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The Journal of Neuroscience, August 1, 1999, 19(15):6257-6266
Contributions of Residual Calcium to Fast Synaptic
Transmission
Chinfei
Chen and
Wade G.
Regehr
Department of Neurobiology, Harvard Medical School, Boston,
Massachusetts 02115
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ABSTRACT |
Fast neurotransmitter release is driven by high calcium (10-100
µM) near open channels (Calocal),
followed by a much smaller (<1 µM), longer-lasting
residual calcium (Cares). The most prominent component of release, phasic release, lasts several milliseconds and is
thought to be triggered by Calocal. A transient tail of release then continues over the next 20 msec at 1-10% of peak rates.
This transient component of release, which we refer to as TR, is poorly
understood, and there is conflicting evidence regarding the role of
Calocal and Cares in its generation. We used
optical methods to monitor Cares and whole-cell
voltage-clamp recordings to study TR at synapses between granule cells
and stellate cells in rat cerebellar slices. After stimulation the
probability of release is elevated greatly, peaking at 500 µsec and then slowly declining to prestimulus levels after tens of
milliseconds. After speeding the decay of Cares levels with
EGTA, release is confined to a 3 msec interval, and TR is eliminated.
Thus, we find that Cares accounts for a transient tail of
release on the millisecond time scale that helps to shape the average
synaptic current and accounts for at least 20% of the synaptic charge
in the 20 msec interval after stimulation. Cares-dependent
TR is likely to contribute significantly to fast synaptic transmission
under physiological conditions, particularly during high-frequency
bursts that elevate Cares.
Key words:
phasic release; delayed release; synaptic transmission; residual calcium; EPSC time course; cerebellum; granule cell; stellate
cell
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INTRODUCTION |
After action potential invasion,
peak rates of neurotransmitter release are often
>105 times the basal rates of spontaneous release
(Magleby, 1987 ) and last only several milliseconds; this component of
release often is referred to as phasic release. By tens to hundreds of milliseconds after action potential invasion, release still continues but at a much lower rate, typically 0.01-1% of peak rates. Such prolonged release is known as delayed release (DR) (Miledi and Thies,
1971 ; Barrett and Stevens, 1972 ; Rahamimoff and Yaari, 1973 ; Zucker and
Lara-Estrella, 1983 ; Cohen and Van der Kloot, 1986 ; Van der Kloot and
Molgo, 1994 ). At intermediate times the release rates are 1-10% of
peak rates; for convenience we will refer to this phase of release
(from 3 to 20 msec after the onset of release) as transient release
(TR). TR helps to shape the EPSC (Van der Kloot, 1988 ) and contributes
to a significant fraction of the total synaptic charge delivered to a
postsynaptic cell, thereby prolonging the influence of a presynaptic
cell on the firing of its targets. Although TR has been observed at
many types of synapses (Katz and Miledi, 1964 , 1965 ; Diamond and Jahr,
1995 ; Isaacson and Walmsley, 1995 ), the factors governing this
component of release remain poorly understood.
To determine the mechanism underlying TR, we focused on the possible
role of presynaptic calcium. When an action potential invades a
presynaptic bouton, it opens calcium channels, giving rise to a locally
high calcium signal (10-100 µM) near open channels (Calocal) (Chad and Eckert, 1984 ; Fogelson and
Zucker, 1985 ; Simon and Llinás, 1985 ; Roberts et al., 1990 ;
Matthews, 1996 ). As the calcium equilibrates throughout the bouton, a
much smaller (<1 µM), longer-lasting residual calcium
signal persists (Cares) (Delaney et al., 1989 ;
Regehr and Atluri, 1995 ; Feller et al., 1996 ; Helmchen et al., 1997 ;
Ravin et al., 1997 ). It has been shown that phasic release is triggered
by Calocal (Adler et al., 1991 ; Schweizer et al., 1995 ;
Matthews, 1996 ), whereas delayed release is driven by Cares
(Delaney et al., 1989 ; Van der Kloot and Molgo, 1993 ; Cummings et al.,
1996 ; Ravin et al., 1997 ; Atluri and Regehr, 1998 ). However, the
relationship between presynaptic calcium and TR is unclear. Two
mechanisms involving presynaptic calcium could account for TR. The
first possibility is that TR is primarily a reflection of a
calcium-dependent process with slow kinetics driven by
Calocal, with no Cares contribution. The
alternative possibility is that Cares contributes to TR in
the same manner that it drives DR.
There is conflicting evidence regarding the role of Cares
in TR. Arguments against Cares involvement emphasize the
difficulty in reconciling the known calcium dependence of release with
a role for Cares. In granule cells several milliseconds
after action potential invasion, Cares levels are only a
few hundred nanomolars (Regehr and Atluri, 1995 ), which is well below
the 10-100 µM threshold thought to be required to obtain
significant rates of release (Fogelson and Zucker, 1985 ; Simon and
Llinás, 1985 ; Roberts et al., 1990 ; Heidelberger et al., 1994 ).
