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The Journal of Neuroscience, March 1, 2002, 22(5):1550-1561
Consequences of the Stoichiometry of Slo1 and
Auxiliary Subunits on Functional Properties of
Large-Conductance Ca2+-Activated K+
Channels
Ying-Wei
Wang,
Jiu Ping
Ding,
Xiao-Ming
Xia, and
Christopher J.
Lingle
Departments of Anesthesiology and Anatomy and Neurobiology,
Washington University School of Medicine, St. Louis, Missouri 63110
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ABSTRACT |
Auxiliary subunits play a major role in defining the functional
properties of large-conductance, Ca2+-dependent
BK-type K+ channels. In particular, both the 1
and 2 subunits produce strong shifts in the voltage dependence of
channel activation at a given Ca2+. subunits are
thought to coassemble with subunits in a 1:1 stoichiometry, such
that a full ion channel complex may contain up to four subunits per
channel. However, previous results raise the possibility that ion
channels with less than a full complement of subunits may also
occur. The functional consequence of channels with differing
stoichiometries remains unknown. Here, using expression of and subunits in Xenopus oocytes, we show explicitly that functional BK channels can arise with less than four subunits. Furthermore, the results show that, for both the 1 and 2
subunits, each individual subunit produces an essentially
identical, incremental effect on the voltage dependence of gating. For
channels arising from + 2 subunits, the number of 2 subunits
per channel also has a substantial impact on properties of steady-state
inactivation and recovery from inactivation. Thus, the stoichiometry of
: subunit assembly can play a major functional role in defining the apparent Ca2+ dependence of activation of BK
channels and in influencing the availability of BK channels for activation.
Key words:
auxiliary subunits; BK channels; Ca2+-
and voltage-gated K+ channels; Slo1
channels; inactivation; ion channel stoichiometry; gating
mechanisms
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INTRODUCTION |
Large-conductance,
Ca2+-activated BK-type
K+ channels exhibit substantial functional
diversity (McManus, 1991 ; Vergara et al., 1998 ) contributed, in part,
from coexpression of the pore-forming Slo subunit
(Adelman et al., 1992 ; Butler et al., 1993 ) with members of an
auxiliary subunit family. At present, four mammalian subunits
have been identified (Knaus et al., 1994b ; Wallner et al., 1999 ; Xia et
al., 1999 , 2000 ; Brenner et al., 2000 ; Meera et al., 2000 ; Uebele et
al., 2000 ; Weiger et al., 2000 ). Both the 1 and 2 subunits
result in pronounced negative shifts in the voltage of half-activation
at a given [Ca2+] (McManus et al., 1995 ;
Wallner et al., 1995 , 1999 ; Xia et al., 1999 ; Brenner et al., 2000 ).
Both the 2 (Wallner et al., 1999 ; Xia et al., 1999 ) and 3b
(Uebele et al., 2000 ; Xia et al., 2000 ) subunits result in kinetically
distinct inactivating BK channels.
subunits can exist in a 1:1 stoichiometry with subunits (Knaus
et al., 1994a ): four subunits can coassemble with four subunits
into an intact BK channel. Previous work on inactivating BK
(BKi) channels in rat chromaffin cells (Ding et
al., 1998 ) suggests that the variability in inactivation behavior might
arise from differential stoichiometry of some inactivation-competent subunit in the channel population (Ding et al., 1998 ). Given the presence of 2 subunit message in rat chromaffin cells (Xia et al.,
1999 ) and the similarity of + 2 currents to
BKi currents (Wallner et al., 1999 ; Xia et al.,
1999 ), one possibility is that, in rat chromaffin cells, channels occur
with less than a 1:1 assembly of 2: subunits. The dependence of
BK channel properties on : coassembly was also examined in
Xenopus oocytes by varying the ratio of coinjected 1 and
subunits (Jones et al., 1999 ). This work proposed the view that
1 subunits produced an all-or-none shift in gating properties of the
resulting BK channels (Jones et al., 1999 ).
These previous studies raise interesting questions concerning the
functional consequences that result from less than a full 1:1
stoichiometric assembly of and subunits BK. First, it remains
unclear whether BK channels can form with less than four subunits.
Second, if BK channels can contain less than four subunits, what is
the role that a single subunit plays in influencing the various
functional properties of the channel? To address these issues, we use
the inactivation properties conferred on BK channels by the 2
subunit as an indicator of 2: subunit stoichiometry within a
channel population that can then be related to other functional
properties. The results demonstrate that BK channels that contain less
than four subunits can occur. Furthermore, channels with less than
a full complement of subunits show gating properties and
inactivation behavior that scale with the average number of subunits per channel.
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MATERIALS AND METHODS |
Expression in Xenopus oocytes. The
preparation of the 1 and 2 expression constructs used here has
been described previously (Xia et al., 1999 ). Two other constructs used
here were also described in previous work (Xia et al., 1999 ): first,
the 2- 33 construct in which 33 N-terminal amino acids were
removed from the 2 subunit; and second, a construct in which the 33 initial amino acids from the 2 N terminus were appended to the N
terminus of the 1 subunit. This latter construct is here termed
1-C2. The subunit used here was the mouse Slo1
construct used previously (Xia et al., 1999 ), which corresponds to a
zero amino acid insert at splice site 1 and a three amino acid insert
at splice site 2. Methods of expression in Xenopus oocytes
were as described previously (Xia et al., 1999 ).
