Abstract
The Kv2.1 voltage-activated potassium (Kv) channel is a prominent delayed-rectifier Kv channel in the mammalian central nervous system, where its mechanisms of activation and inactivation are critical for regulating intrinsic neuronal excitability1,2. Here we present structures of the Kv2.1 channel in a lipid environment using cryo-electron microscopy to provide a framework for exploring its functional mechanisms and how mutations causing epileptic encephalopathies3–7 alter channel activity. By studying a series of disease-causing mutations, we identified one that illuminates a hydrophobic coupling nexus near the internal end of the pore that is critical for inactivation. Both functional and structural studies reveal that inactivation in Kv2.1 results from dynamic alterations in electromechanical coupling to reposition pore-lining S6 helices and close the internal pore. Consideration of these findings along with available structures for other Kv channels, as well as voltage-activated sodium and calcium channels, suggests that related mechanisms of inactivation are conserved in voltage-activated cation channels and likely to be engaged by widely used therapeutics to achieve state-dependent regulation of channel activity.
Subject terms: Cryoelectron microscopy, Ion channels in the nervous system
The exploration of voltage-gated potassium channels using cryo-electron microscopy and electrophysiology identifies a mechanism of inactivation involved in regulating neuron firing.
Main
Voltage-activated potassium (Kv) channels are critical for many physiological processes, including electrical signalling in neurons and muscle, neurotransmitter and hormone secretion, cell proliferation and migration, and ion homeostasis8. Kv channels are the largest family of ion channels in the human genome, with 40 members in 12 subfamilies identified following the cloning of the original Shaker (Kv1), Shab (Kv2), Shaw (Kv3) and Shal (Kv4) channels from Drosophila melanogaster8. Landmark structures of the Kv1 subfamily revealed a domain-swapped architecture between the peripheral S1–S4 voltage-sensing domains (VSD) and the S5–S6 segments that form the central pore domain (PD)9–11, a feature also seen in structures of Kv3 (ref. 12) and Kv4 (ref. 13) channels, as well as in the related voltage-activated Na+ (Nav)14 and Ca2+ (Cav)15 channels. In these domain-swapped channels, the S4–S5 linker helices form a cuff around the PD, coupling movements of the positively charged S4 helix within each VSD to the opening of the internal S6 gate within the PD9,10,16. In response to sustained membrane depolarization, Kv channels inactivate, decreasing the flow of ions and influencing their contributions to electrical signalling and thus constituting a form of short-term memory17,18. Amongst Kv1 channels, inactivation can be fast (N-type in Shaker) and mediated by N-terminal domains that block the internal pore19, or it can be slow (C-type in Shaker)20 and caused by the dilation of the ion selectivity filter within the external pore to diminish ion permeation11.
Hodgkin and Huxley were the first to measure delayed-rectifier K+ currents in the squid giant axon, and to demonstrate their critical role in action potential repolarization21. Although the Kv2.1 channel22 is a prominent delayed-rectifier Kv channel in mammalian neurons23, surprisingly it remains the only functional Kv channel for which no structures have yet been reported. Two distinguishing features of the mammalian Kv2.1 channel are its delayed rectification and slow inactivation22,24. Slow inactivation in Kv2.1 can occur from both open and closed states, and recovery from inactivation is strongly voltage-dependent24, yet its molecular mechanism remains elusive. Kv2.1 is widely expressed in pyramidal neurons in the cortex and hippocampus, where it has essential roles in regulating action potential shape, firing frequency and somatodendritic excitability1,2. Kv2.1 is also expressed in beta cells of the pancreas, where it regulates insulin secretion25. Mice in which Kv2.1 has been knocked-out are epileptic, hyperactive and have defects in spatial learning26. In humans, dominant mutations in Kv2.1 cause epileptic encephalopathy, characterized by developmental delays and epilepsy3–7. How these mutations alter the functional properties of Kv2.1 has been studied in only a few instances3,4, and the lack of structures of Kv2.1 has limited our understanding of how they alter the functional mechanisms of the channel.
In the present study we report structures of the Kv2.1 channel in the membrane-like environment and investigate mutations causing epileptic encephalopathy in humans. One of these mutations within the internal S6 helix led to the identification of a previously unappreciated nexus of hydrophobic residues that is critical for inactivation and strategically positioned to be involved in coupling movements of the VSD to opening of the pore. Further functional and structural investigation of this ‘hydrophobic coupling nexus’ supports a mechanism of inactivation that results from dynamic alterations in electromechanical coupling between the voltage sensors and the pore, leading to the closure of the internal pore. The hydrophobic coupling nexus described here is conserved in Kv, Cav and Nav channels, suggesting that this mechanism of inactivation is likely to be common to other voltage-activated cation channels.
Kv2.1 structure in lipid nanodiscs
We expressed mVenus-tagged rat Kv2.1 channels containing residues 1–598—a minimum Kv2.1 construct displaying functional properties similar to the full-length protein (Fig. 1a and b)—in mammalian cells, reconstituted the protein into lipid nanodiscs (Extended Data Fig. 1a–d) and solved the structure using cryogenic-electron microscopy (cryo-EM) (Extended Data Fig. 1e–h and Supplementary Fig. 1). We solved the structure of the transmembrane (TM) regions of Kv2.1 without modelling the intracellular domains containing the N and C termini because the resolution in these regions was limited. The overall resolution of the Kv2.1 TM regions was 2.95 Å, and the maps were relatively uniform and high quality throughout, with discernable density for most side chains within the TM region, enabling model building excluding residues in the S1–S2 and S3–S4 loops (Extended Data Fig. 1h and Extended Data Table 1).
Extended Data Table 1.
The structure of Kv2.1 resembles those solved previously for other Kv channels10–13 even though the sequence of these channels varies considerably. As seen before, each subunit in the tetrameric Kv2.1 channel is composed of TM helices (S1–S6) (Fig. 1c,d), with the S1–S4 helices from each subunit forming individual VSDs and the tetrameric arrangement of S5–S6 helices forming the central PD. As in the Kv1 channel structures10,11, Kv2.1 displays a domain-swapped architecture with the S1–S4 VSDs positioned near the S5–S6 pore-forming helices of the adjacent subunit (Fig. 1c,d). The structure of the Kv2.1 solved in lipid nanodiscs exhibits extra densities corresponding to multiple phospholipid molecules that appear to be bound to the protein (Fig. 1c,d) similar to those seen in Kv1 and Shaker Kv channels10,11.
