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Essential role of axonal VGSC inactivation in time-dependent deceleration and unreliability of spike propagation at cerebellar Purkinje cells
Molecular Brain volume 7, Article number: 1 (2014)
The output of the neuronal digital spikes is fulfilled by axonal propagation and synaptic transmission to influence postsynaptic cells. Similar to synaptic transmission, spike propagation on the axon is not secure, especially in cerebellar Purkinje cells whose spiking rate is high. The characteristics, mechanisms and physiological impacts of propagation deceleration and infidelity remain elusive. The spike propagation is presumably initiated by local currents that raise membrane potential to the threshold of activating voltage-gated sodium channels (VGSC).
We have investigated the natures of spike propagation and the role of VGSCs in this process by recording spikes simultaneously on the somata and axonal terminals of Purkinje cells in cerebellar slices. The velocity and fidelity of spike propagation decreased during long-lasting spikes, to which the velocity change was more sensitive than fidelity change. These time-dependent deceleration and infidelity of spike propagation were improved by facilitating axonal VGSC reactivation, and worsen by intensifying VGSC inactivation.
Our studies indicate that the functional status of axonal VGSCs is essential to influencing the velocity and fidelity of spike propagation.
Information flows among network neurons are fulfilled by spike propagation on the axons, signal transmission at the synapses, synaptic integration on the dendrites/soma [1–5]. The axons as a subcellular compartment play critical roles in processing neuronal codes , such as spike initiation [6–18], spike amplification [19, 20] and spike propagation [21–24]. The patterns of axonal digital spikes constitute neuronal output codes to organize the brain functions. The amplification of axonal spikes ensures neuronal codes to be digital. The fidelity and velocity of axonal spike propagation influence the spikes to be efficient codes .
The secure propagation of sequential spikes toward axonal terminals has been challenged recently [23, 24, 26–28]. The infidelity of spike propagation occurred in the neurons that produced high frequency spikes [1, 29], such as cerebellar Purkinje cells whose firing rates were up to 500 Hz [9, 30–32]. Furthermore, the velocity of spike propagation presumably reduced in firing sequential spikes . The infidelity of spike propagation enables some digital spikes to be lost, and the deceleration of spike propagation influences the temporal precision of neuronal digital codes. In order to secure axonal spike propagation without any loss of these digital codes and their precision, we have to figure out the mechanisms underlying spike propagation infidelity and deceleration.
The fidelity of spike propagation on the axons was influenced by membrane potential that altered VGSC kinetics [33–35], such as worsened by a depolarization and improved by a hyperpolarization [24, 28]. Spike propagation was presumably triggered by local currents that raised membrane potentials to activate VGSCs . Moreover, the depolarization recorded in vivo was classified into the steady and fluctuation patterns . The steady-state depolarization inactivated VGSCs [19, 33], and the hyperpolarization pulses facilitated their activation . In addition, action potentials in vivo were sequential in nature [37–40], which affected VGSCs’ kinetics [41, 42]. Therefore, the deceleration and infidelity of spike propagation may result from the alternation of VGSC functional status. We examined this hypothesis in the axons of cerebellar Purkinje cells, and found time-dependent deceleration and infidelity in spike propagation via VGSC inactivation.
The velocity and fidelity of spike propagation were measured at various time points of sequential spikes. Time-dependent changes in propagation velocity and fidelity, such as deceleration and infidelity, were hypothetically related to the functional status of voltage-gated sodium channels (VGSC). To test this hypothesis, we analyzed the changes in the velocity and fidelity of spike propagation while upregulating or downregulating VGSC’s functions. The proportional changes in VGSC dynamics vs. spike propagation denote that the deceleration and infidelity of spike propagation are controlled by VGSC’s functions.