After injection, oocytes were maintained in ND96 (in mM: 96 NaCl, 2.0 KCl, 1.8 CaCl2, 1.0 MgCl2, and 5.0 HEPES, pH 7.5) supplemented with
sodium pyruvate (2.5 mM), penicillin (100 U/ml),
streptomycin (100 mg/ml), and gentamycin (50 mg/ml). Oocytes were used
for electrophysiological experiments 1-7 d after injection of cRNA.
Ratios of the injected : subunits are identified in specific
experiments. These ratios reflect the ratio of weights of injected material. cRNA preparations typically result in ~1 ng/µl,
regardless of RNA species. The molecular weight of Slo1 cRNA is approximately fivefold greater than that of 1 and 2 cRNA.
Thus, at a 1:1 ratio by weight, subunits are expected to be in an
approximately fivefold molar excess over subunits. In our
experience, the same nominally identical ratio may not yield identical
results over time or in different batches of oocytes, even when we are
reasonably confident that RNA degradation has been minimized. To
minimize degradation problems that might be associated with freezing
and thawing, each preparation of RNA was separated into aliquots at the
time of preparation, and a separate aliquot was used for each
injection. Another potential problem is that, for distinct
nonhomologous RNA species (i.e., and cRNA), it is not clear how
the injected ratio may relate to the stoichiometry of assembly. To
circumvent this problem, we have therefore used the properties of
inactivation as independent estimators of the stoichiometry of channel assembly.
Electrophysiology. Macroscopic and single-channel current
measurement follow methods in standard use in this laboratory. For these experiments, currents were recorded in the inside-out patch mode
(Hamill et al., 1981 ). Digitization for macroscopic currents was
typically at 10-50 kHz with analog filtering during acquisition (5-20
kHz, Bessel low-pass filter, 3 dB). For single-channel experiments,
digitization was at 100 kHz, with 5 kHz filtering. Preparation of the
pipette solution and Ca2+ solutions has
been described previously (Wei et al., 1994 ; Xia et al., 1999 ). The
pipette extracellular solution was (in mM): 140 potassium
methanesulfonate, 20 KOH, 10 HEPES, and 2 MgCl2, pH 7.0. Test solutions bathing the cytoplasmic face of the patch membrane contained (in mM): 140 potassium methanesulfonate,
20 KOH, 10 HEPES, pH 7.0, and one of the following: 5 mM
EGTA (for nominally zero Ca2+ and 0.5 and
1 µM Ca2+ solutions), 5 mM HEDTA (for 4 and 10 µM
Ca2+ solutions), or no added
Ca2+ buffer (for 60, 100, and 300 µM and 1 and 5 mM
Ca2+ solutions). The methanesulfonate
solutions were calibrated against a commercial set of
Ca2+ standards (WPI, Sarasota, FL). which
yielded values essentially identical to our own
Cl -based standards. Local perfusion of
membrane patches was as described previously (Solaro and Lingle, 1992 ;
Solaro et al., 1997 ).
pClamp 7.0 or pClamp 8.0 for Windows (Axon Instruments, Foster City,
CA) was used to generate voltage commands and to digitize currents.
Current values were measured using ClampFit (Axon Instruments), converted to conductances, and then fit with a custom nonlinear least
squares fitting program. Conductance-voltage (G-V)
curves for activation were fit with a Boltzmann equation with the
form:
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(1)
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where V0.5 is the voltage of half-maximal
activation of conductance, and k is the voltage dependence
of the activation process (mV 1).
Experiments were done at room temperature (21-24°C). All salts and
chemicals were obtained from Sigma (St. Louis, MO).
Simulation of G-V curves based on partial occupancy
of 2 subunit binding sites. The strategy for evaluation of the
functional consequences of channel populations containing differing
stoichiometries of : subunits follows that outlined in previous
work (Ding et al., 1998 ). All channels were assumed to contain four
possible subunit binding sites. Fractional occupancy by subunits of those sites was assumed in all cases to follow a binomial
distribution. At a given fractional occupancy, the fraction of channels
in any of the possible stoichiometries was then calculated, and the
contribution of channels of a particular stoichiometry to the overall
G-V curves was determined based on different assumptions
(e.g., independence, positive cooperativity, or negative cooperativity)
about subunit effects (Ding et al., 1998 ). Time constants for
inactivation of a channel population containing + 2 subunits in
differing stoichiometries would be expected to exhibit up to four
exponential components (corresponding to the presence of one to four
inactivation domains). However, empirically, the relative amplitudes
and time constants of these components result in currents that decay
with a time course that can be reasonably approximated by a single
exponential (Ding et al., 1998 ). To generate predictions for the
inactivation time constant for channel populations containing some
average number of 2 subunits per channel, currents were simulated
and fit with single exponentials.
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RESULTS |
Inactivation properties of + 2 currents indicate that
channels can contain less than four inactivation domains and that
inactivation domains act in an independent manner
Previous work has suggested that the inactivation properties of
native inactivating BK currents among different chromaffin cells can be
used as indicators of the average stoichiometry of assembly of
inactivating and noninactivating subunits (Ding et al., 1998 ). At least
in regard to inactivation behavior, each inactivating subunit appears
to behave in an independent manner. Thus, the average number of
inactivating subunits per channel within a population of channels
defines the average inactivation rate of channels in that population.