Voltage-sensing domains
Basic residues in the S4 helices of Kv channels sense voltage by moving outward in response to membrane depolarization as the inner side of the membrane becomes less negative and inward upon repolarization as the inside becomes more negative27. The outward movement of S4 can be measured as an ON gating current, whereas the inward movement of S4 can be measured as an OFF gating current27. Three residues in Kv2.1 (F236 and E239 in S2 and D262 in S3) are positioned similarly to the charge transfer centre described in Kv1 channels28, a region within the VSD that stabilizes the S4 basic residues within the membrane (Extended Data Fig. 2a). The S4 helix of Kv2.1 contains five basic residues within the membrane-spanning portion of the helix (Extended Data Fig. 2a). Three of these (R296, R299 and R302) are positioned external to the charge transfer centre with K305 and the innermost R308 near the charge transfer centre (Extended Data Fig. 2a). The accessibility of most of these basic residues to the external solution, together with the observation that most of the gating charges have moved on depolarization to 0 mV29 (Fig. 2d,e), suggests that the VSDs of Kv2.1 have been captured in an activated state.
Although no structures have been solved for domain-swapped Kv channels with the VSDs in a resting state, a key constraint on the extent of the S4 movement in Shaker Kv channels comes from disulfide bonds or Cd2+ bridges that trap the VSDs in the resting state when Cys residues are introduced at the external end of S4 and near the middle of S1 or S2 (ref. 30). To explore whether the S4 helix of Kv2.1 moves to a similar extent as in Shaker, we introduced the equivalent Cys substitutions into S4 and S1 of Kv2.1 (Extended Data Fig. 3a) and explored whether disulfide or Cd2+ bridges could form. Cells expressing the double Cys mutant exhibited voltage-activated currents that increased following treatment with the reducing agent dithiothreitol (DTT) and could be inhibited by treatment with the oxidizing agent Cu-Phenanthroline (Cu-Phe) (Extended Data Fig. 3b,c), suggesting that disulfide bonds formed spontaneously, and could be broken with DTT. Following reduction with DTT, the double Cys mutant could be inhibited by Cd2+, suggesting that metal bridges could form between the introduced Cys residues (Extended Data Fig. 3d,e). We also found that the introduction of a single Cys in S4 was able to form disulfide or Cd2+ bridges with a native Cys in S2 (C232) positioned nearby to where we introduced a Cys in S1 (Extended Data Fig. 3f–m). Inspired by these results, we attempted to solve structures of the Cys mutants following treatment with Cu-Phe, Cd2+ or Hg2+. Although both constructs were successfully purified to homogeneity and reconstituted in nanodisc, imaged particles after treatment with Cu-Phe or metals did not show promising features in two dimensional (2D) class averages. Nevertheless, these findings suggest that the S4 helices in Kv2.1 move similar distances when compared to the Shaker Kv channel.
Pore domain
Within the external pore where the ion selectivity filter resides, backbone carbonyl oxygens line the ion permeation pathway and are positioned similarly to what has been seen in other K+ channels10,11,31 (Fig. 1e). There are also strong EM densities at four positions within the filter along the central axis (Fig. 1e), suggesting that the filter is occupied by ions at the four sites originally identified in a prokaryotic K+ channel31, and probably represents a conducting conformation. Inspection of HOLE diagrams for the permeation pathway of Kv2.1 indicates that the internal pore of the channel is dilated to a similar extent as Kv1 channels captured in an open state10 (Extended Data Fig. 2b). The external vestibule of the pore in Kv2.1 is unique among K+ channels in that it contains many basic residues (Fig. 1f and Extended Data Fig. 2c), explaining the insensitivity for Kv2.1 to cationic pore-blocking scorpion toxins32.
Epileptic encephalopathy mutations in Kv2.1
In humans, missense mutations in Kv2.1 cause epileptic encephalopathy, a disorder characterized by developmental delays in the first year of life preceding the onset of epileptic seizures3–7. Previous studies with four epileptic encephalopathy mutations within the PD of Kv2.1 revealed that the channel remains voltage-activated in one instance but loses K+ selectivity3, whereas three other mutations appear to be non-functional4. To advance further study of the mechanisms of pathogenesis, we investigated the functional properties of 15 mutations causing epileptic encephalopathy at positions resolved in our structure of Kv2.1 (Fig. 2a,b and Extended Data Fig. 2d). We could not see functional activity for seven mutants located within the PD near the ion selectivity filter (S343R, T370I, G375R, G377R and P381T) or in the pore-lining S6 helix (C393F and G397R) (Extended Data Fig. 2d). That these mutations cause a marked loss-of-function can be rationalized because each introduces radical alterations in regions critical for ion permeation and produce the most severe disease7. Seven other mutations were functional with voltage-activation relationships shifted to negative voltages, indicating a gain-of-function, or to positive voltages, indicating a loss-of-function (Fig. 2b, Extended Data Fig. 2e and Supplementary Table 1). Among all the mutations tested, the F412L mutation (Fig. 2c) was particularly notable because it failed to conduct K+ over the wide range of voltages investigated regardless of the concentration of external K+ used. However, in this mutant we could measure robust gating currents resulting from the movement of charged S4 helix as it moves across the membrane electric field, including ON gating currents upon depolarization and OFF gating currents upon repolarization (Fig. 2d,e and Extended Data Fig. 2f,g). Although each of these epileptic encephalopathy mutations are intriguing, we were inspired to study the F412L mutant in greater detail because its non-conducting phenotype is reminiscent of a mutation in the Shaker Kv channel33 that enabled the mechanism of slow C-type inactivation to be elucidated11.
