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Rammelkamp Center for Research, MetroHealth Campus, Case Western Reserve University, Cleveland, Ohio 44109-1998
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ABSTRACT |
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The rapid,
repolarizing K+ current in
cardiomyocytes
(IKr) has
unique inwardly rectifying properties that contribute importantly to
the downstroke of the cardiac action potential. The human
ether-à-go-go-related gene
(HERG) expresses a macroscopic
current virtually identical to
IKr, but a
description of the single-channel properties that cause rectification
is lacking. For this reason we measured single-channel and macropatch
currents heterologously expressed by
HERG in
Xenopus oocytes. Our experiments had
two main findings. First, the single-channel current-voltage relation
showed inward rectification, and conductance was 9.7 pS at
100
mV and 3.9 pS at 100 mV when measured in symmetrical 100 mM
K+ solutions. Second, single
channels frequently showed no openings during depolarization but
nevertheless revealed bursts of openings during repolarization. This
type of gating may explain the inward rectification of HERG
currents. To test this hypothesis, we used a three-closed state
kinetics model and obtained rate constants from fits to macropatch
data. Results from the model are consistent with rapid inactivation
from closed states as a significant source of HERG rectification.
rapid repolarizing cardiac potassium current; kinetics; activation
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INTRODUCTION |
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THE POTASSIUM ION (K+) current expressed heterologously in Xenopus oocytes by the human ether-à-go-go-related gene (HERG) (15, 23) has many properties of IKr, the rapid component of the repolarizing K+ current in heart (16). For example HERG current, like IKr, activates slowly and at positive potentials displays the inward rectification so critical to the role of IKr in producing the downstroke of the cardiac action potential. HERG current, like IKr in human cardiomyocytes (28) and ferret cardiomyocytes (13), has a transient peak at positive potentials (11, 17). Pharmacologically, HERG is sensitive to block by the class III methanesulfonanilides (11, 20, 23) that block IKr (8, 12, 16). Mutations in the HERG gene cause one form of hereditary long Q-T syndrome (3, 9) that is associated with the potentially lethal arrhythmia torsade de pointes, and class III methanesulfonanilide blockers of IKr produce similar phenomena.
Recently whole oocyte and macropatch measurements have suggested that C-type inactivation is the primary cause of inward rectification of HERG current (17, 19, 20). To understand further how HERG might produce rectification and a peak transient current, we measured its elementary currents. We found that single HERG channels may fail to open on depolarization but will open on repolarization. We attribute this result to inactivation from a closed state and note that this type of gating will contribute to inward rectification. We demonstrate that single HERG channels accumulate in inactivated states during depolarization and reopen or open for the first time during repolarization, confirming that, once repolarization has been initiated, HERG is uniquely suited to produce the downstroke of the cardiac action potential.
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MATERIALS AND METHODS |
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Electrophysiology.
Xenopus oocyte measurements were
performed using standard two-microelectrode voltage-clamp techniques
with a Dagan 8500 voltage clamp (Dagan, Minneapolis, MN) (11).
Macropatch currents were recorded from oocytes using patch pipettes
made from borosilicate glass with tip openings of 10-15 µm and
resistances of 150-250 k
with an Axopatch 1D patch-clamp
amplifier (Axon Instruments, Foster City, CA). After a gigaseal was
achieved, recordings were made in the cell-attached mode of the
conventional patch-clamp technique (4). Single-channel recordings were
performed using pipettes pulled from hard borosilicate glass with
resistances of 5-10 M
. The seal resistance was 50-500
G
. Pipettes were coated with Sylgard and fire polished immediately
before use.
Solutions and drug administration. Two-microelectrode voltage-clamp measurements of Xenopus oocytes were performed in a bath solution (low-K+ solution) containing (in mmol/l) 5 KCl, 100 NaCl, 1.5 CaCl2, 2 MgCl2, and 10 HEPES (pH 7.3).
For macropatch and single-channel recordings, the 100 mM K+ pipette solution contained (in mM) 100 KCl, 2 MgCl2, and 10 HEPES (pH adjusted to 7.3 with KOH). The 5 mM K+ solution contained (in mM) 5 KCl, 100 NaCl, 1.5 CaCl2, 2 MgCl2, and 10 HEPES (pH adjusted to 7.3 with NaOH). The bath solution in all single-channel and macropatch measurements contained (in mM) 100 KCl, 1 MgCl2, and 10 HEPES (pH adjusted to 7.3 with KOH). All measurements were done at room temperature (22°C).Data analysis.