With identification of the 2 auxiliary subunit in chromaffin cells
(Xia et al., 1999 ), this raised the possibility that variability in the
average number of 2 subunits (or other inactivating subunit) per
channel may account for the previous observations in chromaffin cells.
If, in fact, inactivation properties and i
provide a direct assay for the stoichiometry of 2: subunits in a
channel population; it therefore becomes possible to examine the
consequences of subunit stoichiometry on other channel functional
properties without having specific information about the expression
levels of subunits within the cell. This is particularly advantageous
when it is unclear to what extent oocyte-to-oocyte variability or
variability in RNA preparations may have an impact on the ability of
subunits to be expressed. Using this strategy, we have therefore sought to address how channel stoichiometry may affect other functional properties of the resulting BK channels.
Specifically, the 2 subunit was coinjected with mSlo subunits into Xenopus oocytes at different ratios, and the
following aspects of BK channel function were determined: (1) the
relationship between conductance and activation voltage at 10 and 300 µM Ca2+; (2) the
rates of onset and recovery from inactivation; (3) the ratio of
inactivating to noninactivating current; and (4) the voltage dependence
of steady-state inactivation.
Figure 1 shows families of currents
activated by depolarizing voltage steps at either 10 or 300 µM Ca2+ for four different
injection ratios of 2 and subunits. Qualitatively, as the
relative amount of 2 subunit is reduced, there is less current
activation at potentials negative to zero, i
is slowed, and there is a larger noninactivating component of current
at the end of the most depolarized voltage step. All of these changes are those expected for a model in which various indicators of BK
channel function scale in accordance with the average number of 2
subunits per channel. This is examined more explicitly below. Another
feature of the currents shown in Figure 1 is that peak current
activated at positive command potentials is smaller with 300 than with
10 µM Ca2+. This reflects
the persistence of steady-state inactivation even after a 100 msec step
to 180 mV.

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Figure 1.
Decreasing the ratio of injected 2: subunits
slows the inactivation time constant of + 2 currents.
A-E, Traces show currents obtained in
inside-out patches, with each patch from an oocyte injected with the
indicated ratio of 2: subunits. From top to
bottom, traces correspond to oocytes
injected with 1:1 2: (A), 0.05 2:
(B), 0.025 2: (C),
0.01 2: (D), and alone
(E). Left traces were obtained in
10 µM Ca2+, and right
traces were obtained in 300 µM
Ca2+. Traces show currents activated
to potentials between 100 and +120 mV in steps of 20 mV, with tail
currents at 120 mV with a prepulse to 180 mV. The reduction in peak
current activation with 300 µM Ca2+
corresponds to the additional steady-state inactivation of channels at
180 mV.
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The slowing of i as a function of the injected
ratio of 2: subunits is illustrated in Figure
2A for currents
obtained with 300 µM
Ca2+ at either +100 or +160 mV.
i reaches a limit of ~20 msec, at ratios of
both 1:1 and 2:1 suggesting that maximal occupation of subunits by
2 subunits has occurred. The slowest observed values of
i are ~90 msec. This value is a bit larger
than the theoretical limit of 80 msec predicted for an inactivation
model involving four independent inactivation domains, in which 20 msec is the minimal i. However, measurement of the
slowest i values can be influenced by other
factors. For example, at positive activation potentials,
Slo1 currents, even in the absence of subunits, can
exhibit a slow reduction in current during depolarization (Fig.
1E). The presence of such additional slow blocking
components at +100 and +160 mV would tend to slow the apparent
inactivation time constant resulting from 2 subunit action, which
might account for the slower than expected time constants observed at
the 0.01 2: injection ratio.

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Figure 2.
The inactivation properties of + 2 currents
exhibit behavior consistent with the idea that i
provides a direct indication of the average stoichiometry of 2:
subunits in the expressed channels. A, i
measured with 10 µM Ca2+ at either
+160 or +100 mV is plotted as a function of the ratio of injected 2:
subunits. Each point is the mean of four to six
patches; error bars indicate SD. B, i is
plotted as a function of command potential for 0.025 (4 patches) and
1.0 (6 patches) 2: injection ratios. At potentials of +80 mV and
more positive, the change in i is small compared with
the change produced by the different injection ratio. C,
i, peak current
(Ip), and steady-state current
(Iss) were measured at various
injection ratios from currents activated at +160 mV with 10 µM Ca2+.
fss was determined from
Iss/Ip and
plotted as a function of the inactivation time constant observed in
each patch. Each symbol corresponds to patches obtained
from oocytes at a particular injection ratio ( , 2.0; , 1.0; ,
0.1; , 0.05; , 0.025; , 0.01). The curved lines
are the predictions for the relationship between i and
fss assuming various minimal
i values (as indicated, 17.5, 20, 22.5, and 25 msec),
based on the model in which inactivation can be mediated by up to four
independently acting inactivation domains, with one domain sufficient
to produce inactivation.
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The voltage dependence of i at both low
(0.025) and high (1.0) ratios of 2: subunits is plotted in Figure
2B. Because it is known that subunits shift the
voltage dependence of activation at a given
[Ca2+], a shift in
i might occur simply because of a shift
resulting from coupling of inactivation to activation. However, over
the range of +100 to +160 mV, there is little voltage dependence to i at either injection ratio. This indicates
that the large changes in i at +160 mV that
are observed as a consequence of different injection ratios must
reflect the underlying stoichiometry of the inactivation process and
not a consequence of a shift in activation potentials.
