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The Journal of Neuroscience, April 15, 1999, 19(8):2852-2864
Specific Alteration of Spontaneous GABAergic Inhibition in
Cerebellar Purkinje Cells in Mice Lacking the Potassium Channel
Kv1.1
Chuan-Li
Zhang1,
Albee
Messing2, and
Shing Yan
Chiu1
1 Department of Physiology, University of Wisconsin
School of Medicine, Madison, Wisconsin 53706, and
2 Department of Pathobiological Sciences, School of
Veterinary Medicine, and Waisman Center, University of Wisconsin,
Madison, Wisconsin 53705
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ABSTRACT |
In the cerebellum, the basket cell innervation on Purkinje cells
provides a major GABAergic inhibitory control of the single efferent
output from the cerebellum. The Shaker-type K channel Kv1.1 is
localized at the axon arborization preceding the terminal of the basket
cells and is therefore a potential candidate for regulating the
GABAergic inhibition. In this study, we directly assess this role of
Kv1.1 by electrophysiological analysis of Kv1.1 null mutant mice.
Whole-cell patch-clamp recordings of spontaneous IPSCs (sIPSCs)
were made from Purkinje cells in thin cerebellar slices from postnatal
day (P)10-15 Kv1.1-null mutants using wild-type littermates as
controls. The null mutation confers a very specific change in the
sIPSC: the frequency increases about twofold, without accompanying
changes in the mean and variance of its amplitude distribution. The
frequency and amplitude of the miniature IPSCs (mIPSCs) are unaffected.
Spontaneous firing rate of the basket cells is unaltered. Evoked IPSC
does not show multiple activity in the mutants. Motor skills tests show
that Kv1.1 null mice display a compromised ability to maintain balance
on a thin stationary rod. We conclude that the Kv1.1 null mutation
results in a persistent elevation of the tonic inhibitory tone on the
cerebellum Purkinje cell efferent and that this is not fully
compensated for by residual Shaker-type channels. We further suggest
that the increase in inhibitory tone in the mutants might underlie the
behavioral deficits. At the cellular level, we propose that Kv1.1
deletion enhances excitability of the basket cells by selectively
enhancing the likelihood of action potential propagation past axonal
branch points.
Key words:
potassium channel gene; homologous recombination; cerebellum; GABA; mouse; Purkinje cell
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INTRODUCTION |
The cerebellum is thought to be an
important integration site in the CNS for motor coordination and
certain types of learned motor behavior (Eccles et al., 1967 ; Kim and
Thompson, 1997 ). The Purkinje cell provides the single efferent output
from the cerebellum and is strongly modulated by a GABAergic inhibition strategically located at the initial segment that constitutes the last
functional site for signal modulation before the efferent emerges from
the cerebellum.
What is the molecular determinant of this GABAergic inhibition? In the
cerebellum, two members of the Shaker potassium channel family (Kv1.1
and Kvl.2), as well as two auxiliary subunits (Kv l and Kv 2), are
highly expressed in the basket cell arborization, or "pinceau,"
that embraces the Purkinje cell initial segments (McNamara et al.,
1993 ; Wang et al., 1994 ; Rhodes et al., 1995 , 1996 ; Veh et al., 1995 ;
Laube et al., 1996 ; McNamara et al., 1996 ). High-resolution electron
microscopic analysis of Kv1.1 and Kv1.2 immunoreactivity reveals that
these K channel subtypes are uniquely localized at septate-like
junctions adjoining basket cell axons that precede the terminal (Wang
et al., 1994 ). These Shaker K channels might therefore be candidates
for regulating GABA release. However, their unique localization at axon
arborizations that precede the nerve terminal raises two questions:
first, do they in fact regulate GABA release, and second, does the
regulation involve novel mechanisms? The unique morphological feature
of the pinceau has led to suggestions that inhibition at this site might be nonconventional and partly electrical in nature, involving excitability modulation by current flows in unusual resistance regions
created by the septate-like junctions (Korn and Faber, 1980 ).
Proper modulation of the GABAergic inhibition at the pinceau of the
cerebellum might be important for motor functions. Mutations of Kv1.1
in humans result in "episodic ataxia," a disorder characterized by
stress-inducible hyperexcitability of the nervous system (Browne et
al., 1994 ). The role of cerebellar dysfunction in this disease is
unclear, and it remains possible that the ataxia may reflect, in part,
abnormal GABAergic inhibition consequential to Kv1.1 mutation,
resulting in a shift in the balance between excitatory and inhibitory
signal integration in the cerebellum.
Recently, analysis of the functional role of Kv1.1 in normal cellular
physiology has been made possible by the generation of Kvl.1 null
mutant mice through homologous recombination in embryonic stem cells
(Smart et al., 1998 ). Various neurological defects were found. In the
CNS, these mice exhibit spontaneous seizure activities with elevated
excitability in hippocampal brain slices (Smart et al., 1998 ). In the
peripheral nervous system, the excitability of the transition zone near
the nerve terminal becomes abnormally temperature sensitive (Zhou et
al., 1998 ). Furthermore, motor dysfunction unrelated to seizures was
revealed when the Kvl.1 null mutants were forced to swim in cold water and included neuromyotonia and inability to maintain an axial position
while swimming (Zhou et al., 1998 ).
In this paper, we examined cerebellar physiology in the Kv1.1 null mice
by a direct measurement of the GABAergic inhibition in cerebellar slice
recordings and by behavioral tests. Our results reveal a specific
action of Kv1.1 on basket cell excitability, as well as a subtle defect
in balancing skill. We hypothesize that in basket cells, Kv1.1
regulates GABA release by regulating action potential failures at
axonal arbors preceding the nerve terminal, thereby determining the
fraction or the timing of action potentials reaching the nerve terminal.
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MATERIALS AND METHODS |
Kv1.1 null mice
The Kvl.1 mutant mice used in this study were generated by Smart
et al. (1998) and maintained in a mixed B6xl29 genetic background by
heterozygote-heterozygote mating. They were genotyped as described previously (Zhou et al., 1998 ). Briefly, the mice were genotyped at
postnatal day 7 (P7) using a PCR strategy on DNA prepared from tail
biopsies, and experiments were done at P10-P15. Controls consisted of
age-matched littermates that were +/+ at the Kv1.1 locus.
Electrophysiology
Cerebellar slices. Sagittal slices of cerebellum
(150-200 µm) were prepared from P10-P15 mice. Briefly, the head was
placed in ice-cold Ringer's solution after decapitation. The whole
cerebellum was quickly removed and glued to the bottom of a dish with
Superglue for slicing using a Vibratome (Series 1000, TPI). Slicing was performed with the cerebellum fully submerged in ice-cold Ringer's solution bubbled with 5% CO2 + 95% O2. The
slices (up to 6-10 from each animal) were transferred to a chamber at
37°C in which the solutions were continuously gently stirred by
bubbling with 5% CO2 + 95% O2. The slices
were incubated in this chamber for at least 1 hr before they were
transferred to a recording chamber for patch-clamp experiments. We
waited 20-30 min after the transfer from 37°C to room temperature
before the recordings were started.