Data were low-pass filtered at 1-2 kHz (
3 dB, 4-pole Bessel
filter) before digitization at 5-10 kHz. pCLAMP software (Axon Instruments) was used for generation of the voltage-pulse protocols and
for data acquisition. The single-channel measurements were corrected
for leak and capacitance current by subtracting the average current of
5-10 null recordings. Single-channel kinetics were analyzed using
Transit software (24). This resulted in histograms for amplitudes, open
time, closed times, and burst duration.
Probability density function parameter estimates were obtained with the
maximum-likelihood method and gave values for the exponential
components for open time
(
open), closed times (
closed,1,
closed,2, and
closed,3), and burst duration
(
burst). Transit software
uses a statistic based on the maximum-likelihood ratio to determine the
minimum number of exponential components in dwell-time distributions. A
second, slow open-time component (29) was not statistically validated
in our data. For calculation of burst duration, we used a critical
closed time calculated so that equal proportions of short and long
closed intervals are misclassified (1). Statistical data are given as
means ± SD. In single-channel data,
n refers to the number of patches analyzed.
Single-channel detection error. We have calibrated the response of our channel-detection system with simulated data to calculate the error for detection of single channels by Transit under our experimental conditions. Transit idealizes channels by detecting the instantaneous transitions among channel open and closed states rather than the crossing of an amplitude threshold. Transit only requires that the transitions have a derivative (slope) that exceeds the standard deviation of the baseline noise derivative by a user-specified multiple. Details of the algorithm have been published recently (24). The maximum likelihood-optimization procedure in Transit is based on the variable metric Davidon-Fletcher-Powell method and includes a correction for intervals shorter than the minimum and longer than the maximum observable intervals (2). We set the minimum observable time as the filter rise time and the maximum observable interval as the pulse length for estimation of dwell-time parameters. For our experiments these were 0.3 and 398 ms, the closest values permitted by Transit.
Single-channel simulation software was provided by Dr. Antonius VanDongen. We simulated data with a simple two-state model with a mean open time of 2 ms and a mean closed time of 8 ms. Under these conditions at a 20-kHz sampling rate without filtering or added noise, the maximum-likelihood parameter estimate for the mean open time was 2.004 ms, the average open time was 2.00 ms, and the number of openings detected was 780. The same simulation sampled at 5 kHz with 1-kHz filtering and the addition of 0.07 standard deviation noise resulted in a maximum-likelihood parameter estimate for the mean open time of 2.042 ms, an average open time of 2.30 ms, and 714 detected openings. There was negligible error in estimating the mean open time, and the number of missed openings corresponds to 8% of the number of openings detected at 20 kHz in the absence of filtering and noise. With these model parameters, 2% of openings should be missed as the result of concatenation of open times due to missed brief closures. We conclude that, at 5-kHz sampling and 1-kHz filtering, Transit misses 6% of single openings with a true mean of 2 ms because the openings are too brief. As an aid to channel detection, because the HERG channels burst, failure to detect all openings in a burst would require that all the openings in the burst have an open time less than the detection limit.Modeling. Nonlinear least-squares fitting of kinetics model transition rates to current recordings was accomplished with the Solver add-in to Microsoft Excel 97 and Windows NT 4. Experimental current data at each potential were fit to the function I(t) = N · Po(t) · i, where I(t) indicates the macroscopic current, N is the number of channels, Po is the probability of occupancy of the open state, and i is the single-channel current amplitude. Values of Po(t) were generated in Excel by Euler integration of the kinetics equations for each model. Initial parameter estimates for a model were obtained with a step size of 0.025 ms. When a consistent set of parameters was obtained that was relatively insensitive to variation of initial parameter values, the step size was increased to 0.25 ms to permit more rapid exploration of the model. Solutions were checked by reducing the step size to 0.025 ms. Reported solutions were stable when the step size was decreased. Values for N were optimized, and values for i were obtained from experimental data. Initial state occupancies were fixed, with all channels occupying the closed state farthest from the open state. Allowing the optimization procedure to vary initial state occupancies produced negligible occupancies of other closed states in the models evaluated. Currents from the deactivating voltage step were used to generate simultaneous fits to the tail currents. Initial state occupancies for the deactivating step were set equal to state occupancies at the end of the activating step. We constrained the sum of the transition rates for leaving the open state to be equal to the reciprocal of the experimentally determined open time and constrained the sum of the transitions leaving the proximal closed state to be equal to the experimentally observed fast closed time at each potential. Microscopic reversibility was maintained in models with transitions among states forming closed loops by making one of the transition rates in each loop take on appropriate values calculated as a function of all the other independent transition rates in the loop.
