Kv4 low voltage-activated A-type potassium channels are widely expressed in excitable cells, where they control action potential firing, dendritic activity and synaptic integration. Kv4 channels exist as a complex that includes K(+) channel-interacting proteins (KChIPs), which contain calcium-binding domains and therefore have the potential to confer calcium dependence on the Kv4 channel. We found that T-type calcium channels and Kv4 channels form a signaling complex in rat that efficiently couples calcium influx to KChIP3 to modulate Kv4 function. This interaction was critical for allowing Kv4 channels to function in the subthreshold membrane potential range to regulate neuronal firing properties. The widespread expression of these channels and accessory proteins indicates that the Cav3-Kv4 signaling complex is important for the function of a wide range of electrically excitable cells.

Encoding sensory input requires the expression of postsynaptic ion channels to transform key features of afferent input to an appropriate pattern of spike output. Although Ca 2+ -activated K + channels are known to control spike frequency in central neurons, Ca 2+ -activated K + channels of intermediate conductance (KCa3.1) are believed to be restricted to peripheral neurons. We now report that cerebellar Purkinje cells express KCa3.1 channels, as evidenced through single-cell RT-PCR, immunocytochemistry, pharmacology, and single-channel recordings. Furthermore, KCa3.1 channels coimmunoprecipitate and interact with low voltage-activated Cav3.2 Ca 2+ channels at the nanodomain level to support a previously undescribed transient voltage-and Ca 2+ -dependent current. As a result, subthreshold parallel fiber excitatory postsynaptic potentials (EPSPs) activate Cav3 Ca 2+ influx to trigger a KCa3.1-mediated regulation of the EPSP and subsequent after-hyperpolarization. The Cav3-KCa3.1 complex provides powerful control over temporal summation of EPSPs, effectively suppressing low frequencies of parallel fiber input. KCa3.1 channels thus contribute to a high-pass filter that allows Purkinje cells to respond preferentially to high-frequency parallel fiber bursts characteristic of sensory input.C entral neurons receive an enormous number of spontaneously active synaptic inputs, but exhibit the capacity to differentiate features of sensory input from background noise. Cerebellar Purkinje cells are contacted by up to ∼150,000 parallel fibers from granule cells, of which only a subset will convey sensory information at any given time. The activation of a peripheral receptive field is transmitted to the cerebellar cortex by mossy fibers in the form of high-frequency spike bursts (1). The resulting temporal summation of excitatory postsynaptic potentials (EPSPs) generates a similar high-frequency burst in granule cells (2). Purkinje cells should then also possess the means to respond effectively to bursts of parallel fiber input that convey sensory information compared with background activity.Postsynaptic membrane excitability can be controlled by activation of K + channels. There are two established types of Ca 2+ -activated K + (KCa) channels in CNS neurons: small conductance (SK, KCa2.x) and big conductance (BK, KCa1.1) (3, 4). A third class of intermediate conductance (KCa3.1, SK4, IK1) KCa channel is thought to be expressed only in microglia and endothelial cells in the CNS (3, 5, 6). KCa3.1 channels are gated by calmodulin in a similar manner to KCa2.x channels but are insensitive to block by apamin and tetraethylammonium (TEA) (6-8). Instead, the KCa3.1 α-subunit, encoded by the gene KCNN4, has specific residues that bind charybdotoxin and 1-[(2-chlorophenyl) diphenylmethyl]-1H-pyrazole (TRAM-34) (5-7, 9, 10).In cerebellar Purkinje cells, KCa1.1 and KCa2.2 channels are activated during a spike by high voltage-activated (HVA) P-type Ca 2+ channels (11). In contrast, low voltage-activated (LVA) Cav3 (T-type) Ca 2+ channe...

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Non-technical summary The property of excitability is conferred to specific cell types through the action of a host of ion channels. Two classes of ion channels which play crucial roles in cellular excitability are T-type calcium and hyperpolarization-activated cyclic-nucleotide (HCN) channels. Given that T-type and HCN channel availability is increased upon hyperpolarization, T-type-and HCN-mediated currents are critical determinants of rebound depolarizations in many cell types. Rebound responses have long been documented in deep cerebellar nuclear (DCN) neurons; however, the extent to which T-type-and HCN-mediated currents contribute to rebound depolarizations following physiological input has not been established. Using a combination of in vitro electrophysiological and in silico techniques, we define the roles of T-type-and HCN-mediated currents in controlling the frequency and latency of DCN rebound spike output. Our study demonstrates that T-type and HCN channels become sufficiently available during physiological levels of hyperpolarization to make distinct contributions to the frequency and latency of rebound responses. AbstractThe ability for neurons to generate rebound bursts following inhibitory synaptic input relies on ion channels that respond in a unique fashion to hyperpolarization. Inward currents provided by T-type calcium channels (I T ) and hyperpolarization-activated HCN channels (I H ) increase in availability upon hyperpolarization, allowing for a rebound depolarization after a period of inhibition. Although rebound responses have long been recognized in deep cerebellar nuclear (DCN) neurons, the actual extent to which I T and I H contribute to rebound spike output following physiological levels of membrane hyperpolarization has not been clearly established. The current study used recordings and simulations of large diameter cells of the in vitro rat DCN slice preparation to define the roles for I T and I H in a rebound response. We find that physiological levels of hyperpolarization make only small proportions of the total I T and I H available, but that these are sufficient to make substantial contributions to a rebound response. At least 50% of the early phase of the rebound spike frequency increase is generated by an I T -mediated depolarization. An additional frequency increase is provided by I H in reducing the time constant and thus the extent of I T inactivation as the membrane returns from a hyperpolarized state to the resting level. An I H -mediated depolarization creates an inverse voltage-first spike latency relationship and produces a 35% increase in the precision of the first spike latency of a rebound. I T and I H can thus be activated by physiologically relevant stimuli and have distinct roles in the frequency, timing and precision of rebound responses.

Neurons of the deep cerebellar nuclei (DCN) play a critical role in defining the output of cerebellum in the course of encoding Purkinje cell inhibitory inputs. The earliest work performed with in vitro preparations established that DCN cells have the capacity to translate membrane hyperpolarizations into a rebound increase in firing frequency. The primary means of distinguishing between DCN neurons has been according to cell size and transmitter phenotype, but in some cases, differences in the firing properties of DCN cells maintained in vitro have been reported. In particular, it was shown that large diameter cells in the rat DCN exhibit two phenotypes of rebound discharge in vitro that may eventually help define their functional roles in cerebellar output. A transient burst and weak burst phenotype can be distinguished based on the frequency and pattern of rebound discharge immediately following a hyperpolarizing stimulus. Work to date indicates that the difference in excitability arises from at least the degree of activation of T-type Ca2+ current during the immediate phase of rebound firing and Ca2+-dependent K+ channels that underlie afterhyperpolarizations. Both phenotypes can be detected following stimulation of Purkinje cell inhibitory inputs under conditions that preserve resting membrane potential and natural ionic gradients. In this paper, we review the evidence supporting the existence of different rebound phenotypes in DCN cells and the ion channel expression patterns that underlie their generation.