Purkinje cell recordings. Whole-cell voltage-clamp
recordings of spontaneous postsynaptic currents were made from visually identified Purkinje cell somas with an EPC-7 amplifier. Series resistance was compensated according to the procedure described by
Llano et al. (1991) . Briefly, after whole-cell formation, the slow
transient cancellation and the G-series adjustment of the EPC-7
amplifier were adjusted to compensate the initial portion of the
capacitance transient elicited by 10 mV hyperpolarizing pulses. The
series resistance compensation knob of the EPC-7 amplifier was then set
at 35-50%. Electrodes were pulled from borosilicate glass capillaries
(1B120F-4, World Precision Instruments) and fire-polished to yield a
resistance of 3-4 M before seal formation.
Basket cell recordings. Cell-attached recordings were made
from the soma of interneurons located in the innermost one-third of the
molecular layer within a distance of 40 µm from the Purkinje cell
body layer, as described previously (Vincent and Marty, 1996 ). Following Ramon y Cajal's (1911) classification, these interneurons were considered to be basket cells (Llano et al., 1997 ). We were primarily interested in the action potential frequency in the basket
cells. In the cell-attached mode, action potentials at the soma
generate action currents, detected with the holding potential at the
pipette set at 0 mV, as described previously (Vincent and Marty, 1996 ).
Basket cell bodies can be easily distinguished from the much smaller
granule cells. The few recordings that did not give action potentials
were discarded and were assumed to be from Bergmann glial cells.
Evoked IPSCs. Evoked IPSCs in Purkinje cells were elicited
by extracellular stimulation of the inner one-third of the molecular layer using a double-barreled glass pipette pulled to a fine tip. The
distance between the Purkinje cell under recording and the stimulation
pipette was ~200 µm, measured horizontally along the inner
molecular layer. A Grass Stimulator (S48) was used to deliver stimulating pulses with amplitudes ranging from 10 to 100 V. The duration of the pulse was 0.3 msec, and stimulation frequency was 0.5 Hz.
Data analysis
Current integral. We use an integration method as a
convenient and unbiased means to compare wild-type and mutant
spontaneous current records. We integrated the spontaneous current
records over a fixed short segment (1.23 sec) and performed this
integration every 0.3 sec along continuous current records.
Event analysis. Each experiment consisted of 10-60 min
continuous recording of spontaneous postsynaptic currents at a holding potential of 60 mV. During the experiment, the spontaneous currents were recorded continuously onto VCR tapes without filtering (highest bandwidth). After an experiment, the tapes were played back, and the
currents were redigitized (Digidata 2000, Axon Instruments) at 2 kHz
after being filtered at 1 kHz by an eight-pole Bessel filter (Frequency
Device). The digitized data were analyzed either with pClamp 6.0 software (Axon Instruments) or with the event analysis software CDR
(Computer Disk Recorder, J. Dempster, University of Strathclyde,
Glasgow, UK). Event analysis was typically performed on
continuous segments of spontaneous current records lasting 3-5 min.
Histograms were made of two parameters extracted from the continuous
records: the amplitude and the inter-event time interval. The amplitude
of an event is defined as the difference between a short baseline
segment (typically 0.1 msec) just before the rapid current increase and
the peak of the current. The inter-event interval is defined as the
time between the onset of the current rise of consecutive events. These
two parameters were extracted from continuous current records using the
CDR software in a semi-automatic manner.
To avoid biasing data analysis of the mutant and wild-type slices, all
whole-cell experiments were recorded at the same gain of 2 mV/pA, and
the threshold for event detection was fixed at 5 pA for all the results
reported in this paper. Furthermore, "blinded" experiments were
performed in which the genotype of the slice under study was known only
by an independent observer and revealed only at the end of the event
analysis. Of the 27 mice used for each genotype in Figures
1C and 3A,B, blinded experiments were performed
on 15 mice in each group. In terms of individual cells, 30 of a total
of 53 cells in those figures were obtained from blinded experiments.
All data were expressed as the mean ± SEM, with p
values calculated using either independent or paired t tests
from the software Origin (Microsoft).
Solutions and drugs. Experiments were performed at room
temperature (22-24°C) using an extracellular bath solution composed of (in mM): NaCl 125, KCl 3, NaHCO3 26, MgCl2 1.0, CaCl2 2, NaH2PO4 1.25, and glucose 10. Drugs were added
to this solution as needed. Excitatory amino acid-mediated transmission
was blocked by adding APV (100 µM) and CNQX (10 µM; RBI). K channel blockers ( -dendrotoxin and
I-dendrotoxin) were obtained from RBI. The solution was maintained during an experiment at pH 7.4 by bubbling with 5% CO2 + 95% O2. The slice in the recording chamber was
continuously perfused at a rate of 5 ml/min. The patch-clamp pipette
for whole-cell Purkinje cell recording was filled with a solution
containing (in mM): CsCl 140, EGTA 1, Na-ATP 4, Na-GTP 0.4, MgCl2 4.6, CaCl2 0.1, and HEPES 10, to pH 7.3 with CsOH. In some experiments, QX-314 (2 mM; RBI) was
added to the pipette solution to block Na channels intracellularly to
inhibit regenerative action potentials coming from parts of the cell
(such as dendrites) that may not be under space clamp. For
cell-attached recordings from basket cells, the pipette solution
contained (in mM): NaCl 150, KC1 2.8, CaCl2
1.0, and HEPES 10, pH 7.3.
Electroencephalography
Electroencephalographs (EEGs) were recorded from mice as
described previously (Zhou et al., 1998 ). Briefly, two EEG recording electrodes were implanted surgically in the left hemisphere of anesthetized mice. The electrodes made contact only, but did not pierce
the cortex, and were fixed to the cranium with dental acrylic. The two
leads from the electrodes were fed into the positive and negative
inputs of a differential amplifier (World Precision Instruments). EEG
recordings were made to exclude the presence of epilepsy during a motor
skill test, as described below.