A hydrophobic coupling nexus involved in inactivation
In the structure of Kv2.1, F412 is located at the internal end of the S6 helix and projects away from the ion permeation pathway towards the peripheral S1–S4 VSD, where it forms a nexus with interacting hydrophobic residues that includes L316 in the S4–S5 linker of the same subunit, as well as L329 and L403 in the S5 and S6 helices, respectively, of the neighbouring subunit (Fig. 3a). Previous structural and functional studies of domain-swapped Kv1 channels9,10,16,34 support the concept that the S4–S5 linker helix—which connects the S1–S4 VSDs to the PD—and how this helix packs together with the intracellular extension of the S6 helix, are critical for electromechanical coupling, wherein movements of the S4 can drive opening and closing of the internal pore. In Kv2.1, the hydrophobic interactions within the nexus involving F412 appear to be strategically positioned to couple movement of an individual S4 helix and S4–S5 linker to those of two pore-lining S6 helices (Fig. 3a) and therefore to contribute to the concerted final opening transition35–37.
To explore the mechanism underlying the non-conducting phenotype for F412L and the role of this hydrophobic coupling nexus, we mutated the three interacting Leu residues and characterized their functional properties. The phenotype observed for the L329A mutation was similar to F412L in that we observed only small ionic currents along with measurable gating currents (Fig. 3b). Unexpectedly, both L316A in the S4–S5 linker and L403A in S6 remained conducting, yet with markedly accelerated inactivation (Fig. 3b,d,e). Both mutants speed the onset of inactivation, increase the extent of inactivation at steady-state and alter the voltage range over which steady-state inactivation occurs (Fig. 3d,e,f). The L316A mutation did not appreciably alter the voltage-activation relationship, suggesting a specific effect on inactivation, whereas L403A also produced a shift to more positive voltages (Fig. 3c). Consideration of these findings led us to hypothesize that the hydrophobic coupling nexus involving F412 is involved in coupling movements of S4 to opening and closing of the S6 gate, and that inactivation in Kv2.1 may result from alterations in coupling of the voltage sensor and gate, leading to closure of the internal pore even though the voltage sensors remain activated.
The non-conducting phenotype we observed in the F412L mutant in Kv2.1 is reminiscent of that observed for the W434F mutant of Shaker, which is non-conducting because the mutant strongly promotes C-type inactivation11,33,38. In structures of Shaker, W434 hydrogen bonds with D447 to stabilize a conducting state, and this interaction is broken in the W434F mutant11,38. Residues equivalent to W434 and D447 are conserved in Kv2.1 (W365 and D378) and our structure of the conducting state of Kv2.1 suggests that they probably form a hydrogen bond (Extended Data Fig. 4a). To test whether inactivation in Kv2.1 is related to C-type inactivation in Shaker, we made the W365F mutation in Kv2.1 and observed that the mutant remains conducting (Fig. 4a) and notably inactivates more slowly and less completely than the WT channel, regardless of the concentration of external K+ (Extended Data Fig. 4b,c), suggesting that inactivation in Kv2.1 is probably distinct from C-type inactivation in Shaker. Other mutations that strongly influence C-type inactivation in Shaker have also been reported to not influence inactivation in Kv2.1 (ref. 39).
We next asked whether the intracellular S6 gate can open in F412L. In the non-conducting Shaker W434F mutant, movement of the intracellular gate can be detected using internal tetraethylammonium (TEA), which only enters the pore once the gate has opened upon depolarization and then slows closure of the gate and OFF gating currents upon repolarization (Fig. 4b,c)40. Although internal TEA slows deactivation of WT Kv2.1 (Extended Data Fig. 4d,e), it has no discernible effect on the similar OFF gating currents measured in F412L (Fig. 4b,c), suggesting that the internal pore of F412L remains closed to the blocker. As a control we tested whether internal TEA could slow gating currents of the L329A mutant that displays both gating and ionic currents, the latter of which suggests that the gate can open to some extent. In the case of L329A, internal TEA inhibited the ionic currents and slowed OFF gating currents elicited by stepping from positive to negative voltage near the equilibrium potential for K+ (Extended Data Fig. 4f,g), suggesting detectable opening of the S6 gate in that mutant. From these results we conclude that F412L is non-conducting because the internal S6 gate is closed.
We next sought to establish a link between the non-conducting phenotype of F412L and the enhanced inactivation seen in mutations of the Leu residues in the hydrophobic coupling nexus. First, we reasoned that if F412L is non-conducting because it greatly speeds entry into an inactivated state, heteromeric channels comprised of WT and F412L might remain conducting but with more rapid inactivation, as previously observed for the W434F mutation in the Shaker Kv channel33. Indeed, when F412L is co-expressed along with the WT Kv2.1 channel we can readily detect a fraction of channels that inactivate considerably faster than the WT channel (Fig. 4d,e and Extended Data Fig. 4h–m), consistent with the dominant phenotype of the F412L mutation in humans7. Second, we used a pharmacological approach with the Kv channel inhibitor 4-aminopyridine (4-AP), which interferes with both opening and inactivation41. Critical determinants for 4-AP sensitivity are located with internal regions of the S6 helix42–45 near the hydrophobic coupling nexus. When applied to Kv2.1, 4-AP partially inhibits channel currents, slowing activation and shifting the voltage-activation relationship to more positive voltages (Extended Data Fig. 5a–c), consistent with stabilization of a closed state. Importantly, 4-AP also interferes with inactivation of Kv2.1, slowing the onset of inactivation and diminishing the extent of inactivation at steady-state (Extended Data Fig. 5d–f). In the case of L316A, 4-AP slowed the onset and decreased the extent of inactivation (Extended Data Fig. 5g–i). In the case of L403A, the extent of inactivation was markedly reduced by 4-AP even though a fraction of channels inactivated with similar kinetics to that observed in control solutions (Extended Data Fig. 5j–l), presumably because this mutant weakens 4-AP binding45 and these channels are not fully occupied by 4-AP at the concentration tested. Collectively, these results suggest that 4-AP similarly interferes with inactivation for the WT and Leu mutant channels. As a final test for whether the non-conducting phenotype observed in F412L is related to inactivation, we investigated the effects of 4-AP on F412L and observed that the compound actually rescued ion conduction, and that this notable effect was reversible after removal of 4-AP (Fig. 4f,g). Taken together, these findings support the hypothesis that the hydrophobic nexus has a critical role in inactivation in Kv2.1 and that the mechanism of inactivation involves an alteration in the coupling between the voltage sensors and the pore, leading to closure of the internal pore.
