel by magnesium reduces channel open times
and open probability but does not affect the synaptic current time
course (Hestrin et al., 1990a ).
Additional information concerning NMDA receptor function can be
obtained from single-channel recordings by investigating the properties
of groups of openings, referred to as "superclusters" (Gibb and
Colquhoun, 1992 ; Wyllie et al., 1998 ). A supercluster constitutes a
single receptor activation, the sequence of openings and closings
between the first channel opening after agonist binding, and the last
opening before complete dissociation of agonist (Gibb and Colquhoun,
1992 ). Single activations are of particular interest because there is
good evidence that the NMDA receptor does not rebind glutamate during
synaptic transmission (Hestrin et al., 1990b ; Lester et al., 1990 ). The
properties of single receptor activations, in combination with the
first latencies to channel opening, will therefore determine the
amplitude and time course of the synaptic current (Lester et al., 1990 ;
Wyllie et al., 1998 ).
The effect of calmodulin on NMDA receptor-mediated synaptic currents
has not been investigated directly, although Rosenmund et al. (1995)
reported a calcium-dependent reduction in NMDA EPSC amplitude, and
Umemiya et al. (2001) demonstrated a calcium-dependent shortening of
the decay kinetics of NMDA miniature EPSCs. It is likely that
calmodulin is involved in these effects (Zhang et al., 1998 ; Krupp et
al., 1999 ).
In this study, we investigated the modulation of NMDA receptor
single-channel properties by calmodulin. The results demonstrate that
calmodulin reduces NMDA channel mean open time, supercluster duration,
total open time per supercluster, and the number of channel openings
per supercluster, suggesting that calmodulin regulates the time course
of the NMDA receptor-mediated synaptic current.
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MATERIALS AND METHODS |
Hippocampal slices (300 µm thick) from 12-d-old Sprague Dawley
rats were made in an ice-cold (<4°C) oxygenated slicing solution of
the following composition (in mM): 250 sucrose, 2.5 KCl, 1 CaCl2, 4 MgCl2, 1.25 NaH2PO4, 24 NaHCO3, and 25 glucose, pH 7.4, using a
vibroslicer (Vibroslice 752; Campden Instruments, Loughborough, UK).
Slices were maintained for 1-8 hr at room temperature in an incubation
chamber in Krebs solutions containing (in mM): 125 NaCl,
2.5 KCl, 1 CaCl2, 4 MgCl2,
1.25 NaH2PO4, 24 NaHCO3, and 25 glucose, pH 7.4. Slices were
viewed on the stage of an upright microscope (Zeiss Axioscope
FS; Oberkochen, Germany) using Nomarski differential
interference contrast optics (Edwards et al., 1989 ), and dentate gyrus
granule cells were identified by their location, size, and morphology
(Koh et al., 1995 ).
For single-channel recording, slices were bathed in Mg-free Krebs
solution containing (in mM): 125 NaCl, 2.5 KCl, 1 CaCl2, 1.25 NaH2PO4, 24 NaHCO3, and 25 glucose, pH 7.4, continuously gassed with a mixture of O2 (95%) and
CO2 (5%). Control outside-out patch recordings
were made with patch pipettes filled with a low chloride (10 mM) pipette solution containing (in mM): 10 NaCl, 10 EGTA, 10 HEPES, and 140 sodium gluconate acid, adjusted to pH
7.3 with NaOH (Gibb and Colquhoun, 1991 ), with a buffered free calcium
concentration (calibrated with a calcium electrode) of 12 nM. Total [Ca2+], 5.32 mM, was calculated using the program "ALEX" by
Michael Vivaudou (Biophysique Moleculaire et cellulaire, Centre
National de la Recherche Scientifique, Grenoble, France), which
is based on that described by Fabiato (1988) .