Motor skills tests
Stationary thin rod. Mice were placed in the middle
of a thin rod, and the time they stayed on the rod before falling off (retention time) was measured. The rod was 15 mm in diameter and 50 cm
long and placed 40 cm high to discourage jumping. The rod was flanked
at both ends by a large smooth surface to prevent falling off at the
end of the rod. The whole test system was enclosed in a white opaque
Plexiglas case to minimize outside distractions. When placed on the rod
for the first time, mice tend to cautiously walk along the rod in one
direction, and on reaching the end of the rod, they make a turn and
explore the other direction. Most falls occur when the animal makes the
turn. Tests were repeated every day. After repeated trials, mice
learned to stay on longer by not walking, or they became more skillful
at the turns. Each mouse was first weighed before testing so that we
could assess whether body weight was a factor that affected the
retention time on the rod. For some mice, EEG recordings were made to
determine whether the falls correlated with seizures. The mouse was
first observed for 5 min and scored for signs of epilepsy both visually and through the EEG recordings. Then the mouse was placed on the stationary rod, and the retention time was measured, with EEG recordings made up to the time of fall. Rotarod. Mice were
placed on a rotarod apparatus (50 mm diameter; Columbus Instrument). The speed of rotation was ramped from 4 to 40 rpm in 5 min and then
allowed to stay at 40 rpm afterward. Four mice were tested at the same
time, and partitions were placed to blocking them from seeing one
another during the test. The retention time was measured. As in the
stationary thin rod tests, the tests were repeated every day.
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RESULTS |
The primary goal of this study was to determine whether
spontaneous GABAergic inhibition of Purkinje cells in the cerebellum is
altered in the absence of Kv1.1 and to elucidate a possible mechanism
for the alteration. Because spontaneous postsynaptic current activities
show quite a large variation even among mice of the same genotype, we
adopted several measures to avoid biasing the analysis. First,
age-matched mutant and wild-type mice from the same litter were always
used. Typically, recordings were performed on one mouse on 1 d
followed the next day by a littermate of the opposite genotype. The
order of the genotype was randomized to average out the 1 d
difference in age of the two groups. Second, some of the experiments
were blinded, and the genotype of the slice under study was revealed by
an independent observer only after histograms were generated. Third,
all currents were collected at the same gain, and the event analysis
was performed with a fixed threshold for all slices regardless of
genotypes. In all, the conclusion in this paper is based strictly on
this protocol applied to a total of 45 mutant mice with an equal number
of age-matched, wild-type controls over an age range of P10-P15.
Kv1.1 null mutation increases the current integral of the
spontaneous postsynaptic current
When a Purkinje cell soma in the cerebellum was subjected to
whole-cell voltage clamp at a holding potential of 60 mV with a
Cs-filled pipette and normal saline solution outside, spontaneous postsynaptic currents were observed. Figure
1 shows spontaneous postsynaptic currents
recorded from the Purkinje cell of a wild-type (A)
and a Kv1.1-null (B) slice. The mutant currents
appeared to be more robust than the wild-type. The goal of this study
was to document quantitative differences in the spontaneous currents between wild-type and Kv1.1 null. However, given the variation in these
records, we felt that it was important, before pursuing quantitative
analysis, to have a completely objective method of establishing whether
the mutant currents were in fact different from the wild-type currents.
We chose a convenient method that is based on the current integral,
which is simply the charge. We took 3 min segments of continuous
records from the wild-type and null slices and integrated the currents
over 1.23 sec segments spaced uniformly over the entire 3 min segment
(Fig. 1). The current integral of the 1.23 sec segments was averaged
for the wild type (n = 53 cells) and mutant
(n = 53 cells) and is shown in Figure 1C.
This method demonstrates a clear increase of the current integral of
the spontaneous postsynaptic currents in the mutant over the wild type
in a manner that is completely independent of series resistance
compensation, how the currents were filtered, or the electrical noise
of the recording system. Having concluded that Kv1.1 indeed results in
an enhancement of the spontaneous currents, we next proceeded to
perform more elaborate event analysis to determine the quantitative
aspects of the changes in the currents in the mutant.

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Figure 1.
Kv1.1 null mutation increases the
current integral of the spontaneous postsynaptic currents in Purkinje
cells. A shows four representative traces of spontaneous
postsynaptic currents measured from a Purkinje cell of a P11 wild-type
mouse. B shows a recording from an age-matched Kv1.1
null littermate. Holding potential was 60 mV at A and
B. C compares the current integral of the
postsynaptic currents in the wild type and the null. The postsynaptic
currents were integrated over fixed 1.23 sec segments, and this current
integral was computed every 0.3 sec along a 3 min continuous recording
of postsynaptic currents. The current integrals were then averaged, and
the mutant data were displayed as a percentage of the wild-type data.
The current integral of the spontaneous current in the mutant was
significantly different from that of the wild type [224 ± 26%
(n = 53) mutant; 100 ± 12%
(n = 53); p < 0.001]. The
experiments were performed at room temperature for the data in this and
in all other figures. D, Hypothesis on the role of Kv1.1
in basket cell excitability. We propose that Kv1.1 deletion selectively
improves the likelihood of action potential propagation across axonal
branch points or axonal swellings, without affecting the excitability
of the boutons and the cell body. PC, Purkinje cell;
BC, basket cell. In this model, an action potential
travels down the main axon, branches into a descending collateral,
encounters an axonal swelling, and then invades four boutons embracing
the Purkinje cell. Because the mean and variance of the amplitude
distribution of the sIPSC (the successful events; Fig.
3B) are not affected by the mutation, we assume that the
same number of boutons is being invaded for each successful
action potential. The unreliability is therefore likely in propagating
past the collateral branch point or the axonal swelling preceding the
nerve terminal. The data in our paper can be explained if Kv1.1
deletion reduces the rate of conduction failure at either the
collateral branch point or the axonal swelling. This scheme is based on
the morphology of a biocytin-filled 13-d-old basket cell from the rat
(Llano et al., 1997 , their Fig. 5). Our hypothesis requires that Kvl.1
be expressed at or near the branch points, a requirement that is
consistent with the unique staining of Kv1.1 at septate-like junctions
in the axonal arborizations of basket cells described at the EM level
(Wang et al., 1994 ).
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The increase in spontaneous postsynaptic currents in the mutant is
caused entirely by an increase in GABAergic inhibitory transmission
What is the nature of the spontaneous postsynaptic currents? The
currents were measured at a holding potential of 60 mV, with
approximately equal chloride concentration inside and outside of the
cell. The sodium concentration was high outside and low inside. Under
these conditions, inhibitory transmitters (opening chloride channels)
and excitatory transmitters (opening cation permeable channels) will
both generate a flow of equivalent positive charges into the cell,
resulting in currents of the same direction flow (inward) as detected
by the patch-clamp amplifier. In the case of wild-type Purkinje cells,
Konnerth et al. (1990) have already demonstrated that the spontaneous
currents recorded under these conditions are virtually all inhibitory
and GABAergic in nature. We confirmed this observation in our wild-type
slices. The addition of APV and CNQX, blockers of excitatory
transmission, did not affect the spontaneous postsynaptic currents
(Fig. 2A,B). When
bicuculline was applied, all of the spontaneous activities were blocked
(Fig. 2A). This confirmed that in the wild-type
slice, the spontaneous postsynaptic currents are inhibitory in nature, attributable presumably to spontaneous release of GABA from basket cells.