Furthermore, the rates of DR after single stimuli are typically
thousands of times smaller than peak release rates. These results
suggest that Cares-driven release may not contribute
significantly to the EPSC. On the other hand, recent observations
support a possible role for Cares in TR. Introduction of
relatively low concentrations of the slow calcium chelator EGTA, which
affects Cares much more than Calocal, reduces phasic neurotransmitter release at the calyx of Held (Borst and
Sakmann, 1996 ). Moreover, our previous studies suggest that accelerating Cares decay may speed the decay of synaptic
currents (Atluri and Regehr, 1998 ). These observations suggest
Cares may play a role in TR.
Although it has been proposed previously that Cares could
contribute to release on rapid time scales, there is little direct information on the contribution of Cares to TR (Magleby,
1987 ). Most previous studies have focused on the hundreds of
milliseconds to seconds after brief trains of presynaptic activity
(Hubbard, 1963 ; Miledi and Thies, 1971 ; Erulkar and Rahamimoff, 1978 ;
Zengel and Magleby, 1981 ; Zucker and Lara-Estrella, 1983 ; Ravin et al., 1997 ). DR also has been examined after single stimuli, but typically these studies focused on longer time scales and were not designed to
provide information on the tens of milliseconds time scale (Barrett and
Stevens, 1972 ; Van der Kloot and Molgo, 1993 ; Goda and Stevens, 1994 ;
Atluri and Regehr, 1998 ).
We tested the involvement of Cares in TR at synapses
between granule cells and stellate cells in rat cerebellar slices. By using low stimulus intensities, we were able to detect quantal events
and determine the release probability as a function of time after
stimulation. In response to low-frequency stimulation the probability
of release is elevated transiently, peaks 500 µsec later, and then
slowly declines to prestimulus levels. After speeding the decay of
Cares, release was confined to a 3 msec interval,
and later release events were eliminated. These results indicate that
Cares-sensitive release helps to shape the EPSC and
contributes a significant fraction of the total synaptic charge.
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MATERIALS AND METHODS |
Electrophysiology. Transverse slices (300 µm) from
the cerebellar vermis of postnatal day (P) P14-P19 rats (Harlan,
Indianapolis, IN) were cut as described previously (Konnerth et al.,
1990 ; Atluri and Regehr, 1998 ). Slices were maintained in an oxygenated
(95% O2/5% CO2) external
solution containing (in mM): 125 NaCl, 2.5 KCl, 2.6 NaHCO3, 1.25 NaH2PO4,
25 glucose, 2 CaCl2, and 1 MgCl2. The
external recording solution also contained 20 µM
bicuculline (Sigma, St. Louis, MO) and 100 µM AP5
(2-amino-5-phosphonopentanoic acid; Research Biochemicals, Natick, MA).
In experiments involving low calcium, the external solution contained 1 mM Ca and 2 mM Mg. EGTA-acetoxymethyl ester
(AM; Molecular Probes, Eugene, OR) was dissolved in dimethyl sulfoxide
(DMSO) and used as previously described (Atluri and Regehr, 1996 ). The
0.1% DMSO does not affect evoked or spontaneous miniature EPSCs
(mEPSCs) (Atluri and Regehr, 1996 ). Furthermore, cleavage of the
acetoxymethyl ester, alone, does not affect synaptic transmission,
because visibly labeling a slice with BCECF-AM (100 µM
for 20 min), a dye that does not bind calcium, does not alter the time
course of release (n = 3; data not shown). Whole-cell
patch-clamp recordings of stellate cells (2-2.5 M electrodes) were
obtained under visual guidance (Atluri and Regehr, 1998 ). The internal
solution contained (in mM): 35 CsF, 100 CsCl, 10 EGTA, 10 HEPES, and 0.1 D600, pH 7.4. Parallel fibers were stimulated with two
glass electrodes placed in the molecular layer several hundred
micrometers from the recording electrode. The intervals between evoked
trials (6 and 2 sec for experiments at 24 and 34°C, respectively) did
not facilitate synaptic currents. In the experiments of Figure 1 the
stimulus intensity was maintained at the same amplitude. In all other
experiments our goal was to detect individual quantal events;
therefore, the stimulus intensity was adjusted such that 30-50% of
the trials were failures and, on average, 0.5-1.5 quanta were evoked
per trial. EPSCs were measured at 70 mV.