The time-dependent deceleration and infidelity of spike propagation on the axons of Purkinje cells
Spike propagation on the main axons of cerebellar Purkinje cells was measured while sequential spikes were evoked on their somata by whole-cell pipette and the propagated spikes were recorded at their axonal terminal blebs by loose-patch pipette (Figure 1A). Spike propagation fidelity was assessed by the number of spikes propagated into terminals versus the number of spikes evoked at soma [23, 24, 29]. Spike propagation velocity was calculated by a formula that the lengths between soma and axonal bleb were divided by peak-time from somatic spikes to axonal ones (Figure 1C). Sequential depolarization pulses were given for 0.5 second, which was based on a fact that the responses of Purkinje cells to in vivo stimuli lasted for seconds [43, 44]. The spikes reaching to axonal terminals were accounted if their amplitudes were above the mean values plus three-times’ standard deviation of signal noise (red lines in Figure 1B; ).
Figure 2 illustrates the effect of spiking time on spike propagation at different frequencies. The waveforms from top to bottom in Figure 2A are axonal spikes, somatic spikes’ dV/dt and somatic spikes (100 Hz), respectively. Pair waveforms in Figure 2B are the expanded axonal spikes (top) and somatic spikes’ dV/dt (bottom) in different phases (corresponding colors in Figures 2A and 1B), in which the spikes are induced by pulses at 100 (left column) and 200 Hz (right). Peak-time intervals between somatic spikes and axonal ones indicate that spike propagation delays while spiking duration prolongs and spiking frequency rises. Moreover, spike propagation is increasingly failed (red vertical bars) when spiking time prolongs (Figure 2C ~ D). In spike frequency at 200 Hz, the decrease of spike propagation velocity is ahead of the failure of spike propagation. Statistical analyses in Figure 2E illustrate the normalized velocity of spike propagation versus time at 200 (red symbols; n = 12) and 100 Hz spikes (blacks). Figure 2F shows the fidelity of spike propagation vs. time at 200 (reds; n = 12) and 100 Hz (blacks). These results indicate time- and frequency-dependent attenuation in spike propagation velocity and fidelity, i.e., spike propagation deceleration and infidelity. Parallel changes in spike propagation velocity and fidelity indicate that they may share similar mechanism.
We then analyzed whether spike propagation velocity or fidelity is more sensitive to spiking time. Figure 3 illustrates the velocity and fidelity of spike propagation versus time, in which somatic spikes are induced at different frequencies (100 in A, 150 in B and 200 Hz in C). With increases in spiking time and frequency, the attenuation of propagation velocity appears ahead of that of fidelity. Figure 3D shows the relationship between spike propagation velocity and fidelity at 200 Hz in frequency, in which their values are taken from corresponding time points in Figure 3C. These results indicate that the spike propagation velocity is more sensitive to spiking time than propagation fidelity.
In terms of a relationship between spike propagation velocity and fidelity, Figure 4 illustrates the changes in the velocity and fidelity of spike propagation during long-term spikes. A deceleration of spike propagation is ahead of the infidelity of spike propagation (Figure 4A ~ B). Interestingly, the attenuation of spike propagation velocity partially recovers after a spike fails to propagate (Figure 4C ~ D). Moreover, the propagation velocity appears attenuated to two levels (Figure 4B), in which level one (blue dash-line) is defined when spike failure occurs randomly and level two (purple) is defined when the propagation of subsequent spike fails absolutely. Spike propagation velocity recovers to level one from level two after it fails. The immediate recovery of propagation velocity after the propagation failure of a spike implies that the deceleration and infidelity of spike propagation may share similar mechanisms.
Spike propagation was presumably based on local currents that depolarized membrane potentials to activate VGSCs [1, 21–24, 33, 35]. We focused on studying the roles of VGSC’s functional status in the deceleration and infidelity of spike propagation on the axons of cerebellar Purkinje cells.