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Figure 2.
Excitatory transmission blockers have no effect on
the spontaneous postsynaptic currents. A shows the
sequential effect of 100 µM APV + 10 µM
CNQX and APV + CNQX + 10 µM bicuculline on the
spontaneous postsynaptic currents in a null and a wild-type Purkinje
cell. B shows the averaged result for the wild-type and
the null mutant. The data points were generated by integrating 1.23 sec
segments of spontaneous currents every 2.27 sec along the continuous
recordings before and during drug application. Whole-cell recordings of
spontaneous postsynaptic currents from Purkinje cells. Holding
potential 60 mV.
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How does the Kv1.1 mutation augment the spontaneous postsynaptic
currents in the Purkinje cell? One mechanism is an increase in
excitatory transmission. For example, the Kv1.1 mutation could recruit
new excitatory synapses to directly innervate the Purkinje cell, or it
could cause an increase of excitatory drive to the basket cells that
normally produce the spontaneous GABAergic activities on the Purkinje
cell. This increase in spontaneous excitatory transmission, both
monosynaptically and polysynaptically, could lead to an increase in the
spontaneous postsynaptic current activities detected on the Purkinje cell.
To examine this mechanism, we added APV and CNQX to block excitatory
transmission. This was without effect in the mutant (Fig. 2A). The excitatory transmission blockers had no
effect on the current integral. Figure 2B shows the
average result from these experiments. After APV and CNQX application,
the current integral (averaged over a 3 min period) was not
significantly different from the baseline (100%) before drug
application: 103 ± 9.8% (n = 15, p > 0.05) for the wild type and 104 ± 11.5%
(n = 15, p > 0.05) for the mutant.
Collectively, these experiments suggest that the spontaneous
postsynaptic current activity measured under our experimental
conditions in both the wild type and the mutant had no excitatory
component to it and was virtually all GABAergic in nature. The
spontaneous currents are now referred to as sIPSCs in the following
analysis. The chief effect of the Kv1.1 null mutation is to augment sIPSCs.
Kv1.1 null mutation selectively affects the frequency, but not
amplitude, of the sIPSCs
Having established that the Kv1.1 null mutation augments sIPSCs
(Fig. 1), we next determined what properties of sIPSCs are being
affected. For example, the increase in the current integral of the
mutant sIPSC over the wild type (Fig. 1C) could be explained by three factors: increase in the frequency of sIPSC events,
prolongation of individual sIPSCs, or an increase in the amplitude of
individual sIPSCs.
To elucidate which of these factors are affected by the Kv1.1 mutation,
we subjected the sIPSC to detailed event analysis. Continuous segments,
3-5 min in length, of sIPSC recordings were analyzed to extract
histograms for the peak amplitude and inter-event intervals for the
sIPSCs. The histograms were converted to probability density functions
for comparison between the mutant and wild-type data. Furthermore,
individual sIPSCs that did not overlap with other events were selected
at random and averaged together to form a composite sIPSC for shape
comparison between the mutant and the wild type. The results of these
analyses are shown in Figure 3A,
B (distributions for the inter-event interval and amplitude), and
C (shape comparison).

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Figure 3.
Kv1.1 null mutation selectively affects
the frequency (A) and not the amplitude
(B) of the sIPSC. A, Probability
density function for the inter-event intervals for mutant and wild-type
sIPSC. Bin width in computing the probability density function was
0.007 sec. B, Probability density function for the
amplitude of the mutant and wild-type sIPSC. Bin width in computing the
probability density function was 10 pA. Data were compiled from
age-matched null (n = 53 Purkinje cells from 27 animals) and wild-type littermates (n = 53 Purkinje
cells from 27 animals). Mice ages were P10-P15. The distribution of
the events (inter-event intervals or amplitude) was first compiled for
each cell over 3-5 min of continuous recordings of the sIPSCs. The
distribution was then converted into a probability density function for
each cell. Then the probability density functions for 53 cells were
averaged to yield a single averaged plot, as shown in A
and B. C, D, Lack of effect of Kv1.1 null
mutation on the shape of sIPSC (C) and mIPSC
(D). Nonoverlapping events from the spontaneous
current records of each phenotype were randomly selected, normalized
with respect to the peak amplitude, and averaged. The sIPSC was
recorded in normal saline solution. The mIPSC was recorded in saline
solutions containing TTX (1.0 µM) to block spontaneous
action potentials. For the sIPSC data: null data from 675 sIPSC events
randomly selected from 27 mice; wild-type data from 675 sIPSC events
from 27 mice. Age-matched null and wild-type littermates from P10-P15
mice. For the mIPSC data: null data from 200 mIPSC events randomly
selected from eight mice; wild-type data from 200 mIPSC events from
eight mice. Mice ages were P11-P14.
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For the sIPSC amplitude distribution, two parameters that determine
this distribution remained unaffected. The first parameter is the mean.
It was 265.6 ± 27.7 pA (n = 53) in the wild type, which was not statistically different from the mutant value of 276.0 ± 26.3 pA (n = 53, p > 0.05). The second parameter is the variance-to-mean ratio. This ratio
was 208.4 ± 29.1 pA in the wild type and was essentially
unchanged at 202.2 ± 37.9 pA in the mutant (n = 53, p > 0.05). For the shape of the individual sIPSCs,
no change was detected (Fig. 3C). The only change observed was in the distribution of the inter-event intervals or the frequency of the sIPSCs (Fig. 3A). The mean frequency of the sIPSCs
nearly doubled, from a mean of 5.9 ± 0.7 sec 1 (n = 53) in the wild type to
12.5 ± 1.6 sec 1 (n = 53, p < 0.001) in the mutant.
Miniature IPSC is not affected
What mechanism might account for this specific increase in the
frequency of sIPSC? Two different types of mechanisms can be considered. The first is a developmental mechanism. The developing nervous system is highly plastic, and alteration of K channel expression might lead to developmental changes. The increase in sIPSC
frequency in the mutant could simply be attributable to an increase in
the density of boutons produced by each basket cell (note that this is
indistinguishable from an increase in the density of basket cells per
Purkinje cell). Our patch pipette registers sIPSC coming from all
basket cell innervation, and if the bouton density per basket cell or
the density of basket cells per Purkinje cell increases in the mutant,
the frequency of sIPSC will increase. The second possibility is a
direct alteration of the membrane excitability of the basket cells
caused by deletion of Kv1.1 (known to be normally localized on the
axonal arborization). For example, basket cells are known to be
spontaneously active (i.e., firing action potentials). If this
spontaneous firing rate is increased by the Kv1.1 mutation, the sIPSC
frequency detected on the Purkinje cell would increase.