As mentioned in Materials and Methods, the injection ratio of 2:
subunits does not provide any handle on the stoichiometry of assembly
within the oocyte. Therefore, we have attempted to use the inactivation
behavior to reveal something about channel stoichiometry. As above, we
measured i during activation steps to +160 mV
at 10 µM Ca2+. For the same
currents, we also measured the peak current activated by the voltage
step to +160 mV and the steady-state current at the end of the voltage
step (300 msec). For the simple model in which channel stoichiometries
are defined by a binomial distribution and up to four 2 subunits
independently contribute to the onset of inactivation (MacKinnon et
al., 1993 ; Ding et al., 1998 ), the ratio of steady-state current to
peak current (fss) should vary in accordance with I: at the largest
steady-state current, i should reach a
limiting value that is approximately fourfold slower than the fastest
values of i. The conditions for these
experiments were chosen for the following reasons. At 10 µM Ca2+, there is
minimal steady-state inactivation at a potential of 140 mV, so that a
subsequent activation step should define the maximal current expected
for the total population of expressed channels (Ding and Lingle, 2002 );
+160 mV was used as an activation step so that the kinetics of channel
opening at 10 µM
Ca2+ are relatively fast compared with the
onset of inactivation. A drawback of the use of a step to +160 mV is
that there are usually slow "inactivation" components, perhaps
because of a divalent cation block that may contaminate the estimate of
i and steady-state current. This latter issue
is most problematic for the smaller 2: ratios.
The relationship between changes in i as a
function of fss is plotted in Figure
2C for several 2: injection ratios. Over the range of
injection ratios used, i ranged from ~20
msec to time constants of >80 msec. The basic heteromultimeric model
for Shaker K+ inactivation
(MacKinnon et al., 1993 ) and BK channel inactivation (Ding et al.,
1998 ) would predict that, at the limit of the lowest ratios of 2:
subunits, i should approach approximately four times that at the highest ratios. The values exhibit considerable scatter but follow the general trend required by an inactivation model in which up to four 2 subunits, each with an independently acting inactivation domain, can contribute to an intact channel containing + 2 subunits. Lines are drawn over the data showing the predictions for this model for cases in which the minimal i is 17.5-25 msec. At the lowest
fss, the results appear to follow the
expectations for the lines corresponding to minimal
i values of ~20 msec. As
fss increases, values for
i deviate from the theoretical expectations.
This was also observed in rat chromaffin cells during trypsin-mediated
removal of inactivation (Ding et al., 1998 ). The values at high
fss are likely to be in error for two
reasons. The slow blocking processes mentioned above will result in
slower values of I, and any additional slow
blocking processes will also reduce the value of
fss. Both errors will contribute to
the observed deviation at the lower injection ratios. However, the
change in i relative to
fss argues strongly that channels can
assemble with less than a full complement of 2 subunits and that
each subunit acts in an independent manner to contribute to the onset
of inactivation.
Each 2 subunit contributes incrementally to the shift in
activation V0.5
To examine the dependence of the activation of conductance on
various injection ratios, G-V curves (for 10 µM, Fig.
3A; for 300 µM, Fig. 3B) were calculated from
measurement of peak currents. As the 2: ratio is reduced,
V0.5 at either 10 or 300 µM Ca2+ is shifted
to more positive potentials approaching the values for alone at the
lowest 2: ratios. For this set of patches, the full shift in
G-V curves resulting from the 2 subunits was 77.8 mV at
10 µM and 66.3 mV at 300 µM.

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Figure 3.
G-V curves shift in a parallel
manner as a function of the injected ratio of 2 to subunit
message. Currents were generated as in Figure 1, and peak current
amplitude during each activation step was used to generate
G-V curves. Each point at a given
injection ratio represents the mean value ± SD for a set of
patches ( , alone, 5 patches; , 0.01 2: , 4 patches; ,
0.025 2: , 4 patches; , 0.05 2: , 5 patches; , 0.1 2: , 6 patches; , 1.0 2: , 5 patches; , 2.0 2: , 4 patches). A, Curves were generated with 10 µM Ca2+. Solid lines
are fits of Equation 1 with values for V0.5 of +49.6,
+34.9, +21.3, +4.1, 8.2, 22.5, and 20.1 mV for 2: ratios of
0, 0.01, 0.025, 0.05, 0.1, 1, and 2, respectively. Values of
k, for the same ratios, were +17.3, +19.6, +21.7, +23.5,
+23.0, +18.8, and +22.4 mV. B, Curves were generated
with 300 µM Ca2+. Values for
V0.5 were 23.0, 37.7, 54.3, 64.2, 74.4, 87.1,
and 85.3 mV for the same injection ratios as in A,
with values for k of +22.6, +19.9, +21.8, +22.9, +24.6,
+27.1, and +23.6 mV. C, G-V curves were
calculated for a channel population containing some average number of
2 subunits per channel, distributed binomially in the channel
population. The numbers correspond to the percentages of
the total numbers of possible sites on subunits that are occupied
by 2 subunits. The V0.5 for activation of a channel was
assumed to shift incrementally with the number of 2 subunits
associated with the channel. Channels with zero 2 subunits were
assumed to have a V0.5 of +35 mV, whereas those with four
2 subunits had a V0.5 of 35 mV; while
k = +17 mV for all stoichiometries. Fits of
Equation 1 yielded values for V0.5 of 35, 21.2, 7.1,
+7.1, +21.2, and +35 mV, with values for k of +17,
+19.1, +20.1, +20.1, +19.1, and +17 mV. D,
G-V curves were calculated as in C,
except that the V0.5 for a channel containing one to three
2 subunits was assumed to be identical to that of a channel
containing four 2 subunits. Thus, V0.5 was defined in an
all-or-none manner by the presence of a single 2 subunit.
