| Voltage-gated K Channels - I Biophysical Journal, Volume 94, Issue , 1 February 2008, Pages 175-184 Full Text | PDF (125 kb) |
| It Takes Two to Tango, but Three to ISA Neuron, Volume 37, Issue 3, 6 February 2003, Pages 370-372 Paco S. Herson and John P. Adelman Summary Rapidly inactivating A-type potassium channels are important determinants of firing frequency in many excitable cells. Nadal et al. (in this issue of ) purified A-type potassium (I) channels from rat cerebellum and identified a novel β subunit. This protein, DPPX, associates with the pore-forming subunits and endows previously elusive kinetic properties on A-type channels formed from cloned subunits. Summary | Full Text | PDF (48 kb) |
| Two N-Terminal Domains of Kv4 K Channels Regulate Binding to and Modulation by KChIP1 Neuron, Volume 41, Issue 4, 19 February 2004, Pages 587-598 Robert H Scannevin, KeWei Wang, Flora Jow, Jennifer Megules, David C Kopsco, Wade Edris, Karen C Carroll, Qiang Lü, Weixin Xu, Zhangbao Xu, Alan H Katz, Stephane Olland, Laura Lin, Meggin Taylor, Mark Stahl, Karl Malakian, Will Somers, Lydia Mosyak, Mark R Bowlby, Pranab Chanda and Kenneth J Rhodes Summary The family of calcium binding proteins called KChIPs associates with Kv4 family K channels and modulates their biophysical properties. Here, using mutagenesis and X-ray crystallography, we explore the interaction between Kv4 subunits and KChIP1. Two regions in the Kv4.2 N terminus, residues 7–11 and 71–90, are necessary for KChIP1 modulation and interaction with Kv4.2. When inserted into the Kv1.2 N terminus, residues 71–90 of Kv4.2 are also sufficient to confer association with KChIP1. To provide a structural framework for these data, we solved the crystal structures of Kv4.3N and KChIP1 individually. Taken together with the mutagenesis data, the individual structures suggest that that the Kv4 N terminus is required for stable association with KChIP1, perhaps through a hydrophobic surface interaction, and that residues 71–90 in Kv4 subunits form a contact loop that mediates the specific association of KChIPs with Kv4 subunits. Summary | Full Text | PDF (591 kb) |
Copyright © 2008 The Biophysical Society. All rights reserved.
Biophysical Journal, Volume 94, Issue 4, 1241-1251, 15 February 2008
doi:10.1529/biophysj.107.117796
Channels, Receptors, and Electrical Signaling
Yu.A. Kaulin1, J.A. De Santiago-Castillo1, C.A. Rocha and M. Covarrubias
, 
Address reprint requests to M. Covarrubias, 1020 Locust St., JAH 245 Philadelphia, PA 19107. Tel.: 215-503-4341; Fax: 215-923-2218.Inactivation of voltage-gated ion channels is a time-dependent autoregulatory process that is essential to shape and orchestrate active electrical signaling in excitable tissues 1. The C-type mechanism is the most extensively studied mechanism of inactivation in voltage-gated K+ (Kv) channels within the Shaker Kv1 subfamily 2,3,4,5,6,7,8,9,10,11,12,13,14. It involves regions at the C-terminal side of the membrane-spanning core of the Kv channel, which includes the selectivity filter and the activation gate 2,4,15, and results from a cooperative local conformational change that constricts the external mouth of the selectivity filter 6,7,8,16,17,18,19. Given the central role of the narrow K+ pore in this mechanism, several studies have referred to it as P/C-type inactivation 10,13,20. Typically, the development of P/C-type inactivation in Kv1 channels is slowed by external pore blockers (TEA) and elevated external K+3,5,13,16,21; and the latter also accelerates the recovery from P/C-type inactivation 22,23. These hallmarks indicate that the regulation of P/C-type inactivation in Kv1 channels involves a “foot-in-the-door” mechanism at an external pore site and ion-ion interactions in the selectivity filter 4,23,24,25,26. In sharp contrast, inactivation of Kv4 channels is not affected by high concentrations of external TEA, and elevated external K+ accelerates the development of inactivation and has no effect on the recovery from inactivation 27,28, which supports the concept of an alternative mechanism of inactivation in non-Shaker Kv channels 13,29,30,31. Native Kv4 channels in hippocampal neurons exhibit similar regulation by external K+32. Although these observations are physiologically and mechanistically relevant, the underlying mechanism has been difficult to solve because fast N-type-like inactivation of Kv4 channels limits the resolution of the results and confounds their interpretation; and the kinetic analysis of Kv4 channel gating in previous studies has not been sufficiently constrained experimentally to derive a sound biophysical framework.