Molecular biology. The HERG clone was a gift from Dr. M. T. Keating (3). The pSP64 construct containing HERG was linearized with EcoR I (Boehringer Mannheim, Indianapolis, IN) and transcribed into cRNA with the mMESSAGE mMACHINE in vitro transcription kit (Ambion, Austin, TX) using SP6 polymerase. RNA (50-500 ng/µl) was injected into Xenopus oocytes, and measurements were performed 2-8 days after injection.
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RESULTS |
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Macroscopic currents.
In whole oocyte recordings HERG currents had an activation threshold of
40 mV. The current amplitude became larger at
20 and 0 mV
and then decreased at 20-, 40-, and 60-mV membrane potentials because
of inward rectification (Fig.
1A).
At 40 and 60 mV the currents showed a transient peak. Tail currents
were outward at
70 mV and had a characteristic rising phase
(hook), reached a peak, and then deactivated more slowly. The rising
phase in the tails is attributed to recovery from inactivation that is
faster than deactivation (18). The current kinetics in cell-attached macropatches were identical to the whole oocyte measurements [5 mM extracellular K+ concentration
([K]o) cell-attached
macropatch currents not shown].
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40 mV and currents were small and inward at
40 and
20 mV. From 20 to 100 mV, outward currents that
had transient peaks were observed (Fig. 1,
B and
inset). During the steps back to
120 mV, tail currents were large and inward and showed the
rising phase associated with rapid recovery from inactivation preceding
slower deactivation.
Nature of peak transient current.
To investigate the peak transient at positive potentials, we did
single-channel measurements in 100 mM
[K]o. The
single-channel conductance of HERG depends strongly on
[K]o and is 2 pS at 5 mM [K]o and 10 pS at
100 mM [K]o (11). From
a holding potential of
80 mV, we made measurements at 0.2 Hz to
a test potential of 100 mV for 300 ms to activate channels and then
stepped back to
120 mV for 100 ms to rapidly remove inactivation
(voltage protocol shown in Fig.
2A,
bottom). We used 100 mM
[K]o to make detection
of HERG-channel activity possible at potentials of both 100 and
120 mV. Figure 2A shows typical
leak and capacitance current-subtracted unitary currents from one HERG
channel. A striking feature is the occurrence of openings only during
repolarization (Fig. 2A, 1st through
4th recordings). During the step to
120 mV, the channel
recovered from inactivation, produced bursts of openings with a mean
burst duration of 15 ms, and finally entered a resting closed state. A
possible interpretation of this pattern is that during depolarization
the inactivated state may be entered directly from a closed state,
whereas during repolarization the inactivated channel closes after
visiting an open state. We refer to this gating pattern as closed-state
inactivation. Our estimate of one active channel in the patch is based
on the absence of any overlapping openings at
120 mV from all
recordings, in this case, 160 recordings. We refer to recordings with
single-channel openings present at
120 mV (84% of all
recordings) as "repolarization active" (RA) recordings.
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120 mV (6.6 ± 1.8 ms)
(n = 6).
At
40 mV we observed inward single-channel openings (Fig.
3A).
Patches with only one channel were not useful because openings were too
rare to collect enough data for evaluation. Therefore, we used patches
with approximately 5-10 channels. We analyzed patches that, in the
majority of recordings, had no overlapping openings during activation.
The averaged single-channel current showed slowly activating inward
current identical to the macropatch recordings (Fig.
3B). HERG channels show bursting
behavior (Fig. 3A, 2nd, 3rd, 5th, 7th,
and 8th recordings).
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Resting inactivation at holding potential of
80 mV.