E, G-V curves were calculated assuming
positive cooperativity in the activation process from association of
each additional 2 subunit with a channel. For each stoichiometry,
the V0.5 values were +35, +32.11, +26.63, +10.80, and 35
mV at average numbers of zero to four 2 subunits per channel. The
increment of shift was defined from (maximal shift)1/4.
F, G-V curves were calculating assuming
negative cooperativity, which was indistinguishable from the case shown
in D. As in E, changes in
V0.5 were defined by the one-fourth root of the full shift,
except that the largest shift results from a single 2 subunit.
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There are two possible explanations for the action of subunits that
might affect the shift in G-V curves. In one case, as the
mole fraction of 2 subunits is reduced, the fraction of channels containing less than four 2 subunits will be increased. The shift in
V0.5 could arise from channels with less than a
full complement of 2 subunits having a smaller shift in
V0.5 than those with four 2 subunits. In this
case, the G-V curves would represent a binomially weighted
sum of five distinct Boltzmann functions corresponding to the five
possible 2: stoichiometries (Fig. 3C). Alternatively,
it is possible that the shift in the G-V curves arises from
changes in the proportion of two functional populations of channels,
each with a characteristic V0.5. Channels
containing one or more 2 subunits would all share a similar
V0.5, whereas those containing no 2 subunits
would appear as alone. If so, the G-V curves would
represent a weighted sum of two Boltzmann functions (Fig.
3D). This is the mechanism implied by observations in one
previous study (Jones et al., 1999 ). This latter model might also
appear to arise when there is strong cooperativity in the channel
assembly process, such that channels contain either four or zero 2 subunits.
Comparison of the expectations arising from each type of model with the
actual G-V curves obtained at 10 µM
Ca2+ (Fig. 3A) suggests that a model in
which each 2 subunit exerts some incremental contribution to the
processes involved in shifting the G-V curve better
approximates the actual results. We also considered two other cases:
first, a case of strong positive cooperativity in which each additional
2 subunit associated with a channel results in a stronger effect on
the V0.5 (Fig. 3E); and second, a case
of strong negative cooperativity in which most of the shift in
V0.5 results from the action of a single 2
subunit, with smaller effects contributed by each additional 2
subunit (Fig. 3F). The latter case was essentially
indistinguishable from the case in which a single 2 subunit
accounted for all the shift in V0.5.
The V0.5 for activation of conductance shifts in
accordance with the fraction of injected 2 subunit (Fig.
4A). Similar to the
relationship between i and 2: ratio, the
V0.5 reaches a limiting value at ratios of 1.0 and 2.0. Values for V0.5 at a ratio of 0.01 approach those for Slo1 alone. Because there is no
simple relationship between the injected ratio of 2: subunits and
the resulting channel stoichiometry, we have used the relationship between i and V0.5 to
examine the effect of stoichiometry on activation
V0.5. In Figure 4B, the
activation V0.5 measured at 10 µM Ca2+ is plotted
as a function of i. Making a specific
assumption about the minimal i,
i can then be used to make estimates of the
average number of 2 subunits per channel. Vertical lines correspond to the expected time constants for a channel population with
an average of four, three, two, and one 2 subunits per channel. It
should be realized that, except in the case of four, these expected
values for the time constants are not equivalent to those predicted
when all channels contain a given number of 2 subunits. This
analysis suggests that the values of i
obtained in these experiments probably reflect average stoichiometries
that vary from approximately four 2 subunits per channel to less
than one 2 subunit per channel. Figure 4B also
shows the predicted relationship between V0.5 and
i expected when each 2 subunit contributes an identical amount of shift in V0.5. The two
lines compare predictions for the cases in which
min is 20 and 25 msec.

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Figure 4.
Dependence of V0.5 for
activation on the stoichiometry of + 2 channels.
A, The V0.5 for activation is plotted as a
function of 2: injection ratios for either 10 or 300 µM Ca2+. Each point
shows the mean V0.5 ± SD for a set of four to six
patches. B, the mean V0.5 ± SD is
plotted as a function of i ± SD for values
measured with 10 µM Ca2+.
Vertical lines 4, 3, 2,
and 1 correspond to i expected for a
binomially distributed stoichiometry with an average of four, three,
two, and one 2 subunits per channel, respectively, with the minimum
i assumed to be 20 msec. Horizontal lines
correspond to V0.5 ± SD recorded for currents
resulting from alone. Dashed lines correspond to an
empirical relationship between V0.5 and i
for the case in which each 2 subunit produces an incremental effect
on V0.5 as shown in Figure 3C. The two
lines correspond to cases in which the minimal
i was assumed to be either 20 or 25 msec.
C, Larger symbols plot the relationship
between V0.5 and the average number of 2 subunits per
channel calculated from the inactivation time constants.