Facilitating VGSC’s reactivation reverses the time-dependent deceleration and infidelity of spike propagation
The facilitation of VGSC reactivation was done by two approaches, i.e., the prevention of VGSC inactivation by using anemone toxin (ATX), a blocker of VGSC inactivation [45, 46], and the promotion of VGSC recovery from inactivation by hyperpolarization . If VGSC functional status controls the time-dependent deceleration and infidelity of spike propagation, the facilitation of VGSC reactivation should block these phenomena. Moreover, the values of dV/dt for spike rising phase (the change of spike potentials per time unit) were thought to be the indices of VGSC’s activation and reactivation [47, 48]. We also measured the changes of spike’s maximal dV/dt during long-term spiking.
Figure 5 illustrates the dynamical changes of maximal dV/dt values when the axons of cerebellar Purkinje cells propagate sequential spikes. The maximal dV/dt values appear reduced during long-lasting spiking (Figure 5A; n = 12). By plotting spike propagation velocity or fidelity versus maximal dV/dt in corresponding time points, we observed the proportional correlations between the normalized velocity of spike propagation and maximal dV/dt (Figure 5B, Boltzmann’s fitting) or between the fidelity of spike propagation and maximal dV/dt (Figure 5C). These results indicate that the ability of VGSC reactivation influences the velocity and fidelity of spike propagation.
We subsequently examined the roles of hyperpolarization in regulating spike propagation velocity and fidelity since a hyperpolarization promoted VGSC recovery from inactivation . Figure 6 shows the effect of hyperpolarization on spike propagation fidelity. Hyperpolarization appears to attenuate the failure of spike propagation (Figure 6A ~ B). The failure of propagating sequential spikes at 200 Hz (black symbols in Figure 6C) is significantly prevented by hyperpolarization (red symbols; n = 9, p < 0.01). In the meantime, the decrease of maximal dV/dt values during long-term spiking (black symbols in Figure 6D) is reversed by hyperpolarization (red symbols; n = 9, p < 0.01). Moreover, Figure 7 shows the effect of hyperpolarization on spike propagation velocity. Figure 7A ~ B shows that the hyperpolarization pulses appear to attenuate the deceleration of spike propagation. The deceleration of propagating spikes (200 Hz) at level one and level two (black symbols in Figure 7C ~ D) in this example is prevented by hyperpolarization (reds). Statistic analysis in Figure 7E shows that the deceleration of spike propagation (black symbols) is reversed by hyperpolarization (red symbols; n = 9, p < 0.01). Therefore, the upregulation of axonal VGSC’s functions by hyperpolarization secures the velocity and fidelity of propagating spikes.
Furthermore, we examined the roles of ATX in regulating spike propagation velocity and fidelity. 5 μM ATX was puffed to axonal middle points between somata and axonal blebs of Purkinje cells. Figure 8 illustrates the effect of ATX on spike propagation fidelity. ATX appears to reduce propagation infidelity (Figure 8A ~ B). The shortfall of spike propagation at 200 Hz (black symbols in Figure 8C) is partially blocked by ATX (reds; n = 8, p < 0.01). The decrease of maximal dV/dt during spike propagation (black symbols in Figure 8D) is also reversed by ATX (red symbols; n = 8, p < 0.05). In addition, Figure 9 shows the influence of ATX on spike propagation velocity. Figure 9A ~ B shows that ATX appears to reduce the deceleration of spike propagation. The deceleration of propagating spikes (200 Hz) to level two (black symbols in Figure 9C ~ D) in this example is reversed by ATX (red symbols). This reversion is statistically significant (p < 0.05, n = 8; Figure 9E). Thus, ATX secures spike propagation velocity. The upregulation of axonal VGSC dynamics by ATX secures the velocity and fidelity of propagating sequential spikes.
The results above indicate that the lowered functional status of axonal VGSCs is reason for the deceleration and infidelity of propagating sequential spikes. To be sure that the functional status of axonal VGSCs is essential to the fidelity and velocity of spike propagation, we examined whether the attenuation of VGSC function makes spike propagation deceleration and infidelity to be worsen.