If significant channel inactivation exists at a holding potential of
80 mV, the number of channels undergoing closed-state inactivation could be vanishingly small. We evaluated the amount of
steady-state inactivation at a holding potential of
80 mV by
monitoring the amplitude of the initial peak transient current at 100 mV. Channels producing the peak transient current activate directly
from resting closed states. The fast component of the first-latency
distribution (Fig. 2C) is similar to
the inactivation rate at 100 mV in solutions with high
[K+]o
(27), so contributions from channels recovering from inactivation during the transient should be minimal. We used average currents from
multichannel recordings to obtain sufficient data at several potentials
in the same patch. Under our solution conditions, average peak currents
were identical at potentials of
120 to
80 mV, indicating
the absence of inactivation at
80 mV in our recordings (Fig.
4). Inactivation does appear when the patch
is held at
60 mV (Fig. 4,
inset). We obtained similar data
from three other multichannel patches. Therefore, channels that fail to
open at 100 mV but that do open at
120 mV may have occupied
resting closed states before depolarization, entered an inactivated
state directly from a closed state during depolarization, and opened
only after recovering from inactivation at
120 mV.
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Comparison of single-channel currents near threshold and at 100 mV.
The single-channel currents at 100 mV
(n = 11) had a mean amplitude of 0.38 ± 0.09 pA (Fig.
5A).
The open probability (Fig. 5C)
showed a pattern similar to that of the macropatch measurements (Fig.
1B) with a prominent initial
transient component. The open-time distribution could be fitted
monoexponentially (Fig. 5E), and we
obtained an average open time of 2.5 ± 0.49 ms
(n = 11) from all our data. The
closed-time distribution was fitted by a sum of three exponentials with
closed,1 = 0.78 ± 0.26 ms,
closed,2 = 6.7 ± 4.3 ms,
and
closed,3 = 66 ± 28 ms
(Fig. 5G). The burst-duration distribution gave
burst = 5.2 ± 1.7 ms (Fig. 5I).
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40 mV to increase the
frequency of channel openings, we analyzed burst data with no
overlapping openings. Single-channel parameter analysis at
40 mV
gave a mean amplitude of 0.32 ± 0.07 pA
(n = 5) (Fig.
5B). The open-probability
distribution at this potential showed a slow sigmoidal rising phase
with no peak transient and was similar to that of macropatch recordings
(Fig. 5D). The open-time
distribution could be fitted with a monoexponential function (Fig.
5F), and we obtained an average open
time of 3.2 ± 0.53 ms (n = 5) from all our data. The closed-time distribution was triexponential with
closed,1 = 0.95 ± 0.20 ms,
closed,2 = 3.7 ± 0.8 ms,
and
closed,3 = 45 ± 14 ms
(n = 5) (Fig.
5H). The values for
closed,2 and
closed,3, but not for
closed,1, depend on the number
of channels in the patch and underestimate the true values of the slower closed times. Nonetheless, three closed-time components were
detected in agreement with the data at 100 mV from patches with only
one active channel. The burst-duration distribution gave
burst = 14.8 ± 2.9 ms
(n = 5) (Fig.
5J).
Single-channel currents between
120 and 100 mV.
We evaluated single-channel openings at several voltages in our
patches. The analysis includes data from multichannel patches with few
recordings displaying overlapping openings. By analyzing bursts without
overlapping openings, it is possible to evaluate the amplitude, open
time, rapid closed time, and burst duration (2). We found that the
single-channel current-voltage relation (i-V) is linear in the inward
direction and shows inward rectification in the outward direction (Fig.
6A). The
calculated slope conductance in the inward direction was 9.7 pS, and
the reversal potential was
7 mV. The calculated chord
conductance at 100 mV was 3.5 pS. The open times were nearly voltage
independent (Fig. 6B). The rapid
closed time was voltage independent (Fig.
6C). Burst duration was strongly
voltage dependent with a bell shape characteristic (Fig.
6D).
burst became shorter with more
depolarized potentials. During hyperpolarization, the burst duration in
the tail currents was 20.2 ± 0.6 ms
(n = 2) at
60 mV, reached a
maximum at
80 mV [23.8 ± 4.3 (n = 3)] and
100 mV
[24.6 ± 3.5 (n = 5)],
and became shorter at
120 mV [14.0 ± 3.7 (n = 7)].