Large , Data values from B (obtained
at 10 µM Ca2+) with the assumption
that the minimum i for a channel with four 2 subunits
is 20 msec. , Same calculation but with a minimum i
of 25 msec. For this conversion, when i for a patch
exceeded the minimal or maximal i, the average
number of 2 subunits per channel was assumed to reflect either four
or zero 2 subunits, respectively. For comparison, the
V0.5 at different average numbers of 2 subunits are
shown for the cases of positive cooperativity (Fig. 3E;
) and negative cooperativity (Fig. 3F; ) and for
an additive, incremental effect of each 2 subunit (Fig.
3C; ).
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Given the scatter in experimental estimates and the variation in
V0.5 that seems to naturally occur among
different sets of experiments, caution must be taken in attempting to
relate how much shift in V0.5 may occur in
accordance with which levels of occupancy of the channels by 2
subunits. However, on the basis of the model of inactivation in which
the average i in a patch reflects some
average, binomially distributed occupancy of channels by 2 subunits,
we can calculate a predicted average number of 2 subunits per
channel, relating it to the observed values for activation
V0.5 (Fig. 4C). The estimate of 2
subunits per channel depends on the assumption of a particular value
for min, and the predicted relationship for
min values of either 20 or 25 msec is
illustrated. This procedure suggests that V0.5
appears to shift in an approximately linear manner with the number of 2 subunits per channel between the limits defined by subunits alone and full occupancy by 2 subunits. For comparison, predictions based on models with either positive or negative cooperativity (from
Fig. 3E,F) are also shown in Figure 4C,
indicating that the actual results fit better with the model in which
each subunit adds linearly to shift the gating equilibrium of the
resulting + 2 channels.
In sum, these results are most consistent with the view that each 2
subunit independently contributes a fixed amount to the shift in
activation V0.5.
Single + 2 channels exist in four different channel
stoichiometries, each with a different voltage dependence of activation
at a given Ca2+
It might be argued that the failure to observe an
all-or-none effect of a single 2 subunit reflects the possibility
that in macropatch recordings the G-V curves from two
functional types of channel (Fig. 3D) simply average to be
indistinguishable from the curves predicted for five separate
functional types (Fig. 3C). To address this possibility, we
therefore turned to single-channel recordings. In Figure
5, example sweeps and ensemble averages from single-channel patches are illustrated, corresponding to channels
that inactivated with i of 21.8, 33.4, 56.4, and 99 msec. A total of 49 single-channel patches were examined. A
frequency histogram of the number of occurrences of single-channel
inactivation time constants of various values is plotted in Figure
6A. Although the
observed values show considerable variability, a fit of a four-component Gaussian distribution indicates that the values cluster
at peaks corresponding to 22.6, 33.0, 49.1, and 99.8 msec. Although the
number of examples of more slowly inactivating channels is a bit
limited, these values correspond quite well to those that would be
predicted for four stoichiometries with fully independent inactivation
by each inactivation domain (e.g., 22, 33, 44, and 88 msec). These
results provide direct evidence that individual channels can contain
zero to four 2 subunits per channel.

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Figure 5.
Single channels resulting from + 2
coexpression reveal that individual channels can contain less than four
2 subunits per channel. A-D, Traces from four
different patches are illustrated. In each panel, the
top three traces show records of single-channel
openings, whereas the bottom trace shows the ensemble
current average. Channel openings were activated by a voltage-step to
+100 mV with 10 µM Ca2+.
A, The resulting ensemble current average exhibited a
i of 21.8 msec; B, i = 33.6 msec; C, i = 54.3 msec;
D, i = 97.9 msec. Note the
differences in the single-channel current amplitude in each case
measured at +100 mV. The tendency toward a larger single-channel
conductance with fewer numbers of subunits was consistently
observed. There is also a tendency for channels to exhibit more
frequent brief closures per unit of open time as the number of 2
subunits per channel is reduced. For each single channel trace, the
dashed lines indicate the open current level
(top) and closed current level (bottom). For
current averages, the dashed lines indicate P(0) levels of
1.0 (top) and 0.0, respectively.
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Figure 6.
Channel stoichiometry revealed by inactivation
correlates with an incremental shift in activation V0.5.
A, A frequency distribution of i values
determined from ensemble current averages for 49 single-channel patches
is plotted. i values were distributed into 5 msec bins,
and a four-component Gaussian function was fit to the binned data,
resulting in peak values of 22.6, 33.0, 49.1, and 99.8 msec, as
indicated. For an inactivation mechanism with four independently acting
inactivation domains, if channels with only one domain inactivate with
a time constant of 100 msec, channels with two to four inactivation
domains are predicted to inactivate with i of 50, 33, and 25 msec, respectively. B, A set of the channels
studied in A were briefly treated with trypsin to remove
inactivation and the relationship between P(0) and
activation potential was determined at 4 µM
Ca2+. Each filled symbol corresponds
to a different patch expressing a channel with some mixture of + 2 subunits. Open symbols correspond to patches
expressing alone. C, The relationship between
activation V0.5 and i is plotted for 15 patches studied as in A and B. Channels
that exhibited a slower i exhibited a more positive
activation V0.5. Values appear to cluster into four groups,
which were chosen by eye and indicated by the different
symbols. D, Values in C
were grouped as indicated, and V0.5 was plotted as a
function of 100/ i; 100/ i should
reflect the number of 2 subunits per channel assuming that a channel
with one 2 subunit inactivates with i = 100 msec. The value at 0 corresponds to V0.5
values for single-channel patches containing subunits only.