Suppressing VGSC’s reactivation worsens the time-dependent deceleration and infidelity of spike propagation
As VGSC’s inactivation is depolarization- and time-dependent [33, 35], VGSC’s functional status was suppressed by depolarizing membrane potentials. Instead of applying a train of depolarization pulses to induce spikes, we applied a long-term steady depolarization to evoke sequential spikes and measured the fidelity and velocity of spike propagation.
Figure 10 shows the effect of long-term steady depolarization on the fidelity of spike propagation on the axons of cerebellar Purkinje cells, in which the depolarization (0.5 second) is set on an intensity to induce spikes at 100 Hz. Comparing the spikes induced by the steady depolarization to the spikes induced by a train of depolarization pulses at 100 Hz (Figure 10A), we can see that some spikes induced by the steady depolarization (Figure 10B) fail to be propagated to the axonal terminal. Spike propagation fidelity shifts toward downside in this steady depolarization (red symbols in Figure 10C), compared to that in a train of depolarization pulses (black symbols). In the meantime, maximal dV/dt for the spikes induced by steady depolarization decrease with time (red symbols in 10D). Thus, the steady depolarization worsens the time-dependent infidelity of spike propagation by inactivating VGSCs on the axons of Purkinje cells.
Figure 11 shows the effect of long-time steady depolarization on the velocity of spike propagation on the axons of cerebellar Purkinje cells. The peak-time differences between axonal spikes and somatic spike dV/dt appear shorter during pulse depolarization (Figure 11A) than steady depolarization (Figure 11B). Figure 11C shows a significant lower propagation velocity of somatic spikes induced by the steady depolarization (red symbols) than by a train of depolarization pulses (black symbols). Therefore, a steady depolarization worsens the time-dependent deceleration of spike propagation by inactivating VGSCs on the axons of Purkinje cells.
Our study demonstrates the time-dependent infidelity and deceleration of spike propagation in the axons of cerebellar Purkinje cells (Figures 1 and 2), in which spike propagation velocity is more sensitive to spiking time (Figures 3 and 4). Propagation fidelity and velocity are proportionally correlated to spike rising slopes (Figure 5). The time-dependent infidelity and deceleration of spike propagation are improved by facilitating VGSC reactivation (Figures 6, 7, 8 and 9) and are exacerbated by inactivating VGSCs (Figures 10 and 11). Thus, the functional status of VGSCs is essential to control the propagation of digital spikes on the axons, sharing similar mechanism to their generation. These data reveals a notion that the fidelity and velocity of spike propagation depend on the time of firing sequential spikes. The influences of membrane potentials on spike propagation are based on the change of VGSC’s functional status.
The fidelity of spike propagation enables the digital spikes to reach axonal terminals and trigger synaptic transmission, such that digital codes in the brain are securely propagated in neural networks. The stable velocity of spike propagation secures the temporal precision of neural codes. The amplification of incomplete spikes ensures the neuronal digital codes to reach axonal terminal [19, 20]. To most neurons, these characteristics of spike propagation are beneficial to the efficient output of neuronal codes and the homeostasis of the neuronal networks. On the other hand, some neurons fire high frequency spikes, such as cerebellar Purkinje cells [9, 30–32]. Their responses to in vivo stimulation lasted for seconds [43, 44]. Persistent spikes in these neurons will intensively inhibit their downstream neurons to make them being functionally silent. The infidelity and deceleration of spike propagation as well as the failure of synaptic transmission will prevent the enhanced inhibition of their target cells. Therefore, the axons through regulating spike propagation and VGSC’s dynamics make their downstream neurons working properly, such that the brain functions are executed in the manners of precision and homeostasis.