Calmodulin has four calcium binding sites where occupancy of two or
more binding sites is needed to give active calmodulin (James et al.,
1995 ). The concentration of active calmodulin (calmodulin with two or
more binding sites occupied) was calculated using the equilibrium
constants for calcium binding given by Haiech et al. (1981) of
K1 = 67 nM,
K2 = 170 nM, K3 = 600 nM, and K4 = 900 nM. Active calmodulin (12 nM) was thus obtained at a total pipette
concentration of 1.2 µM calmodulin. The
affinity of calmodulin for a fusion peptide of the NR1 subunit
C-terminal C1 region estimated by Ehlers et al. (1996) to be 4 nM suggests that 12 nM
active calmodulin would result in 75% occupancy of the NR1 subunit
high-affinity C1 region, whereas an estimated affinity of ~80
nM for the low-affinity C0 region would result in
13% occupancy by 12 nM active calmodulin.
Outside-out patch-clamp single-channel recordings were made with patch
pipettes pulled from thick-walled aluminosilicate glass capillaries
containing internal filament (SM150F-7.5; outer diameter 1.5 mm, inner
diameter 0.80 mm; Clark Electromedical, Reading, UK) coated with
Sylgard 184 (Dow Corning, Midland, MI) and fire polished on a
microforge (Narishige MF-83; Tokyo, Japan) to a final resistance of
20-30 M . Single-channel currents were recorded using a Axopatch
200A patch-clamp amplifier (Axon Instruments, Foster City, CA) and
stored on digital audio tape (BioLogic DTR 1202). Before recording was
attempted, the patch noise level was checked, and an rms noise
level of <0.300 pA at a bandwidth of 5 kHz was considered acceptable.
Patches showing spontaneous channel activity in the absence of agonists
were discarded. Each outside-out patch was exposed to a constant low
concentration of 10 µM glycine and 100 nM to
10 µM NMDA (Tocris Cookson, Bristol, UK) for 10-40 min
at a membrane potential of 60 mV at room temperature
(20-24°C).
Single-channel currents were replayed from tape, amplified and
filtered at 2 kHz (eight pole Bessel), and digitized at 20 kHz using an
analog-to-digital converter (CED 1401plus; Cambridge Electronics
Design, Cambridge, UK). Each digitized record was analyzed using
"SCAN", an interactive computer program (can be requested at
http://www.ucl.ac.uk/Pharmacology/dcpr95.html) that fits the time
course of each event based on the step response of the recording system
(Colquhoun and Sigworth, 1995 ). Display and analysis of single-channel
data distributions were done using "EKDIST" (Colquhoun and
Sigworth, 1995 ). Before analysis, a fixed resolution for open times and
closed times that gave a false event rate of
10 12 events/sec was imposed (Colquhoun
and Sigworth, 1995 ). This was 100 µsec for open and closed times for
the patches analyzed in this study. Before a patch was accepted for
detailed analysis, the long-term stability of the data records was
checked by making stability plots for amplitudes, open times, shut
times, and Popen (Weiss and Magleby,
1989 ). Stability plots for amplitudes were made by plotting against
event number, the amplitude of all openings longer than two filter rise
times (332 µsec), which were therefore of a duration sufficient to
reach 98.8% of their full amplitude. Each data point on the
amplitude stability plot therefore represents a single-channel opening
independent of its duration. Stability plots for open and shut times
were made by calculating a moving average of 50 consecutive open or
shut time intervals with an overlap of 25 events and plotting this
average against the interval number at the center of the averaged
values. Stability plots for open probability were made by calculating a
Popen value for each set of 50 open
and shut times. Once the stability of the record had been confirmed,
amplitude distributions were made containing individual channel
amplitudes longer than two filter rise times (332 µsec).
Distributions of channel amplitudes were best fitted with the sum of
two Gaussian components with the SD constrained to be the same for both
components. Distributions of closed and open times were displayed using
a logarithmic transformation of the x-axis (McManus et al.,
1987 ; Sigworth and Sine, 1987 ) and a square root transformation of the
y-axis (Sigworth and Sine, 1987 ). Distributions were fitted
using the maximum likelihood method with probability density functions
that were a mixture of three exponential components for open times and
six exponential components for closed times (Colquhoun and Sigworth,
1995 ).