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open = 3.0 ± 0.77 ms,
closed,1 = 0.92 ± 0.32 ms,
burst = 5.5 ± 0.9 ms].
Rectification of instantaneous macropatch currents.
Inward rectification of the single-channel conductance was confirmed in
macropatch measurements when we measured the instantaneous macroscopic
current-voltage relation (I-V) after
removal of inactivation (19). Measurements were done in a 100 mM
[K+]o
solution in the cell-attached mode with a two-step protocol. We stepped
first from a holding potential of 0 mV to a potential of
80 mV
to remove inactivation and then, in a second step, to various test
pulses to measure the instantaneous
I-V curve (Fig. 7A). The
instantaneous I-V showed that the
conductance in the inward direction is virtually linear but is
rectified inwardly in the outward direction
(n = 7) (Fig.
7B), similar to the single-channel measurements (Fig. 6A). With this
protocol we could also measure the rate of inactivation that became
faster at positive potentials, producing a crossover of the currents
and indicating that inactivation is voltage dependent.
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Modeling HERG currents.
We fitted kinetic models to the macropatch currents at a 100-mV test
pulse potential and
120-mV tail current potential (Fig. 1B) with the nonlinear least-squares
method. Activating and tail currents could be fitted
simultaneously using appropriate values for
i from our single-channel data. Models
were constrained to have the experimentally determined open time and
fast closed time. We found that the transient peak at 100 mV was the
most difficult kinetics property to reproduce with the different models
and could be used to evaluate the models. Therefore, we show best fits
of each of the models to this transient peak (Fig.
8,
A-D). All of the models
produced visually indistinguishable fits to the tail current data (Fig.
8E).
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I) to
model closed-state inactivation. A four-state model with two closed
states produced a poor fit of the current data (Fig.
8A). A five-state model with three
closed states produced a good fit to the transient peak at 100 mV (Fig. 8B). We then tested modified
versions of this model. When we removed the
C1
I transition (Fig.
8C), the fit to the transient peak was poor. However, the five-state model without the transition pathway
from the open state to inactivation (O
I) produced an indistinguishably good fit to the transient peak (Fig.
8D). This model was tested further
at different test-pulse potentials with the experimentally obtained
values for open and rapid closed times and the single-channel amplitude
i. Initial state occupancies were
specified so that all channels occupied the closed state farthest from
the open state at rest. Model parameters were most sensitive to scatter
in the data for the fast closed time. Because the fast closed time is
voltage independent (Fig. 6C), we
used its average value calculated from data obtained at all potentials. This average value was the constraint for the fast closed time (duration of a sojourn in C1) at
each potential. The number of channels was optimized for the
depolarization record for 100 mV and kept constant for all other
potentials. Transition rates for deactivation at
120 mV were
optimized with the depolarization recording for 100 mV and kept
constant for all other activation potentials. Figure
9A shows
the macropatch recordings overlaid with simulated model currents at
40-, 60-, 80-, and 100-mV test pulses at which direct single-channel
values were obtained. The transition rates are displayed in Table
1.
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120 mV. As an example, the transition rates are given in an arrow diagram for the model at 40 mV (Fig. 9C). The transition rate
for closed-state inactivation (C1
I; 0.568 ms
1) is similar to the
opening rate (C1
O; 0.588 ms
1). The probability of
the channel leaving C1 to I is
48%, that of leaving C1 to O is
50%, and that of leaving C1 to
C2 is 2%. This agrees with our
experimentally observed frequency of closed-state inactivation
of 55%. At the end of the 40-mV, 400-ms test pulse, 94% of channels have accumulated in the inactivated state I (Table 2). During repolarization at
120 mV,
the majority of channels open before returning to resting closed states
(Fig. 9D). The probability of
leaving C1 to O is 94%, that of
leaving C1 to
C2 is 6%, and that of leaving
C1 to I is insignificant. Channels accumulate in the C2 state during
deactivation because the tail current is non-zero at the end of the
pulse. We examined the ability of this model to predict currents with a
different voltage protocol. The model was used to fit the
macropatch data in Fig. 9B (same as in Fig. 7A). The voltage protocol
(described in legend to Fig. 7) generates an instantaneous
I-V after removal of inactivation. Model fits to the data are shown superimposed on the original recordings in Fig. 9B. At some
potentials good fits of the data to the instantaneous current
immediately after the voltage step from
80 mV to positive
potentials could not be obtained using mean values from our
single-channel amplitude measurements. We obtained satisfactory fits to
the instantaneous current by optimizing the single-channel amplitudes
within the standard deviation of the amplitude measurements at a given
potential. The values for the channel amplitude
i, N,
and transition rates for the step to
80 mV were optimized for
the second voltage step to 100 mV and fixed at these values for second
voltage steps to 80, 60, 40, and
40 mV. The fits overlay the
currents.