Another physiological impact for the fidelity of spike propagation may be to make sure functional compatibility between presynaptic axons and postsynaptic neurons. The axons of cerebellar Purkinje cells sprout the branches, main axon and recurrent one. The main axon innervates neurons in deep nucleus and the recurrent axons project to adjacent Purkinje neurons [49–52]. The ability to encode digital spikes are diversified in these postsynaptic neurons [4, 53–56]. The activity diversity of postsynaptic neurons require presynaptic axonal branches to be functionally differentiated. They may follow a rule that the activity levels of presynaptic axonal branches match the activity levels of their target cells, i.e., the functional compatibility between presynaptic and postsynaptic partners. In our study, the fidelity of spike propagation is higher in recurrent branches vs. main axon. The abilities of encoding spikes are advanced in Purkinje cells vs. deep nucleus cells. In addition to functional differentiations among Purkinje cell axon branches and among their target neurons, the activity strengths between presynaptic and postsynaptic partners are proportionally correlated, i.e., active axonal branches innervate active target cells, or vice versa. Computational simulation indicates that their functional compatibility makes the neurons in microcircuit being activated appropriately. Hence, each cerebellar Purkinje cell differentiates the function of its axonal branches to be compatible with the function of their target neurons in order to form a homeostatic and efficient unit .
The “all or none” feature of the action potentials can be understood as their identical amplitudes in spike generation and the fidelity in spike propagation. This concept is not suitable for the infidelity and deceleration of spike propagation, in which the propagation of sequential spikes on the axons is failed to reduce their number at the terminals and is decelerated to slow down neuronal encodings. For instance, spike propagation was failed on the axons of certain neurons that fire high frequency spikes [23, 24, 26–28]; Figures 1, 2, 3 and 4). This infidelity of spike propagation on the axons makes neuronal digital codes deteriorated, such that the messages coded in the presynaptic neurons cannot be precisely detected by the postsynaptic neurons. In order to secure neural digital codes, spike propagation is expected to be ensured. Our results indicate that the prevention of VGSC inactivation or the facilitation of VGSC reactivation improves the infidelity of spike propagation, which should be a strategy to secure the neuronal digital codes.
The membrane depolarization recorded in vivo was generally classified into two patterns, steady depolarization and fluctuation in synaptic integrated signals . Steady depolarization inactivated VGSCs [33, 35]. Hyperpolarization pulses improved VGSC’s activation [34, 42]. Spikes’ generation on the fluctuated pulses is easily propagated to axonal terminals, and such less infidelity and deceleration may be useful to the neuronal encoding under the physiological condition. Spikes’ generation on steady depolarization (a more excitable state) is easily lost during their propagation on the axons, which may prevent the pathological overexcitation and save cellular energies. Thus, membrane potential and synaptic signal patterns regulate the fidelity and velocity of spike propagation in the favorable manners for neuronal encoding and seizure prevention. This functional coordination among synapses, cell bodies and axons constitutes a homeostatic process among subcellular compartments . The optimal ranges for spike generation and propagation within the efficient and physiological encodings remain to be defined.
In terms of correlations between the velocity and fidelity of spike propagation, our study indicates that the propagation velocity is more easily affected by long-term depolarization and spikes (Figures 3and 4). The decreases of spike propagation velocity fall into two steps, level one and level two (Figures 4, 7 and 9). Once the velocity of spike propagation is lowered to level two, a subsequent spike is surely failed to propagate to axonal terminals. After this failure, the velocity of spike propagation recovers to level one. The interaction of spike propagation velocity and fidelity indicate that spike propagation deceleration and infidelity share the common mechanism, i.e., VGSCs’ dynamics, in which the spike propagation velocity is more dependent of VGSC’s functions. The finding that both velocity and fidelity of spike propagation are controlled by VGSCs is advanced compared to previous studies that are focused on spike propagation fidelity or velocity .