To distinguish between these two types of mechanisms, we measured
spontaneous miniature IPSC (mIPSC) by adding TTX to block action
potentials. Experiments were performed in the presence of APV (100 µM) and CNQX (10 µM) to block excitatory
transmissions. Figure
4A,B (left)
first shows the sIPSC in a mutant and in an age-matched wild-type slice
before 1.0 µM TTX application. For these two particular
cells, the frequency of the mutant sIPSC was 14.3 sec 1, which was larger than the frequency of 7.7 sec 1 for the wild-type cell. After TTX (1.0 µM) was added (right), there was a marked
reduction in both the amplitude and frequency of the events of each
genotype. Interestingly, the resultant mIPSC in the two cells became
indistinguishable, with the frequency of the two becoming virtually
identical (3.0 sec 1 in mutant and 3.4 sec 1 in wild type). Figure 4C,D shows
the average result of the amplitude and inter-event distribution for
the mIPSC for the wild type and the mutant. The distributions were
virtually identical. For the mIPSC amplitude distributions, both the
mean (68.6 ± 4.7 pA in mutant; 68.1 ± 5.4 pA in the wild
type; n = 15, p > 0.05) and the
variance-to-mean ratio (19.4 ± 4.3 pA in mutant; 20.6 ± 4.4 pA in wild type; n = 15, p > 0.05)
were not statistically different. Likewise, the frequency of the mIPSC
was not significantly different, being 1.58 ± 0.2 5 sec 1 (n = 15) for the mutant, and
1.23 ± 0.23 sec 1 for the wild-type
(n = 15, p > 0.05). Figure
3D shows that the shape of individual mIPSC was not affected
by the mutation.

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Figure 4.
Kv1.1 null mutation selectively affects the
frequency of sIPSC but not mIPSC. A, B
(left) sIPSC from a wild-type (A)
and a null Purkinje cell (B) before TTX (1.0 µM). Note the higher frequency of sIPSC in the mutant as
compared with the wild-type. A, B
(right), The mIPSC obtained from the same cells after
TTX application. Note that the frequency of mIPSC was virtually
identical in the two cells. C, D, The average results of
the mIPSC data. C shows the probability density function
for the amplitude, and D shows the probability density
function for the inter-event intervals (n = 15 cells for each phenotype). Notice that both the amplitude and the
inter-event interval distributions for mIPSC were not affected by the
Kv1.1 mutation. Bin width was 10 pA for the amplitude distribution, and
0.1 sec for the inter-event interval distribution. Ages were
P10-P15.
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If the Kv1.1 mutation led to a change in basket cell innervation
pattern (i.e., increase in the number of basket cells per Purkinje
cell), then both the mIPSC and the sIPSC should be similarly affected.
That there is a selective effect on sIPSC (Fig. 3A) but not
on mIPSC (Fig. 4D) strongly argues against a change
in the basket cell innervation pattern in the mutant. Our data thus far
clearly implicate a change in the excitability of the presynaptic cell,
the basket cell. Where is the locus of excitability change on the
basket cell?
Firing rate of basket cells is not affected
One simple mechanism to account for the increase in the sIPSC
frequency is an increase in the spontaneous firing rate of the basket
cells. We therefore used cell-attached recordings to measure spontaneous action currents at the cell soma of basket cells. Figure
5 shows typical cell-attached recordings
of the basket cell action currents from wild-type and age-matched
mutant mice. The rate of spontaneous action currents in basket cells
was not affected by the Kv1.1 mutation (Fig. 5C), being
7.1 ± 1.0 sec 1 (n = 37) in
the mutant, which is not statistically different from the value of
6.6 ± 1.0 sec 1 (n = 34, p > 0.05) in the wild type.

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Figure 5.
Kv1.1 null mutation does not alter basket cell
firing rate. Cell-attached recordings of spontaneous action currents
were made at the cell body of basket cells from the inner one-third of
the molecular layer. Representative recordings from a wild-type
(A) and mutant (B) basket
cell are shown. C shows the average action current
frequency calculated from 2 min of continuous recordings in each
experiment. Data from five wild-type (n = 34 cells)
and five age-matched mutant mice (n = 37 cells;
P10-P15). The averages are not statistically different.
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Evoked IPSC does not show repetitive activity
If the firing rate of basket cells was not affected, what causes
the sIPSC frequency to increase in the mutant? One mechanism is that
after Kv1.1 deletion, each action potential generates multiple IPSC
responses. We therefore used evoked IPSCs to examine whether multiple
IPSC activity follows a single stimulation in the mutant. A fine-tip
bipolar stimulating electrode was placed within the inner one-third of
the molecular layer to elicit evoked IPSC in a Purkinje cell.
Excitatory transmission was blocked by CNQX and APV. Stimulation was
increased from 10 to 100 V, but only stimulation at 80 V, which was
near maximal stimulation, was analyzed. At 80 V stimulation, each
experiment consisted of 50 single stimulations given every 2 sec. The
result from a mutant is shown in Figure
6. Figure 6A shows six
traces showing the evoked response superimposed on background
spontaneous activity. The amplitude of the evoked IPSC varied
considerably in repeated stimulation, as has already been reported in
normal slices (Vincent et al., 1992 ). Despite the varying pattern of
the background spontaneous activity, survey of the individual traces
did not reveal poststimulation multiple discharges that correlated with
the stimulation. Two quantitative means were further used to examine
this point. First, we stacked all 50 traces together (Fig.
6B) and calculated the ensemble average (Fig.
6C). We then selected 3 of the 50 traces in which the evoked
IPSC response is devoid of overlapping spontaneous events for the first
60 msec (an example is the fifth trace in Fig. 6A).
We then calculated the average of these three traces, starting at the
stimulation artifact and ending 60 msec later. This average segment
represents the shape of an evoked response that does not exhibit
repetitive discharge during its early phase. We next asked the
following question: does the average behavior of the 50 traces reflect
the sum of an evoked response consisting of a single IPSC
superimposed on random background sIPSC activity? To answer this
question, we calculated the average of the baseline spontaneous
activity before stimulation and predicted the behavior after stimulation by adding to this average a scaled version
of the evoked response based on the three traces. The result is shown as the smooth trace in Figure 6C. We can now compare the
smooth trace and the ensemble average of the 50 traces after
stimulation. This comparison (Fig. 6C) demonstrates that the
poststimulation behavior is well fitted by the sum of random
prestimulation activity plus an evoked response that elicits only a
single IPSC. For example, the ensemble average of the poststimulation
activity, starting 60 msec second after the stimulation (the time at
which the evoked response is mostly over) and ending at 600 msec after
the stimulation, is identical to the ensemble average of the
spontaneous activity before the stimulation. Similar analysis applied
to the wild-type slice reached the same conclusion (Fig.