Superclusters of openings were defined as groups of openings separated
by shut times of duration less than a critical shut time (Colquhoun and
Sakmann, 1985 ), calculated from the fitted parameters of the
distribution of shut times such that gaps underlying the sixth
exponential component of the shut-time distribution were classified as
gaps between superclusters (Gibb and Colquhoun, 1992 ; Wyllie et al.,
1998 ). tcrit values were
calculated so that the percentage of long shut times that were
misclassified as "within clusters" was equal to the percentage of
short shut times that were misclassified as "between clusters"
(Colquhoun and Sigworth, 1995 ). Distributions of supercluster duration
and total open time per supercluster were displayed with a square root
scale on the y-axis and logarithmic scale on the
x-axis and fitted with a mixture of exponential components.
Distributions of the number of channel openings per supercluster were
displayed with a square root scale on the y-axis and
logarithmic scale on the x-axis (Anson et al., 2000 ) and
fitted with a mixture of geometric components as appropriate. Supercluster Popen (the fraction of
time during the supercluster that the channel dwells in any open state)
was calculated for each experiment by dividing the mean total open time
per supercluster by the mean supercluster duration. Mean charge
transfer per supercluster was calculated by multiplying the weighted
mean current amplitude by the mean total open time per supercluster.
Superclusters of openings (identified using the same
tcrit value that was used to make
distributions of superclusters) were aligned at the start of the first
opening of each supercluster (Wyllie et al., 1998 ). Sections of the
data record of a fixed length and containing only one supercluster were
visually checked and stored for subsequent averaging. If the (fixed
length) sample being averaged contained any other openings after the
end of the supercluster, the openings were replaced by sections of
empty baseline excised from nearby parts of the data record. Those
containing simultaneous openings (double openings) were discarded.
Data are expressed as mean ± SE. For statistical comparisons, a
randomization test was used that does not involve making any assumptions about the shape of the distribution of observations (can be
requested at http://www.ucl.ac.uk/Pharmacology/dcpr95.html). Statistical significance was set at p < 0.05, unless
otherwise indicated.
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RESULTS |
Single NMDA channel recordings
NMDA (100 nM to 10 µM) and a saturating
concentration of glycine (10 µM) were applied to
outside-out patches taken from hippocampal dentate gyrus granule cells
to allow identification of individual NMDA receptor activations. In
these experiments, calmodulin was present in excess (1.2 µM) in the pipette solution, and the calcium concentration (12 nM) was buffered to produce 12 nM active calmodulin (for more detail, see Materials and
Methods). This concentration of active calmodulin was chosen to
investigate the actions of calmodulin when predominantly bound to the
high-affinity C1 site on the NR1 subunit of the NMDA receptor (Ehlers
et al., 1996 ).
Single-channel amplitude measurements at 60 mV gave a main chord
conductance of 54.7 ± 1.1 pS and subconductance of 41 ± 0.8 pS for control patches (n = 13) and 57.2 ± 1.7 pS
and 43.9 ± 1.5 pS for calmodulin-treated patches
(n = 15), indicating that single-channel conductance
was not significantly altered by the presence of calmodulin. These data
are similar to those from previous experiments on granule cell NMDA
receptors (Strecker et al., 1994 ).
To collect enough data to analyze groups of channel openings
constituting a supercluster, recordings were maintained for 60 min
depending on the level of channel activity. Figure
1 illustrates continuous recordings, each
5 sec in duration, from a control and 12 nM
calmodulin-treated patch, respectively, recorded at 60 mV. The
presence of 12 nM calmodulin applied to the intracellular surface of outside-out patches did not alter the long-term stability of
NMDA channel amplitude or kinetic behavior, such as mean shut time,
mean open time, and open probability, as illustrated in Figure
2.

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Figure 1.
Patterns of channel activity mediated by NMDA
receptors in control (A) and 12 nM
calmodulin-treated (B) outside-out patches.
Downward deflections in the baseline indicate single-channel openings
in the presence of 100 nM NMDA and 10 µM
glycine for traces in A and
B. Recordings are from outside-out patches taken from
dentate gyrus hippocampal granule cells. Traces in
A and B show a 5 sec continuous recording
at a holding potential of 60 mV. Currents were low-pass filtered at 2 kHz ( 3 dB, 8 pole Bessel filter).
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Figure 2.