Structure of the rapidly inactivating L403A mutant
To understand the structural basis of Kv2.1 inactivation involving closure of the internal pore, we attempted to solve the structure of the F412L mutant; however, collected cryo-EM images of the mutant showed no 2D classes with features of the Kv2.1 channel. We then pivoted toward the L403A mutant that promotes inactivation. The L403A mutant behaved better biochemically (Extended Data Fig. 1i) and the functional properties of the mutant in the Kv2.1(1–598) structural construct were similar to those in the full-length channel (Fig. 5a,b). We were able to collect a large dataset where about 80% of particles were classified to the activated-open state, while about 20% adopted a unique conformation where the internal pore appeared closed in two of the three dimensional (3D) classes (Supplementary Fig. 2). Refinement of one of these 3D classes with a closed pore using C1 symmetry resulted in a cryo-EM map with an overall resolution of 3.3 Å, from which we built a model for TM regions of the tetrameric channel (Fig. 5c and Extended Data Fig. 1j–m).
The structure of the individual VSDs and the ion selectivity filter in the L403A structure are indistinguishable from the structure of Kv2.1 that has activated voltage sensors and a conducting ion selectivity filter (Fig. 5c,d and Extended Data Fig. 6a,b). However, elsewhere the four subunits do not adopt the same conformation, most notably in the internal regions of the pore, including the S4–S5 linkers and S6 helices (Fig. 5e–h and Extended Data Fig. 6a,b). For the subunit exhibiting a conformation differing the most from the open state, which we will refer to as the most inactivated protomer (chain D), there are three important features of the S6 helix that are distinct from the open state. First, the kink observed at the conserved PXP motif (PIP, 404–406) in the open state is straightened in L403A as the S6 helix in this region bulges similar to a π-helix (407–411) and translates towards the central axis of the pore by about 5 Å, with the internal end of the S6 helix translating by 8 Å (Fig. 5e,g,h). Second, the structural change within the PXP motif involves a rotation of the S6 helix by about 45° that repositions I401 and I405 from interacting with the neighbouring helices to lining the ion permeation pathway, occluding the pore (Fig. 5g,j and Extended Data Fig. 6c,d). Third, although the interactions between the S4–S5 linker and S6 are notably similar between the open state and the most inactivated protomer, as S6 changes conformation the S4–S5 linker translates towards the central axis of the pore by about 2.5 Å (Fig. 5e). The structural change seen in this subunit disrupts the interactions with F412 and each of the Leu residues in the hydrophobic coupling nexus as F412 moves by about 3 Å away from the positions the Leu residues occupy in the open state structure (Fig. 5f). The neighbouring protomer (chain C) adopts a unique conformation in the L403A mutant that appears to be intermediate between the open state and the most inactivated protomer D, while the other two protomers are most similar to the open state (Fig. 5f,g and Extended Data Fig. 6a). That only two promoters in the L403A structure show an appreciable structural change while all four subunits contain the mutation suggests that the mutation alters the energetics of inactivation rather than producing a non-native structural change. Although it is possible that additional subunits may adopt conformations like the most inactivated protomer, we note that models containing all four subunits in that conformation contains multiple side chain clashes (Extended Data Fig. 6e–h), suggesting either that this is unlikely or that compensatory structural changes must occur. Taken together, these findings suggest that the hydrophobic coupling nexus has a central role in Kv2.1 inactivation and that this mechanism results from structural changes in the internal end of the S6 helix and the S4–S5 linker that close the internal end of the pore.
Discussion
The structure of the Kv2.1 and the hydrophobic coupling nexus highlighted by the F412L epileptic encephalopathy mutation have fundamental implications for understanding the gating mechanisms of this family of Kv channels, as well as other voltage-activated ion channels. Our findings establish that interactions in the hydrophobic coupling nexus are dynamic and that alterations in those interactions leads to the closure of the internal pore during inactivation. This mechanism of inactivation is distinct from those previously elucidated in the Shaker Kv channel, which include rapid N-type inactivation19 and slow C-type inactivation11,20. The structures of Kv2.1 and the L403A mutant illuminate how the pore-lining S6 helix changes conformation from a conducting to a non-conducting inactivated state while the VSDs are activated. We envision that a related inactivated conformation of the pore also exists when the voltage sensors occupy resting or intermediate states because Kv2.1 can inactivate from closed states and recovery from inactivation is hastened by hyperpolarization24. We imagine that return of the VSDs to a resting state would enable the reengagement of the hydrophobic coupling nexus, allowing recovery from inactivation and fully engaging electromechanical coupling so that subsequent membrane depolarization can open the channel. Although we see no evidence that the ion selectivity filter is directly involved in inactivation of the internal pore in Kv2.1 (Figs. 1, 4 and 5 and Extended Data Figs. 4 and 6), there is evidence that these two regions of the channel are coupled. For example, the T373A mutation at the base of the filter alters slow inactivation in Kv2.1 (ref. 46) and when combined with the rapidly inactivating L403A mutant, we observe much slower inactivation (Extended Data Fig. 7a–c). It is therefore likely that the filter and internal inactivation gate are coupled, conceivably through a network of interacting residues connecting these two regions (Extended Data Fig. 7d). In the future it will be fascinating to explore how the voltage sensors influence inactivation and how the ion selectivity filter and the internal inactivation gate are coupled.
