 |
Previous Article | Next Article 
Volume 16, Number 13,
Issue of July 1, 1996
pp. 4089-4101
Copyright ©1996 Society for Neuroscience
The Role of K+ Currents in Frequency-Dependent Spike
Broadening in Aplysia R20 Neurons: A Dynamic-Clamp
Analysis
Minghong Ma1, 3, 4 and
John Koester1, 2, 4
1 Center for Neurobiology and Behavior,
2 Department of Psychiatry, and 3 Department of
Physiology and Cellular Biophysics, College of Physicians and Surgeons,
Columbia University, and 4 The New York State Psychiatric
Institute, New York, New York 10032
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
FOOTNOTES
REFERENCES
ABSTRACT
The R20 neurons of Aplysia exhibit frequency-dependent
spike broadening. Previously, we had used two-electrode voltage clamp
to examine the mechanisms of this spike broadening (Ma and Koester,
1995 ). We identified three K+ currents that mediate
action-potential repolarization: a transient A-type K+
current (IAdepol), a delayed rectifier current
(IK-V), and a Ca2+-sensitive
K+ current (IK-Ca). A major
constraint in that study was the lack of completely selective blockers
for IAdepol and IK-V,
resulting in an inability to assess directly the effects of their
activation and inactivation on spike broadening. In the present study,
the dynamic-clamp technique, which employs computer simulation to
inject biologically realistic currents into a cell under current-clamp
conditions (Sharp et al., 1993a ,b), was used either to block
IAdepol or IK-V or to
modify their inactivation properties.
The data in this paper, together with earlier results, lead to the
following hypothesis for the mechanism of spike broadening in the R20
cells. As the spike train progresses, the primary responsibility for
spike repolarization gradually shifts from
IAdepol to IK-V to
IK-Ca. This sequence can be explained on the
basis of the relative rates of activation and inactivation of each
current with respect to the constantly changing spike durations, the
cumulative inactivation of IAdepol and
IK-V, and the progressive potentiation of
IK-Ca. Positive feedback interactions between
spike broadening and inactivation contribute to the cumulative
inactivation of both IAdepol and
IK-V. The data also illustrate that when two or
more currents have similar driving forces and partially overlapping
activation characteristics, selectively blocking one current under
current-clamp conditions can lead to a significant underestimate of its
normal physiological importance.
Key words:
spike broadening;
dynamic clamp;
K+ current;
IAdepol;
inactivation;
Aplysia;
R20
INTRODUCTION
Frequency-dependent spike broadening, an
endogenously generated increase in spike duration that increases as a
function of firing rate, has been shown in neurons from a variety of
species to be correlated with enhanced transmitter release (Gillette et
al., 1980 ; Coates and Bulloch, 1985 ) and to result primarily from
inactivation of K+ currents (Aldrich et al., 1979a ,b;
Jackson et al., 1991 ; Bielefeldt et al., 1992 ; Crest and Gola, 1993 ;
Quattrocki et al., 1994 ). Previously we had described the facilitatory
synaptic effects and the mechanisms of frequency-dependent spike
broadening in the two electrically coupled peptidergic R20 neurons of
Aplysia (Ma and Koester, 1995 ). In addition, to analyze the
mechanisms underlying spike broadening, several voltage-activated
currents were isolated from the R20 cells by conventional voltage-clamp
methods. These included a Na+ current
(INa), a multi-component Ca2+
current (ICa), and three K+
currents a high-threshold transient A-type current
(IAdepol), a delayed rectifier current
(IK-V), and a two component
Ca2+-sensitive K+ current
(IK-Ca). By using a tape-recorded train of
broadening spikes as the command signal for the voltage clamp, we found
that IAdepol, which is the largest outward
current during a single nonbroadened spike, undergoes cumulative
inactivation during such a train; IK-V exhibits
bimodal changes, increasing during the early part of a train and
decreasing during the latter part; IK-Ca
facilitates throughout the train; and although the amplitude of
ICa decreases during the train, its time
integral increases. We hypothesized that the inactivation of
IAdepol is the motive force driving spike
broadening in the R20 cells and that most changes in the other currents
occur secondary to increasing spike width (Ma and Koester, 1995 ). We
further postulated that IK-V affects primarily
the kinetics of broadening, whereas IK-Ca
affects both the rate and extent of broadening. The goals of this study
were to test directly the hypothesized roles of these three
K+ currents in spike broadening in the R20 cells and to
determine how their relative rates of activation and inactivation
affect the voltage-mediated interactions between them.
Four complementary methods have been developed to study the role of
voltage-gated membrane conductances in shaping the electrical activity
patterns of a neuron. One approach, to block individual currents
pharmacologically (Byrne et al., 1979 ; Schwindt, 1992 ; Tierney and
Harris-Warrick, 1992 ), often is limited by a lack of specific blockers.
For example, in the R20 cells, no known blockers are completely
selective for IAdepol or
IK-V. A second approach is to simulate the
electrical activity of the cell by using mathematical descriptions of
all of its voltage-gated membrane conductances. Then, individual
conductances can be modified during the simulation (Byrne, 1980a ,b;
Golowasch et al., 1992 ; De Schutter and Bower, 1994 ). A drawback to
this method is the possible difficulty in obtaining accurate
descriptions of several voltage-sensitive conductances. A third
approach is to express artificially the channel in a neuron in which it
does not normally appear (Kaang et al., 1992 ) and then to observe the
resultant changes in excitability properties. This approach is quite
demanding technically. Moreover, as our results confirm, the functional
role of a voltage-gated conductance is highly dependent on the other
types of voltage-gated conductances in the neuron, because of
interactions via changes in membrane potential (McCormick and
Huguenard, 1992 ; Ducreux and Puizillout, 1995 ). A fourth method is the
dynamic-clamp technique.
The dynamic clamp uses computer simulation to introduce, eliminate, or
modify voltage-gated conductances in biological neurons (Sharp et al.,
1993a ,b). The resultant changes in excitability then provide a direct
readout of the role of the simulated conductance. This method has the
advantage over the standard simulation method (above) that only the
specific current being simulated needs to be accurately modeled. The
remaining currents are calculated and generated automatically by the
membrane. The kinetics, voltage sensitivity, or ion selectivity of the
conductance can be modified, and the resultant effects on excitability
can be determined.
In this study we used the dynamic clamp to block
IAdepol and/or IK-V or to
modify their inactivation in the R20 neurons. The resultant changes in
spike broadening can be explained by considering the kinetics of
IAdepol, IK-V, and
IK-Ca and the complex set of interactions among
them that are mediated via changes in action-potential shape.
MATERIALS AND METHODS
Preparations. Aplysia californica (100-250 gm) were
supplied by Marinus (Long Beach, CA). Each animal was anesthetized by
the injection of isotonic MgCl2, and the abdominal ganglion
was dissected out and desheathed after being bathed in artificial sea
water (ASW) containing 0.5% glutaraldehyde for 45 sec to reduce
spontaneous contractions of the sheath muscle. The R20 cells were
identified as described previously (Alevizos et al., 1989 ). The main
axon branches of the R20 cells were truncated by cutting short the
branchial nerve and the commissure between the two hemiganglia to
improve the space clamp of the R20 somata. Then the ganglion was
allowed to recover for at least 1 hr before each experiment, which was
performed at 15 ± 1°C.
Pharmacology. The following compounds were used:
tetrodotoxin (TTX) (Calbiochem, San Diego, CA); Tris (pH 7.6),
CdCl2, 4-aminopyridine (4-AP), and tetraethylammonium (TEA)
(Sigma Chemical, St. Louis, MO). Each pharmacological blocker was
applied by injecting a 100-fold concentrated bolus into the recording
chamber directly by pipette. The composition of ASW was as follows (in
mM): 460 NaCl, 10 KCl, 11 CaCl2, 55 MgCl2, 2.5 NaHCO3, and 10 Tris.
The various ionic currents isolated as difference currents were
INa (blocked by 60 µM TTX), total
ICa (blocked by 2 mM
CdCl2 after INa and all
K+ currents had been blocked),
IAdepol (blocked by 1 mM 4-AP after
IK-V and IK-Ca had been
blocked), IK-V (blocked by 40 mM TEA
after IK-Ca had been blocked), and
IK-Ca (blocked by 3-4 mM TEA). See
Ma and Koester (1995) for a discussion of the selectivity of these
drugs on the R20 cells.
Voltage clamp. Standard two-electrode voltage-clamp and
current-clamp methods were implemented using an Axon Instruments
Axoclamp 2A (Foster City, CA), as described previously (Ma and Koester,
1995 ). In voltage-clamp mode, rectangular voltage steps combined with
pharmacological blockers were used to identify
IAdepol and IK-V
conductances in the R20 cells and to determine the parameters for
simulating them with the dynamic clamp.
In some experiments, tape-recorded action-potential trains were played
back as commands for the voltage clamp in order to determine directly
how individual currents change during action-potential trains (for
details, see Ma and Koester, 1995 ). In short, a train of gradually
broadening action potentials evoked by injecting brief current pulses
into the soma of an R20 cell was tape-recorded under current clamp in
normal ASW. Then, with the same cell voltage-clamped, the
action-potential train was played back as the command signal for the
voltage clamp. When the command was repeated before (control) and after
adding a specific channel blocker to the bath, the difference currents
obtained by subtracting the currents with blocker from the control
currents gave the waveforms of the specific currents that contributed
to action-potential generation in current-clamp mode. The
action-potential trains were 7 Hz for ~10 sec in all experiments.
Every other spike and its corresponding current waveform are plotted in
each figure where data from spike trains are presented. Duration of an
action potential was defined as the time from the peak to the midpoint
of its falling phase. All group data are expressed as mean ± SEM.