Stability plot analysis of single-channel
amplitudes, shut times, open times, and
Popen for control (A,
C) and 12 nM calmodulin-treated patches
(B, D). Amplitude stability plots contain
3449 (A) and 4998 (B)
plotted amplitudes, for amplitudes longer than two filter rise times,
observed during recordings of 840 sec (A) and
3648 sec (B) duration. Kinetic stability
plots (C, D) show a running average of
shut times (top), open times (middle),
and Popen (bottom). Bins show
a running average of 100 or 150 consecutive open or shut time intervals
with an overlap of 50 or 75 events plotted against the interval number
at the center of the averaged values. Horizontal dashed
lines represent the average values for the whole recording. In
these examples, the overall mean shut time, mean open time, and
Popen were 240 msec, 3.39 msec, and 0.014 for control and 141 msec, 1.07 msec, and 0.008 for 12 nM
calmodulin, respectively.
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Calmodulin reduces single NMDA receptor channel mean open time
Distributions of the duration of all channel openings during a
single recording were best fitted with a mixture of three exponential components (Fig. 3). The mean time
constants for each component (and relative area) were 96 ± 11 µsec (20 ± 3%), 2.12 ± 0.4 msec (33 ± 5%), and
5.84 ± 0.8 msec (47 ± 6%) for control patch data (n = 13) and 135 ± 32 µsec (29 ± 2%),
1.01 ± 0.1 msec (31 ± 6%), and 3.2 ± 0.3 msec
(40 ± 5%) for calmodulin-treated patches (n = 15). Figure 2 illustrates that the presence of calmodulin appears to
shift the NMDA single-channel open-time distribution to the left when
compared with the control patch open-time distribution. This reflects a
significant decrease in the NMDA receptor mean open time in the
presence of calmodulin (1.71 ± 0.2 msec) when compared with
control (3.5 ± 0.6 msec). Depending on whether there are other
kinetic effects of calmodulin, these results imply that the action of
calmodulin will be to reduce macroscopic NMDA receptor-mediated postsynaptic currents.

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Figure 3.
Comparison of distributions of open periods in
control (A) and 12 nM
calmodulin-treated (B) patches. In these
distributions, open periods ranging from 0.1 to 59.9 msec were fitted
with a mixture of three exponential components (time constants and
associated areas are shown in the inset). The predicted
mean open times (and observed and predicted number of observations)
were 3.72 msec (3675 and 4719) for control and 2.43 msec (6641 and
9294) for calmodulin-treated patches.
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Calmodulin does not affect single NMDA receptor channel mean
shut time
To determine whether calmodulin produces kinetic effects on NMDA
channel gating, in addition to affecting channel open times, it is
necessary to examine the distribution of channel shut times. Shut-time
distributions were best fitted with a mixture of six exponential
components for both control and calmodulin-treated patches (Fig.
4). The mean time constants (and relative
area) were 65 ± 4 µsec (22 ± 3%), 0.53 ± 0.04 msec
(16 ± 2%), 1.79 ± 0.25 msec (22 ± 4%), 21.5 ± 3.42 msec (13 ± 2%), 358 ± 105 msec (10 ± 2%), and
1499 ± 365 msec (17 ± 4%) for control (n = 13) and 69 ± 7 µsec (15 ± 2%), 0.52 ± 0.06 msec
(15 ± 2%), 2.01 ± 0.35 msec (23 ± 4%), 18.7 ± 2.12 msec (13 ± 1%), 254 ± 45 msec (14 ± 3%), and
1241 ± 272 msec (20 ± 2%) for calmodulin-treated patches
(n = 15). The values for each time constant and its
relative area were consistent between the two experimental groups,
which suggests that calmodulin does not affect NMDA receptor channel shut times. The mean shut time for control (234 ± 36 msec) was not significantly different from that of calmodulin-treated patches (245 ± 44 msec). Therefore, these results suggest that the main effect of low concentrations of calmodulin is to reduce the channel mean open time without affecting channel shut times.

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Figure 4.
Distribution of shut times for control
(A) and 12 nM calmodulin-treated
(B) patches. In these distributions, shut time
intervals ranging from 0.1 to 20,660 msec were best fitted with a
mixture of six exponential components (time constants and associated
areas are shown in the inset). The predicted mean shut
times (and observed and predicted number of observations) were 299 msec
(3744 and 4540) for control and 264 msec (1840 and 2069) for
calmodulin-treated patches. Bisection of the fifth and sixth
exponential components gave a tcrit value,
indicated by an arrow, used in identifying
superclusters of 407 msec for control and 562 msec for the
calmodulin-treated patch in this instance.