Data analysis. Stimulus-evoked currents were filtered at 5 kHz with a four-pole Bessel filter and digitized at 20-50 kHz. Quantal
events were detected and analyzed off-line with IGOR PRO software
(WaveMetrics, Lake Oswego, OR) and custom macros. Then the first and
second derivatives were computed, and quanta were detected on the basis
of threshold crossings of first and/or second derivatives. The second
derivative provides a more reliable means of detecting two closely
spaced events but is also more sensitive to noise and to changes in the
quality of the recording. Thus, experiments in which the access changed
appreciably during the course of the experiment were found to be
unreliable with regard to mEPSC detection and were not included for
analysis. We estimate that >90% of all evoked quanta are detected in
our experiments at 24°C on the basis of (1) our small number of
events per trial, (2) manual inspection, and (3) comparisons of average
EPSCs and probability histograms convolved with the average waveform of the quantal events.
Average quantal events were determined from the trials in which only a
single event was detected. These events were aligned on the basis of
the peak of their second or their first derivative and then used to
compute the average quantal event, as in Figure 2B.
The average failure (events in which there was no quantal event) was
used to correct evoked synaptic currents to eliminate the stimulus
artifact and prespike. Bin size in all probability histograms is 100 µsec.
Measurement of Cares. Presynaptic boutons of the
cerebellar granule cells were labeled with magnesium green-AM
(Molecular Probes), as previously described (Regehr and Tank, 1991 ;
Regehr and Atluri, 1995 ). Briefly, a local application of a magnesium green-AM solution was delivered to a small region of the molecular layer. The dye was taken up by cells in the load site and diffused down
the parallel fibers into the presynaptic boutons of the cerebellar granule cells over 1-2 hr. Fluorescence was measured from a 50-70 µm spot size-positioned 400-700 µm away from the load site to avoid contaminating signals from the dendritic processes of other cells
at the load site. Because, by volume, the parallel fibers consist
almost entirely of presynaptic boutons (Palay and Chan-Palay, 1974 ),
this fluorescence measurement provides an aggregate measure of the
response of many synchronously activated boutons.
The photodiode used in these measurements responded to step changes in
intensity with a time constant of 50 µsec. Signals were filtered at
10 kHz with an eight-pole Bessel filter and digitized at 50 kHz. The
fluorescence filter set used for magnesium green was 450-490 nm
excitation, FT510 dichroic, and LP520 emission. The stimulus intensity
was not changed during optical experiments.
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RESULTS |
The timing of fast neurotransmitter release was examined at
synapses between granule cells and stellate cells in rat cerebellar slices. This preparation offers several advantages: (1) in the presence
of bicuculline there is no recurrent excitation or inhibition of local
circuits (Palay and Chan-Palay, 1974 ); (2) stellate cells are small,
electrically compact, and readily voltage-clamped (Barbour et al.,
1994 ); (3) mEPSCs are large, rapid, and easily detected; (4) evoked
EPSCs can be studied with minimal interference from spontaneous mEPSCs,
which occur at very low frequency; and (5) it is possible to detect
presynaptic calcium transients from granule cell parallel fibers.
To determine whether the quantal events that underlie the fast EPSC
depend on residual presynaptic calcium levels
(Cares), we used EGTA to manipulate
Cares. Introducing EGTA into presynaptic terminals is an
ideal way of perturbing Cares (Adler et al., 1991 ; Swandulla et al., 1991 ; Winslow et al., 1994 ; Atluri and Regehr, 1996 ,
1998 ; Naraghi and Neher, 1997 ). EGTA has little effect on Calocal because it binds calcium slowly (Smith et al.,
1984 ). However, because of its high affinity, it binds calcium
effectively on longer time scales, thereby speeding the decay of
Cares. These properties of calcium binding have established
EGTA as an important tool in the study of calcium in synaptic
transmission and have allowed us virtually to eliminate
Cares while minimally perturbing Calocal.
Previously, we have used EGTA to examine DR and facilitation at this
synapse (Atluri and Regehr, 1998 ).
An example of the effect of EGTA on Cares is shown in
Figure 1A. To monitor
Cares, we loaded granule cell terminals with the low-affinity calcium-sensitive fluorophore, magnesium green (Atluri and
Regehr, 1996 ; Zhao et al., 1996 ). Because granule cell presynaptic boutons are small (<1 µm in diameter), calcium gradients dissipate rapidly (Palay and Chan-Palay, 1974 ; Sabatini and Regehr, 1998 ). Therefore, several milliseconds after stimulation the normalized changes in magnesium green fluorescence
( F/F) provide a good estimate of
Cares dynamics (Atluri and Regehr, 1996 , 1998 ). In control
conditions a single stimulus increases Cares within
milliseconds, and then Cares returns to resting levels in
several hundred milliseconds (Fig. 1A, right). After
the cerebellar slice is exposed to a membrane-permeant form of EGTA
(EGTA-AM; 100 µM), presynaptic magnesium green
F/F signals decay rapidly (a half-decay time
of 1.8 msec as compared with 24 msec for control), whereas peak
F/F signals are reduced only slightly (16%
reduction). Although these fluorescence measurements do not allow us to
measure Calocal, the reduction in peak
F/F (reduced by 16 ± 2%;
n = 5) provides an upper bound of the effect of EGTA on
Calocal (Winslow et al., 1994 ).