6D-F). The averaged peak of the evoked
response is 435.9 ± 64.7 pA (n = 10) in the wild type, which is not statistically different from that of 547.8 ± 103.4 pA (n = 13, p > 0.05) in the
mutant. Furthermore, with the amplitude normalized to the same
value, the shape of the averaged evoked response is the same for both
the mutant and the wild type (Fig. 6G).

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Figure 6.
Evoked responses in mutant (left)
and wild-type (right) Purkinje cells. Evoked IPSC
responses were elicited by extracellular stimulation of the inner
one-third of the molecular layer where the basket cells reside.
A shows six traces from an ensemble of 50 traces, each
evoked by a single stimulation of 80 V. Stimulation was applied every 2 sec. Results are from a P13 mutant mouse. B shows the
superimposition of the 50 traces; C shows the ensemble
average of the 50 traces. The smooth trace was calculated as described
in Results. D-F show similar analysis performed
on a wild-type Purkinje cell from a P13 wild-type mouse.
G compares the shape of the average evoked response from
the mutants (n = 13 cells) and the wild type
(n = 10 cells). The background spontaneous activity
was subtracted before display. The amplitude of the two evoked
responses has been normalized to the same peak amplitude.
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For the second quantitative method to evaluate whether the evoked IPSC
is followed by repetitive activity, we measured the average event
frequency over a 400 msec segment before and after the stimulation. The
results (Fig. 7C) reveal no
significant difference between the prestimulation and poststimulation
event frequency. Finally, Vincent et al. (1992 ; their Fig. 7) reported
double synaptic events in which the evoked response consisted of two
closely spaced events [also see Auger et al. (1998) ]. To determine
whether there might be more occurrences of these double synaptic events
in the mutant, we first computed the event frequency over a 50 msec
segment before the stimulation. We then computed the event frequency
over a 50 msec segment immediately after the stimulation, minus one event associated with the stimulation. There is no significant difference between these two event frequencies (Fig. 7).

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Figure 7.
Analysis of the event frequency before and after
stimulation. A and B show events over a
50 msec segment before and after stimulation. C shows
the measured event frequency over 50 or 400 msec segments before and
immediately after stimulation. For the 50 msec segments, the counts of
the poststimulation events did not include the single event associated
with the stimulation. The prestimulation and poststimulation event
frequency were not statistically different
(p > 0.05) for both the wild type
(n = 10) and mutant (n = 13).
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In summary, our evoked IPSC analysis suggests that the increase in
frequency of sIPSC in the mutant cannot be accounted for by multiple
IPSCs evoked by a single basket cell action potential. This, coupled
with an unaltered basket cell firing rate, suggests that the locus of
hyperexcitability in the mutant basket cell lies downstream from the
cell body and upstream from the boutons. The simplest mechanism, as
examined in Discussion, is that Kv1.1 deletion alters the
likelihood of action potentials arriving at the nerve terminal.
Effects of potassium channel blockers on wild-type slices
If the change in sIPSC in the mutant reflects a direct role of
Kv1.1 in modulating the excitability of the basket cells, then we
should be able to reproduce key features of the mutant phenotype by
pharmacological block of Kv1.1 in wild type. In mammalian cell lines
that have been transfected with Kv1.1 (Grissmer et al., 1994 ), the
Kv1.1 homomultimeric channels are blocked by 4-AP
(Kd ~290 µM), TEA
(Kd ~0.3 mM), and DTX
(Kd ~20 nM). We therefore tried some of these blockers on wild-type slices, keeping the concentrations lower than or at the Kd values to
minimize nonspecific block of other K channel subtypes.
The result for 4-AP (0.3 mM) is shown in Figure
8. Figure 8A shows a
plot of the current integral of sIPSCs (over evenly spaced 1.23 sec
segments) for a single wild-type cell before and after 4-AP
application. There was a transient increase in the current integral
that was followed by a slowly declining response. Adding APV and CNQX
on top of 4-AP did not change this latter response, suggesting that the
slowly declining response elicited by 4-AP did not contain any
excitatory component (Fig. 8A). The initial transient
response in 4-AP also lacked an excitatory component, because it was
also present when APV and CNQX were added before 4-AP was
applied (Fig. 8B). The response elicited by 4-AP was completely blocked by bicuculline (Fig. 8A,B). We
conclude that 4-AP, at this low concentration of 0.3 mM,
selectively blocks a subset of K channels that normally controls
GABAergic inhibition. Does 4-AP mimic the mutant phenotype in producing
a specific effect on the sIPSC frequency but not its amplitude?

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Figure 8.
Effect of 4-AP on the wild-type and null sIPSC.
A shows the effect of 4-AP (0.3 mM) on sIPSC
from a wild-type cell, followed by application of excitatory
transmission blockers [APV (100 µM) and CNQX (10 µM)] and bicuculline (10 µM) to verify the
inhibitory nature of the response evoked by 4-AP. B
shows that a similar result (from a different wild-type cell) was
obtained if APV and CNQX were applied before 4-AP
application. C and D show similar
experiments performed on sIPSC from a mutant Purkinje cell. In all
cases, the current integral of sIPSC was used to monitor the effects of
the drug application. Representative current traces are shown at the
indicated times. E, F, 4-AP selectively affects the
frequency (E), but not amplitude
(F), of wild-type sIPSC. Probability density
functions for the inter-event interval (E) and
amplitude (F) were computed for the sIPSC from
the same wild-type cells before and after 4-AP (0.3 mM)
application. Bin width was 0.007 sec in E and 10 pA in
F. Note that only the frequency (inter-event interval
distribution) was affected. This selective effect of 4-AP on the
frequency of the wild-type sIPSC mimics the selective effect on the
frequency of sIPSC produced by the Kv1.1 null mutation (see Fig.
3A,B).
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Figure 8E,F shows the distributions of the
inter-event intervals (E) and amplitudes
(F) calculated from the same group of cells before
and after 0.3 mM 4-AP application. By comparison with the
mutant data (Fig. 3A,B), it is clear that 4-AP reproduced the key phenotype of the mutant in its selective effect on the sIPSC
frequency. Application of 4-AP increased the mean frequency of the
wild-type sIPSCs (Fig. 8E) from 3.5 ± 0.8 sec 1 to 7.0 ± 1.3 sec 1
in the same cells tested (n = 4, p < 0.05). In contrast, the mean sIPSC amplitude (Fig.
8F) was not affected (370.1 ± 61.8 pA before
4-AP and 386.7 ± 104.1 pA after 4-AP; n = 4, p > 0.05).