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DISCUSSION |
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Efficiency of HERG channels in repolarizing cardiac action
potential.
In this paper we provide direct experimental evidence that HERG
inactivates from a closed state during depolarization and opens during
repolarization. A two-step protocol revealed the frequent occurrence of
failures during the test pulse at positive potentials followed by
openings during the tail pulse at negative potentials. To make this
statement, it is important to determine precisely the number of missed
events under our recording conditions. We calculated that we missed
only 8% of single openings during the 100-mV pulse when we simulated
single-channel currents with a 2-ms mean open time. Moreover, there is
no significant steady-state inactivation of HERG at
80 mV. This
indicates that many of the channels used the closed-to-inactivated
state transition. In the data in Fig.
2A, 55% of recordings showed no
openings during the depolarization but did show openings during the
following repolarization. We estimate that 92% of these recordings
were produced by failure of the channel to open during the
depolarization because it inactivated from a closed state. Cloned
neuronal A-type potassium channels are also known to reopen during
recovery from inactivation (14). Closed-state inactivation
and opening during recovery from inactivation make HERG the ideal
channel to perform repolarization without shortening the plateau phase
of the cardiac action potential. If inactivation were strongly coupled
to opening (linear model in Fig.
8C), outward current would markedly
affect early repolarization and the plateau phase of the cardiac action potential.
Basis of peak transient current. HERG currents produced a small, peak transient at positive potentials, which has also been reported for IKr recorded in human atrial (28) and ferret cardiomyocytes (13). The peak probably arises from the fraction of channels with brief first latencies that transit the open state before they inactivate. The persistent, small current (Figs. 1B and 8) may result from a fraction of slowly activating HERG channels at 100 mV or incomplete inactivation, or a combination of both. In support of incomplete inactivation of HERG-channel activity, on rare occasions we observed second openings during depolarizations after pauses too long to be associated with bursting, suggesting that the channel inactivated and then reopened (see Fig. 2A, 8th recording).
Steady-state inactivation of HERG channels.
We used a holding potential of
80 mV for our single-channel
studies. Because channels already inactivated at
80 mV will fail
to open during the step to 100 mV but will recover in the step to
120 mV, they will be indistinguishable from channels that
inactivated before opening during activation. This will result in an
overestimation of the frequency of closed-to-inactivated transitions.
In our analysis, we assume that channels are not inactivated at the
holding potential of
80 mV. Previous measurements of HERG and
IKr steady-state
inactivation in 98 mM K+ are
consistent with no significant steady-state inactivation at
80
mV (27), but other measurements have found a much more negative
midpoint for steady-state inactivation (19). In fact, most of our
evidence for 55% probability of closed-state inactivation could be
accounted for by steady-state inactivation at the holding potential of
80 mV in the vicinity of 50%. This possibility has to be
considered, because Smith at al. (19) obtained a midpoint for
inactivation of HERG channels expressed in HEK293 cells of
90 mV.
60 mV, requiring short-duration voltage steps. Two protocols have been used to
measure steady-state inactivation (19, 27). Because of the small
conditioning-pulse durations employed and HERG-inactivation time
constants that can be similar to the pulse duration in solutions with
high
[K+]o,
the inactivation-voltage relations may deviate significantly from
steady state.