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Figure 1.
EGTA-AM accelerates the decay of
Cares and affects the EPSC. A, Peak
amplitudes (filled circles) and half-decay times
(open circles) of magnesium green fluorescence
( F/F) transients were monitored
during the addition of 100 µM EGTA-AM into the bath
solution (left). Time 0 indicates the
onset of EGTA application (black bar). Average calcium
transients before (thin trace) and after (bold
trace) loading with EGTA are superimposed in the
right. Each trace is the average of 20 trials.
B, Left, The time course of the peak EPSC
during bath exposure to 100 µM EGTA-AM. Each
point represents the average value of 10 consecutive
peak measurements. B, Right, Superimposed average
current traces are shown before (thin trace) and after
(bold trace) EGTA application. The synaptic currents are
normalized to their respective peak amplitude in the far
right to demonstrate the acceleration of the time course of the
EPSC waveform after exposure to EGTA. Calcium measurements
(A) and synaptic currents
(B) were obtained from two different
experiments.
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Manipulation of presynaptic calcium transients with EGTA-AM also
affects evoked synaptic currents. The application of 100 µM EGTA-AM decreased the amplitude of the evoked synaptic
current by 26% (Fig. 1B). The average reduction in
synaptic currents in such experiments was 39 ± 7%
(n = 5). This is consistent with a previous report at
the calyx of Held that indicated that release was sensitive to EGTA
introduced in the presynaptic terminal (Borst and Sakmann, 1996 ). We
also found that EGTA accelerated the decay of the synaptic current, as
is apparent by comparing the normalized synaptic currents in control
conditions and after EGTA introduction (Fig. 1B,
right). This effect on the time course of the EPSC was interesting
because EGTA appeared to be altering the EPSC in a way that was
consistent with a reduction in TR. However, the effect was often
subtle, and thus it was difficult to exclude contributions from
postsynaptic effects such as series resistance errors.
We therefore refined our approach by stimulating the granule cell
parallel fibers at an intensity that elicited, on average, <1.5 quanta
per trial. This enabled us to explore the slow decay phase of the
evoked EPSC by resolving the unitary events that constitute the evoked
EPSC. We refer to this stimulus as "low-intensity stimulation,"
because multiple presynaptic inputs are activated, in contrast to
"minimal stimulation," in which a single presynaptic input is
activated. Ten consecutive trials are shown in Figure 2A to illustrate the
response to low-intensity stimulation. As shown in these representative
traces, many trials were failures; that is, there were no synaptic
events in response to parallel fiber stimulation. In other trials a
small number of quanta were evoked with variable latency.

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Figure 2.
The quantal events underlying the evoked
EPSC. A, Ten consecutive trials showing representative
responses to low-intensity stimulation at 0.17 Hz. Traces have been
displaced by 200 pA. B, Superimposed quantal events
(153) that were used to determine the average quantal event.
Inset, Amplitude histogram of the quantal events.
Detection of the quantal events is described in Materials and Methods.
C, The average EPSC produced by low-intensity parallel
fiber stimulation (bold trace; 873 trials, 0.17 Hz). The
average response (computed as described in Materials and Methods) is
aligned to the peak of the average evoked quantal event (thin
trace). The time scale in A and C
is the same. The scale bar corresponds to 10 pA for the average
synaptic current and to 29 pA for the average quantal event.
D, Normalized traces of the evoked EPSC
(bold) and average quantal response
(thin) are inverted and plotted on a semilogarithmic
scale to compare their time courses of decay. The average quantal event
is larger than the average EPSC because of failures and
asynchrony.
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Superimposed quantal events from a single experiment, obtained from
trials in which only a single event was detected, are shown in Figure
2B. A plot of the amplitude histogram of the quantal events clearly demonstrates that the amplitudes of the quantal events
are variable in size and well above the noise threshold for event
detection (Fig. 2B, inset). Thus we are
confident that we can detect the majority of quantal events elicited by
low-intensity stimulation.
The average synaptic current produced by such stimulation is shown in
Figure 2C. The EPSC (bold trace) begins 1.9 msec after stimulation and reaches its peak 1.5 msec later. The average
quantal event (thin trace) has been scaled to show that the
rise and decay times of the quantal events are faster than those of the
average evoked EPSC; this is seen more clearly in the semilogarithmic plot of Figure 2D. Notably, the decay phase of the
EPSC is poorly fit by a single exponential, but it is well approximated
by a double exponential decay (Fig. 2D;
fast = 1.15 msec and slow = 4.5 msec). slow does not reflect a slow decay phase of the quantal event, which returns to 2% of peak values with a single exponential decay ( = 680 µsec). This is consistent with
studies showing that asynchrony of release helps to shape the time
course of the synaptic current (Katz and Miledi, 1964 ; Diamond and
Jahr, 1995 ; Isaacson and Walmsley, 1995 ).