Empirical determination of IAdepol and
IK-V. Both IAdepol
and IK-V were simulated by the dynamic clamp
using standard Hodgkin-Huxley-type equations (Hodgkin and Huxley,
1952 ) of the form:
|
(1)
|
|
(2)
|
|
(3)
|
in which Gmax is the conductance when all
channels of type x are open, Erev is
the reversal potential for Ix,
m and h are the
steady-state values of the activation and inactivation variables at a
given potential, t is the time step used in the
integration, and t is the time at the end of the last
integration step. The time constants m and
h and steady-state values
m and h at
different voltage levels were obtained by conventional voltage-clamp
protocols. In short, Ix (obtained as a
pharmacological difference current) was activated by a series of
depolarizing steps, the rising phases of the current were fit with
fourth-power exponential functions to calculate the activation time
constant ( m), and the decay phases were fit
with single exponential functions to give the inactivation time
constants ( h). (Deviations of
IAdepol or IK-V from
typical Hodgkin-Huxley kinetics and the resultant approximations
introduced into our model are described in Results.) For voltage steps
that were too negative to activate Ix, the
deactivation time constants ( m) were
determined by tail-current analysis. This protocol also gave the
reversal potential for Ix and revealed a linear
relationship between the instantaneous tail currents and voltage in the
range from 50 to +50 mV for both IAdepol and
IK-V. The time constants for recovery from
inactivation ( h) were determined by a
two-pulse protocol (see inset in Fig. 3A). The maximum
activation of the conductance underlying Ix
(Gmax) and the voltage dependence of the
activation variable (m ) were examined by
plotting peak conductance (Gp) versus membrane
potential. Gp was calculated as:
Gp = Ipeak/(Vm Erev), in which Ipeak was
measured by extrapolating the exponential decay of
Ix to t = 0, the start of the
pulse. The resulting conductances (Gp) and the
voltages (Vm) were fit to a Boltzmann function
of the form: Gp = Gmax/ 1 + exp((Vm V1/2)/k), to estimate the maximum
conductance, in which V1/2 is the potential when
Gp becomes half of Gmax
and k is the slope factor of the curve. The value of
m at each membrane potential was calculated
from equation 1 by setting h to its value at
t = 0 and substituting Ipeak for
Ix. The voltage dependence of steady-state
inactivation of Ix (h )
was estimated by a two-pulse protocol: a 100 msec test pulse to +30 mV
was preceded by 2 sec pulses to a prepulse potential, which on
different trials ranged from 80 to 0 mV. The value of
Gp during each test pulse, normalized to its
value after a 80 mV-conditioning pulse, was plotted against the
corresponding prepulse potential and fitted to a Boltzmann function,
which described the curve of h versus
voltage.
Fig. 3.
A mathematical model, which accurately
simulates IAdepol, illustrates the role of
cumulative inactivation in the evolution of
IAdepol traces during a spike train.
A, The recovery from inactivation of recorded
IAdepol has two time constants. A two-pulse
protocol (inset) was used to determine the recovery from
inactivation caused by the first 100 msec pulse from 50 to +30 mV.
The peak current during the second pulse, normalized to that during the
first one (filled circles), was plotted against the time
interval between the two pulses. The curve (smooth line) was
fit by a double exponential function; the major component had a
h value of 0.9 sec, whereas
h for the minor component was 18.5 sec. To
simulate IAdepol, the recovery from inactivation
was approximated by using just the faster time constant, which was 1.1 sec at 50 mV, averaged from four experiments. The accuracy of this
approximation was tested by using the same double-pulse protocol
(inset) to drive the dynamic-clamp circuit in open-loop
mode. The peak current calculated during the second pulse, normalized
to that during the first pulse (open circle), was plotted
against the time interval between two pulses, which was fit by a single
exponential curve (dotted line). B, The model
simulates IAdepol during rectangular
depolarizing steps. B1, Empirically measured
IAdepol in response to 200 msec depolarizing
steps in 10 mV increments from 40 to +30 mV from a holding potential
of 50 mV. B2, IAdepol was simulated
by driving the dynamic-clamp circuit in open-loop mode with the same
set of depolarizing steps as those used in B1. C,
The simulated IAdepol traces during
action-potential trains were quite similar to those recorded as 4-AP
difference current. C1, An action-potential train evoked by
injecting brief, depolarizing current pulses into the soma was recorded
for use as a command signal. The holding potential was 40 mV.
C2, IAdepol was recorded as a 4-AP
difference current under voltage clamp while playing back the spike
train recorded in C1. C3, C4,
IAdepol was simulated by playing back the
action-potential train
from C1 to the dynamic-clamp circuit in
open-loop mode with two different versions of the model. C3,
IAdepol waveforms that were simulated with the
unmodified version of the model matched the empirically determined
values in C2. C4, When noninactivating
IAdepol was simulated by fixing
h = 1, the same command led to greatly enhanced values
of IAdepol. C5, Changes in peak
values of recorded and simulated IAdepol from
C2-C4 are plotted against spike number.
IAdepol was measured as a 1 mM 4-AP
difference current after 60 µM TTX, 2 mM
CdCl2, and 40 mM TEA had been added to block
INa, IK-Ca, and
IK-V. The value of Gmax
used in the simulations C3, C4 was 1900 nS. The
first and last traces in C are indicated by the
white and black arrows, respectively.
[View Larger Version of this Image (27K GIF file)]
The rate factors of m (activation),
m (deactivation), h
(recovery from inactivation), and h
(inactivation) at each value of membrane potential were calculated from
time constants of activation and inactivation and steady-state value of
m and h, according to:
m = m / m,
m = (1 m )/ m,
h = h / h, and
h = (1 h )/ h. Then
m, m,
h, and h were fit
by appropriate versions of the expression (a + bV)/c + exp((d + V)/f), with a, b,
c, d, and f as adjustable parameters
that were used to represent the different rate factors in the
dynamic-clamp program. The dynamic-clamp software computed the current
flow through each type of channel by integrating equations 2 and 3 and
plugging the outputs into equation 1.
Dynamic clamp protocols. The setup for dynamic clamping is
illustrated in Figure 1 (Sharp et al., 1993a ,b). Dclamp
2.0 simulation software (Dyna-Quest Technologies, Sudbury, MA) running
on a Tangent 486, 33 MHz computer connected to the preparation via a
TL-1 DMA interface (Axon Instruments) was used to simulate either
IAdepol or IK-V. The
sampling rate for simulating a single conductance by dynamic clamp was
5 kHz. Parameters for the Hodgkin-Huxley-type equations describing the
time and voltage dependence of the IAdepol and
IK-V conductances, which had been determined
empirically in other R20 cells, were entered into the dynamic-clamp
program. Any one of three kinds of membrane potential signal
(Vm) could be used as input to the dynamic-clamp
program: an (off-line) tape-recorded action-potential train
(V1), a rectangular voltage step from a waveform
generator (V2), or membrane potential recorded
from the neuron on-line (V3). On the basis of
the Vm signal and equations 1-3 (above)
describing the desired conductance, the current i
(IAdepol or IK-V) flowing
through the conductance was computed by the dynamic clamp and expressed
as a voltage signal (Vi) proportional to i.
In open-loop mode (position 1 or 2), the dynamic clamp was used simply
to calculate off-line the current flowing in response to a series of
voltage steps or during a spike train. For these simulations,
Vi was tape recorded for later playback and analysis.
In closed-loop (on-line) mode (position 3), when the dynamic clamp was
used to inject current (i) into the cell,
Vi was used to control the injected current by driving
the current-generating amplifier of the Axoclamp, and
Vi, a signal proportional to i, was
tape recorded for later playback and analysis. All voltage and current
data were recorded on a modified VCR (PCM Data Recorder; A. R. Vetter,
Rebersburg, PA) (sampling rate 22 kHz per channel) and on a Gould Brush
2400 chart recorder. The data played back from the tape recorder were
analyzed by pClamp 6.0 software (Axon Instruments), which sampled the
analog output of the tape recorder at 10 kHz per channel. All the
current traces were filtered at 500 Hz by an RC software filter in
pClamp 6.0. Output from the pClamp software was printed on a laser
printer.
Fig. 1.
The dynamic clamp was used in open-loop mode to
simulate current waveforms off-line in response to predetermined
voltage commands consisting of either (1) a train of recorded spike
waveforms, (2) rectangular voltage steps, or (3) in closed-loop mode to
inject, block, or modify currents on-line.
[View Larger Version of this Image (29K GIF file)]
To block endogenous IAdepol (or
IK-V) in the R20 cells, the dynamic clamp
computed IAdepol (or
IK-V) with reversed polarity and injected it
into the cell. To block the inactivation of
IAdepol (or IK-V), two
currents were injected simultaneously: one was reversed
IAdepol (or IK-V) to
block the endogenous IAdepol (or
IK-V) through the membrane, and the other was
IAdepol (or IK-V) with
normal polarity but with the h inactivation variable fixed
at a value of 1.0.
The kinetic parameters for the dynamic-clamp equations describing the
voltage- and time-dependent behavior of IK-V and
IAdepol were determined from group data obtained
in separate experiments, but Gmax for each of
the two currents varied significantly between cells. Therefore, we did
not use Gmax values averaged from several cells
to calculate Gmax for a given experiment in
which the K+ current of an R20 cell was modified on-line by
the dynamic clamp. Rather, in each such experiment, several values of
Gmax were used for a given protocol. These steps
bracketed the average value from group data for each current (1700 nS
for IAdepol, 2100 nS for
IK-V) in steps of ± 10%. Then, at the end
of the experiment, we measured Gmax for each
current directly. Gmax was determined by
measuring 40 mM TEA difference currents for
IK-V and 1 mM 4-AP difference
currents for IAdepol for large depolarizing
steps that maximally activated each conductance. In this procedure,
INa, ICa, and
IK-Ca were preblocked by 60 µM TTX
and 2 mM CdCl2 to improve space clamp and to
eliminate the nonspecific effects of TEA and 4-AP on
IK-Ca (see below). The data for the
dynamic-clamp run in which Gmax most closely
matched the Gmax value measured at the end of
the experiment were chosen for further analysis. The one exception to
this protocol was an experiment in which IK-V,
IAdepol, and IK-Ca were
blocked at the start of the experiment with 50 mM TEA and
10 mM 4-AP (see Fig. 10). In this experiment,
Gmax for IAdepol was
adjusted such that the first spike duration matched that of the
control. Then Gmax for
IK-V was adjusted such that broadening with
IAdepol and IK-V added
back roughly matched the broadening pattern seen when
IK-Ca was blocked pharmacologically (see Fig. 14 in Ma and Koester, 1995 ).
Fig. 10.
Addition of either IAdepol
or IK-V with the dynamic clamp was sufficient to
cause spike broadening in a cell in which K+ currents had
been preblocked pharmacologically. An action-potential train was
evoked: A, In normal ASW. B, After 50 mM TEA and 10 mM 4-AP had been added to block
IK-V, IK-Ca, and
IAdepol. C, With both
IAdepol and IK-V added
back. D, With IAdepol added back.