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Calmodulin changes the characteristics of superclusters of
single-channel openings
To determine whether calmodulin affects the properties of groups
of openings resulting from a single receptor activation, groups of
channel openings, here referred to as superclusters, were
identified using the information contained within channel shut-time
distributions. Superclusters were defined as groups of channel openings
that are separated by shut periods shorter than a critical time
(tcrit), which is calculated from the
bisection of the fifth and sixth shut time components of the individual patch shut-time distributions, as illustrated in Figure 4.
Six control patches were suitable for supercluster analysis and five
calmodulin-treated patches, based on clear separation of the fifth and
sixth exponential components of the shut-time distribution. The mean
tcrit was 294.4 ± 43.8 msec for
control and 238.4 ± 49.8 msec for calmodulin-treated patches.
Distributions of supercluster durations were best fitted with a mixture
of four exponential components (Fig. 5).
The mean time constants for each component (and relative area) were
0.13 ± 0.03 msec (18 ± 2%), 2.52 ± 0.91 msec
(17 ± 2%), 20.8 ± 8.3 msec (20 ± 5%), and
254.7 ± 34.3 msec (45 ± 6%) for control patch data
(n = 6) and 0.11 ± 0.02 msec (27 ± 4%),
1.49 ± 0.46 msec (19 ± 3%), 15.7 ± 7.3 msec (19 ± 4%), and 162.3 ± 25.1 msec (35 ± 3%) for
calmodulin-treated patches (n = 5). Calmodulin
significantly reduced the mean supercluster duration from 120.9 ± 25.4 msec in control to 60.4 ± 11.6 msec for calmodulin-treated
patches.

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Figure 5.
Comparison of supercluster length distributions
for control (A) and 12 nM
calmodulin-treated (B) patches. In these
distributions, superclusters ranging from 0.1 to 2640 msec in duration
were fitted with a mixture of four exponential components (time
constants and associated areas are shown in the inset).
Predicted mean supercluster duration (and observed and predicted number
of observations) was 144 msec (512 and 578) for control and 40 msec
(1041 and 1241) for the calmodulin-treated patch.
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Figure 6, A and B,
summarizes the effect of calmodulin on supercluster characteristics. In
addition to supercluster duration, total open time per supercluster was
significantly reduced from 25 ± 6.4 msec (n = 6)
in control to 7.12 ± 1.7 msec (n = 5) in the
presence of calmodulin. Consequently, calmodulin significantly reduced
mean charge transfer per supercluster from 69.6 ± 17 fC in
control (n = 6) to 22.9 ± 4.9 fC in
calmodulin-treated patches (n = 5) (Fig.
6C), and there was also a reduction in the number of channel
openings per supercluster from 6.75 ± 1 in control (n = 6) to 4.95 ± 1.1 in calmodulin-treated
patches (n = 5) (Fig. 6D). The
reduction in supercluster duration, total open time per supercluster,
and number of openings per supercluster by calmodulin all contributed
to a reduction in supercluster Popen
[0.23 ± 0.07 for control (n = 6), and 0.12 ± 0.02 for calmodulin-treated patches (n = 5)],
although this was not statistically significantly (Fig. 6E).

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Figure 6.
A, Comparison of mean supercluster
length; B, mean open time per supercluster;
C, mean charge transfer per supercluster;
D, mean number of channel openings per supercluster;
E, mean supercluster Popen
for control and 12 nM calmodulin-treated patches. Bar
charts illustrate averaged data for control (black bars)
and calmodulin (white bars)-treated patches. Significant
differences are indicated as follows: *p < 0.05.
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Alignment of superclusters
To simulate and illustrate the actions of calmodulin in relation
to its likely effects on synaptic currents, superclusters were aligned
at the start of the first channel opening and averaged to give an
ensemble current. Figure 7, A
and B, illustrates examples of superclusters, and their
alignment, from a control and calmodulin-treated patch where the mean
supercluster durations were 88.6 and 27.8 msec, respectively. The
corresponding ensemble currents were normalized and superimposed on a
faster timescale and amplified to show the difference between the slow
component of the current decay (Fig. 7C). These examples
show that the average current from the calmodulin-treated patch has a
faster decay time course than that of the control patch as expected
from the properties of supercluster duration distributions.