To gain firmer biophysical insights into the mechanism of slow Kv4 inactivation and its modulation by external K+, we investigated the heterologously expressed Kv4.x:KChIP-1 complex in the presence of normal or elevated external K+. KChIP-1 (K-channel-interacting-protein-1) is an accessory subunit that binds to the channel's N-terminus tightly and thereby remodels Kv4 inactivation gating 29,33,34. This physiologically relevant Kv4.x:KChIP-1 complex lacks a fast N-type-like mechanism of inactivation 35 because KChIP-1 sequesters the N-terminal inactivation gate constitutively 33,34,36; and therefore, the complexity of inactivation in the Kv4.x:KChIP-1 complex is reduced. By examining the macroscopic properties of the Kv4.3:KChIP-1 complex over a broad range of membrane potentials (∼200mV), we determined that elevated external K+ has multiple effects on voltage-dependent activation and inactivation. These effects appeared to be inconsistent with the P/C-type inactivation mechanism and the “foot-in-the door” paradigm; however, additional evidence showed that the modulation by external K+ involves a single external site in the channel's selectivity filter. Highly constrained global kinetic modeling applied to all macroscopic observations revealed a feasible explanation for this unusual behavior. Essentially, external K+ regulates the presence of unstable closed states outside the main voltage-dependent activation pathway. We discuss this simple outcome in terms of its physiological impact, the presence of vestigial P/C-type inactivation in Kv4 channels, and the concept of an alternative mechanism of closed-state inactivation (CSI), which may involve the channel's activation gate.
Kv4.3 complementary DNA (cDNA) was provided by Dr. J. Nerbonne (Washington University, St. Louis, MO) and was maintained in pBK-CMV (Strategene, La Jolla, CA). KChIP-1 cDNAs for oocyte and mammalian cell expression were provided by Dr. Mark Bowlby (Weyth-Ayerst Research, Princeton, NJ) and Dr. Paul J. Pfaffinger (Baylor College of Medicine, Houston, TX), respectively. The KChIP-1 cDNAs were maintained in pBJ/KSM (W. J. Joiner, Yale University) and pCMV (Henry Jerng, Baylor College of Medicine). Kv4.2 cDNA was provided by M. Sheng (Massachusetts Institute of Technology, Cambridge, MA) and maintained in pRc-CMV (Invitrogen, Carlsbad, CA). Capped cRNA for expression in Xenopus laevis oocytes was produced by in vitro transcription using the mMessage mMachine kit driven by T7 RNA polymerase (Ambion, Austin, TX). The transfection of tsA-201 cells (provided by Dr. R. Horn, Thomas Jefferson University, Philadelphia, PA) was accomplished by the calcium-phosphate method. Cells were cotransfected with the Kv4.2 and KChIP-1 plasmid DNAs at a 1:1 mass ratio. A plasmid containing the CD8 gene (5μg) was included in the cotransfection to allow the identification of individual transfected cells by decorating them with beads bearing anti-CD8 antibody (Dynal Biotech, Brown Deer, WI) 37.