What subtypes of VGSCs are involved in regulating the velocity and fidelity of spike propagation? Type I, II and VI are major type of VGSCs on the axons of the cerebellar Purkinje cells [50, 58–62]. Their inactivation during sequential spikes may lead to the infidelity and deceleration of spike propagation. NaV1.1 ~ 1.2 are distributed in the proximal axons of Purkinje cells, whereas NaV1.6 is abundant at nodes of Ranvier in distal axons . Therefore, NaV1.6 is most likely involved in time-dependent deceleration and infidelity of spike propagation in Purkinje cell axons, which remains to be examined once we are able to specifically manipulate NaV1.6 dynamics. It is noteworthy that the generation of action potentials needs both voltage-gated sodium channels and potassium channels. The role of potassium channels in spike propagation has not been placed in the scope of our current study. Previous studies indicated that potassium channels through affecting membrane potentials regulated the fidelity of spike propagation [24, 28]. The membrane potentials influence action potentials via VGSCs [34, 42]. The effect of potassium channels on spike propagation may be eventually through regulating the functional status of VGSCs, such that we focused on studying the role of VGSCs in spike propagation. The future studies should be focused on how sodium channels and potassium channels coordinately regulate the velocity and fidelity of spike propagation.
The infidelity and deceleration of spike propagation is due to VGSC inactivation. It remains to be investigated whether the processes are regulated by the intracellular signals, such as Ca2+/CaM-dependent protein kinases and phosphatases . As the infidelity and deceleration of the axonal spike propagation occur in the late phase of depolarization-induced spikes, these spikes will more or less raise intracellular Ca2+. This regulation is very likely. It is noteworthy that these signal molecules regulate the function of synapses and soma [63–66]. Therefore, the encodings of synaptic analogue signals and somatic digital spikes as well as the output of axonal spike signals are commonly regulated by intracellular signaling pathways. Whether these regulations are homeostatic in nature remains be examined.
The studies in cellular imaging suggest that action potentials can reach to axonal terminals. For instance, Ca2+ transient was detected at both locations of somatic spike generation and transmitter release . The spikes based on imaging sodium signals indicated that somatic spikes were faithfully propagated toward main axon as well as axonal collaterals in the limited frequency (<250 Hz; . These results were obtained from the studies in a single spike propagation or proximal axons. This suggestion may not be suitable for sequential spikes and their propagation to axonal terminals. In addition, one could argue that the axons might be injured during cutting cerebellar slices. As the infidelity of spike propagation can be almost reversed by afterhyperpolarization to reactivate VGSCs (Figure 6), this argument may not be an issue.
Methods and materials
Brain slices and neurons
All experiments were approved by the Institutional Animal Care Unit Committee in Administration Office of Laboratory Animals Beijing China (B10831). Cerebellar sagittal slices (400 μm) were prepared from Wistar rats in postnatal day 14 ~ 15 that were anesthetized by injecting chloral hydrate (300 mg/kg) and decapitated by a guillotine. The slices were cut by a Vibratome in the modified and oxygenized (95% O2 and 5% CO2) artificial cerebrospinal fluid (mM: 124 NaCl, 3 KCl, 1.2 NaH2PO4, 26 NaHCO3, 0.5 CaCl2, 5 MgSO4, 10 dextrose and 5 HEPES; pH 7.4) at 4°C, and were held in the normal oxygenated ACSF (mM: 126 NaCl, 2.5 KCl, 1.25 NaH2PO4, 26 NaHCO3, 2 CaCl2, 2 MgSO4 and 25 dextrose; pH 7.4) at 35°C for 1–2 hours. A slice was transferred to a submersion chamber (Warner RC-26G) and perfused by normal ACSF for electrophysiological experiments [57, 68–70].
Cerebellar Purkinje cells were identified based on their morphology and functions. Purkinje cells (somata above 40 μm) in the slices for whole-cell recording were located at the border between molecular layer and granule cells, and infused by fluorescence Alex-488 (5 μM in pipettes) under a DIC/fluorescent microscope (Nikon, FN-E600). The excited fluorophore showed the typical dendrites and axonal branches of Purkinje cells, through which we traced their main axons for recording spikes by loose-patch. Purkinje cells also were labeled by neurobiotin (Figure 1A). Purkinje cells showed fast spiking and no adaptation in amplitude and frequency [18, 42, 71–75].