E, With IK-V added back.
F, With IK-V, modified to express
only the slow, nonstate-dependent inactivation, added back. Resting
potential was 47 mV. Gmax for
IAdepol, 1500 nS; Gmax
for IK-V, 1500 nS (n = 6).
[View Larger Version of this Image (31K GIF file)]
In experiments in which conductances were added to a cell, the results
were relatively insensitive to the value of Gmax
chosen, with values that varied by as much as ±50% in some cases
providing qualitatively similar results. Blocking a conductance with
the dynamic clamp was much more sensitive to the value of
Gmax chosen, however, as inadvertent overblock
of either of the K+ conductances resulted in a
negative-slope conductance that destabilized the cell (Sharp et al.,
1993b ).
RESULTS
Voltage-clamp data revealed changing current waveforms correlated
with spike broadening
R20 cells undergo an unusually high degree of frequency-dependent
spike broadening. When fired in a train of 60 spikes at fixed
frequencies ranging from 1 to 10 Hz, the duration of the action
potentials in R20 neurons increases in a range from twofold, at 1 Hz,
to a maximum broadening of 5- to 10-fold in the range of 4-8 Hz (Ma
and Koester, 1995 ). In studying the mechanisms of spike broadening in
the R20 cells, we previously had combined conventional voltage-clamp
techniques with various channel blockers to isolate five major ionic
currents. Figure 2 illustrates the results obtained by
using a tape-recorded train of broadening action potentials as the
command signal for the voltage-clamp circuit for generating various
pharmacological difference currents, as described in Materials and
Methods (see also Ma and Koester, 1995 ). INa
inactivated only slightly during a spike train and did not contribute
to spike broadening directly. The peaks of ICa
showed modest inactivation, but the duration of Ca2+ influx
increased throughout the train, causing the time integrals of
ICa to facilitate by about 2.5- to 4.0-fold. The
prolonged ICa maintained the shoulders of the
broadened spikes. IAdepol, which was the largest
outward current during a single nonbroadened spike, underwent steadily
increasing inactivation during such a train. This cumulative
inactivation was postulated to be the critical factor leading to spike
broadening. IK-V exhibited bimodal changes that
were proposed to influence the kinetics of spike broadening in two
ways: IK-V increased during the early part of a
train, slowing spike broadening, and decreased during the latter part,
thereby accelerating broadening. The time integrals of
IK-Ca facilitated throughout the train, opposing
spike broadening. This increased IK-Ca, along
with the gradual inactivation of ICa, limited
the maximal extent of broadening.
Fig. 2.
Characteristic patterns of changes in individual
currents accompany frequency-dependent spike broadening. A 7 Hz, 9.3 sec action-potential train (left, first row) was evoked by
injecting brief, depolarizing current pulses into a cell with a resting
potential of 48 mV. The five major ionic currents mediating the spike
train were isolated by playing back the spike train as the command to
the conventional voltage clamp. Between each repetition of the train,
the following sequence of blocking drugs was added, one at a time, to
the bath: 60 µM TTX, 3 mM TEA, 40 mM TEA, 1 mM 4-AP, or 2 mM
CdCl2. The resulting difference currents measured before
and after adding each compound revealed INa,
IK-Ca, IK-V,
IAdepol, and ICa,
respectively. The five major currents during the first spike, the 27th
spike (at which point IK-V reached its peak),
the 43rd spike (at which point the maximum broadening was reached), and
the last spike (65th) are shown. The normalized values of spike
duration and of the time integrals of each current are plotted against
spike number in the right-hand column.
[View Larger Version of this Image (17K GIF file)]
Although these experiments allowed us to determine how various currents
change during a spike train, we were not able to use conventional
methods to block all of the currents individually and determine the
resulting effects on spike shape. Although selective blockers exist for
IK-Ca (BAPTA or EGTA injection or low-dose
external TEA), the other outward currents
(IAdepol and IK-V) could
not be blocked in isolation because of the side effects of the
available blockers. However, both IAdepol and
IK-V could be blocked specifically by a certain
drug if the other currents affected by that compound had been
preblocked by another compound. We used the following protocol to
measure the voltage sensitivity and kinetics of each current.
IAdepol was measured as a 1 mM 4-AP
difference current. Because 1 mM 4-AP also can increase a
slow, outward current in the R20 cells, which appears to be
IK-Ca (Ma and Koester, 1995 ), we preblocked
IK-Ca and IK-V by adding
2 mM CdCl2 (to block
ICa) and 40 mM TEA before measuring
the baseline current. Likewise, IK-V was
isolated as a 40 mM TEA difference current. Because 40 mM TEA also blocks IK-Ca, we again
had to preblock IK-Ca by adding 2 mM
CdCl2. Descriptions of the reversal potentials, kinetics,
and voltage sensitivities of the IAdepol and
IK-V conductances measured in this way were
programmed into the dynamic-clamp software, which was used in later
experiments to add, subtract, or modify the
IAdepol and IK-V
conductances in living R20 cells.
The dynamic clamp can simulate IAdepol
The first step in implementing the dynamic-clamp protocol is to
obtain voltage-clamp data that can be used to create a model to
simulate the current in question. IAdepol could
be modeled accurately by the classical Hodgkin-Huxley-type equations
(see Materials and Methods) with two minor deviations. First, the time
course of inactivation varied somewhat across cells: in most cells, it
was well fit by a single exponential, whereas, in others, a relatively
minor component of the current decayed at a somewhat slower exponential
rate. Because the dynamic-clamp software we used cannot simulate a
current with more than one time constant of inactivation, the rate of
decay of IAdepol at each voltage step was
approximated by a single exponential, with time constant
h, over the voltage range from 20 to +50
mV. Second, time course of recovery from inactivation at 50 mV was
described best by a double exponential function (Fig.
3A; Furukawa et al., 1992 ); the major
component of recovery had a time constant of 1.1 ± 0.2 sec, although
there was a much smaller component that had a time constant of 19.5 ± 2.8 sec (n = 4). Again, only the faster time constant
at each voltage was used to approximate the kinetics of inactivation of
IAdepol (Fig. 3A). The data from
conventional voltage-clamp experiments gave the following
results for IAdepol:
Erev = 73.0 ± 1.7 mV (n = 5);
Gmax = 1700 ± 250 nS (n = 8); m = 300/(0.9 + exp(( 6 + Vm)/( 15))); m = 300/ (3 + exp ((50 + Vm)/12));
h = 1.8/exp((62 + Vm)/20); and h = 8.5/(0.43 + exp((20 + Vm)/( 5)));
V1/2 = 11.5 and 34.0 mV for
m4 and h, respectively.
The accuracy of the mathematical model of
IAdepol was tested in two ways. First, it was
used to simulate IAdepol waveforms in response
to 200 msec depolarizing steps from 40 to +30 mV from a holding
potential of 50 mV. The results were quite similar to the
IAdepol waveforms recorded as 1 mM
4-AP difference currents (Fig. 3B1,B2). Second, the values
of IAdepol during an action-potential train were
simulated. The simulated currents were similar, but not identical, to
those isolated pharmacologically. Although the calculated
IAdepol underwent cumulative inactivation
similar to that shown by 1 mM 4-AP difference currents
measured during a train of broadening spikes (Fig. 3C1), the
final extent of inactivation of simulated
IAdepol at the end of the train was a bit less
than that for the empirically measured IAdepol
(Fig. 3C2,C3). The reason was presumed to be that
IAdepol was simulated with only the fast-time
constant for recovery from inactivation instead of two time constants,
a fast one as well as a slow one (Fig. 3A). The lack of a
major discrepancy between recorded and simulated currents suggests that
the fast recovery process accounts for the bulk of the cumulative
inactivation during a train, whereas the slow component plays a
relatively minor role.
The importance of inactivation in shaping
IAdepol waveforms during a spike train was
determined by blocking the inactivation of simulated
IAdepol currents while using the recorded spike
train from Fig. 3C1 as the input to the dynamic clamp.
Blocking inactivation increases the peak of simulated
IAdepol during the first spike in the train by
only 1.3-fold ± 0.1 (n = 4) (compare first traces
in Fig. 3C3 and C4), but as the train progresses
and spike durations increase, the differences between the currents with
or without inactivation increase dramatically. With inactivation
intact, the gradual accumulation of IAdepol
channels in the inactivated state causes a progressive decrease in peak
IAdepol (Fig. 3C3). With inactivation
blocked, peak IAdepol increases during the train
as the voltage command signals (spike waveforms) get longer and longer
(Fig. 3C4). The maximum potentiation of
IAdepol caused by removing its inactivation
reaches 27.0-fold (± 3.9; n = 4) at the end of the train
(Fig. 3C5). This build-up of amplitude potentiation caused
by removing inactivation occurs because the first spikes in the train
are too brief to allow the IAdepol activation
variable to approach its steady-state value
(m ) at the peak of the spike. This
potentiation of modified (noninactivating)
IAdepol demonstrates that the degree of
progressive inactivation that normally occurs for native
IAdepol during a train is even greater than one
would conclude by simply observing the decline in
IAdepol peaks (Fig. 3C5).
The dynamic clamp can simulate IK-V
The empirical determination of parameters describing the kinetics
and voltage sensitivity of the IK-V channels was
based on protocols similar to those described for
IAdepol, with one important exception. Brief
depolarizing steps were found to be more effective in inactivating
IK-V than was a long step of duration equivalent
to that of the sum of the short steps (Fig.
4A1,A2). A similar
phenomenon has been described previously for delayed rectifier currents
in neurons of various species (Aldrich et al., 1979a ,b; Marom and
Levitan, 1994 ; Quattrocki et al., 1994 ; Baukrowitz and Yellen, 1995 ).
The excess inactivation that results when a long depolarization is
broken up into an equivalent train of short pulses is sometimes called
``cumulative inactivation'' (Aldrich, 1981 ). It is attributed to a
state-dependent phenomenon, based on the coupling of activation and
inactivation variables. (We use the term ``cumulative inactivation''
in a more generic sense to refer to any build-up in inactivation that
occurs when repeated voltage pulses are applied, without implying a
particular type of kinetic scheme.)
Fig. 4.