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Figure 7.
Alignment of superclusters of single NMDA channel
activations. Sections of data records from control
(A) and 12 nM calmodulin-treated
(B) outside-out patches are presented. Each
contains supercluster openings from patches exposed to 100 nM NMDA and 10 µM glycine. Each section of
data record is 1100 msec long and contains a single supercluster of
openings. These are aligned so that the start of the first opening of
each supercluster occurs simultaneously. C, The
corresponding ensemble currents are normalized and superimposed on a
faster timescale (600 msec), and the normalized amplitudes are enlarged
(238%) to show the difference between the slow component of the
current decay for a control and a 12 nM calmodulin-treated
patch, containing 643 and 1142 superclusters, respectively.
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DISCUSSION |
We have shown that calmodulin regulates native NMDA receptor
activity by reducing single-channel mean open time and the duration of
superclusters of channel openings. A reduction in supercluster duration
and total open time per supercluster indicates that calmodulin will
inhibit NMDA receptor-mediated synaptic currents by shortening their
decay time course and reducing their amplitude. This will influence the
ability of a neuron to detect synchronous activity at two different
synapses, as conferred by the NMDA receptor, a process important to the
integration of synaptic inputs onto one neuron.
Inhibition of NMDA receptor single-channel activity
by calmodulin
Although calmodulin significantly reduced NMDA receptor channel
mean open time, the channel shut times remained unaffected. This
suggests that an allosteric rather than a channel-blocking (Zhang et
al., 1998 ) mechanism is involved in inhibition of single NMDA channel
activity by calmodulin. For example, characteristic NMDA channel block,
such as that observed with magnesium, is recognized by a distinct
fingerprint alteration of the single-channel shut-time distribution
(Ascher and Nowak, 1988 ; Antonov and Johnson, 1999 ). Because magnesium
does not change the time course of NMDA receptor-mediated synaptic
currents (Hestrin et al., 1990a ), it is likely that a similar effect of
calmodulin on the duration of channel activations will be observed at
physiological magnesium concentrations (although the actions of
calmodulin on channel open time would then be obscured by the much more
rapid channel-blocking action of magnesium).
Because of the combined effect of calmodulin on channel open time and
supercluster properties, mean charge transfer through the NMDA receptor
channel during a single activation was reduced. Considering that
calcium entry into the neuron contributes 16% of the NMDA receptor
current (Schneggenburger et al., 1993 ), activation of intracellular
second messenger systems that rely on this source of calcium will be
altered by calmodulin.
To explain the mechanistic effect of calmodulin on supercluster
properties, the following factors should be considered. The reduction
by calmodulin of total open time per supercluster, and hence charge
passed per supercluster, results from both a shortening of channel open
time and a decrease in the number of openings per activation.
Supercluster duration, however, depends on the open times, the number
of openings, and the closed times within the activation. This is
illustrated diagrammatically in Figure 8.

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Figure 8.
Illustration of the effects of
calmodulin on supercluster duration. Shut time components
1, 2, 3, 4,
and 5 (not drawn to scale) are unaffected by calmodulin,
whereas channel open times a, b, and
c are shortened, and the number of channel openings per
supercluster is reduced, resulting in an overall reduction in
supercluster duration and total open time per supercluster. A reduction
in the number of openings per supercluster is associated with a reduced
number of gaps per supercluster as illustrated schematically in
B. C, An extension of the
mechanism for NMDA channel gating proposed by Lester and Jahr (1992) is
shown in which agonist (A) binds to receptor (R)
that can be either free (R) or occupied by CaM
(Rc). Doubly liganded receptor
(A2R) then isomerises to the open channel state
(O) or to the desensitised state
(A2RD). Calmodulin is assumed to be
able to bind equally well to any state of the receptor
(k+CaM = 10 6
M 1 sec 1 and
k CaM = 0.004 sec 1). Simulations of single-channel data, using
the rate constants shown and with kon and
koff fixed at 0.5 × 107 M 1
sec 1 and 25 sec 1, resulted in
supercluster properties that matched the data from control and
calmodulin-treated patches as shown in D.