Figure 9 (left) summarizes the
average results in wild-type slices for all of the blockers examined
(4-AP = 0.3 mM; DTX = 8 nM;
TEA = 0.3 mM). In all cases, the K channel blockers
were added to normal saline solutions, and the fractional change in the amplitude and the frequency of the spontaneous currents was measured. Although the solutions contained no excitatory
transmission antagonists, we assumed that only GABAergic responses were
elicited by the K channel blockers at these low concentrations because the response in the presence of K channel blockers was completely eliminated by bicuculline. Figure 9 (left) shows that in the
wild-type slices, these K channel blockers selectively increased the
sIPSC frequency (top) and not its amplitude
(bottom). Hence, the hallmark of the Kv1.1 null phenotype
was reproduced in the wild-type slices by these K channel blockers, at
least in these low concentrations of blockers that were used.

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Figure 9.
Summary data on the effects of K channel blockers
on the frequency and amplitude of wild-type (left) and
mutant (right) sIPSC. For each parameter (amplitude or
frequency), we calculated, for the same cell, the
fractional change in its value before and after the drug
application. Each experiment consisted of a baseline recording of sIPSC
for 15 min followed by 15 min of drug application. Event analysis was
performed to extract sIPSC amplitude and inter-event intervals for each
of the 15 min segments. Bath concentrations of drugs used are as
follows: 4-AP (0.3 mM), DTX (8 nM), and TEA
(0.3 mM). * denotes that the values were different from the
control values at a statistically significant level of
p < 0.05 using a paired two-population
t test from the software Origin. Note that all other
values shown are not significantly different from the control,
including all of the amplitude data, and in particular,
the frequency data for TEA in the mutant.
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Residual sensitivity of the mutant to Shaker channel blockers
An interesting issue is whether Kv1.1 is the only K
channel subtype that modulates GABAergic inhibition. We therefore
applied K channel blockers (4-AP, TEA, and DTX) to the mutant slices to determine whether the sensitivity of sIPSC to K channel blockers was
abolished and to compare the results with those from the wild type.
Figure 8C,D shows that 4-AP (0.3 mM) produced in
the mutant a selective increase in GABAergic inhibition qualitatively
similar to that produced in the wild type. Figure 9 (right)
summarizes the results of K channel blockers on the mutant.
Interestingly, residual effects of K channel blockers were still
present for 4-AP and DTX but not for TEA. In the case of 4-AP and DTX,
the response elicited by these drugs was still characterized by a selective increase of frequency over amplitude. In the case of TEA, the
Kv1.1 null mutation appears to have eliminated the TEA response, at
least at 0.3 mM.
It is interesting that after Kv1.1 deletion, 4-AP still produced a
similar and even larger fractional effect on the sIPSC frequency in the
mutant. One possibility is that the residual K channels in the mutant
have a higher 4-AP sensitivity than the wild type. This might arise,
for example, if Kv1.1 deletion causes a change the subunit composition
of the residual heteromultimeric K channels, causing a shift in their
4-AP sensitivity.
Collectively, the simplest interpretation of these results is that
other Shaker-type K channels (such as Kv1.2) remain in the Kv1.1 mutant
that still contribute to control of GABAergic inhibition. However, it
is also clear that these residual K channels cannot fully compensate
for the loss of Kv1.1. Indeed, a TEA-sensitive component in the
endogenous K currents appears to have been selectively abolished.
Behavioral studies on motor skill
We have previously shown that the Kv1.1 mutant mice, when forced
to swim in cold water, exhibited an inability to maintain axial
orientation near the end of a 2 min swim, followed by generalized body
tremors. We now test the ability to maintain balance in a more
physiological setting.
Two behavioral tests (stationary thin rod and rotarod) were used.
Mutant mice (21-32 d old) and age-matched wild-type littermate controls were used. All tests were performed with the investigator blinded to the genotype. In the stationary thin rod test (Fig. 10B), mutants showed
a significantly shorter retention time than the wild type in 3 consecutive test days. Furthermore, because the Kv1.1 mutants are
predisposed to spontaneous epileptic activities (Smart et al., 1998 ),
an important issue is whether spontaneous seizures might occur while
the mice are on the thin rod, causing the mice to fall. We therefore
performed simultaneous EEG measurements on mice undergoing the thin rod
test for both mutants (n = 10) and wild-type mice
(n = 11). We considered it important to perform EEG
measurements on the wild-type mice because we wanted to rule out the
added weight of the electrodes and the connecting wire in causing mice
to fall. In these experiments, we detected no epileptic activities,
both before and during the brief stay on the stationary thin rod, that
could explain the shortened retention time in this test. These results
were averaged together with those obtained without EEG measurements and
are displayed in Figure 10B.

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Figure 10.
Motor skills tests on wild-type and Kv1.1 null
mutant mice. A shows retention time on a rotarod;
B shows retention time on a thin stationary rod. The
same mice were tested on consecutive days. *** denotes mutant values
that were statistically different from the wild-type values at
p < 0.001. The shorter retention time of the
mutant on the thin stationary rod was not caused by a heavier body
weight, because the body weights of the two groups of mice were not
significantly different, being 9.8 ± 2.4 gm in the mutant
(n = 15) and 11.1 ± 3.0 gm in the wild-type
(n = 27, p > 0.05).
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In the second test (rotarod), the mice had to actively walk to stay on
the thicker but rotating rod. In this test, interestingly, the mutants
failed to show a defect in their ability to remain on the rotating rod
(Fig. 10A). Collectively, our results suggest that
only certain motor skills, such as those needed to maintain axial
balance, are selectively affected by the Kv1.l null mutation.
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DISCUSSION |
This paper identifies, through a combined approach of gene
deletion and electrophysiological studies, a specific K channel subtype
(Kv1.1) as a major determinant of the spontaneous GABAergic inhibition
of Purkinje cells in the cerebellum. The function of Kv1.1 is highly
specific: it modulates only the frequency and not the amplitude or
shape of the sIPSC. The mIPSC remains unchanged; nor is the spontaneous
firing rate of basket cells affected. Spontaneous excitatory
transmission appears unperturbed. Residual K channel genes cannot fully
compensate for the functional loss of this single gene. Kvl.1 null mice
show a subtle defect in fine motor skills, as exemplified by a
compromised ability to maintain balance on a thin stationary rod. Our
finding is consistent with the known localization of Kv1.1 to the
basket cell axonal arborization that embraces the Purkinje cell, a
strategic position to modulate the final balance in the excitatory and
inhibitory signal integration of the only efferent output from the cerebellum.
How does the Kv1.1 null mutation augment GABAergic current
activities on the Purkinje cell body?
Four distinct mechanisms could account for the increase in sIPSC
detected at the Purkinje cell soma. These mechanisms are (1) an
increase in excitatory drive to basket cells, (2) a change in basket
cell innervation on the Purkinje cell because of developmental plasticity, (3) an upregulation of GABAA receptors on the
Purkinje cell, and (4) an increase in the excitability of the basket
cells. Mechanisms 1 and 2 have been discussed in Results and are
considered unlikely. The possibility of an upregulation of
GABAA receptors on the Purkinje cell is also considered
unlikely. First, the amplitude of sIPSC is unaffected, which is the
opposite of that expected if there were an increase in
GABAA receptor density. Second, it is unclear how an
increase in GABAA receptor density could produce a change
in the frequency that is selective only for sIPSC and not for mIPSC.