A mathematical model, which accurately simulates
IK-V, illustrates the role of cumulative
inactivation in the evolution of IK-V traces
during a spike train. A, IK-V
exhibits state-dependent inactivation, which causes it to inactivate
more rapidly in response to several brief pulses than to one long pulse
of equivalent duration. Depolarizing steps were from a holding
potential of 50 mV to +20 mV. A1,
IK-V inactivated relatively slowly during a 2 sec depolarizing step. A2, IK-V
during four 500 msec pulses repeated at 1 Hz decayed to a lower final
level than in A1. The dotted line in
A1 marks the corresponding level of
IK-V at the end of four brief voltage steps in
A2. B, Recorded and simulated
IK-V were similar during 50 msec repetitive
depolarizing pulses ( 10 to +50 mV) at 7 Hz from a holding potential
of 50 mV. B1, IK-V was measured
empirically as a TEA difference current using the voltage-step protocol
shown in the inset. B2, IK-V was
simulated by driving the dynamic-clamp circuit in open-loop mode.
C, The simulated waveforms of IK-V
during action-potential trains were similar to those recorded as TEA
difference currents. C1, An action-potential train evoked by
injecting brief depolarizing current pulses was recorded for use as a
command signal. The holding potential was 50 mV. C2,
IK-V was recorded as a TEA difference current
under voltage clamp while playing back the spike train recorded in
C1.
C3-C5, IK-V was simulated by playing
back the action-potential train from C1 to the dynamic-clamp
circuit in open-loop mode with three different versions of the model.
C3, Simulated IK-V had normal
inactivation. C4, Noninactivating
IK-V was simulated by fixing h = 1. C5, The state-dependent nature of
IK-V inactivation was ignored;
h was estimated from the decay during long (2 sec) voltage steps (A1) rather than from high-frequency
trains of steps as in B. C6, Peak values of
recorded and simulated IK-V from
C3-C5 are plotted against spike number.
IK-V was measured as a 40 mM TEA
difference current after 60 mM TTX and 2 mM
CdCl2 had been added to block INa,
ICa, and IK-Ca. The value
of Gmax used for the simulations in C
was 1850 nS. The first and last traces in C are indicated by
the white and black arrows, respectively.
[View Larger Version of this Image (23K GIF file)]
State-dependent coupling of activation and inactivation variables
cannot be modeled by the classical Hodgkin-Huxley model encoded in the
Dclamp 2.0 software. As a result, inactivation rates determined during
a long depolarizing step cannot simulate accurately the kinetics of
inactivation during a train of relatively brief action potentials.
Instead, we used inactivation rates measured during a train of brief
voltage steps (Fig. 4B1), which occurred at the same rate as
the spikes in a train, to provide a Hodgkin-Huxley-type approximation
of the state-dependent inactivation of IK-V. In
other words, the inactivation time constants of
IK-V ( h) were not
estimated from the decay of exponential curves during long pulses but
were approximated by fitting the decay of the peak currents during a 7 Hz train of repeated 50 msec pulses ( 10 to 50 mV) from a holding
potential of 50 mV (inset of Fig. 4B). With this estimate
of IK-V inactivation rates, the dynamic clamp
could simulate rather accurately the empirically determined changes in
IK-V during frequency-dependent spike
broadening. This approach required sacrificing the accuracy of
IK-V simulations during long voltage-clamp steps
(>100 msec), which are not physiologically relevant in this case. With
this modification in protocol, the kinetics and voltage sensitivity of
the IK-V currents were fit by the equations
described in Materials and Methods: Erev = 62.0 ± 3.1 mV (n = 3); Gmax = 2100 ± 370 nS (n = 9);
m = (53 + 0.22 Vm)/(0.65 + exp(( 5 + Vm)/( 13))); m = (3.4 0.06Vm)/exp (( 10 + Vm)/65); h = 1/exp((143 + Vm)/30); and
h = 1.7/(0.83 + exp((7.4 + Vm)/( 6.7))); V1/2 = 0.1 and 33.0 mV for m4 and h,
respectively.
The accuracy of the mathematical model of IK-V
was checked in two ways. First, the simulated waveforms of
IK-V in response to four 7 Hz,
50-msec-depolarizing repetitive steps ( 10 to +50 mV) from a holding
potential of 50 mV were found to be quite similar to the values of
IK-V measured empirically as 40 mM
TEA difference currents (Fig. 4B). Second, the simulated
IK-V waveforms during an action-potential train
matched quite closely the waveforms measured empirically (Fig.
4C1-C3). The importance of using inactivation kinetics
determined from high-frequency pulses (Fig. 4B1) was tested
by trying an alternative kinetic model that used values of
h for IK-V that were
determined by measuring the decay rate during a series of long (2 sec)
voltage steps. When control action-potential waveforms were used to
drive simulations based on such a conventional, nonstate-dependent
model of IK-V inactivation, the computed
IK-V waveforms deviated considerably from the
empirically measured difference currents. The simulated currents showed
much greater facilitation during the train, as well as a much lower
level of inactivation at the end of the train (compare Fig.
4C3 and C5).
The role of inactivation in shaping IK-V
waveforms during a spike train was determined by modifying the
inactivation of simulated IK-V currents while
using the recorded spike train from Figure 4C1 as the input
to the dynamic clamp. Blocking inactivation has no significant effect
on the simulated IK-V during the first spike in
the train (compare Fig. 4C3 to C4), but as the
train progresses, the differences between the currents with or without
inactivation rapidly increase. In both cases, as the spikes begin to
broaden during the train, peak IK-V increases as
the spike waveforms get longer and longer, allowing the channels to
approach more closely full activation. When inactivation is intact,
however, this potentiating trend is overwhelmed rapidly by the gradual
cumulative inactivation of IK-V channels, which
causes a progressive decrease in peak IK-V,
beginning about a third of the way into the train (Fig.
4C3). In contrast, with inactivation blocked, peak
IK-V increases throughout the train as the spike
waveforms get longer and longer (Fig. 4C4). Only near the
end of the train, as spike amplitude and duration decrease slightly
because of potentiation of IK-Ca and
inactivation of ICa (Ma and Koester, 1995 ), does
IK-V begin to decrease slightly. The early onset
of differences in IK-V patterns under the two
conditions indicates that inactivation of IK-V
plays an important role in shaping IK-V behavior
even at the beginning of the control train, when
IK-V is increasing from spike to spike. It also
demonstrates that the degree of progressive inactivation of normally
inactivating IK-V during a train is even greater
than one would conclude simply by observing the decline in control
IK-V peaks (Fig. 4C6). Blocking
inactivation causes a much greater potentiation of
IK-V than of IAdepol in
this protocol, because the rapid activation kinetics of
IAdepol allow it to approach much more closely
full activation during the first spike of the train than does
IK-V, which activates relatively slowly.
Potentiation measured as the ratio of the peak of the largest current
trace to the peak of the first trace in the train was 10.6-fold ± 1.7 (n = 4) for IK-V but only
1.8 ± 0.4 (n = 4) for IAdepol
(compare Figs. 3C5, 4C6).
Both IAdepol and
IK-V control spike broadening
The dynamic clamp was used to study the effects of selectively
blocking IAdepol or IK-V
on spike broadening and to study the effects of blocking the
inactivation of either current both on spike broadening and on the
dynamics of the other current. Pharmacological methods are not adequate
for such manipulations, because the known blockers of the two types of
ion channel are nonselective (Hermann and Gorman, 1981a ,b; Ma and
Koester, 1995 ), and there are no known pharmacological blockers of
inactivation of these channels.
Blocking activation or inactivation of
IAdepol modulates spike broadening
Previously we had examined the roles of the three
voltage-activated K+ currents in spike repolarization (Ma
and Koester, 1995 ). Our data showed that blocking both
IK-V and IK-Ca with TEA
so that IAdepol was the only voltage-activated
outward current remaining had no significant effect on the width of a
single spike. When 1 mM 4-AP was added subsequently, it
blocked IAdepol selectively, because the
previous addition of TEA had eliminated nonselective potentiation of
IK-Ca from 4-AP. Under these conditions,
pharmacological block of IAdepol broadened a
single spike by ~10-fold (Ma and Koester, 1995 ). These results
suggested that, of the three outward currents,
IAdepol is the only one to affect significantly
the repolarization rate for a single spike. Moreover, in the same
study, cumulative inactivation of IAdepol was
found to correlate well with spike broadening during a high-frequency
train (see also Figs. 2,3). One might expect, therefore, that selective
block of IAdepol would cause the first spike of
a train to broaden to near its maximal value, but further broadening
during the train would be negligible. In the present study, however,
applying 1 mM 4-AP alone to block
IAdepol made a single spike only 2.2-fold
(±0.2) wider and 9.6% (±1.3%) larger (n = 8), and
major spike broadening still occurred later in the train (data not
shown). Given that 4-AP also can facilitate
IK-Ca (Hermann and Gorman, 1981a ), the
relatively minor effects of blocking IAdepol on
spike width could result from a countervailing enhancement of
IK-Ca. In fact, late in a train when
IK-Ca reaches its peak value (Fig. 2 in Ma and
Koester, 1995 ), broadening was more pronounced in controls than in
cells treated with 4-AP (data not shown). These results suggest that
4-AP may indeed have potentiated IK-Ca. To
eliminate this possibility, we repeated this experiment by using the
dynamic clamp, rather than 4-AP, to block
IAdepol. We found that selectively blocking
IAdepol with the dynamic clamp had results on a
single spike similar to those produced by 4-AP ~two-fold broadening
(Fig. 5A1,A2, 6A). Unlike
4-AP block, it showed no tendency to reduce broadening late in the
train. We therefore restricted our analyses of the effect of blocking
IAdepol to experiments in which the dynamic
clamp was used to cancel it out.
Fig. 5.
Blocking IAdepol activation
(or inactivation) with the dynamic clamp accelerated (or eliminated)
spike broadening, which in turn modified the dynamics of
IK-V activation and inactivation. A,
Action-potential trains were evoked under control conditions
(A1), after blocking IAdepol
(A2), or after blocking inactivation of
IAdepol (A3). The dynamic clamp was
used in closed-loop mode either to simply cancel out
IAdepol (A2) or to replace it with a
noninactivating version of IAdepol
(A3). B, Simulated IK-V
changed during a spike train recorded while
IAdepol (or its inactivation) was blocked.
B1, Simulated IK-V during a control
spike train showed bimodal changes. B2, Simulated
IK-V during an action-potential train recorded
while IAdepol was blocked underwent cumulative
inactivation from the increased initial value. B3, Simulated
IK-V during a spike train recorded while
inactivation of IAdepol was blocked underwent
only modest cumulative inactivation. A4, B4, Changes in
spike width (A1-A3) and peak values of simulated
IK-V (B1-B3) caused by modifying
IAdepol are plotted against spike number.