Superimposed traces from hundreds of trials are displayed on the same
time scale as the average synaptic current in Figure 3, A and B. We
concentrate on the first 20 msec of release, which includes both the
phasic and transient release and commonly is taken to correspond to
fast synaptic transmission (Goda and Stevens, 1994 ). A raster plot of
the latency of quantal events for each trial shows that the timing of
neurotransmitter release is stochastic and reveals that many events
occur well after the peak of the ensemble EPSC (Fig. 3C).
The latency histogram obtained from the raster plot is a measure of the
probability of release (Fig. 3D). For ~3 msec the release
rates are high; then they decline but persist above background rates
for tens of milliseconds. The cumulative latency histogram (Fig.
3E), which is the integral of the latency histogram in
Figure 3D normalized to the total release in the 20 msec
after the onset of the EPSC, provides a convenient way of presenting
the fraction of release that has occurred by a given time. As shown in
this plot, ~50% of the total release has occurred before the peak of
the EPSC. By 5 msec after the stimulus the synaptic charge has reached
~80% of the total charge, indicating that the transient tail of
release accounts for ~20% of the total synaptic charge.

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Figure 3.
Determination of the time course of release
probability. Shown are superimposed traces of the 873 consecutive
trials (B) that contribute to the average EPSC
(A). Same experiment as in Figure 2. Raster plot
of the latency of detected quantal events for each trial
(C), corresponding latency histogram
(D), and the cumulative latency histogram
(E). All traces are plotted on the same time
scale and aligned to the time of stimulation
(arrowhead). Stimulus artifacts are blanked for
clarity.
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Therefore, neurotransmitter release at the granule cell to
stellate cell synapse shares many features with release at other synapses (Katz and Miledi, 1964 ; Diamond and Jahr, 1995 ; Isaacson and
Walmsley, 1995 ). The asynchrony of release on the milliseconds time
scale results in an average evoked EPSC that has a substantially slower
rise time and decay time than the average quantal event. More relevant
to this study, however, is the presence of a transient tail of
release that persists long after the peak of the EPSC. To determine the
role of presynaptic calcium in the transient tail of release, we
examined the effects of different manipulations of presynaptic calcium
on TR.
The effects of EGTA-AM on fast neurotransmitter release
We first studied the effect of EGTA on the time course of evoked
synaptic transmission. Figure
4B shows superimposed
normalized traces of the average evoked current before (thin
trace) and after (bold trace) EGTA introduction. It is
clear that EGTA eliminates the transient tail of the EPSC waveform. The
decay time course of the EPSC now can be fit with a single exponential
( = 1 msec). To evaluate the quantal release underlying the
EPSC, we superimposed consecutive trials before and after introducing
EGTA (Fig. 4C, top and bottom,
respectively). EGTA eliminates late quantal events. The raster plot
shows that, after loading with EGTA, 99% of release occurs within a 3 msec interval (Fig. 4D). A comparison of the latency
histograms in control conditions and after loading with EGTA-AM reveals
that TR has been eliminated (Fig. 4E). Superimposed cumulative latency histograms from the two data sets, normalized to the
total release in the 20 msec after the onset of release, show that the
EGTA-AM-sensitive transient tail of fast neurotransmitter release
comprises 18% of the total synaptic charge (Fig.
4F). These effects are not attributable to changes in
the time course of the quantal events (control = 700 µsec;
EGTA = 670 µsec) or to changes in the width of the
presynaptic volley (n = 3). Moreover, high
concentrations of EGTA in the recording pipette solution exclude
possible postsynaptic effects. Thus, EGTA accelerates Cares
decay, which in turn eliminates late release events, thereby speeding
the EPSC decay.

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Figure 4.
EGTA-AM eliminates late evoked quantal events.
A, Comparison of magnesium green
F/F signals before (thin
trace) and after loading with 100 µM EGTA-AM
(bold trace) on a fast time scale. B,
Average EPSCs in control conditions (thin trace) and
after EGTA-AM (bold trace). EPSCs are normalized to the
respective peak currents. C, Superimposed plots of 340 consecutive evoked trials each, recorded in control conditions and
after loading with EGTA. D, Raster plot of evoked
quanta. Stimulus intensity was increased from 19 to 23 µA after
EGTA-AM application wash-in (black bar) to maintain an
average of 0.5-1.5 quanta per trial. E, Latency
histograms for control conditions and after EGTA-AM application.