The mechanism of inactivation we describe for Kv2.1 is likely to operate in other types of voltage-activated cation channels. Alignment of our Kv2.1 structures with those available for Kv, Nav and Cav channels reveals that residues in the hydrophobic coupling nexus are relatively well-conserved in all three families (Supplementary Fig. 3), in particular when we consider how residues in the nexus defined here interact with a much more extensive network of hydrophobic residues within S6, the S4–S5 linker and S5 (Extended Data Fig. 8a,b). Residues in the hydrophobic coupling nexus of Kv2.1 are fully conserved in open state structures of Kv1, Kv3 and Kv4 channels (Extended Data Figs. 8c–f and 9a), and mutation of key residues involved in inactivation of Kv2.1 cause similar alterations in the Shaker Kv channel40,47. Closure of the internal pore during closed state inactivation of Kv4 channels has been proposed48,49, and a recent study on Kv4.2 channels identified distinct populations of channels with VSDs in an activated conformation and the internal pore closed13 (Extended Data Fig. 9). Although the structural changes we observe in the S4–S5 linker and S6 helix are distinct from those where the internal pore is closed in Kv4.2 (Extended Data Fig. 9), the interactions we see between residues in the hydrophobic coupling nexus of Kv2.1 are conserved in the open state of Kv4.2, they rearrange as the internal pore adopts non-conducting conformations (Extended Data Fig. 9) and mutations in the hydrophobic coupling nexus in Kv4 channels influence inactivation49. Thus, our findings in Kv2.1 support the proposal that inactivation in Kv4 channels involves closure of the internal pore and motivates further work to explore the role of this inactivation mechanism in other Kv channels.
Our findings also provide insight into the long-sought mechanism of fast inactivation in Nav channels, which was envisioned to occur through a classical ball-and-chain mechanism50. The critical isoleucine, phenylalanine and methionine (IFM) motif within the linker between domains III and IV proposed to function as a blocking particle in Nav channels51 was recently resolved in structures of Nav1.4 and shown to be positioned peripheral to the internal pore14, challenging the ball-and-chain mechanism. Structural alignment reveals that the IFM motif actually inserts directly into the equivalent of the hydrophobic coupling nexus located at the interface between domains III and IV (Extended Data Fig. 10a,c) and would necessarily disrupt the interactions we see in the open state of Kv2.1. The conformations of the S4–S5 linker and S6 helices in inactivated states of Nav channels are also similar to what we see in the L403A mutant of Kv2.1 (Extended Data Fig. 10c,d). Domain IV of the Nav channels has a critical role in fast inactivation52–54, which can be rationalized because the IFM motif inserts into the hydrophobic coupling nexus between domains III and IV. Involvement of the hydrophobic coupling nexus between domains IV and I in fast inactivation could also explain how the non-inactivating WCW mutant within domain I in Nav1.4 channels interferes with inactivation55, as this mutant involves residues equivalent to the hydrophobic coupling nexus between domains I and IV (Extended Data Fig. 10b,d). A role of the hydrophobic coupling nexus between domains IV and I can also explain how mutations in the S4–S5 linker from domain IV interfere with inactivation56 even though this helix is positioned distant from where the IFM motif engages between domains III and IV (Extended Data Fig. 10c,d). Like Kv2.1, Nav channels can inactivate through closed states, recovery from inactivation does not involve transitions through the open state57—unlike recovery from rapid N-type inactivation in Shaker and Kv1 channels58—and recovery from inactivation is hastened at negative membrane voltages57. It seems likely that the mechanisms of inactivation in Nav channels involve dynamic changes in electromechanical coupling and closure of the internal pore through a mechanism related to that described here for Kv2.1. A related hydrophobic coupling nexus is also seen in Cav channels, mutations nearby strongly promote inactivation59 and recent structures of those channels have voltage sensors in activated states and internal pores that are closed15 (Extended Data Fig. 10e,f), raising the possibility that they inactivate through a mechanism related to that for Kv2.1. Many therapeutic drugs engage inactivation mechanisms to modulate the activity of voltage-activated channels in a state-dependent manner, as first described for dihydropyridines and Cav channels60. The type of inactivation mechanism described here may help to elucidate the mechanisms of action for many drugs targeting members of the larger family of voltage-activated cation channels.
Methods
Kv2.1 channel expression using Baculovirus and mammalian expression system
To produce the Kv2.1 channel for cryo-EM, WT and L403A mutant channels were cloned into the pEG vector in which EGFP was substituted with mVenus61 and expressed in tsA201 cells (Sigma-Aldrich) using the previously published Baculovirus-mammalian expression system (Invitrogen) with minor modifications62. tsA201 cells were not authenticated and mycoplasma contamination was tested routinely. In brief, the P1 virus was generated by transfecting Sf9 cells (ThermoFisher) (approximately 2.5 million cells in a T25 flask with a vent cap) with 50–100 ng of fresh Bacmid using Cellfectin (ThermoFisher). After 4 to 5 days of incubation in a humidified 28 °C incubator, the cell culture medium was collected by centrifugation (3,000g × 10 min), supplemented with 2% FBS, and filtered through a 0.45 μm filter to harvest the P1 virus. To amplify the P1 virus, approximately 500 ml of Sf9 cell cultures at approximately 1.5 million cells ml−1 density were infected with 1–200 μl of the virus and incubated in a 28 °C shaking incubator for 3 days. The cell culture medium was then collected by centrifugation (5,000g × 20 min), supplemented with 2% FBS, and filtered through a 0.45 μm filter to harvest the P2 virus. The volume of the P1 virus used for the amplification was determined by carrying out a small-scale amplification screening in which approximately 10 ml of Sf9 cell cultures at the same density were infected with different volume of the P1 virus and harvested after 3 days to transduce tsA201 cells and compare the expression level of Kv2.1 channels using mVenus fluorescence intensity. The P2 virus was protected from light using aluminium foil and stored at 4 °C until use. To express the Kv2.1 channel, tsA201 cells at approximately 1.5 million cells ml−1 in Freestyle medium with 2% FBS were transduced with 10% (v/v) of the P2 virus and incubated with a 37 °C CO2 incubator. To boost the protein expression, sodium butyrate (2 M stock in H2O) was added to 10 mM at approximately 16 h of posttransduction. The culture was continued at 37 °C in a CO2 incubator for another 24 h, and the cells were harvested by centrifugation (5,000g × 20 min) and frozen at −80 °C until use.