|
|
The duration of superclusters and the total open time per supercluster
were reduced by 50 and 72%, respectively, in the presence of
calmodulin. The difference between these two values reflects the
presence of unaffected shut times included in the measurement of
supercluster duration and the proportion of time the channel is open
during the supercluster. Because the supercluster
Popen is relatively low (0.1-0.2),
the Popen does not change in
proportion to changes in open time. However, overall, the reduction in
the number of openings per supercluster combined with the reduction in
mean open time is sufficient to significantly shorten the overall supercluster duration.
These results suggest that the effects of calmodulin can be described
by assuming that calmodulin alters NMDA receptor gating, and we have
tested this idea using simulations of channel activity (Colquhoun and
Hawkes, 1995 ) based on the mechanism shown in Figure 8. This shows an
extension of the mechanism proposed by Lester and Jahr (1992) to
describe the time course of NMDA receptor-mediated synaptic currents
and the response of NMDA receptors to rapid agonist application. By
allowing calmodulin to bind equally well to any state in the
Lester-Jahr model, the effects of calmodulin on single-channel
activity observed in this study were simulated. This mechanism has some
limitations in that it does not include the minimum of three open
states and six shut states suggested by the single-channel data and so
is used here only in a descriptive manner to illustrate the effects of
calmodulin. In control recordings, the mean open time for patches
selected for supercluster analysis was 3.67 msec, suggesting a channel
closing rate, , of 275 sec 1. The
channel opening rate, , channel desensitization rate,
kD, and rate of recovery from
desensitization, k D, were then set
to give the number of openings per supercluster, supercluster duration,
and supercluster Popen observed in
control recordings. We assumed that the agonist, NMDA, has a
microscopic association rate, kon
(0.5 × 107
M 1
sec 1), and a dissociation rate,
koff (25 sec 1), consistent with an equilibrium
dissociation constant of 5 µM. These control
rate constants were then fixed, and the calmodulin concentration was
set to 12 nM with the association rate,
k+CaM (106
M 1
sec 1), and dissociation rate,
k CaM (0.4 × 10 2
sec 1), consistent with the affinity of
calmodulin for C1 estimated by Ehlers et al. (1996) . By altering only
the channel opening and closing rates and the rates into and out of the
desensitized state of the calmodulin-bound receptor, it was then
possible to mimic closely the supercluster properties observed in the
presence of calmodulin. These results show that the effect of
calmodulin can be reproduced by assuming that receptors with calmodulin
bound have a 7.3-fold increased channel closing rate, 1.9-fold
decreased channel opening rate, and 2.6-fold decreased rate of
desensitization. The microscopic agonist association and dissociation
rates need not be changed to simulate the effect of calmodulin,
although these changes to the channel gating mean that the
EC50 for NMDA is predicted to change from 2.9 to
5.6 µM in the presence of calmodulin. The
results in this study do not test the possibility that glycine binding
to the receptor could be affected by calmodulin or whether the action
of calmodulin could be different at nonsaturating glycine concentrations. The glycine concentration used in this study (10 µM) is sufficient to saturate all but NR2A
receptors. However, provided two glycine molecules must be bound for
receptor activation to occur (Clements and Westbrook, 1991 ), then the
results in this study suggest that the effect of calmodulin would be
the same at other glycine concentrations. These considerations are also relevant to the fact that patch excision is known to prolong channel open times compared with the open times of cell-attached patches and
removes glycine-sensitive desensitization (Sather et al., 1992 ) caused
by the negative allosteric effect of agonist binding at the glutamate
site on the glycine affinity at the glycine site (Benveniste et al.,
1990 ). Although the rates of channel closing and desensitization are
therefore likely to be different for receptors on an intact cell, the
effect of calmodulin will remain.