The Kv4.3 and KChIP-1 cRNAs were microinjected into defolliculated X. laevis oocytes (∼50ng/cell) using a Nanoject microinjector (Drummond, Broomall, PA). The currents were recorded 1–3 days postinjection using either the two-electrode voltage-clamp technique or cell-attached configuration of the patch-clamp method. The bath/pipette solution (2mM K+; same as ND-96) contained (mM): 96 NaCl, 2 KCl, 1 MgCl2, 1.8 CaCl2, 5 HEPES (pH 7.4, adjusted with NaOH). For the 98mM-K+ bath solution, all NaCl was substituted with KCl. Kv4.2:KChIP-1 currents expressed in tsA-201 cells were measured in the tight-seal whole-cell configuration of the patch-clamp method with the following pipette (intracellular) solution: 120mM KF, 1mM CaCl2, 2mM MgCl2, 11mM EGTA, and 10mM HEPES, pH 7.2, adjusted with KOH; and the following external bath solution: 132mM NaCl, 2mM KCl, 1.5mM CaCl2, 1mM MgCl2, 20mM TEA (tetraethylammonium chloride), and 10mM HEPES, pH 7.4, adjusted with NaOH; for the 132mM-K+ bath solution all NaCl was substituted with KCl (pH 7.4, adjusted with KOH). The calculated free [Ca2+] and [Mg2+] in the intracellular solution were ∼40nM and ∼1.4mM, respectively (MaxChelator, ‘WEBMAXC v2.10’; http://www.stanford.edu/∼cpatton/maxc.html). In tsA-201 whole-cell recordings, TEA was necessary to eliminate a small but significant endogenous delayed rectifier K+ current. The experiment began once current kinetics and amplitude became stable. In the whole-cell recording configuration, series resistances (Rs=2–5MΩ) were compensated to yield a total voltage error of <3mV. A P/4 leak subtraction protocol consisting of four subpulses from a subsweep holding potential of −110mV was used to subtract passive components of the total current. Currents were filtered at 2kHz and sampled at 10kHz. Analyses and graphical displays were produced with pClamp 9.0 (Axon Instruments, Foster City, CA) and Origin 7.5 (OriginLab, Northhampton, MA) software. All measurements were taken at room temperature (22°C–24°C), and results are expressed as mean±SE.
To test specific Markov models of Kv channel gating quantitatively, we implemented a robust global kinetic modeling approach constrained simultaneously by several electrophysiological and kinetic measurements. The goal of this analysis is to determine a physiologically plausible kinetic model that quantitatively describes the time- and voltage-dependent macroscopic properties of the Kv4.3:KChIP-1 channel in the presence of 2 and 98mM external K+ over a 210-mV range of membrane potentials. The modeling employed a modified version of the program IChSim (www.ICHMASCOT.org). In this program, the characteristic differential equations of the models are solved by numerical integration and the “Q-Matrix” method 38,39. To conduct the quantitative global kinetic modeling, all macroscopic properties were evaluated simultaneously in terms of the voltage dependencies of peak conductance, steady-state inactivation, and the time constants of activation, deactivation, and inactivation. In general, the experimental time constants were obtained from exponential fits (see below); and the best-fit parameters were obtained from the minimization of the squared differences between the experimental observation and the model according to
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| Table 1 Rate constant estimates from global kinetic modeling |
| Rate constant* s−1 | 98mM KOUT Scheme IV | 2mM KOUT Scheme V | 2mM KOUT Scheme VI | Fold change IV vs. V | Fold change IV vs. VI | ||
|---|---|---|---|---|---|---|---|
| α(V=0) | 512 | 612 | 493 | −1.2 | 1 | ||