Kv2.1 channel purification
Before extraction of Kv2.1 channels from tsA201 cells, membrane fractionation was carried out using a hypotonic solution and ultracentrifugation. Cells were first resuspended in a hypotonic solution (20 mM Tris pH 7.5 and 10 mM KCl) with protease inhibitors (pepstatin, aprotinin, leupeptin, benzamidine, trypsin inhibitor and PMFS) using a Dounce homogenizer, incubated at 4 °C for approximately 30 min, and centrifuged at 1,000g for 10 min to remove cell debris. The supernatant was ultracentrifuged for 1 h (45,000 rpm, Beckman Ti45 rotor) and collected membranes were stored at −80 °C until use. To purify Kv2.1 channels, the fractionated membranes were resuspended in an extraction buffer (50 mM Tris pH 7.5, 150 mM KCl, 2 mM TCEP, 50 mM n-dodecyl-β-d-maltopyranoside (DDM; Anatrace), 5 mM cholesteryl hemisuccinate Tris Salt (CHS; Anatrace) with the protease inhibitor mixture used above) and extracted for 1 h at 4 °C. The solution was clarified by centrifugation (12,000g × 10 min) and incubated with Co-TALON resins (TaKaRa) at 4 °C for 1 h, at which point the mixture was transferred to an empty disposable column (Econo-Pac Bio-rad). The resin was washed with 10 column volume of Buffer A (50 mM Tris pH 7.5, 150 mM KCl, 1 mM DDM, 0.1 mM CHS and 0.1 mg ml−1 porcine brain total lipid extract; Avanti) with 10 mM imidazole, and bound proteins were eluted with Buffer A containing 250 mM imidazole. The eluate was concentrated using 100 kDa cut-off Amicon Ultra Centrifugal Filter (Millipore) to approximately 350–450 μl and loaded onto a Superose6 (10 × 300 mm) gel filtration column (GE Healthcare) and separated with Buffer A. All purification steps described above was carried out at 4 °C or on ice.
Lipid nanodisc reconstitution of the Kv2.1 channel
Lipid nanodisc reconstitution was performed following the previously published methods with minor modifications63. On the day of nanodisc reconstitution, the Kv2.1 channel purified by Superose6 in detergent was concentrated to approximately 1–3 mg ml−1 and incubated with histidine tagged Membrane Scaffold Protein (MSP)-1E3D1 and 3:1:1 mixture of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC; Avanti), 1-palmitoyl-2-oleoyl-sn-glycero-3-phospho-(1′-rac-glycerol) (POPG; Avanti) and 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine (POPE; Avanti) for 30 min at room temperature. The mixture was transferred to a tube with Bio-Beads SM-2 resin (approximately 30–50 fold of detergent; w/w; Bio-Rad) and incubated at room temperature for approximately 3 h in the presence of TEV protease (prepared in-house) and 2 mM TCEP to remove N-terminal fusion protein including poly-histidine and mVenus tag. The reconstituted protein was loaded onto Superose6 column (10 × 300 mm) and separated using 20 mM Tris and 150 mM KCl buffer at 4 °C. The success of nanodisc reconstitution was confirmed by collecting separated fractions and running SDS-PAGE to verify the presence of Kv2.1 and MSP-1E3D1 bands at a similar ratio. Typically, optimal reconstitution required the incubation of the 1:10:200 or 1:10:400 molar ratio of tetrameric Kv2.1, MSP-1E3D1 and the lipid mixture.
Cryo-EM sample preparation and data acquisition
Concentrated samples (3 µl) of Kv2.1 (1.7 mg ml−1) or the L403A (4.2 mg ml−1) mutant in nanodiscs were applied to glow-discharged Quantifoil grids (R 1.2/1.3 Cu 300 mesh). The grids were blotted for 2.5 s, blot-force 4 and 100% humidity, at 16 °C using a FEI Vitrobot Mark IV (Thermo Fisher), followed by plunging into liquid ethane cooled by liquid nitrogen. Images were acquired using an FEI Titan Krios equipped with a Gatan LS image energy Filter (slit width 20 eV) operating at 300 kV. For Kv2.1 (1–598), micrographs were acquired at the nominal magnification of ×130,000 using a Gatan K2 summit direct electron detection camera, resulting in a calibrated pixel size of 1.06 Å per pixel. The typical defocus values ranged from −0.5 to −2.0 um. Exposures of 10 s were dose-fractionated into 50 frames, resulting in a total dose of 71 e− Å−2. The data collection was automated using the Leginon software package (v.3.6)64. A total of 8,064 micrographs were collected. For the L403A mutant, a Gatan K3 Summit direct electron detector was used to record videos in super-resolution mode with a nominal magnification of ×105,000, resulting in a calibrated pixel size of 0.415 Å per pixel. The typical defocus values ranged from −0.5 to −1.5 µm. Exposures of 1.6 s were dose-fractionated into 32 frames, resulting in a total dose of 48 e− Å−2. Images were recorded using the automated acquisition program SerialEM (v.3.8.1)65. A total of 31,119 micrographs were collected from two data collection sessions.
Image processing
For Kv2.1 (1–598), all processing was completed in RELION (v.3.0)66. The beam-induced image motion between frames of each dose-fractionated micrograph was corrected using MotionCor2 (ref. 67) and contrast transfer function (CTF) estimation was performed using CTFFIND4 (ref. 68). Micrographs were selected and those with outliers in defocus value and astigmatism, as well as low resolution (greater than 5 Å) reported by CTFFIND4 were removed. The initial set of particles from 300 micrographs were picked using Gautomatch (v.0.56) (https://www2.mrc-lmb.cam.ac.uk/research/locally-developed-software/zhang-software/#gauto) and followed by reference-free 2D classification in RELION. The good classes were then used as template to pick particles from all selected micrographs using Gautomatch. A total of 2,374,290 particles were picked and extracted with 2× downscaling (pixel size of 2.12 Å). The starting model was generated using 3D initial model (C1 symmetry) with good particles from 2D classification. The best particles (361,379 particles) were selected iteratively by selecting the 2D class averages and 3D reconstructions (using C4 symmetry) that had interpretable structural features. After removing duplicate particles, the selected particles were re-extracted using box size 240 pixels without binning (pixel size of 1.06 Å). To get good reconstruction within the transmembrane domain, the re-extracted particles were further 3D classified with a transmembrane domain mask in C4 symmetry (73,548 particles selected), followed by 3D auto-refine and CTF refinement. After that, Bayesian polishing was performed, and bad particles were removed from polishing particles using 2D classification. The selected polishing particles were subjected to 3D auto-refine in RELION. The final reconstruction was reported at 2.95 Å for Kv2.1.