F, Superimposed cumulative latency histograms for
control (thin line) and EGTA (thick line) data.
Calcium measurements (A) and synaptic physiology
(B-F) were obtained from two different
experiments. All traces are on the same time scale. The relative timing
of calcium influx (A) and the evoked EPSCs
(B-F) was adjusted according to Sabatini and
Regehr (1998) . B-F are all aligned to the beginning of
the stimulus (arrowhead in E). Vertical
scale bars: A, 3.4%; B, 20 pA for
control and 22.7 pA for EGTA; C, 100 pA;
E, 0.04 events per trial.
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The effects of lowering calcium on the timing of fast
neurotransmitter release
Although the most obvious effect of EGTA is to accelerate the
decay of Cares, it also reduces peak
F/F signals and also may decrease
Calocal. We therefore compared the effects of EGTA with those produced by decreasing external calcium concentration
(Cae). Lowering Cae from 2 to 1 mM decreased peak F/F signals
without altering the time course of Cares (Fig.
5A). Given the much larger effect of low Cae on peak F/F
signals (61% of control in low Cae as compared with 84%
of control in EGTA), we conclude that 1 mM Cae
has a much larger effect on Calocal than does EGTA.
Lowering Cae did not affect the time course of the average
EPSC (Fig. 5B). The superimposed trials (Fig.
5C), the raster plot (Fig. 5D), the release
histograms (Fig. 5E), and the cumulative latency histograms (Fig. 5F) indicate that the timing of release is not
altered in 1 mM Cae. Thus, a large decrease in
Calocal does not affect the time course of release.

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Figure 5.
Low external calcium reduces peak calcium levels
but does not alter the time course of Cares or
neurotransmitter release. A, Comparison of magnesium
green F/F signals in 2 mM
Cae (thin trace) and 1 mM
Cae (bold trace). Each trace is the average
of 20 trials. B, Average EPSCs in 2 mM
Cae (thin trace) and in 1 mM
Cae (bold trace). EPSCs are normalized to
their respective peak currents. C, Plots of 360 consecutive evoked trials each, recorded in 2 mM
Cae and in 1 mM Cae.
D, Raster plot of evoked quanta. Stimulus intensity was
increased from 7 to 9 µA after switching to 1 mM
Cae (indicated by the black bar) to maintain
an average of 0.5-1.5 quanta per trial. E, Latency
histograms for 2 mM Cae and 1 mM
Cae. F, Superimposed cumulative latency
histograms in 2 mM Cae (thin
line) and 1 mM Cae (thick
line) data. Calcium measurements (A) and
synaptic physiology (B-F) were obtained from two
different experiments. All traces are on the same time scale as
described in Figure 4. Vertical scale bars: A, 2.4%;
B, 8 pA for control and 14.8 pA for low
Cae; C, 90 pA; E, 0.03 events per trial.
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Summary comparison of calcium manipulations
A summary of the time course of neurotransmitter release is shown
in Figure 6 for control conditions
(n = 15), after loading with EGTA (n = 10), and in low Cae (n = 5). In the lower
graphs the traces are superimposed for comparison. Comparison of the cumulative probability histograms demonstrates that the fraction of
release that occurs within 3 msec after the onset of release is 80 ± 1% for control conditions, 97 ± 1% after loading with EGTA,
and 80 ± 3% in low Cae (Fig. 6A).
There is a transient tail of release in control conditions and in low
Cae, but not after loading with EGTA. This also is
seen clearly in the semilogarithmic plots of the time course of release
(Fig. 6B). For control conditions and in low
Cae the decay phase of release is well approximated by a
double exponential ( fast ~1 msec and
slow ~10-15 msec). In contrast, after loading with
EGTA, a single exponential ( = 640 µsec) is sufficient to
describe the decay phase of release. Thus, Cares plays a
significant role in shaping the fast synaptic current by driving a
transient tail of release (TR).

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Figure 6.
The effects of calcium manipulations on
the time course of release. A, Summary cumulative
probability histograms in control conditions (n = 15), after loading with 100 µM EGTA-AM
(n = 10), and in 1 mM Cae
(n = 5). The dotted horizontal line
corresponds to 100% of the events in the 20 msec after the onset of
release. B, Semilogarithmic plot of the normalized
probability histograms, which are calculated by differentiating the
corresponding cumulative probability histogram and normalizing to peak
rates of release. In the bottom panel the averaged
traces for the three different conditions are superimposed. Error bars
represent ± SEM. Vertical scales are shown on the
right of each row.
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The effects of residual calcium at high temperatures
The experiments described above illustrate a prominent
contribution of residual calcium to fast neurotransmitter release. These studies were performed at 24°C because of the ease of recording from stellate cells for long times at room temperature (up to 3 hr). We
also performed experiments at 34°C to determine whether residual
calcium is likely to contribute to the EPSC under more physiological
conditions (Fig. 7). As expected, all
aspects of synaptic transmission were faster at 34 than at 24°C.