| β(V=0) | 37 | 37 | 34 | 1 | 1.1 | ||
| γ(V=0) | 3512 | 248 | 271 | 14 | 13 | ||
| δ(V=0) | 14.5 | 10 | 13.9 | 1.4 | 1 | ||
| ɛ(V=0) | 7567 | 14,622 | 14,783 | −1.9 | −1.9 | ||
| Φ(V=0) | 919 | 1356 | 658 | −1.5 | 1.4 | ||
| kci | 70 | 60 | 127 | 1.2 | −1.8 | ||
| kic | 0.045 | 0.043 | 0.041 | 1 | 1.1 | ||
| kxp | - | 2076 | 543 | - | - | ||
| kpx | - | 3000 | 800 | - | - | ||
| * Rate constants that control the voltage-dependent transitions (α, β, γ, δ, ɛ, and ϕ) are assumed to depend exponentially on membrane potential according to these relationships: α(V)=α(V=0)exp(zαeV/kT), β(V)=β(V=0)exp(zβeV/kT), γ (V)=γ (V=0)exp(zγeV/kT), δ (V)=δ (V=0)exp(zδeV/kT), ɛ (V)=ɛ (V=0)exp(zɛeV/kT), ϕ (V)=ϕ (V=0)exp(zϕeV/kT) where zα,zβ, zγ,zδ,zɛ, and zϕ are the corresponding equivalent electronic charges 0.72, −1.42, 0.5, −1.68, 0.051, and −0.084 e0, respectively, e is the electronic charge, V is the membrane potential, k is the Boltzmann constant, and T is the absolute temperature. All equivalent charges were estimated from modeling the 98K data set (Materials and Methods). The total gating charge per channel assumed in these models is 10.9 e0. The allosteric factors f and g were 0.17 and 5.1 in 2mM external K+; and 0.17 and 3.4 in 98mM external K+, respectively. Negative and positive fold-change values denote a decrease and increase in the corresponding parameter, respectively. |
To compare the best fits to different models (Table 2), we estimated the badness of fit, b, according to
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| Table 2 Best-fit model comparison (badness of fit) |
| Schemes | b98K* | b2K* | ||
|---|---|---|---|---|
| I | NC | NC | ||
| II | 0.84 | 1.56 | ||
| III | 0.84 | 1.29 | ||
| IV | 0.6 | 1.44 | ||
| V | 0.6 | 0.68 | ||
| VI | 0.6 | 0.62 | ||
| * NC=program did not converge. Badness of fit b was calculated as explained in Materials and Methods. Accordingly, the best global fit improves as b decreases. Schemes IV, V, and VI produced equivalent best-global fits for the 98K data set (b=0.6) because Schemes V and VI reduce to Scheme IV when the Ci state is virtually eliminated (Results; Figure 4 and Figure 5). |
The strength of our global kinetic modeling method rests on the simultaneous evaluation of multiple macroscopic measurements, which investigate activation, deactivation, and inactivation over a broad range of physiologically relevant membrane potentials. However, there is a potential limitation because it relies on approximating the kinetics as simple exponential relaxations (inactivation and deactivation) and fourth-order exponential relaxations (activation) to extract the observed time constants. Although for most of the membrane potential range these are excellent approximations (Supplementary Material, Figs. S1 and S2 ) at hyperpolarized voltages (−140 to −100mV) tail currents were best described by the sum of two exponentials. Thus, to include this voltage range in the modeling, we plotted the weighted mean time constant as an approximation of deactivation kinetics. Tail current description by assuming the sum of exponential terms suggests complexities that the examined models are not explicitly accounting for. For instance, the modeled open state may be an aggregate of distinct open states, which is consistent with the presence of subconducting states at the single-channel level in Kv4 channels 36. Keeping this limitation in mind, we will show that a reduced set of models can account for the overall effects of external K+ on deactivation and all other macroscopic properties combined.