Resting potential was 50 mV. Gmax used by the
dynamic clamp for blocking or modifying IAdepol
was 1650 nS. Gmax used for simulating
IK-V in B1-B3 was 2050 nS.
[View Larger Version of this Image (27K GIF file)]
Given our earlier results on the importance of
IAdepol, why did blocking
IAdepol have such a small effect on initial
spike width and subsequent broadening during a train (Figs.
5A, 6A)? One possibility is that
IK-V and IK-Ca, which
normally activate relatively slowly, had sufficient time to activate
more fully as a result of the twofold spike broadening caused by
blocking IAdepol. As a result of such increased
activation, IK-V and
IK-Ca could become the dominant outward currents
underlying spike repolarization. In that case, cumulative inactivation
of IK-V and a parallel decrease of
IK-Ca could mediate the subsequent spike
broadening. (Although the time integrals of
IK-Ca increased overall during a spike train
(Fig. 2), the peaks of IK-Ca did show a
transient dip during the initial part of the train (Figs.
6B1,B3; Fig. 9 in Ma and Koester, 1995 ), perhaps because of
the inactivation of Ca2+ channels nearest the
IK-Ca channels.) This hypothesis for the
enhanced role of IK-V and
IK-Ca was tested by using two sets of
action-potential trains, which had been recorded either under control
conditions or while IAdepol was blocked by the
dynamic clamp. For IK-V, these recorded spike
trains were used as commands to the dynamic clamp, which simulated the
IK-V waveforms off-line in response to the two
different spike trains (Fig. 5). For IK-Ca, the
same recorded spike trains were used as commands to the voltage clamp,
and 3 mM TEA was applied to isolate
IK-Ca during the two different spike trains
(Fig. 6). As predicted, (1) the simulated IK-V
(Fig. 5B) and the measured IK-Ca
(Fig. 6B) activated much more completely during the first
spike compared with the first spike when IAdepol
was normal; (2) IK-V underwent cumulative
inactivation during spike trains recorded when
IAdepol was blocked (Fig. 5B2,B4);
and (3) peaks of IK-Ca decreased during the
early part of the spike train, as though the initial transient dip were
enhanced (Fig. 6B2,B3).
Fig. 6.
Blocking IAdepol activation
with the dynamic clamp accelerated spike broadening, which, in turn,
enhanced the activation of IK-Ca and modified
its kinetics. A, The spike trains recorded either under
control conditions (A1) or with
IAdepol activation blocked (A2) by
the dynamic clamp were used as commands to the voltage clamp for
isolating IK-Ca pharmacologically (B1,
B2). B, IK-Ca was measured as 3 mM TEA difference currents under control condition
(B1) and after blocking IAdepol
(B2). A3, B3, The durations of the spikes of the
two trains (A1, A2) and the corresponding peaks of
IK-Ca currents (B1, B2) are plotted
against spike number. Resting potential was 50 mV, and
Gmax used for the IAdepol
simulations (A2) was 1350 nS.
[View Larger Version of this Image (25K GIF file)]
Fig. 9.
Using the dynamic clamp to block activation or
inactivation of IAdepol or of
IK-V caused changes in frequency-dependent spike
broadening that were measured in the same cell. A,
Action-potential trains generated with K+ conductances in
various different states. A1, Control; A2, with
IAdepol blocked; A3, with
IK-V blocked; A4, with
IAdepol and IK-V blocked;
A5, with inactivation of IAdepol
blocked; A6, with inactivation of
IK-V blocked. B, Durations of spikes
in A1-A6 are plotted against spike number. Resting
potential was 50 mV. Currents were blocked or modified by using
Gmax for IAdepol = 1750 nS and Gmax for IK-V = 1650 nS.
[View Larger Version of this Image (32K GIF file)]
We had postulated that in control conditions inactivation of
IAdepol is critical for spike broadening,
because IAdepol is normally the largest outward
current during a single spike and because its cumulative inactivation
mirrors the increase in spike duration (see also Fig. 2; Ma and
Koester, 1995 ). This hypothesis was supported by an experiment in which
the inactivation of IAdepol was blocked by the
dynamic clamp. Under these conditions spike broadening was negligible
(n = 14). As a result of spike width staying constant
during such a train, the simulated peak values of
IK-V did not facilitate. Instead, they exhibited
only steadily increasing inactivation during a train of nonbroadened
spikes (Fig. 5A3,B3,B4; see also below). Although the model
used to simulate IK-V can only approximate its
complex inactivation kinetics, similar results were obtained when
IK-V was measured directly as a TEA difference
current in a similar protocol (Fig. 12 in Ma and Koester, 1995 ).
An important positive feedback interaction between spike broadening and
IK-V inactivation was revealed by examining the
simulated IK-V currents under two different
conditions. When IAdepol inactivation was
blocked, thereby preventing spike broadening, the simulated
IK-V currents reached a maximal cumulative
inactivation of only ~50% (Fig. 5B3). When broadening was
allowed to occur, IK-V inactivated to ~12% of
its maximum value earlier in the train (Fig. 5B2).
Blocking activation or inactivation of IK-V
modulates spike broadening
IK-V normally starts out small for the
first spike in the train and then increases, before eventually
decreasing toward its initial value late in the train (see also Fig. 2;
Ma and Koester, 1995 ). Thus, we predicted that blocking
IK-V with the dynamic clamp would have
relatively little effect on the first or last spikes in the train but
would increase the rate of broadening during the early and middle parts
of the train, when IK-V normally increases in
amplitude. As expected, blocking IK-V had
negligible effects on the durations of the first and last spikes in the
train, but it accelerated the process of spike broadening dramatically
(Figs. 7A1,A2). Just as blocking
IAdepol could affect the behavior of
IK-V via its effects on spike shape, blocking
IK-V likewise influenced
IAdepol waveforms. The increase in average spike
duration during a train of spikes generated with
IK-V blocked resulted in cumulative inactivation
of IAdepol that was faster than that in control
conditions (Fig. 7B1,B2,B4).
Fig. 7.
Blocking IK-V activation
(or inactivation) with the dynamic clamp accelerated (or reduced) spike
broadening, which, in turn, modified the rate and extent of
IAdepol inactivation. A,
Action-potential trains were evoked under control conditions
(A1), after blocking IK-V
(A2), or after blocking inactivation of
IK-V (A3). The dynamic clamp was used
in closed-loop mode either to simply cancel out
IK-V (A2) or to replace it with a
noninactivating version of IK-V (A3).
B, Compared with control (B1), simulated
IAdepol underwent faster inactivation during a
spike train with IK-V blocked (B2) or
slower and less complete inactivation with inactivation of
IK-V blocked (B3). A4, B4,
Changes in spike width (A1-A3) and peak values of
IAdepol (B1-B3) caused by modifying
IK-V are plotted against spike number. Resting
potential was 50 mV. Gmax used by the dynamic
clamp for blocking or modifying IK-V was 1700 nS. Gmax of IAdepol used
for simulating IAdepol in B1-B3 was
1950 nS.
[View Larger Version of this Image (23K GIF file)]
Next we investigated whether blocking inactivation of
IK-V would affect spike broadening during a
train. The amplitude of IK-V during a single
spike is relatively small compared with IAdepol
(Fig. 2), and blocking it completely has no effect on the duration of a
single spike (Fig. 7; Fig. 13 in Ma and Koester, 1995 ). One might
therefore predict that eliminating its inactivation would have a
negligible effect on spike broadening. On the contrary, blocking
inactivation of IK-V with the dynamic clamp
reduced maximal spike broadening during a train by ~75% (Fig.
7A1,A3,A4). This ability of blocking
IK-V inactivation to limit strongly the spike
broadening can be explained as follows. Under normal conditions,
IK-V becomes a major component of repolarizing
current in the early-to-middle portion of the train, because cumulative
inactivation of IAdepol causes longer spike
durations, which in turn generate enhanced activation of
IK-V. Eventually, IK-V
amplitudes begin to decline later in the train, as cumulative
IK-V inactivation outstrips the increase in
IK-V activation (Figs. 2, 5B; Fig.
8 in Ma and Koester, 1995 ). As a result of the gradual
rise and fall of IK-V during the train, blocking
its inactivation can add significantly to the repolarizing drive of the
cell, thereby limiting the broadening process.
Fig. 8.
Replacing the rapid, state-dependent inactivation
of IK-V by a slower, Hodgkin-Huxley-type
version reduced both the rate and final extent of spike broadening.
A, An action-potential train was evoked by injecting brief
depolarizing current pulses under control conditions. B, An
action-potential train was evoked after eliminating the state-dependent
inactivation of IK-V, which was achieved by
injecting two currents into the cell simultaneously:
IK-V with normal state-dependent inactivation
but with reversed sign to block the existing
IK-V of the cell and IK-V
with only slow inactivation and normal polarity to replace the
endogenous current. C, The durations of spikes for these two
trains are plotted against the number of spike. Resting potential was
48 mV. Gmax used by the dynamic clamp for
blocking or modifying IK-V was 2100 nS.
[View Larger Version of this Image (23K GIF file)]
Simulation of IAdepol waveforms with the dynamic
clamp driven by the spike trains recorded with
IK-V in various different functional states
revealed an important positive feedback interaction between
inactivation of IAdepol and spike broadening.
There was a positive correlation between mean-spike duration during a
train and rate of inactivation of simulated
IAdepol under three conditions: (1) inactivation
of IK-V blocked, (2) normal
IK-V and (3) activation of
IK-V blocked (Fig. 7A4,B4). Because
IAdepol-gating properties were not modified in
this series of experiments, the three different patterns of its
inactivation must be secondary to changes in action-potential waveforms
caused by changing IK-V. These data indicate
that normally, as inactivation of IAdepol during
the course of a train contributes to spike broadening, the broadening
in turn allows additional inactivation of
IAdepol to occur, thereby further enhancing
broadening. Any other process that contributes to broadening, such as
IK-V inactivation, would be amplified by this
positive feedback effect.