Discrimination of multiple events is more difficult at 34°C, because
release is confined to a very narrow window of time. Consequently,
experiments performed at 34°C only provide a qualitative description
of release. However, the basic effect of EGTA on
Cares, the evoked EPSC, and the duration of release
was qualitatively similar at 34°C (n = 5) and 24°C
(compare with Fig. 4). Therefore, the Cares-sensitive component of release is likely to be important under physiological conditions.

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Figure 7.
EGTA accelerates the decay of Cares
and eliminates late evoked quantal events at 34°C. Shown is the
effect of introducing EGTA into presynaptic boutons on
Cares and synaptic physiology at 34°C. Same format as
Figure 4. In all, 180 and 225 trials contributed to the analysis in
control conditions and after the loading with EGTA, respectively.
Vertical scale bars: A, 2.4%; B, 30 pA
for control and EGTA; C, 105 pA; E, 0.12 events per trial.
|
|
 |
DISCUSSION |
Our principal finding is that residual calcium plays an important
role in synaptic transmission immediately after action potential invasion of presynaptic boutons. Previously, it had been established that Cares was involved in processes on longer time scales,
such as facilitation, post-tetanic potentiation, calcium-dependent recovery from depression, and delayed release of neurotransmitter (Stanley, 1986 ; Magleby, 1987 ; Delaney et al., 1989 ; Kandel et al.,
1991 ; Swandulla et al., 1991 ; Nicholls et al., 1992 ; Kamiya and Zucker,
1994 ; Van der Kloot and Molgo, 1994 ; Zucker, 1994 ; Atluri and Regehr,
1996 ; Dittman and Regehr, 1998 ; Stevens and Wesseling, 1998 ; Wang and
Kaczmarek, 1998 ). However, it was much more difficult to establish a
role for Cares on shorter time scales. Here, by combining
low-intensity stimulation to resolve individual quantal events with
measurements and manipulations of presynaptic Cares,
we experimentally demonstrate that Cares controls release just milliseconds after stimulation. Our studies establish that the
release we see 3-20 msec after the onset of the EPSC is eliminated by
EGTA and is not attributable to a slow process solely triggered by
Calocal.
Implications for the calcium dependence of release
Our findings have important implications for the calcium
dependence of synaptic transmission. Previously, it has been difficult to determine whether Cares can drive release at sufficient
rates to contribute to the EPSC. Studies of the calcium dependence of release at goldfish bipolar neurons showed that release is steeply calcium-dependent and that significant release rates are not observed until calcium levels are 10 µM (Heidelberger et al.,
1994 ). If we assume that release at granule cell synapses has a similar calcium dependence of release as goldfish bipolar neurons, at first
glance there appears to be a fundamental inconsistency. Our results
show significant release rates, up to 10% of peak rates, when calcium
levels are submicromolar. It is possible, however, to reconcile these
results by taking into account our previous studies of delayed release
(Atluri and Regehr, 1998 ). We have shown previously that DR at the
granule to stellate cell synapse in the 1 sec after stimulation
consists of two components, one steeply dependent on Cares
and the other linearly dependent on Cares (Atluri and
Regehr, 1998 ) (see also Fig. 8). The rate of release associated with the linearly dependent component is much too
small to account for TR. However, based on similarities in their
Cares sensitivities, time courses, and magnitudes, the steeply Cares-dependent components of DR and TR appear to
share the same mechanism. Our earlier study demonstrated that the
steeply Cares-dependent component of DR has an interesting
feature: Cares is more effective in driving release when it
is preceded by a high Calocal signal. This feature suggests
that, when preceded by Calocal, submicromolar levels
of Cares can trigger the significant rates of release
observed in TR, whereas the same concentrations of
Cares, alone, cannot.

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|
Figure 8.
Rates of quantal release in the 1 sec after a
single stimulus. Semilogarithmic plot of the normalized probability of
release in the 1 sec after stimulation. The continuous plot for this
time interval was determined by splicing together the release rates
shown in the inset. Inset, The normalized
probability of release in the 50 msec after stimulation from the
present study (dots; average of 15 experiments) and in
the 10-1000 msec after stimulation [line; average of
28 experiments, adapted from Atluri and Regehr (1998) ]. The 10-1000
msec data were scaled to align as shown.