The presence of inactivation at
80 mV can be critically tested
by measuring availability at more negative conditioning potentials. We
focused on the initial peak transient current at 100 mV as an index of
channel availability because long (many seconds) holding potentials can
be used and because the experiments are the same as those for our
single-channel recordings, except for the holding potential. Although
the current at 100 mV is small in amplitude, it is generated primarily
by channels that occupied resting closed states before the step to 100 mV (see Resting inactivation at holding potential of
80
mV). These channels open for the first time and then
inactivate during the time of the transient (~30 ms). At 100 mV,
channels are unlikely to reopen from inactivated states during the time
of the peak transient, so peak current amplitude should be proportional
to the number of resting channels available for activation at a
particular potential. We found that the peak transient was unchanged by
varying holding potential from
120 to
80 mV but did
become reduced at a holding potential of
60 mV. This result is
in agreement with the steady-state inactivation-voltage relation
described by Wang et al. (27) for HERG channels measured with 98 mM
[K+]o
in oocytes. Kiehn et al. (10) measured the steady-state
inactivation-voltage relation with a protocol similar to that of Smith
et al. (19) and found with 5 mM
[K+]o
that the midpoint of inactivation was
68 mV. At the same
[K+]o
used by Smith et al. (19), Taglialatela et al. (22) obtained a midpoint
of
62 mV for HERG channels expressed in oocytes. Because we
expect a positive shift of the inactivation-voltage relation at higher
[K+]o,
in our solutions the midpoint of the inactivation-voltage relation will
be positive to these values by at least 10-20 mV. The difference
in the midpoint values measured with similar protocols suggests that
HERG channels expressed in oocytes are not equivalent to HERG channels
expressed in HEK293 cells.
HERG and IKr have similar properties. Single-channel kinetics parameters and conductance of HERG were similar to reported values for IKr. IKr unitary currents measured in sinoatrial nodal cells of the rabbit heart have (in 150 mM [K]o) an inward single-channel conductance of 11.1 pS (18) or inward/outward conductances of 10.8/7.8 pS (7), with values of 10/3 pS in guinea pig atrial myocytes (5) and 10.8 pS (inward) in rabbit ventricular myocytes (25). IKr in human ventricular myocytes has an inward single-channel conductance of 12.9 pS in 140 mM [K]o (26). Measurements of single HERG channels expressed in oocytes found an inward/outward conductance of 12.1/5.1 pS in 120 mM [K]o (29). Our value for HERG unitary inward/outward current was 9.7/3.5 pS in 100 mM [K]o. The conductance properties for HERG and IKr are in good agreement.
IKr single-channel kinetics analysis shows evidence for a single open state and two closed states in rabbit sinoatrial nodal cells (18) and guinea pig atrial myocytes (5). The open state in 150 mM [K]o in sinoatrial nodal cells is short lived (
open = 2.5 ms at
60 mV)
relative to the value for guinea pig atrial myocytes
(
open = 9 ms at
100 mV). In guinea pig
atrial myocytes the relatively large value of
open reported for
IKr may actually represent a mean burst duration
(
burst), because the authors describe the distribution used to generate
open as the distribution of
burst durations and used a relatively slow sampling rate for data
acquisition (5).
HERG channels expressed in oocytes are reported to have open dwell-time
constants similar to those for
IKr. However, one
report has found kinetics evidence from HERG recordings for two open states. HERG open-time distributions in 120 mM
[K]o were best fit
with biexponential distributions with mean values at
90 mV of
2.9 and 11.8 ms for the fast and slow components, respectively (29). We
did not find evidence for a statistically significant second,
kinetically distinct open state in our HERG data and obtained
open = 2.8 ms at
120 mV
and
open = 2.5 ms at 100 mV.
Mean open times in our data were weakly voltage dependent, becoming
shorter with increasing depolarization as reported previously for HERG (29) and IKr
(18).
IKr values in 150 mM [K]o for mean fast
and slow closed times in rabbit sinoatrial nodal cells are
biexponential with values of 0.7 and 17.6 ms at
60 mV (18), and
comparable values of 1.2 and 37 ms at
100 mV were obtained from
guinea pig atrial myocytes (5). Closed-time distributions from HERG
expressed in oocytes are also biexponential and yield estimates for the mean fast and slow closed times of 0.54 and 14.5 ms, respectively, at
90 mV that are similar to the values for
IKr (29). Our
closed-time distributions are distinguished from previous measurements
in observing three closed-time distribution components. The additional closed-time component in our data has a value (6.7 ms at 100 mV) intermediate to the fast and slow components reported for HERG and
IKr. The slowest
component in our closed-time data has a time constant (66 ms at 100 mV)
that is larger than that in previous reports. The mean fast closed time
was voltage independent in our data, as in data for
IKr (18), and was
not significantly voltage dependent for HERG (29). Previous data from
HERG and IKr
unitary currents are consistent with burst gating of the channels. Our
data shows that burst duration has a bell-shaped voltage dependence and
suggests that bursts may be organized into clusters.