This leaves the fourth possibility, which is that Kv1.1 deletion
enhances the excitability of the basket cell. The locus of the
excitability change is specific, as discussed below.
The locus of excitability change on the basket cell is downstream
from the cell body and upstream from the boutons
Figure 1D shows a scheme of a basket cell with a
cell body and a single axon that gives off a descending collateral to
embrace the Purkinje cell with several boutons. This scheme is based on a 13-d-old biocytin-filled basket cell from Llano et al. (1997) . Deletion of Kv1.1 could enhance excitability of the basket cell at
three sites: the basket cell body, the boutons, and the branch points
or axonal arborizations that precede the boutons.
Basket cell firing rate
Basket cells generate spontaneous action potentials (Midtgaard,
1992 ; Llano and Gerschenfeld, 1993 ; Vincent and Marty, 1996 ). A
doubling of the basket cell firing rate would explain the doubling of
sIPSC frequency. However, the Kv1.1 null mutation does not change the
basket cell firing rate (Fig. 5). Our basket cell recordings are also
consistent with recent findings by Southan and Robertson (1998) that
DTX-sensitive K channels (including presumably Kv1.1) are absent from
the basket cell body. Hence, the increase in sIPSC frequency in the
mutant must occur via a mechanism located downstream from the cell body.
Bouton excitability
There are various scenarios by which the excitability of the
boutons could be elevated in the mutant.
Increased evoked release probability. If Kv1.1 is located on
the presynaptic membrane, its deletion will broaden the action potential. This will increase the evoked release probability. This, in
turn, will reduce the number of failures, causing an increase in the
event frequency. There are compelling arguments against this scenario.
For most models of synaptic release (except the case of a synaptic
connection with one release site), an increase in the evoked release
probability should also change the skew of the event amplitude
distribution as well as increase the mean amplitude of the successful
events. The basket cell-Purkinje cell connection satisfies a multisite
release, because the mean amplitude of mIPSC is about three times
smaller than that of the sIPSC. Given this, an increase in release
probability is unlikely, because the shape of the sIPSC amplitude
distribution (the successful events), including its mean and variance,
is totally unaffected by the mutation (Fig. 3B). This,
coupled with the unaltered mean and variance of the mIPSC amplitude
distribution (Fig. 4C), suggests that the mean quantal
content and the quantal size may also be unaffected by the mutation.
Repetitive IPSC discharge. The boutons in the mutant may be
hyperexcitable, allowing an action potential to trigger multiple IPSC
responses. However, evoked IPSC did not show repetitive discharge in
the mutant (Figs. 6, 7). Alternatively, Kv1.1 might cause a depolarization of the bouton resting potential, rendering the bouton
hyperexcitable. The fact that the frequency of mIPSC, which is known to
be sensitive to the resting potential, is unaffected argues against
this possibility. Taken together, our data give no indication that Kv
1. 1 deletion alters the excitability of the boutons.
Branch point failures
The unaltered basket cell firing rate, coupled with the
preservation of one-to-one evoked response after Kv1.1 deletion,
suggests that the locus for the increased excitability lies downstream from the cell body and upstream from the boutons. The simplest explanation of our data is that there is an increased likelihood of
action potentials reaching the nerve terminal. The affected locus is
likely the branch points or the axonal swelling that is sometimes seen
(Llano et al., 1997 , their Fig. 5). Branch points or axonal swellings
are sites of low safety for nerve conduction because of impedance
mismatch. If Kv1.1 is localized at or near the branch points, it may
regulate conduction failures. For example, deletion of Kv1.1 should
strengthen the inward sodium currents and improve the safety factor to
enhance propagation past the branch points. Consequently, for a given
rate of spontaneous firing generated upstream, more action potentials
get past the axonal branch points and invade the boutons. This
hypothesis is attractive for several reasons. First, Kv1.1 has a unique
localization at septate-like junctions within the axonal arborization
that precedes the nerve terminal (Wang et al., 1994 , their Fig. 5c).
Second, regulation of neurotransmission via modulation of branch point excitability has been recognized (Barron and Matthews, 1935 ; Krnjevic and Miledi, 1959 ; Grossman et al., 1973 ; Deschenes and Landry, 1980 ).
Recently, Vincent and Marty (1996) suggested that random branch point
failures in the basket cells may account for the large variance in the
amplitude of the evoked IPSC. In paired recordings of pyramidal cells
in hippocampal slice cultures, Debanne et al. (1997) demonstrated that
a fast-inactivating, A-type K channel may be involved in presynaptic
action potential failures at axonal branch points.
The main effect of the mutation appears to increase the likelihood of
conduction past a branch point that controls the same group of boutons
downstream from that branch point. In Figure 1D, the
likely loci are either the main collateral branch point or the axonal
swelling. At these loci, a reduction in action potential failure rate
will increase the sIPSC frequency without affecting the shape (mean and
variance) of the successful event amplitude. A further test of this
hypothesis will require analysis of failures in evoked IPSC in paired
recordings from Purkinje and basket cells. Extracellular stimulation,
as performed in this study, suffers from the uncertainties that the
branch points may be directly stimulated and that we have no direct
monitoring of successful axonal stimulation.
Deficits in motor skill
The Kv1.1 null mice show a defect in ability to maintain balance
on a thin stationary rod. It is possible that an abnormal shift in the
GABAergic tone (i.e., elevated in the Kv1.1 mutant) shifts the overall
balance between excitatory and inhibitory signal integration in the
cerebellum, thus contributing to inability to maintain axial balance.
Interestingly, stress appears to exacerbate the severity of axial
balance defects, as revealed by the inability of the mutant mice to
remain upright during a swim in cold water (Zhou et al., 1998 ).
Catecholamines have been shown to modulate GABAergic activity in the
cerebellum (Llano and Gerschenfeld, 1993 ). CNS transmission is
temperature sensitive (Hartingham and Larkman, 1998 ), and conduction at
branch points is particularly sensitive to temperature changes
(Westerfield et al., 1978 ). Kvl.1 deletion might make the conduction
failures at branch points very sensitive to temperature changes.
 |
FOOTNOTES |
Received Nov. 18, 1998; revised Jan. 26, 1999; accepted Jan. 27, 1999.
This work was supported by Grant RO1-23375 from National Institutes of
Health to S.Y.C. and A.M. We thank Tammy Robbins and Denise Springman
for expert technical assistance.
Correspondence should be addressed to S.Y. Chiu, Department of
Physiology, University of Wisconsin School of Medicine, 1300 University
Avenue, 285 Medical Science Building, Madison, WI 53706.
 |
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