|
|
Implications for EGTA sensitivity of transmission at mammalian and
squid synapses
Our findings also help to clarify the differences between the
squid giant synapse and synapses in the mammalian CNS in their response
to EGTA. The introduction of high concentrations of EGTA presynaptically does not affect synaptic transmission at the squid giant synapse (Adler et al., 1991 ), whereas a similar concentration of
BAPTA profoundly reduces synaptic transmission. The differential effects on transmission of these two calcium chelators are attributed to differences in their kinetics, with BAPTA binding calcium over 100 times faster than EGTA. These observations indicate that, at the squid
giant synapse, release is driven by a very large calcium signal (>100
µM) that is highly localized. In contrast, EGTA depresses
transmission at the rat calyx of Held (Borst and Sakmann, 1996 ) and at
the granule to stellate cell synapse, indicating that release at these
synapses is fundamentally different from in squid. An explanation that
accounts for these observations is that, at mammalian synapses, release
at single sites is driven by calcium influx through multiple calcium
channels; this is referred to as the overlapping domain model
(Augustine et al., 1991 ; Takahashi and Momiyama, 1993 ; Wu and Saggau,
1994 ; Mintz et al., 1995 ; Randall and Tsien, 1995 ; Borst and Sakmann,
1996 ). According to this view, some of the calcium channels are
sufficiently far from the release site that EGTA can bind calcium
before it reaches the release site.
The overlapping domain model can account for the effect of EGTA on peak
release, but it does not account for the effect of EGTA on the time
course of release. Whether release is driven by single calcium channels
or by multiple calcium channels, the Calocal that triggers
release does not persist long after the calcium channels close (Chad
and Eckert, 1984 ; Fogelson and Zucker, 1985 ; Simon and Llinás,
1985 ; Roberts, 1994 ). Our results demonstrate, however, that a
component of release persists well after calcium channels close and
Calocal has dissipated; this component is driven by
Cares. Therefore, it is also necessary to consider this
Cares-driven component to account for the effects of EGTA.
Our results suggest that differences in Cares at these
synapses, combined with the sensitivity of release to
Cares, also contribute to the differential effects
of EGTA in squid and mammalian synapses. After single stimuli the
changes in Cares are small at the squid giant synapse because calcium diffuses into the vast presynaptic terminal (Smith et
al., 1993 ). In contrast, at the smaller presynaptic boutons of the
mammalian CNS, Cares increases by several hundred
nanomolars (Helmchen et al., 1997 ), a range that we have shown can
influence release. Thus we conclude that EGTA sensitivity of release at mammalian synapses arises, in part, from release being driven by
overlapping calcium domains and in part by a
Cares-sensitive component of release that is prominent in
mammalian synapses in which Cares is large.
It is likely that Cares also contributes to release on
rapid time scales at other synapses in the mammalian CNS. Such synapses generally have a high calcium channel density and small volume (Regehr
and Atluri, 1995 ; Borst and Sakmann, 1996 ; Helmchen et al., 1997 ). As a
result, stimulus-evoked changes in Cares are several
hundred nanomolars, similar to what we estimate for parallel fiber
presynaptic boutons.
Physiological significance of residual calcium
Although the effect on the average synaptic current is subtle,
Cares-sensitive release is likely to be important under
physiological conditions. Although we have focused on the first 20 msec
after the onset of release, a time domain relevant to the EPSC,
elevated levels of transmitter release continue for hundreds of
milliseconds (Atluri and Regehr, 1998 ). When combined with previous
results (Atluri and Regehr, 1998 ), our findings provide a more complete description of the time course of neurotransmitter release after single
stimuli at a mammalian synapse. In the earlier study the focus was on
tens to hundreds of milliseconds after stimulation, and very large
stimulus intensities were needed to evoke sufficient events for
analysis. In contrast, here we use low intensities suited to examine
release on short time scales. By combining these results, it is
possible to quantify the release rates as a function of time in the 1 sec after stimulation, as shown in Figure 8. Of the quantal events
evoked by single stimuli, 66% occur within the initial 3 msec
interval, and the remaining 34% of the events occur at later times and
require elevated Cares. Therefore, we show that
Cares drives a significant fraction of synaptic charge transfer. Furthermore, although we have concentrated on
low-frequency stimulation, the contribution of Cares
probably is enhanced during high-frequency trains (10-100 Hz) that
elevate Cares.
 |
FOOTNOTES |
Received April 2, 1999; revised May 10, 1999; accepted May 11, 1999.
This work was supported by National Institutes of Health Grant
R01-NS32405-01 and by the Howard Hughes Physician Postdoctoral Fellowship and National Institutes of Health Grant K08 NS02056-01 to
C.C. We thank B. Bean, A. Carter, K. Delaney, J. Dittman, D. Finley, A. Kreitzer, J.-W. Lin, G. Yellen, M. Xu-Friedman, and R. Zucker for
comments on this manuscript.
Correspondence should be addressed to Dr. Wade G. Regehr, Department of
Neurobiology, Harvard Medical School, 220 Longwood Avenue, Boston, MA 02115.
 |
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