How would the balance between increasing activation and inactivation of
IK-V during a train be shifted if
IK-V did not undergo state dependent
inactivation? This question was examined by comparing spike broadening
under two conditions: (1) with native IK-V
inactivation kinetics, or (2) with the IK-V
conductance replaced by a modified version in which
IK-V inactivation parameters are fit by the
current decay during a single, long voltage step, rather than by the
state-dependent inactivation kinetics approximated from peak values of
IK-V measured during a train of brief steps
(Fig. 4A,B). The nonstate-dependent value of
h is slower than the state-dependent version,
and substituting it in the dynamic-clamp model of
IK-V limits cumulative inactivation of
IK-V and reduces by 22% (±1.4%;
n = 4) the amount of spike broadening that occurs
(Figs. 4C5, 8). Thus the enhanced inactivation resulting
when depolarization is broken up into short pulses potentiates the rate
and extent of broadening.
IAdepol and IK-V
contribute differently to spike broadening
To compare the relative effects of IAdepol
and IK-V on spike broadening directly, we used
the dynamic clamp to block or to modify the two currents in the same
cell. As described above, blocking IAdepol
caused a doubling in width of the first spike in the train (Fig.
9A1,A2,B). In contrast, blocking
IK-V had no effect on the width of the first
spike but caused an acceleration of broadening in the first half of the
train (Fig. 9A1,A3,B). When both
IAdepol and IK-V were
blocked simultaneously, the effects on spike width were variable. In
most cells (9 of 14), the first spike in the train was not as wide as
the maximally broadened spikes in a normal train (Fig.
9A4,B). As the train progressed, the spikes broadened
significantly, presumably because of the transient decay of
IK-Ca (Fig. 6B3). Spike width then
decayed as IK-Ca facilitated, and
ICa underwent progressive inactivation (compare
Figs. 2 and 6). In other cells (5 of 14), the first spike in the train
was broader than the widest spike in a normal train. In these cells,
with both IAdepoland IK-V
blocked, IK-Ca cells have a limited ability to
take over as the major repolarizing influence early in the train.
The relative effects of blocking inactivation of either
IK-V or IAdepol also were
examined in the same cell (n = 14). As expected from
results described above (Figs. 5, 7), blocking inactivation of
IAdepol completely blocked broadening, whereas
blocking inactivation of IK-V blocked most, but
not all, of the broadening (Fig. 9A5,A6). These results
further support the hypothesis that cumulative inactivation of
IAdepol is essential for initiating spike
broadening, and cumulative inactivation of IK-V
is essential to allow broadening to reach its full extent.
Simulated IAdepol and
IK-V are sufficient to cause spike
broadening
To test further our conclusions about the relative roles of
IAdepol and IK-V in
broadening, we blocked the entire complement of
depolarization-activated K+ currents pharmacologically and
then added back IAdepol and/or
IK-V with the dynamic clamp to see how they
affected broadening. After first recording a control spike train, we
blocked IAdepol, IK-V,
and IK-Ca by addition of 50 mM TEA
and 10 mM 4-AP. With the outward currents blocked in this
way, the first spike in the train was broadened maximally, and no
significant change in spike duration occurred throughout the
train (Fig. 10A,B). While maintaining
the pharmacological block, IAdepol,
IK-V, or the two together were added back to the
cell. Unlike the experiments described above, we did not measure
the values of Gmax for
IAdepol and IK-V in this
set of experiments. Instead, the average Gmax of
both currents determined in earlier experiments was used as a starting
point for the dynamic-clamp program (1700 nS for
IAdepol and 2100 nS for
IK-V). Then several different runs were made in
which these initial values were bracketed by values of
Gmax that varied in steps of ±20%. We found
that a wide range of Gmax values for the two
currents gave qualitatively similar results. The maximum value used was
twice as large as the minimum value for both currents, i.e.,
Gmax of IAdepol ranged
from 1300 to 2600 nS and Gmax of
IK-V ranged from 1500 to 3000 nS.
Adding back both IAdepol and
IK-V resulted in a spike train similar to that
recorded under control conditions. The main difference was that, with
IK-Ca still blocked by TEA, broadening at the
end of the train, when IK-Ca normally has its
maximal effect, was slightly greater than in the control (compare Fig.
10A and C). The incomplete inactivation of
simulated IAdepol at the end of a train (Fig.
3C3) seems to work against this extra broadening, as
indicated by the fact that the protocol in Fig. 10C enhances
broadening less than does blocking IK-Ca by
BAPTA injection (Fig. 14A1,A2 in Ma and Koester,
1995 ). Adding back IAdepol alone resulted in a
spike train in which the first spike had a normal duration, and
broadening occurred much more rapidly than in the control condition
(Fig. 10A,D), because the normally potentiating
IK-V (Fig. 4C2) as well as
IK-Ca still were blocked pharmacologically.
Restoring IK-V alone resulted in a train in
which the width of the first spike was threefold longer than the first
control spike (Fig. 10A,E). This enhanced duration, with
IK-Ca and IAdepol
blocked, is larger than that seen by blocking only
IAdepol (Figs. 5A, 6A),
confirming the hypothesis that IK-Ca can play a
significant role in repolarization of a single spike if
IAdepol is blocked (Fig. 6). If the
IK-V that was added back had the slow time
constant of inactivation measured from long pulses, rather than the
state-dependent inactivation h approximated
by the brief pulse-train protocol, broadening was reduced (Fig.
10F). This difference between the results achieved with the
Hodgkin-Huxley versus the state-dependent model of inactivation (see
also Fig. 8) indicates that the relatively rapid state-dependent
IK-V inactivation mechanism plays an important
role in allowing inactivation of this current to build up during a
spike train. Overall, the results obtained by adding back
IAdepol or IK-V with the
dynamic clamp were consistent with those obtained with the
complementary approach of blocking the currents with the dynamic
clamp.
DISCUSSION
Application of the dynamic-clamp method to the R20 neurons
There were several technical limitations in this study. The space
clamp was imperfect, as significant neuritic stumps remained connected
to the soma. Using different concentrations of the same drug (TEA) to
block either IK-Ca or
IK-V quite likely resulted in a minor
contamination of the difference currents obtained. The software used
could not simulate two time constants for inactivation or recovery from
inactivation (for IAdepol) or state-dependent
inactivation (for IK-V), so these processes had
to be approximated. The value of Gmax used by
the program had to be estimated for each individual cell from
measurements made at the end of the experiment. Despite these
limitations, the results obtained were highly consistent from
preparation to preparation, and there was a high degree of internal
consistency when results were compared from current-clamp,
voltage-clamp, and dynamic-clamp protocols, in both this and the
earlier study (Ma and Koester, 1995 ). All of these approaches provided
data that fit a unified interpretation of spike broadening summarized
in Figure 11.
Fig. 11.
Summary of the predominant mechanisms underlying
spike broadening in the R20 neurons, determined in this and the
previous study (Ma and Koester, 1995 ). Some interactions that play a
minor role in spike broadening are not included in this diagram. For
example, spike broadening also facilitates the activation of
IAdepol (Fig. 3C4). This effect is
overwhelmed by the progressive increase in inactivation, however.
Broadening also enhances cumulative inactivation of
ICa (Ma and Koester, 1995 ). This effect has two
opposing effects on spike broadening: by reducing inward current it
limits broadening, and by reducing the build-up of
IK-Ca, it enhances broadening.
[View Larger Version of this Image (25K GIF file)]
Relative roles of IAdepol,
IK-V, and IK-Ca in
spike repolarization
Several lines of evidence indicate that
IAdepol is the major current responsible for
repolarization of a single spike in the R20 cells. During the first
spike in a train, IAdepol is the largest and
most rapidly activating of the three K+ currents (Fig. 2).
Moreover, with IK-V and
IK-Ca blocked, IAdepol is
sufficient to cause normal repolarization of a single spike, but
blocking all three K+ currents caused ~10- to 15-fold
spike broadening (Fig. 10A,B; Fig. 13 in Ma and Koester,
1995 ). Likewise, if IK-V,
IK-Ca, and IAdepol all
are blocked pharmacologically, adding back
IAdepol with the dynamic clamp restores normal
spike width (Fig. 10A,B,D). These results suggest that
IAdepol is the major current responsible for
spike repolarization. However, blocking IAdepol
alone causes only a twofold increase in spike duration (Figs.
5A, 6A). The cause of this surprisingly small
effect of blocking IAdepol on spike width was
revealed by simulating IK-V and measuring
IK-Ca during the spike trains recorded with
IAdepol blocked. These data showed that
IK-V amplitude is increased two- to threefold in
response to twofold spike broadening, thereby allowing it to become a
major repolarizing influence (Fig. 5B2,B4). This enhanced
activation occurs because IK-V activation is
slow compared with normal spike duration (compare Fig. 4B
and C). IK-Ca also activates
relatively slowly (Fig. 5 in Ma and Koester, 1995 ). It is potentiated
2.5- to fourfold by twofold spike broadening and likewise contributes
to limiting spike broadening when IAdepol is
blocked (Fig. 6). These results illustrate how, in a system with
several voltage-gated conductances, the effect produced by blocking a
single current (e.g., IAdepol) can underestimate
significantly the physiological effect of that current (cf. McCormick
and Huguenard, 1992 ). In this case, blockade of
IAdepol is compensated largely by the emergence
of two latent currents, IK-V and
IK-Ca.
Cumulative inactivation of IAdepol,
potentiated by a positive feedback interaction with spike broadening,
is essential for initiation of broadening
Several lines of evidence confirm that
IAdepol inactivation is essential for spike
broadening. (1) It is the largest outward current during the first
spike in the train, but as the train progresses, it inactivates to
0-10% of its initial value (Figs. 2, 3C2, 7B1).
(2) Changes in the other voltage-activated currents during the train
are insufficient to explain broadening either qualitatively or
quantitatively (Fig. 2; Ma and Koester, 1995 ). (3) Keeping spike width
constant reduces only partially the progressive decrease in
IAdepol amplitudes during a train, indicating
that a significant portion of its progressive inactivation is not
secondary to broadening but, rather, acts as a primary cause of
broadening (Fig. 12D in Ma and Koester, 1995 ). (4) When the
other voltage-gated outward currents (IK-V and
IK-Ca) are blocked pharmacologically, either
endogenous IAdepol or simulated
IAdepol that is generated by the dynamic clamp
can mediate frequency-dependent broadening (Fig. 10D; Fig.
14A3 in Ma and Koester, 1995 ). (5) Blocking inactivation of
IAdepol completely eliminates
frequency-dependent broadening (Figs. 5A3,
9A5).