For the L403A mutant, all processing was completed in RELION (v.4.0)66. The micrographs were divided into two data subsets based on the collection session. The beam-induced image motion between frames of each dose-fractionated micrograph was corrected and binned by two using MotionCor2 (ref. 67). Contrast transfer function (CTF) estimation was the performed using CTFFIND4 (ref. 68). Micrographs were selected and those with outliers in defocus value and astigmatism, as well as low resolution (greater than 5 Å) reported by CTFFIND4 were removed. The initial set of particles from 300 micrographs were picked using Gautomatch and followed by reference-free 2D classification in RELION. The good classes were then used as template to pick particles from all selected micrographs using Gautomatch. A total of 4,592,944 and 8,108,046 particles were picked and extracted with 2× downscaling (pixel size of 1.66 Å) separately. After several rounds of 2D classification, the good particles were subjected to 3D classification with both C1 and C4 symmetry using the initial model generated from Kv2.1 WT dataset. The best particles from 3D reconstructions that showed structure features were selected and merged. After removing duplicate particles, the selected particles were re-extracted using box size 300 pixels without binning (0.83 Å per pixel). A total number of 1,485,964 particles were aligned to the centre using a single-class 3D classification with C4 symmetry, followed by 3D auto-refine, CTF refinement and Bayesian polishing. Bad particles were removed from polishing particles using 2D classification followed by 3D auto-refinement. The reconstruction that was similar to Kv2.1 WT was reported at 2.89 Å.
To further classify the particles, the particles were expanded from C4 to C1 symmetry (command: relion_particle_symmetry_expand), yielding 5,943,856 particles (1,485,964 × 4). These particles were submitted to 3D classification for 10 classes without image alignment. A mask around the S5 linker and S5–S6 helices was created and applied for the focus classification. Among 10 classes, five classes showed an open internal pore similar to the Kv2.1(1–598) construct, and 2 classes exhibited a closed pore and inverted symmetry with respect to each other. The better class (505,078) with a closed pore was selected and subjected to a single 3D classification with a TM region mask (skip alignment), followed by 3D auto-refinement (local search). The final reconstruction was reported at 3.32 Å for the L403A mutant.
Model building and structure refinement
For Kv2.1 (1–598), model building was first carried out by manually fitting the transmembrane domain of Kv1.2–2.1 paddle chimera channel (PDB 6EBM) into the EM density map using UCSF Chimera (v.1.15)69. The model was then manually built in Coot (v.0.9.8.1)70 and refined using real space refinement in PHENIX (v.1.19.1)71 with secondary structure and geometry restraints. The final model was evaluated by comprehensive validation in PHENIX. For the L403A mutant, the Kv2.1 WT model was first fit into the cryo-EM density map and we then manually built the model in Coot. During the building of the model, we found the density of the masked map at the end of S6 helix in protomer D to be poor, so we first built the backbone into the density of the unsharpened map to ensure that the trace of the backbone was correct before assigning the side chains within the density of the masked map. Structural figures were generated using PyMOL (v.2.4.1) (https://pymol.org/2/support.html) and UCSF Chimera (v.1.15).
Structural alignments
Sequence-independent structure-based alignments (Supplementary Fig. 3 and Extended Data Figs. 8–10) were obtained using Fr-TM-Align72 as previously described73. Pore radii were estimated using the MDAnalysis package (v.2.4.0)74 implementation of the HOLE program (v.2.2.005)75, which reports the radius of the largest sphere that can fit in the pore without intersecting with a neighbouring atom.
Electrophysiological recordings
For electrophysiological recordings, the full-length rat Kv2.1 channel22 cDNA was cloned into the pBlueScript vector. The structural construct containing a deletion after residue 598 (Kv2.1-1–598) was cloned into the pGEM-HE vector76. The W434F mutant77 of the Shaker Kv channel was studied in parallel to the non-conducting F412L mutant of Kv2.1 because it results in non-conducting channels by promoting C-type inactivation33 of the ion selectivity filter11,78,79. The Shaker W434F construct also contains a deletion of residues 6-46 to remove fast N-type inactivation19,80 and was also cloned into pGEM-HE and pBSTA34 vectors. Mutagenesis was performed by Quickchange Lightning Kit (Agilent) using the full-length channel unless otherwise indicated. The DNA sequence of all constructs and mutants was confirmed by automated DNA sequencing. cRNA was synthesized using the T7 polymerase (mMessage mMachine kit, Ambion) after linearizing with Nhe-I (NEB) for pGEM-HE or Not-I (NEB) for pBlueScript and pBSTA.
Oocytes (stage V–VI) from female Xenopus laevis frogs (approximately 1–2 years old from Xenopus I) were removed surgically and incubated for 1 h at 19 °C in a solution containing (in mM): NaCl (82.5), KCl (2.5), MgCl2 (1), HEPES (5) and pH 7.6 with NaOH and collagenase Type II (2 mg ml−1; Worthington Biochemical). The animal care and experimental procedures were performed in accordance with the Guide for the Care and Use of Laboratory Animals and were approved by the Animal Care and Use Committee of the National Institute of Neurological Disorders and Stroke (animal protocol number 1253). Defolliculated oocytes were injected with cRNA and incubated at 17 °C in a solution containing (in mM): NaCl (96), KCl (2), MgCl2 (1), CaCl2 (1.8), HEPES (5), pH 7.6 (with NaOH) and gentamicin (50 mg ml−1; GIBCO-BRL) for 24–72 h before electrophysiological recording. Oocyte membrane voltage was controlled using either with an Axoclamp-2A two-electrode voltage clamp (Axon Instruments, Foster City, CA) or an OC-725C oocyte clamp (Warner Instruments, Hamden, CT) controlled using a pClamp (10.7). Data were filtered at 1–2 kHz (8-pole Bessel) and digitized at 5–10 kHz. Microelectrode resistances ranged from 0.2–0.6 MΩ when filled with 3 M KCl. Oocytes were studied in 150 µl recording chambers that were perfused continuously with an extracellular solution containing (in mM): NaCl (98), KCl (2), MgCl2 (1), CaCl2 (0.3), HEPES (5) and pH 7.6 with NaOH. When other external K+ concentrations were used, NaCl was replaced with KCl. Most experiments were undertaken in lower external K+ to approximate physiological conditions and elevated external K+ was used in some experiments where inward tail currents were measured to compare the gating properties of different mutants. CdCl, copper-phenanthroline (Cu-Phe), dithiothreitol (DTT) and 4-aminopyridine (4-AP; Sigma-Aldrich) solutions were prepared fresh daily and added to the external recording solution to the desired final concentration. For internal tetraethylammonium (TEA; Fluka Analytics) experiments (Fig. 4b,c and Extended Data Fig. 4d–g), an injection pipette was used to inject oocytes with 100 nl of a 200 mM TEA solution in 100 mM KCl. If we assume an oocyte volume of 500 nl, the final intracellular concentration of TEA would be approximately 40 mM. All experiments were performed using a continuous flowing external solution and were carried out at room temperature (22 °C). Leak and background conductances were subtracted for tail current measurements by arithmetically deducting the end of the tail pulse of each analysed trace. In most instances, Kv channel currents shown are non-subtracted, but where indicated, a P/−4 leak subtraction protocol81 was employed.