To investigate the biophysical basis of the modulation of Kv4 channels by external K+, we examined the macroscopic voltage- and time-dependent properties of the heterologously expressed Kv4.3:KChIP-1 complex over a broad range of membrane potentials (∼200mV). Examining this binary complex was advantageous because it is physiologically relevant 29,41 and lacks fast N-type inactivation. The latter was especially important because it allowed us to focus on the slower inactivation process without kinetic interference, which may confound the interpretation of the data. Relative to a normal concentration (2mM), elevated external K+ (98mM) modulated activation, inactivation, and deactivation of the Kv4.3:KChIP-1 complex. As expected, bath exposure to 98mM K+ suppressed the peak current; however, this inhibition appeared to be significantly less than that predicted by the reduction in driving force (Figure 1A). Analysis of the peak chord-conductance-voltage relations (Gp-V curves) demonstrated that elevated external K+ increases the maximum Gp (Figure 1B), which suggests that Kv4.3 channels under normal ionic conditions operate at a submaximal open probability and that elevated external K+ increases the maximum open probability. In addition, consistent with a relative stabilization of the channel's open state and in agreement with the classical modulation of K+ channel gating by permeant ions 24,42, the Gp-V curve in the presence of 98mM external K+ was leftward shifted (−16mV; Figure 1BC). A particularly intriguing feature of the modulation was that elevated external K+ uniformly reduced the time constant of inactivation by approximately two- to threefold over a broad range of membrane potentials (−60 to +70mV; Figure 1D). This effect did not affect the voltage dependence of steady-state inactivation (Figure 1D) but is opposite to the classical predictions of a “foot-in-the-door” mechanism acting on the pore gate to regulate P/C-type inactivation, which is typically slowed by elevated external permeant ions 5. It is also significant that, between −120 and −70mV, the recovery from inactivation of the Kv4.3:KChIP-1 complex was not affected by elevated external K+ (Figure 1D; Supplementary Material, Fig. S2 ). Under similar conditions, recovery from P/C-type inactivation is typically accelerated through interactions in the selectivity filter of Shaker Kv1 channels 22,23. In addition, the Kv4.3:KChIP-1 complex exhibited accelerated deactivation in the presence of 98mM external K+ at hyperpolarized membrane potentials (−140 to −90mV; Figure 1E). Similarly, activation kinetics between −30 and +50mV is slightly faster (Figure 1E; Supplementary Material, Fig. S1 ). The acceleration of inactivation and deactivation of the Kv4.3:KChIP-1 channel complex by elevated external K+ is consistent with a previously reported kinetic relationship between these processes 27,43,44. More typically, however, elevated external concentrations of permeant ions slow deactivation of native and recombinant Kv channels at hyperpolarized membrane potentials 24,27,45.
Overall, this unusual modulation and similar observations reported previously 13,29,31 have suggested distinct and poorly understood mechanisms of inactivation that must exist in non-Shaker Kv channels. Ruling out that the observed modulation of inactivation resulted from the recording conditions or an active role of KChIP-1, we found qualitatively identical results in cell-attached macropatches or when the N-terminal-deleted Kv4.3 channel (Δ2–19Kv4.3) was expressed alone (Supplementary Material, Fig. S3 ; Fig. 2). Furthermore, other results showed that this modulation was not dependent on the expression system or the Kv4 channel isoform (see below). The observation of similar results in different recording configurations and expression systems that produce a broad range of current magnitudes (pA–μA) also rules out a significant impact of uncompensated series resistance on the reported results.
To test whether the effects described above are mediated by the binding of external K+ to the selectivity filter of the Kv4 channel, we examined the permeant ion and concentration dependencies of the acceleration of inactivation in the Kv4.2:KChIP-1 channel complex expressed in tsA-201 cells. According to typical permeability sequences of highly selective K+ channels 1, we found that highly permeant ions (K+ and Rb+) are similarly effective in accelerating the development of inactivation. Although
was also an effective modulator, other weakly permeant ions (Cs+ and Na+) have little or no effect on inactivation (Figure 3AB). That is, inactivation kinetics in the presence of Cs+ and Na+ are similar to those observed in 2mM external K+. Also, we found that the time constant of the development of inactivation depends on the concentration of external K+ in a manner that is consistent with the presence of a single external modulatory binding site (KD=8mM, nH=1; Figure 3C). Altogether, these observations suggest strongly that the channel's selectivity filter plays a central role in the modulation of inactivation of the Kv4.x:KChIP-1 complex by external K+.