Inhibition of NMDA-mediated synaptic currents by calmodulin
It is possible to predict that the time course of NMDA-mediated
EPSCs will be close to the supercluster duration, because a synaptic
current occurs in response to a brief pulse of glutamate in the synapse
(Lester et al., 1990 ) and because the NMDA receptor does not rebind
glutamate during synaptic transmission (Hestrin et al., 1990b ; Lester
et al., 1990 ). Because the first latencies (the time between agonist
binding and first channel opening) are short relative to the
supercluster duration (Jahr, 1992 ; Wyllie et al., 1998 ), the
supercluster duration will be the main determinant of the synaptic
current decay.
Wyllie et al. (1998) demonstrated that the time constants contained in
the supercluster duration distribution are, in principal, similar to
the time constants in the decay of a current produced by a very brief
application of a high concentration of glutamate to outside-out
patches. Because calmodulin reduced the time constants contained in the
NMDA receptor supercluster duration distributions, it follows that
binding of calmodulin to the receptor will shorten the synaptic current.
To investigate this, macroscopic averaged currents were generated by
the alignment of superclusters. In the presence of calmodulin, the
decay time course was shortened, and the mean charge passed by the
ensemble current was reduced. These results suggest that calmodulin
will affect the role of the NMDA receptor in the computational aspects
of neuronal function. Shortening of the NMDA EPSC by calmodulin will
reduce the critical time period for temporal and spatial summation of
synaptic inputs, their transmission to the axon hillock, and their
interaction with back-propagating action potentials (Markram et al.,
1997 ). This could alter the ability of two or more synchronized
synaptic inputs to initiate action potentials. Inhibition of the NMDA
synaptic current by calmodulin will reduce the interaction of
presynaptic and postsynaptic activity and thus alter integration of
synaptic activity. It has been shown that to strengthen the association
of presynaptically evoked synaptic currents and postsynaptic action
potentials in the dendritic tree, the two inputs must coincide within
100 msec in the neocortex (Markram et al., 1997 ). Considering that
calmodulin shortens the decay of the EPSC, the time window for this
form of integration would be reduced and fine-tuned by calmodulin.
The effect of calmodulin on NMDA receptor-mediated synaptic currents
in vivo will depend on a number of factors. Phosphorylation of sites within the NR1 subunit C1 region by PKC (Leonard and Hell,
1997 ; Tingley et al., 1997 ) has been shown to alter calmodulin binding
(Hisatsune et al., 1997 ). The ratio of phosphorylated/dephosphorylated NMDA receptors will also depend on the level of calcineurin activity. Because both PKC and calcineurin are calcium-dependent enzymes, their
balance of activity will be determined by the intracellular calcium
concentration (Mosior and Epand, 1994 ) and their respective activation
and inactivation rates. In addition, the low-affinity calmodulin
binding C0 region on the NR1 subunit of the NMDA receptor has been
shown to contribute to calcium-dependent inactivation of whole-cell
currents (Rafiki et al., 1997 ; Zhang et al., 1998 ; Krupp et al., 1999 ).
Calmodulin bound to this second region on the NR1 subunit may therefore
exert additional effects on NMDA channel kinetics and thus also alter
the synaptic current. However, this latter point is complicated by
competition for occupation of the NR1 subunit C0 region by the
calcium-dependent, cytoskeletal protein -actinin-2 (Zhang et al.,
1998 ; Krupp et al., 1999 ).
The reduction in mean NMDA channel open time and number of openings per
supercluster observed in the presence of a nanomolar concentration of
calmodulin leads to a reduction in supercluster duration and total open
time per supercluster. This causes a reduction in the mean charge
passed by the NMDA receptor during a single activation. Overall,
therefore, calmodulin-dependent NMDA receptor inactivation appears to
serve two functions: shortening of the NMDA EPSC and attenuation of
calcium influx through the NMDA receptor. The combination of these two
processes will serve to modulate and fine-tune processes, such as
synaptic plasticity, synaptic integration, and, therefore, neuronal computation.
 |
FOOTNOTES |
Received April 9, 2002; revised July 30, 2002; accepted July 31, 2002.
This work was supported by the Medical Research Council and the
Wellcome Trust. We thank David Colquhoun for providing software.
Correspondence should be addressed to Dr. A. J. Gibb, Department
of Pharmacology, University College London, Glower Street, London WC1E
6BT, UK. E-mail: a.gibb{at}ucl.ac.uk.
 |
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