Unlike other neurons in which the mechanisms of frequency-dependent
spike broadening have been examined in detail (Aldrich et al., 1979a ,b;
Quattrocki et al., 1994 ), the progressive inactivation of the critical
current in the R20 cells, IAdepol, is not
attributable primarily to state-dependent, cumulative inactivation. It
has been proposed that the AKv1.1a gene product forms the ion channels
for native IAdepol measured in
Aplysia neurons (Pfaffinger et al., 1991 ). Furukawa (1995)
described pronounced state-dependent, cumulative inactivation of the
AKv1.1a channels expressed in frog oocytes. When brief depolarizing
pulses from a holding potential of 50 mV were repeated at 0.1 Hz, the
evoked AKv1.1.a current pulses declined during the train in a manner
that could be fit best by a kinetic model with state-dependent
inactivation (Furukawa, 1995 ). We observed no such build-up of
inactivation of IAdepol in the R20 cells using
the identical protocol. Higher frequency (7 Hz) trains of depolarizing
voltage steps, designed to mimic the spike trains used in this study,
did produce modest cumulative inactivation of
IAdepol from step to step in the R20 cells.
However, this progressive inactivation could be simulated by the
conventional Hodgkin-Huxley-type kinetic scheme described above
without invoking state-dependent processes (data not shown). This
difference in inactivation properties may indicate that the AKv1.1a
gene product is not a component of the IAdepol
channels. More likely, given the other strong similarities between
native IAdepol and
IAKv1.1a (Pfaffinger et al., 1991 ; Kaang et al.,
1992 ), they differ in their inactivation properties either because of
differences in ion composition or post-translational modification
between oocytes and Aplysia neurons or because the AKv1.1a
channels lack unidentified -subunits or heterologous -subunits
that may be present in native IAdepol channels
(Sheng et al., 1993 ; Rettig et al., 1994 ).
The mechanism by which IAdepol
inactivation builds up during a train can be explained by the relation
of IAdepol channel kinetics to spike duration
and interspike interval. Because of its rapid inactivation rate,
significant, though not complete, inactivation of
IAdepol can occur during a single spike (Fig.
3C5). The time constant of recovery of
IAdepol from inactivation is on the order of 1 sec at 50 mV. Thus, for a 7 Hz train, a significant amount of
inactivation that occurs during each spike will persist into the onset
of the succeeding spike and beyond. Over the course of a 10 sec
high-frequency train, one would expect the balance between inactivation
and recovery from inactivation to reach an equilibrium within a few
seconds if spike duration were constant (Fig. 12 in Ma and Koester,
1995 ); but empirically IAdepol is found to
continue to inactivate throughout the entire train if normal spike
broadening is allowed to occur (Figs. 2, 3C). This extended
inactivation occurs because spike broadening caused by persistent
IAdepol inactivation from previous spikes causes
IAdepol in succeeding spikes to undergo more
complete inactivation, as h approaches more fully its
steady-state value, h . That is, there is
positive feedback between inactivation and broadening. This coupling is
illustrated by the positive correlation between spike width and the
rate and extent of IAdepol inactivation when
spike width is manipulated artificially (Fig. 7; compare Figs.
7C and 12D in Ma and Koester, 1995 ). Broadening
can also increase activation, which would provide a negative feedback
force tending to resist broadening; because
IAdepol activates quickly with respect to spike
rise time, increasing spike duration has only a relatively modest
tendency to cause IAdepol activation to
facilitate. Enhanced inactivation is the predominant effect (Fig.
3C5).
Cumulative state-dependent inactivation of
IK-V, potentiated by a positive feedback
interaction with spike broadening, is essential for maximum
broadening
During a spike train, there is a constantly varying interplay
between the changes in activation and inactivation of
IK-V. Early in the train there is a large scope
for facilitation of IK-V in response to the
spike broadening that is caused by IAdepol
inactivation, because IK-V activates so slowly
relative to spike duration. As a result, IK-V
increases during the first part of the train (Figs. 2, 4C),
and blocking IK-V speeds up broadening (Figs.
7A, 9B; Fig. 14 in Ma and Koester, 1995 ). As
spike width begins to approach its limit, IK-V
approaches full activation, so the dominant effect of broadening on
IK-V becomes to potentiate inactivation, which
is a much slower process than activation. The importance of
inactivation dynamics throughout the train is illustrated by the fact
that cumulative inactivation contributes to limiting the amplitude of
IK-V even as the IK-V
peaks are increasing from spike to spike early in the train (Fig.
4C6). Thus, blocking inactivation of
IK-V greatly reduces spike broadening (Figs.
7A4, 9A6).
As in the case of IAdepol, there is a positive
feedback interaction between spike broadening and inactivation of
IK-V. For simulated and recorded
IK-V, only a moderate cumulative inactivation occurs when
spike broadening is prevented during a train. This inactivation is
enhanced greatly when broadening is allowed to occur (Fig.
5A4,B4) (see Fig. 12 in Ma and Koester, 1995 ).
The state-dependent nature of IK-V inactivation,
which causes it to be inactivated more effectively by brief pulses, is
important in determining the role of IK-V in
spike broadening. When native IK-V currents are
substituted by IK-V currents with slower,
nonstate-dependent inactivation kinetics, the rate of broadening is
slower and less complete than the rate that occurs normally (Fig. 8).
Moreover, after blocking all outward currents pharmacologically, adding
back such a slowly inactivating current with the dynamic clamp is
insufficient to restore significant frequency-dependent broadening
(Fig. 10F). In contrast, the model that approximated
state-dependent inactivation kinetics generated robust
frequency-dependent broadening (Fig. 10E).
Summary and conclusions
The major interactions between currents and membrane potential
that determine the dynamics of frequency-dependent spike broadening are
summarized in Figure 11. During the first action potential in a train,
IAdepol activates relatively rapidly and
therefore dominates the repolarization process. However, the
inactivation that occurs during each spike accumulates from spike to
spike, causing progressive broadening. In addition, because
inactivation of IAdepol is relatively slow with
respect to spike duration, the broadening has a positive feedback
effect on IAdepol inactivation.
IK-V and IK-Ca are latent
currents that have no significant effect on repolarization during the
first spike in the train. The broadening also allows
IK-V and IK-Ca, which
activate relatively slowly, to turn on more fully during successive
spikes in the train, thereby playing a greater role in repolarization.
The broader spikes also prolong ICa. This added
Ca2+ influx, on the one hand, supports the shoulders of the
broadened spikes but, on the other hand, limits spike broadening by
elevating cytoplasmic Ca2+, which potentiates
IK-Ca. As the train progresses, the enhanced
IK-V activation caused by broadening gradually
is overwhelmed by progressive build-up of IK-V
inactivation, which is amplified by a positive feedback relation
between broadening and inactivation. As a result of these complex
dynamics, control of repolarization gradually devolves from
IAdepol to IK-V to
IK-Ca during the course of a high-frequency
spike train.
FOOTNOTES
Received March 1, 1996; revised April 16, 1996; accepted April 18, 1996.
This work was supported by National Institutes of Health Grant
NS14385.
We thank Drs. I. Kupfermann, A. MacDermott, and S. Siegelbaum for
comments on this manuscript.
Correspondence should be addressed to Dr. John Koester, Center for
Neurobiology and Behavior, New York State Psychiatric Institute, 722 West 168th Street, New York, NY 10032.
REFERENCES
-
Aldrich RW
(1981)
Inactivation of voltage-gated delayed
potassium current in molluscan neurons: a kinetic model.
Biophys J
36:519-532 .
[Web of Science][Medline]
-
Aldrich RW,
Getting PA,
Thompson SH
(1979a)
Inactivation of
delayed outward current in molluscan neurone somata.
J Physiol (Lond)
291:507-530 .
[Abstract/Free Full Text]
-
Aldrich RW,
Getting PA,
Thompson SH
(1979b)
Mechanism of
frequency-dependent broadening of molluscan neurone soma spikes.
J Physiol (Lond)
291:531-544 .
[Abstract/Free Full Text]
-
Alevizos A,
Weiss KR,
Koester J
(1989)
SCP-containing R20
neurons modulate respiratory pumping in Aplysia.
J Neurosci
9:3058-3071 .
[Abstract]
-
Baukrowitz T,
Yellen G
(1995)
Modulation of K+
current by frequency and external [K+]: a tale of two
inactivation mechanisms.
Neuron
15:951-960 .
[Web of Science][Medline]
-
Bielefeldt K,
Rotter JL,
Jackson MB
(1992)
Three potassium
channels in rat posterior pituitary nerve terminals.
J Physiol (Lond)
458:41-67 .
[Abstract/Free Full Text]
-
Byrne JH
(1980a)
Analysis of ionic conductance mechanisms in
motor cells mediating inking behavior in Aplysia
californica.
J Neurophysiol
43:630-650 .
[Abstract/Free Full Text]
-
Byrne JH
(1980b)
Quantitative aspects of ionic conductance
mechanisms contributing to firing pattern of motor cells mediating
inking behavior in Aplysia californica.
J Neurophysiol
43:651-668 .
[Free Full Text]
-
Byrne JH,
Shapiro E,
Dieringer N,
Koester J
(1979)
Biophysical mechanisms contributing to inking
behavior in Aplysia.
J Neurophysiol
42:1233-1250 .
[Abstract/Free Full Text]
-
Coates CJ,
Bulloch AG
(1985)
Synaptic plasticity in the
molluscan peripheral nervous system: physiology and role for peptides.
J Neurosci
5:2677-2684 .
[Abstract]
-
Crest M,
Gola M
(1993)
Large conductance
Ca2+-activated K+ channels are involved in both
spike shaping and firing regulation in Helix neurons.
J Physiol (Lond)
465:265-287 .
[Abstract/Free Full Text]
-
De Schutter E,
Bower JM
(1994)
An active membrane model of
the cerebellar purkinje cell. I. Simulation of current clamps in slice.
J Neurophysiol
70:375-399.
-
Ducreux C,
Puizillout J-J
(1995)
A-current modifies the spike
of C-type neurons in the rabbit nodose ganglion.
J Physiol (Lond)
486:439-451 .
[Abstract/Free Full Text]
-
Furukawa Y
(1995)
Accumulation of inactivation in a cloned
transient K+ channel (AKv1.1a) of Aplysia.
J Neurophysiol
14:1248-1257.
-
Furukawa Y,
Kandel ER,
Pfaffinger P
(1992)
Three types of
early transient potassium currents in Aplysia neurons.