Four salient features characterize the modulation of the Kv4:KChIP-1 complex by elevated external K+: 1), accelerated inactivation, 2), increased Gpmax, 3), a leftward-shifted Gp-V relation, and 4), accelerated activation and deactivation. This combination of effects is generally inconsistent with traditional predictions of the “foot-in-the-door” paradigm involving the selectivity filter and the gating machinery. At the same time, however, ion substitution experiments and the concentration-response relation suggest that an external K+ site in the selectivity filter contributes to the modulation. Therefore, to determine a viable solution that explains the unusual modulation of the Kv4:KChIP-1 complex by elevated external K+, the biophysical framework must account for pore interactions that either directly or indirectly may produce broad effects on activation and inactivation gating.
Previous studies have proposed CSI as a significant pathway of inactivation in Kv4 channels 27,36,43,44,46. However, the importance of this pathway in Kv4 channels has remained controversial 47,48. To reassess the mechanistic viability of CSI under more stringent conditions and explain gating modulation by external K+, we applied a quantitative global kinetic modeling approach to test physiologically plausible Markov models (Schemes I–VI; Figure 4 and Figure 5) constrained simultaneously by complete sets of macroscopic measurements encompassing time- and voltage-dependent gating over a broad range of membrane potentials (210mV; Fig. 1; Materials and Methods). First, we considered kinetic models proposed previously to explain Kv4 channel inactivation (Schemes I and II) 43,46,47 and applied them to the 98K data set. Scheme I was readily ruled out because it does not predict the bell-shaped voltage dependence of the time constants of inactivation (Supplementary Material, Fig. S4 ), a hallmark of our measurements (Figure 1D); and attempts to obtain a global fit with Scheme I did not converge (Table 2). Scheme II describes the overall features of the data qualitatively; however, the global best fit is relatively poor because it does not accurately describe the voltage dependencies of the time constants of activation, deactivation, and inactivation (Figure 6CD; Table 2). Thus, to account for the 98K data set more accurately and globally, we built Scheme IV (Fig. 5), which results from adding an inactivation-permissive preopen closed state (C5) to Scheme II (Fig. 5). Scheme IV encompasses two parallel pathways: 1), a sequential activation pathway (Ci) that includes strongly voltage-dependent activation (corresponding to a total charge movement of 8.6 e0) and two final weakly voltage-dependent transitions (corresponding to a total charge movement of 2.3 e0) leading to the opening of the channel; and 2), a CSI pathway (Ii) coupled to the Ci pathway by the allosteric factor (f). There is no open-state inactivation because KChIP-1 eliminates N-type-like inactivation in Kv4 channels (Introduction). The preopen closed state C5 has been proposed for Kv channels in previous studies 49,50. Scheme IV was sufficient to produce a significantly improved global best fit that accounts for the voltage dependencies of all time-dependent variables accurately (Fig. 6; Table 1,Table 2). Moreover, the highly constrained global fit demonstrates that CSI is sufficient to explain the gating of the Kv4.3:KChIP-1 complex.