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An interesting aspect of the single-channel recordings was that
single-channel current amplitude at +100 mV appeared to scale with the
number of 2 subunits per channel, with smaller current amplitudes at
higher numbers of 2 subunits (Fig. 5). To confirm that observation,
single-channel current measurements were made at potentials from +20 to
+100 mV. Single-channel conductances were 214 ± 28.1 pS
( i = 21.6 ± 1.42; three patches),
228 ± 22 pS ( i = 31.3 ± 2.4 msec;
three patches), 234 ± 14 pS ( i = 48.2 ± 2.5 msec; three patches), and 278 ± 15 pS
( i = 98.8 ± 1.2 msec; two patches), with
extrapolated zero current potentials of <2 mV. The estimate under
these conditions for the conductance of alone is ~270 pS. Thus,
the differences in single-channel current amplitudes seen here reflect
a true difference in single-channel conductance resulting from the
presence of the 2 subunit.
We next addressed the issue of how 2: subunit stoichiometry
affects activation when observed in single channels. To do this, after
determination of single-channel i,
inactivation was then removed by brief application of trypsin (0.5 mg/ml) to the cytosolic face of patches. Ensemble averages were then
generated at voltages from +20 to +140 mV using 4 µM
Ca2+. Four micromolar
Ca2+ was preferable to 10 µM
Ca2+ for this experiment, because with 4 µM Ca2+, the voltage of
half-activation is sufficiently positive to 0 mV both for purely + 2 channels and for -alone channels to allow better estimation of
activation V0.5. Figure 6B
shows the resulting estimates of normalized open probability
P(0) for such trypsin-treated single-channel patches
along with estimates from four patches containing subunits alone.
The P(0)-V curves span a range of ~60 mV,
somewhat similar to that seen with macroscopic currents in Figure
3A. The fitted estimate of V0.5 for
each single-channel recording is plotted as a function of
i in Figure 6C. For this set of 15 single-channel patches, the values appear to cluster into four groups,
with the inactivation time constant strongly correlated with the
activation V0.5. Coupled with other results presented above, this strongly argues that each 2 subunit
independently produces an equivalent effect on the resulting
V0.5 at a given [Ca2+].
Steady-state inactivation is also dependent on the average number
of 2 subunits per channel
Other physiologically important properties of + 2 currents
may also be dependent on the stoichiometry of channel composition. Therefore, the dependence of two other properties of inactivating BK
channels on the ratios of 2: subunits was also determined: first,
the voltage dependence of steady-state inactivation measured at 10 µM Ca2+; and second, the
rate of recovery from inactivation at 140 mV also with 10 µM Ca2+.
To examine steady-state inactivation properties, patches were held for
at least 500 msec at conditioning potentials between 190 and +10 mV
(Fig. 7A) before steps to +160
mV. At higher mole fractions of the 2 subunit, steady-state
inactivation measured with 10 µM cytosolic
Ca2+ was essentially identical to that
previously observed for inactivating BK channels in RIN cells (Li et
al., 1999 ), and for BKi channels in chromaffin
cells (Ding and Lingle, 2002 ). The fractional availability of current
as a function of the initial conditioning potential was determined. As
the ratio of 2: was reduced, the fractional availability of the
resulting BK current was shifted to more positive potentials, and at
the lowest dilutions it is clear that there is a substantial amount of
current that does not inactivate. Because the activation step was to
+160 mV, any channel that contains even one inactivation domain will
contribute little to the steady-state current. Thus, the steady-state
current represents almost exclusively the fraction of channels that
contain no 2 subunits. The currents were analyzed in two ways.
First, we measured only the fractional availability of the inactivating
portion of the current (Fig. 7B). This takes into account
only those channels that contain at least one 2 subunit. We also
plotted the total amount of current available from any conditioning
potential (Fig. 7C). This provides a better indication of
the entire channel population at each 2: dilution. Qualitatively,
it is quite clear that reducing the ratio of injected 2: subunits
results in two effects: first, a marked shift in the fractional
availability of channels for activation; and second, an increase in the
fraction of channels that do not inactivate. The dependence of the
voltage of half-channel availability on injection ratio is shown in
Figure 7D.

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Figure 7.
Steady-state inactivation shifts with changes in
the 2: subunit ratio. A1-A5, Currents were
activated with the voltage protocol indicated on the top
for five different 2: injection ratios with 10 µM
Ca2+. At smaller ratios, the amount of
noninactivating current increases, and the rate of inactivation slows.
The duration of the conditioning step was 600 msec. The dashed
lines indicate the 0-current level. B, The
percent availability ± SD of only the inactivating portion of
current is plotted as a function of conditioning potential for four to
six patches at each of the indicated 2: injection ratios. For
ratios of 0.01, 0.025, 0.05, 0.1, 1.0, and 2.0, V0.5 values
were 17.2, 38.9, 60.1, 73.1, 88.5, and 97.6 mV,
respectively. C, The maximal current activated from
different conditioning potentials was determined, providing an
indication of the percent availability of the total channel population
at different potentials. For ratios from 0.01 to 2.0, the voltages at
which half the channels in the total population were available for
activation were 97.6, 88.5, 67.8, 29.7, 3.5, and +37 mV.