J Neurosci
12:989-1000 .
[Abstract]
-
Gillette R,
Gillette MU,
Davis WJ
(1980)
Substrates of
command ability in a buccal neuron of Pleurobranchaea. I. Mechanisms of action potential broadening.
J Neurophysiol
43:669-685 .
[Abstract/Free Full Text]
-
Golowasch J,
Buchholtz F,
Epstein IR,
Marder E
(1992)
Contribution of individual ionic currents to
activity of a model stomatogastric ganglion neuron.
J Neurophysiol
67:341-349 .
[Abstract/Free Full Text]
-
Hermann A,
Gorman ALF
(1981a)
Effects of 4-aminopyridine on
potassium currents in a molluscan neuron.
J Gen Physiol
78:63-86 .
[Abstract/Free Full Text]
-
Hermann A,
Gorman ALF
(1981b)
Effects of tetraethylammonium
on potassium currents in a molluscan neuron.
J Gen Physiol
78:87-110 .
[Abstract/Free Full Text]
-
Hodgkin AL,
Huxley AF
(1952)
A quantitative description of
membrane current and its application to conduction and excitation in
nerve.
J Physiol (Lond)
117:500-544.
-
Jackson MB,
Konnerth A,
Augustine GJ
(1991)
Action potential
broadening and frequency-dependent facilitation of calcium signals in
pituitary nerve terminals.
Proc Natl Acad Sci USA
88:380-384 .
[Abstract/Free Full Text]
-
Kaang BK,
Pfaffinger PJ,
Grant SGN,
Kandel ER,
Furukawa Y
(1992)
Overexpression of an Aplysia Shaker
K+ channel gene modifies the electrical properties and
synaptic efficacy of identified Aplysia neurons.
Proc Natl Acad Sci USA
89:1133-1137 .
[Abstract/Free Full Text]
-
Ma M,
Koester J
(1995)
Consequences and mechanisms of spike
broadening of the R20 cells in Aplysia californica.
J Neurosci
15:6720-6734 .
[Abstract/Free Full Text]
-
Marom S,
Levitan IB
(1994)
State-dependent inactivation of
the KV3 potassium channel.
Biophys J
67:579-589 .
[Web of Science][Medline]
-
McCormick DA,
Huguenard JR
(1992)
A model of
electrophysiological properties of thalamocortical relay neurons.
J Neurophysiol
68:1384-1400 .
[Abstract/Free Full Text]
-
Pfaffinger PJ,
Furukawa Y,
Zhao B,
Dugan D,
Kandel ER
(1991)
Cloning and expression of an Aplysia
K+ channel and comparison with native Aplysia
K+ currents.
J Neurosci
11:918-927 .
[Abstract]
-
Quattrocki EA,
Marshall J,
Kaczmarek LK
(1994)
A
Shab potassium channel contributes to action potential
broadening in peptidergic neurons.
Neuron
12:73-86 .
[Web of Science][Medline]
-
Rettig J,
Heinemann SH,
Wunder F,
Lorra C,
Parcej DN,
Dolly JO,
Pongs O
(1994)
Inactivation properties of voltage-gated
K+ channels altered by presence of
-subunit.
Nature
369:289-294 .
[Medline]
-
Schwindt PC
(1992)
Ionic currents governing input-output
relations in Betz cells.
In: single neuron computation
(McKenna, T,
Davis, J,
Zornetzer, SF,
eds)
, p. 235. New York: Academic.
-
Sharp AA,
O'Neil MB,
Abbott LF,
Marder E
(1993a)
Dynamic
clamp: computer-generated conductances in real neurons.
J Neurophysiol
69:992-995 .
[Abstract/Free Full Text]
-
Sharp AA,
O'Neil MB,
Abbott LF,
Marder E
(1993b)
The dynamic
clamp: artificial conductances in biological neurons.
Trends Neurosci
16:389-394 .
[Web of Science][Medline]
-
Sheng M,
Liao YJ,
Jan YN,
Jan LY
(1993)
Presynaptic A-curent
based on heteromultimeric K+ channels in vivo.
Nature
365:72-75 .
[Medline]
-
Tierney AJ,
Harris-Warrick RM
(1992)
Physiological role of
the transient potassium current in the pyloric circuit of the lobster
stomatogastric ganglion.
J Neurophysiol
67:599-609 .
[Abstract/Free Full Text]
This article has been cited by other articles:

|
 |

|
 |
 
A. W. Ballo and D. Bucher
Complex Intrinsic Membrane Properties and Dopamine Shape Spiking Activity in a Motor Axon
J. Neurosci.,
April 22, 2009;
29(16):
5062 - 5074.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. L. Hooper, E. Buchman, A. L. Weaver, J. B. Thuma, and K. H. Hobbs
Slow Conductances Could Underlie Intrinsic Phase-Maintaining Properties of Isolated Lobster (Panulirus interruptus) Pyloric Neurons
J. Neurosci.,
February 11, 2009;
29(6):
1834 - 1845.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
P. M. Sonner, J. A. Filosa, and J. E. Stern
Diminished A-type potassium current and altered firing properties in presympathetic PVN neurones in renovascular hypertensive rats
J. Physiol.,
March 15, 2008;
586(6):
1605 - 1622.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J. S. Denton, F. V. McCann, and J. C. Leiter
CO2 chemosensitivity in Helix aspersa: three potassium currents mediate pH-sensitive neuronal spike timing
Am J Physiol Cell Physiol,
January 1, 2007;
292(1):
C292 - C304.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J.-M. Goaillard and E. Marder
Dynamic Clamp Analyses of Cardiac, Endocrine, and Neural Function
Physiology,
June 1, 2006;
21(3):
197 - 207.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
F. R. Fernandez, W. H. Mehaffey, and R. W. Turner
Dendritic Na+ Current Inactivation Can Increase Cell Excitability By Delaying a Somatic Depolarizing Afterpotential
J Neurophysiol,
December 1, 2005;
94(6):
3836 - 3848.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J. Kim, D.-S. Wei, and D. A. Hoffman
Kv4 potassium channel subunits control action potential repolarization and frequency-dependent broadening in rat hippocampal CA1 pyramidal neurones
J. Physiol.,
November 15, 2005;
569(1):
41 - 57.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
E S L. Faber and P. Sah
Ca2+-activated K+ (BK) channel inactivation contributes to spike broadening during repetitive firing in the rat lateral amygdala
J. Physiol.,
October 15, 2003;
552(2):
483 - 497.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
C.-C. Lien and P. Jonas
Kv3 Potassium Conductance is Necessary and Kinetically Optimized for High-Frequency Action Potential Generation in Hippocampal Interneurons
J. Neurosci.,
March 15, 2003;
23(6):
2058 - 2068.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
P. O. Kanold and P. B. Manis
A Physiologically Based Model of Discharge Pattern Regulation by Transient K+ Currents in Cochlear Nucleus Pyramidal Cells
J Neurophysiol,
February 1, 2001;
85(2):
523 - 538.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
R. A. Satterlie, T. P. Norekian, and T. J. Pirtle
Serotonin-Induced Spike Narrowing in a Locomotor Pattern Generator Permits Increases in Cycle Frequency During Accelerations
J Neurophysiol,
April 1, 2000;
83(4):
2163 - 2170.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
L.-R. Shao, R. Halvorsrud, L. Borg-Graham, and J. F Storm
The role of BK-type Ca2+-dependent K+ channels in spike broadening during repetitive firing in rat hippocampal pyramidal cells
J. Physiol.,
November 15, 1999;
521(1):
135 - 146.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
C. Pelz, J. Jander, H. Rosenboom, M. Hammer, and R. Menzel
IA in Kenyon Cells of the Mushroom Body of Honeybees Resembles Shaker Currents: Kinetics, Modulation by K+, and Simulation
J Neurophysiol,
April 1, 1999;
81(4):
1749 - 1759.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
R. Hewes
Voltage-dependent ionic currents in the ventromedial eclosion hormone neurons of Manduca sexta
J. Exp. Biol.,
January 9, 1999;
202(17):
2371 - 2383.
[Abstract]
[PDF]
|
 |
|

|
 |

|
 |
 
S. Gammie and J. Truman
Eclosion hormone provides a link between ecdysis-triggering hormone and crustacean cardioactive peptide in the neuroendocrine cascade that controls ecdysis behavior
J. Exp. Biol.,
January 2, 1999;
202(4):
343 - 352.
[Abstract]
[PDF]
|
 |
|

|
 |

|
 |
 
M. D. Whim and L. K. Kaczmarek
Heterologous Expression of the Kv3.1 Potassium Channel Eliminates Spike Broadening and the Induction of a Depolarizing Afterpotential in the Peptidergic Bag Cell Neurons
J. Neurosci.,
November 15, 1998;
18(22):
9171 - 9180.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
K. P. Giese, J. F. Storm, D. Reuter, N. B. Fedorov, L.-R. Shao, T. Leicher, O. Pongs, and A. J. Silva
Reduced K+ Channel Inactivation, Spike Broadening, and After-Hyperpolarization in Kvbeta 1.1-Deficient Mice with Impaired Learning
Learn. Mem.,
September 1, 1998;
5(4):
257 - 273.
[Abstract]
[Full Text]
|
 |
|

|
 |

|
 |
 
D. Park and K. Dunlap
Dynamic Regulation of Calcium Influx by G-Proteins, Action Potential Waveform, and Neuronal Firing Frequency
J. Neurosci.,
September 1, 1998;
18(17):
6757 - 6766.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J. W. Kramer, M. A. Post, A. M. Brown, and G. E. Kirsch
Modulation of potassium channel gating by coexpression of Kv2.1 with regulatory Kv5.1 or Kv6.1 alpha -subunits
Am J Physiol Cell Physiol,
June 1, 1998;
274(6):
C1501 - C1510.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
P. F. van Soest and K. S. Kits
Conopressin Affects Excitability, Firing, and Action Potential Shape Through Stimulation of Transient and Persistent Inward Currents in Mulluscan Neurons
J Neurophysiol,
April 1, 1998;
79(4):
1619 - 1632.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
K K Fitzgerald and T J Carew
Multiple forms of facilitation produced by aversive tentacular stimuli in cerebral ganglion sensory neurons of Aplysia.
Learn. Mem.,
January 1, 1997;
3(5):
376 - 388.
[Abstract]
[PDF]
|
 |
|
|