Then, we turned to the 2K data set and determined that Scheme IV was insufficient to account for the results globally because it did not describe deactivation (Figure 7D) and inactivation kinetics at positive voltages (Figure 7C, inset; Table 2). A better solution hypothesized the presence of an unstable P/C-type inactivated state to explain the permeant ion and dose dependencies (Fig. 3). Scheme V, which results from simply adding a short-lived closed state coupled to the open state in Scheme IV (P6), is the explicit representation of this hypothesis. Assuming Scheme V, the global best fit for the 2K data set was excellent (Fig. 7; Table 1,Table 2). Therefore, elevated external K+ may simply eliminate the O→P6 transition through a “foot-in-the-door” mechanism that prevents a rapid but unstable pore collapse and thus stabilizes the open state. This explanation implies that the forward rate constant governing the O→P6 transition (kxp) decreases as the concentration of external K+ increases, which is in agreement with the gradual inverse relationship between the time constant of inactivation and the concentration of external K+ (Figure 3C). That is, to explain the K+-dependent modulation, Scheme V reduces to Scheme IV at saturating concentrations of external K+. Neither Scheme II nor Scheme II plus the P6 state (Scheme III) produced satisfactory global fits for the 2K data set (Fig. 4; Supplementary Material, Fig. 5S ; Table 2).
Due to the relatively complex gating and small unitary conductance of Kv4 channels, the demonstration of the short-lived closed state at the single-channel level is still lacking. However, further modeling showed an alternative solution, which explains the 2K data set without predicting rapid gating at the unitary level. This solution (Scheme VI, Fig. 5) is a variation of a coupled CSI kinetic model proposed by Klemic et al. and Kurata et al. 31,51. Essentially, to build Scheme VI, we added a parallel upper pathway of closed states (Pi) to Scheme IV. This modification assumes that channels may also undergo unstable P/C-type CSI from resting and activated states 52 and that the bottom inactivation pathway is responsible for most of the observable macroscopic inactivation. Importantly, it is critical to note that both Schemes V and VI result from adding the same pair of additional adjustable parameters to Scheme IV. The main difference between Schemes V and VI is that the latter allows the putative closing transition to occur from all states in the activation pathway. Therefore, the total number of states increases, but the number of adjustable parameters remains the same. Scheme VI yielded an excellent global best fit that accounts for the 2K data set (Fig. 7; Table 1,Table 2). The successful application of Schemes IV, V, and VI to describe the electrophysiological properties of the Kv4.3:KChIP-1 complex and its modulation by K+ explains how the elevation in the external [K+] ultimately accelerates macroscopic inactivation. Basically, the rate constant kxp slows dramatically by saturating an external K+ site in the pore. Therefore, the relatively unstable Pi states are virtually eliminated and the Pomax increases. The latter increases the effective closing rate and the occupancy of the preopen inactivation-permissive state C5 before significant inactivation begins to develop. The increase in the C5 probability is directly responsible for the observed acceleration of inactivation. Note that except for the elimination of the Pi state(s) and a 14-fold increase in the preopening rate constant γ, most adjustable parameters did not change or changed less than twofold when comparing the outcomes of the 2K and 98K best global fits (Table 1). Overall, these analyses strongly support the prominent role of CSI in Kv4 channels and suggest a sound mechanistic working hypothesis that explains the modulation of the Kv4.3:KChIP-1 complex by external K+.
To our knowledge, this study is the first attempt to apply highly constrained global kinetic analysis to investigate the gating of Kv4 channels and provide a sound biophysical framework that explains inactivation and the modulation of these channels by external K+. The systematic kinetic analysis of the Kv4:KChIP-1 complex lead to a reduced set of plausible gating models (6T Models, Fig. 5) that can describe macroscopic gating quantitatively over a 210mV range of membrane potentials and under two different ionic conditions (2 and 98mM external K+). Although the badness of the fit was slightly smaller for Scheme VI relative to Scheme V (Table 2), the available macroscopic data sets did not allow a conclusive discrimination between these models. This outcome is expected because both schemes similarly assume the presence of an unstable closed state or a set of unstable closed states outside the main activation pathway. Furthermore, this presence depends on the concentration of external K+ in both schemes. The unanswered questions concern the determination of the most likely pathway: is it a short-lived closed state linked to the open state only; or is it a parallel pathway of unstable closed states originating from all states in the activation pathway? Kinetic analysis of single-channel recordings outside the scope of this study would help to answer these questions. Regardless of the exact pathway and from a molecular perspective, we hypothesize that these unstable closed states correspond to vestigial P/C-type inactivation in Kv4 channels because elevating the concentration of external K+ suppresses a putative pore collapse as predicted by the “foot-in-the-door” paradigm. Conversely, the pore collapse would become more favorable when the external K+ is nominally reduced to zero, as shown by others 53. The low kinetic stability of the pore collapse may result from overall high structural stability of the Kv4 selectivity filter, which makes it resistant to P/C-type inactivation. Indeed, several residues that may increase the structural stability of the conducting selectivity filter and oppose P/C-type inactivation in Kv1 channels 5,13,18,25 are found naturally at critical highly conserved positions in regions encompassing the pore loop and the S6 segment of Kv4 channels. For instance, Lys, Tyr, Val, and Ser in Kv4 channels occupy positions equivalent to Ala419, Trp435, Thr449, and Ala463 in the Shaker-B Kv channel, respectively 13,14,29. Also, charged and polar residues (Lys, Ser, or Glu) are found in Kv4 channels at a position normally occupied by Val451 in the Shaker-B Kv channel 14.