Sequential spikes in Purkinje cells propagate on their main axons. The experiments were conducted by whole-cell recordings on their somata to induce spikes and by loose-patch recordings on the remote ends of their main axons (Figure 1A) to record the propagated spikes. The electrical signals were recorded by a MultiClapm-700B amplifier (Axon Instrument Inc, CA USA) and inputted into a pClamp-10 with 50 kHz sampling rate. The transient capacitance was compensated and output bandwidth was 3 kHz. The pipette solution for recording spikes in whole-cell model included (mM) 150 K-gluconate, 5 NaCl, 0.4 EGTA, 4 Mg-ATP, 0.5 Tris- GTP, 4 Na-phosphocreatine and 10 HEPES (pH 7.4 adjusted by 2 M KOH). The solution for axonal loose-patch recording was ACSF. The osmolarity of pipette solution made freshly was 295–305 mOsmol, and pipette resistance was 8 ~ 10 MΩ.
In the study of spike propagation on the main axons of Purkinje cells, we injected depolarization pulses in various durations and intervals into the somata to induce the spikes at 100 ~ 200 Hz, and recorded spike propagation at the remote ends of their main axons. In addition to fluorescent tracing, the spikes at soma and axonal bleb with phase-locking indicated the signals from a Purkinje cell. The fidelity of spike propagation on the axonal branches of Purkinje cells was assessed by a ratio of spikes recorded at axonal terminals to spikes induced on somata. The velocity of spike propagation on the axons of Purkinje cells was calculated by the formula that the lengths from somata to axonal blebs were divided by the peak-time intervals between axonal spikes and somatic ones, in which the somatic spikes were converted into dV/dt [17, 76]. As spike propagation was time-dependent, the fidelity and velocity of spike propagation at every 50 ms were averaged from ten spikes. This calculation method was also used to quantify spike-rising slope (maximal dV/dt). As the lengths of axons may be variable in our experiments, the presentation of spike propagation velocity was normalized.
The influence of VGSC’s functional status on spike propagation was studied. The inactivation of VGSCs was prevented by using anemone toxin (ATX), a blocker of VGSC inactivation [45, 46], or hyperpolarization pulses [34, 42]. 5 μM ATX was puffed onto the middle segment of main axons by ATX-containing pipette, while using whole-cell recording on soma and loose-patch recording on axonal bleb. The inactivation of VGSCs was made by using a steady depolarization [34, 42].
The data were analyzed if the recorded neurons had resting membrane potentials negatively more than −60 mV and action potentials above 70 mV. The criteria for the acceptation of each experiment also included less than 5% changes in resting membrane potential, spike magnitude, input and seal resistance. The values of the spike propagation velocity, fidelity and maximal dV/dt are presented as mean ± SE. The comparisons between groups are done by t-test.
Neurobiotin staining for cerebellar cells
Pipette solutions for whole-cell recordings included 0.2% neurobiotin, which were back-filled into the recording pipettes whose tips contained the standard solution. After electrophysiological study, the slices were rapidly placed into 4% paraformaldehyde in 0.1 M phosphate buffer solution (PBS) for fixation at 4°C about 48 hours. The slices were incubated in avidin and horseradish peroxidase (Vectastain ABC) for 3 hours, and then 1% DAB–CoCl2 (Sigma) 1 min for staining neurobiotin-filled cells. This reaction was stopped by PBS . Neurobiotin-stained cells were photographed under a scanning confocal microscope (Olympus FV-1000, Japan).
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We thank Kim Davis for the proof reading of English writing. This study is supported by the National Basic Research Program (2013CB531304 and 2011CB504405) and the Natural Science Foundation China (30990261 and 81171033) to JHW.
All authors declare that they have no competing interests.
ZY at al. work on the experiments and data analyses. JHW contributes to the project design and paper writing. All authors read and approved the final manuscript.
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Yang, Z., Gu, E., Lu, X. et al. Essential role of axonal VGSC inactivation in time-dependent deceleration and unreliability of spike propagation at cerebellar Purkinje cells. Mol Brain 7, 1 (2014). https://doi.org/10.1186/1756-6606-7-1
- Action potential
- Spike propagation
- Purkinje cell