Inward rectification of HERG conductance. The single-channel conductance of HERG rectifies inwardly (Fig. 6A), as does the instantaneous tail current I-V (Fig. 7B) in our macropatch recordings. When patches were excised in a solution containing zero Mg2+ and zero Na+, the single-channel rectification was not changed, similar to that for IKr (7). This rectification is therefore not produced by soluble internal blocking particles (30) and may be intrinsic to the ion-conduction pathway itself. However, rectification of macroscopic currents appears to be due primarily to voltage-dependent gating of the channel, resulting in reduced open probability at depolarized potentials (19, 21). Rectification of the single-channel conductance only appears at much more positive potentials. Therefore, rectification produced by HERG pore structures appears to be more of biophysical than of physiological interest. Our instantaneous tail current measurements are similar to other results (19, 21) that showed a linear instantaneous I-V up to 40 mV. These authors have invoked C-type inactivation as an explanation.
A model of HERG kinetics. Others have successfully used a linear five-state kinetics scheme to quantitatively model macroscopic HERG currents expressed in oocytes without single-channel constraints (27). From our data a minimum five-state constrained model was also required to adequately fit all our experimental data (Figs. 8 and 9). Variations of this model showed that inactivation exclusively from the proximal closed state (Fig. 8D) was better able to fit the data than inactivation exclusively from the open state (Fig. 8C). This supports a role for closed-state inactivation during channel activation and is consistent with our single-channel data. We chose to analyze data with the model without open-state inactivation (Fig. 8D) because it fit the data as well as the more general model (Fig. 8B) with fewer parameters. We have no experimental data demonstrating the absence of open-state inactivation, so we cannot exclude the more complex general model (Fig. 8B), especially at potentials that fail to produce a transient current. All of the tested models can produce good fits to noninactivating plateau currents during depolarization and the large tail current on repolarization. In the absence of experimental constraints, simpler four-state models can also produce good fits of the data. The open time and the rapid closed time of HERG are nearly voltage independent (Fig. 6, B and C). The same has been reported for cloned Shaker K+ channels in the absence of N-type inactivation (6). However, in the models with closed-state inactivation, there is an inverse relationship in the voltage dependence of the rates from the fast closed state to the inactivated state and the open state such that their sum is voltage independent, as required by the voltage independence of the fast closed time constraint. In these models this is the mechanism responsible for strong inward rectification of HERG currents.
In summary, our data provide more evidence that HERG encodes IKr in cardiomyocytes. Its exceptional kinetic features make HERG an efficient channel for producing the downstroke of the cardiac action potential (21). Because IKr in cardiomyocytes is difficult to separate from other currents, HERG expressed in Xenopus oocytes is a satisfactory system in which to study the kinetics of IKr.| |
ACKNOWLEDGEMENTS |
|---|
J. Kiehn and A. E. Lacerda contributed equally to this work.
| |
FOOTNOTES |
|---|
We thank Dr. G. Kirsch for comments on the manuscript, P. Kiehn and Dr. W. Q. Dong for technical assistance, and Dr. M. Keating for providing the HERG clone.
This study was supported by a Deutsche Forschungsgemeinschaft Grant (to J. Kiehn) and National Heart, Lung, and Blood Institute Grants HL-37044 and HL-36930 (to A. M. Brown).
Present address of J. Kiehn: Dept. of Cardiology, Medical Univ. Hospital, Bergheimerstr. 58, 69115 Heidelberg, Germany.
The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. §1734 solely to indicate this fact.
Address for reprint requests and other correspondence: A. E. Lacerda, Rammelkamp Center, 2500 MetroHealth Drive, Cleveland, OH 44109-1998 (E-mail: alacerda{at}research.mhmc.org).
Received 10 April 1998; accepted in final form 16 February 1999.
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