If the pore collapse underlying the P/C-type mechanism is not stable, how do Kv4:KChIP-1 channels ultimately inactivate so effectively? Distinct slow inactivation phenotypes in Kv channels may result from the way the voltage sensors (VS) communicate with two distinct gates: the external pore gate involving the selectivity filter and the internal activation gate involving the S6 “bundle crossing” (P-gate and A-gate, respectively). If the VS interacts with a P-gate that readily adopts a stable collapsed conformation, it promotes and slowly stabilizes P/C-type inactivated states as found in Shaker-B Kv channels 10,14,19. The latter arises from slow gating charge “immobilization” 10,11,13,14,19. Kv4 channels also undergo profound slow gating charge “immobilization” at hyperpolarized membrane potentials (K. Dougherty, J. A. De Santiago-Castillo, and M. Covarrubias, unpublished results); and yet, the results of this study do not support a major contribution of a P/C-type mechanism to Kv4 channel inactivation. Thus, if the Kv4 P-gate is resistant to collapse (see above) and weakly coupled to the VS, the selectivity filter may spontaneously fluctuate between the collapsed and conducting conformations, and slow VS “immobilization” would not stabilize the collapsed selectivity filter and may in fact stabilize its conducting conformation 54. Conceivably, CSI of Kv4 channels may then result from a conformational change at the A-gate 55. Although the presence of such a conformational change and its mechanism remain to be investigated, it may also explain the so-called “U-type” inactivation in other Kv channels 13,30,31 and an apparent mutually exclusive interaction between slow inactivation and fast N-type-like inactivation in Kv4 channels, which is relieved by KChIP-1 or deletion of the N-terminus 36,46. Whether the collapse of the P-gate and the putative closed-inactivated conformation of the A-gate can coexist is uncertain; however, such an assumption is not necessary to explain the observations reported here.
Shedding light on the mechanisms of inactivation and modulation of Kv4 channels by external K+ is physiologically relevant because ischemia and renal dysfunction may induce hyperkalemia that is in the range of the apparent KD of the modulatory site 56; and this hyperkalemia may trigger cardiac arrhythmias 57. Furthermore, external K+ also accelerates inactivation of the hippocampal somatodendritic A-type K+ current with an apparent affinity of ∼10mM 32; and most likely, this current is mediated by a Kv4 channel complex, which is associated with long-term potentiation 29,58,59,60.
We are grateful to Drs. Carol Deutsch, Richard Horn, and Toshinori Hoshi for their critical reading of the manuscript. Also, we thank Mr. Aditya Bhattacharji and Mr. Benjamin Kaplan for their skillful technical help with Xenopus oocyte experiments and the rest of the Covarrubias lab for constructive feedback.
This work was supported by National Institutes of Health research grant R01 NS032337.
To view all of the supplemental files associated with this article, visit www.biophysj.org.
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