D, The voltage of half-availability determined in
B is plotted as a function of injection ratio.
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Recovery from inactivation exhibits an anomalous dependence on
2: ratio
The time constant of recovery from inactivation
( r) was defined at 10 µM with a
paired pulse protocol in which, after complete inactivation of the
channels at +140 mV, a second test step to +140 mV followed a variable
recovery interval at 140 mV (Fig. 8A). At high 2:
ratios, r was ~20-25 msec similar to values measured for inactivating BK channels in RIN cells (Ding et al., 1998 ;
Li et al., 1999 ). As the ratio of 2: was reduced (Fig. 8B,C), r became faster,
appearing to reach a limiting value at ~5 msec at the smallest ratios
of 2: .

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Figure 8.
Recovery from inactivation shifts with changes in
the 2: subunit ratio. A, Currents were activated
with 10 µM with the paired pulse recovery protocol shown
on the top. Each set of traces
corresponds to a different 2: injection ratio as indicated. Note
the much slower recovery from inactivation at 1.0 2: than at
lower ratios. The dashed lines indicate the 0-current
level. B, The percent recovery ± SD is displayed
as a function of recovery interval for a set of four to six patches at
each injection ratio. The recovery time points at a ratio of 1.0 are
obscured by those at 2.0. The recovery time course was fit in each case
with a single exponential. For ratios of 0.01, 0.25, 0.05, 0.1, 1.0, and 2.0, r was 3.9, 4.8, 6.5, 9.0, 19.3, and 19.0 msec,
respectively. C, The dependence of r on
the injection ratio is displayed.
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This change of r with the ratio of 2:
would appear to contradict previous work in which progressive
trypsin-mediated removal of inactivation of inactivating BK channels in
chromaffin cells did not alter r (Ding et al.,
1998 ). For a model of a block in which occupancy of a blocking site by
a single inactivation domain is sufficient to produce inactivation, if
recovery is governed solely by dissociation of a single domain from its
blocking site, no alteration in r is expected
as the number of inactivation domains per channel is altered. Thus, the
present result would seem to conflict with previous results and may
challenge one simple conception of the molecular steps involved in the
inactivation process, namely that the recovery process should be
governed by dissociation by a single inactivation domain from its
blocking site.
Is there a possible explanation for the dependence of recovery from
inactivation on channel stoichiometry that would not require us to
discard the view that dissociation of a single inactivation determines
recovery? One simple explanation of this result is that it does not
reflect some unusual aspect of the inactivation mechanism per se but
rather reflects the coupling of recovery from inactivation to
Ca2+-dependent activation steps. In fact,
for both BKi currents in chromaffin cells and + 2 currents, the time course of recovery from inactivation becomes
faster both at more negative potentials and with reductions in
cytosolic Ca2+ (Ding and Lingle, 2002 ).
Thus, although dissociation of a single inactivation particle may be
sufficient to remove inactivation, it seems likely that, dependent on
Ca2+ and recovery potential, channels may
reinactivate during the recovery process. As a consequence, the time
course of recovery from inactivation most likely reflects multiple
kinetic steps, including dissociation of an inactivation domain, but
also other Ca2+-dependent transitions.
Because reductions in the 2: injection ratio shift the
V0.5 for activation to more positive values, this would naturally then be expected to also produce effects on recovery from inactivation.
Two sets of experiments were done to test this idea. First, we examined
the time course of recovery from inactivation after different amounts
of removal of inactivation of + 2 currents by trypsin. Similar
to our previous results (Ding et al., 1998 ; Li et al., 1999 ), when the
average number of inactivation domains per channel is altered by
digestion with trypsin, the time course of recovery from inactivation
remains virtually unchanged (results not shown). The difference between
the experiment with trypsin and the results with 2: dilution is
that, in the former case, channels with fewer inactivation domains
still have a full set of subunits per channel, thereby leaving the
voltage dependence of activation unchanged. In a second type of
experiment, the average number of inactivation domains per channel was
altered not by dilution of 2 subunits but by coexpression of 2
and subunits, along with a 2 subunit in which the N-terminal
inactivation domain has been removed (construct 2- 33; Xia et al.,
1999 ). Thus, a full complement of 2 subunits will be available to
associate with subunits, but less than a full complement of
inactivation domains will be present. We varied the ratio of
2: 2- 33 to change the number of inactivation domains per
channel in the population. Regardless of the ratio of 2: 2- 33,
the time course of recovery is indistinguishable whether channels
inactivate with time constants of 20-30 or 60-70 msec.
The above results therefore support the view that the seemingly
anomalous faster rate of recovery from inactivation with smaller 2: ratios is simply a consequence of the influence of current activation transitions on the recovery time course (Ding and Lingle, 2002 ). In essence, r is not dependent on the
number of inactivation domains per channel but rather on the number of
subunits per channel because of coupling of the recovery process to
steps in the activation pathway. An interesting implication of this
result is that variation in r based on the
stoichiometry of 2: subunit assembly suggests a novel mechanism
by which key functional properties of BKi current
might be regulated.
To summarize how steady-state inactivation and
r vary in accordance with the stoichiometry of
those channels, we have plotted V0.5 for
steady-state inactivation and r as a function
of i (Fig.
9A,B). To evaluate the extent
to which stoichiometry may |