The Boltzmann equation was fit to G–V and voltage-steady-state inactivation (I–V) relations to obtain the V1/2 and z values according to:
where I/Imax is the fractional activation of tail currents for G–V relations or I measured in P3 divided by I measured in P1 for steady-state inactivation relations, z is the equivalent charge, V1/2 is the half-activation voltage, F is Faraday’s constant, R is the gas constant and T is temperature in Kelvin. Time constants of inactivation were obtained by fitting a single or double exponential function to the decay of currents using the following equation:
where A is the amplitude and τ is the time constant. All analyses of electrophysiological data conducted using Origin 2020.
Sample size
Statistical methods were not used to determine the sample size. Sample size for cryo-EM studies was determined by availability of microscope time and to ensure sufficient resolution for model building. Sample size for electrophysiological studies was determined empirically by comparing individual measurements with population data obtained under differing conditions until convincing differences or lack thereof were evident. For all electrophysiological experiments, n values represent the number of oocytes studied from between two and ten different frogs (indicated as independent experiments).
Data exclusions
For electrophysiological experiments, exploratory experiments were undertaken with varying ionic conditions and voltage clamp protocols to define ideal conditions for measurements reported in this study. Although these preliminary experiments are consistent with the results we report, they were not included in our analysis due to varying experimental conditions (for example, solution composition and voltage protocols). Once ideal conditions were identified, electrophysiological data were collected for control and mutant constructs until convincing trends in population datasets were obtained. Individual cells were also excluded if cells exhibited excessive initial leak currents at the holding voltage (greater than 0.5 µA), if currents arising from expressed channels were too small (greater than 0.5 µA), making it difficult to distinguish the activity of expressed channels from endogenous channels, or if currents arising from expressed channels were too large, resulting in substantial voltage errors or changes in the concentration of ions in either intracellular or extracellular solutions.
Randomization and blinding
Randomization and blinding were not used in this study. The effects of different conditions or mutations on Kv2.1 channels heterologously expressed in individual cells was either unambiguously robust or clearly indistinguishable from control conditions.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Online content
Any methods, additional references, Nature Portfolio reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information, details of author contributions and competing interests, and statements of data and code availability are available at 10.1038/s41586-023-06582-8.
Supplementary information
Acknowledgements
We thank T.-H. Chang for outstanding assistance and support throughout the duration of this project. We thank A. Jara-Oseguera, M. Holmgren, M. Mayer and members of the Swartz laboratory for helpful discussion, and H. Wang from the NIH Multi-Institute Cryo-EM Facility (MICEF) for assistance in acquiring cryo-EM data. This work utilized the NIDDK Cryo-EM Core Facility, the NIH MICEF and computational resources of the NIH HPC Biowulf cluster (http://hpc.nih.gov), the Intramural programme of the National Institute of Neurological Disorders and Stroke, NIH, NS002945 (K.J.S.) and the Intramural programme of the National Heart Blood and Lung Institute, NIH, HL006238 (J.J.).
Extended data figures and tables
Author contributions
A.I.F.M., C.B., X.T. and K.J.S conceptualized the project. X.T., C.B., A.I.F.M., K.H., J.J. and K.J.S. were responsible for the methodology. A.I.F.M., X.T., C.B. and K.H. were responsible for the investigation. Visualization was done by A.I.F.M., X.T., C.B., K.H. and K.J.S. J.J. and K.J.S. were in charge of funding acquisition. Project administration was done by A.I.F.M., X.T., C.B. and K.J.S. K.J.S. supervised the project. A.I.F.M., X.T. and K.J.S. wrote the original draft of the paper. A.I.F.M., X.T., C.B., K.H., J.J. and K.J.S. reviewed and edited the paper.
Peer review
Peer review information
Nature thanks Katharina Duerr and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.
Data availability
All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Material. Maps of Kv2.1 and the L403A mutant have been deposited in the Electron Microscopy Data Bank (EMDB) under accession codes EMD-40349 and EMD-40350, respectively. Models of Kv2.1 and the L403A mutant have been deposited in the Protein Data Bank with accession codes 8SD3 and 8SDA, respectively. Additional datasets used in this study include Protein Data Bank accession codes 7SIP, 6EBM, 7SSV, 7PHH, 7UKG, 7UKE, 7UKF, 7UKC, 6AGF and 7UHG.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Ana I. Fernández-Mariño, Xiao-Feng Tan, Chanhyung Bae
Extended data
is available for this paper at 10.1038/s41586-023-06582-8.
Supplementary information
The online version contains supplementary material available at 10.1038/s41586-023-06582-8.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Material. Maps of Kv2.1 and the L403A mutant have been deposited in the Electron Microscopy Data Bank (EMDB) under accession codes EMD-40349 and EMD-40350, respectively. Models of Kv2.1 and the L403A mutant have been deposited in the Protein Data Bank with accession codes 8SD3 and 8SDA, respectively. Additional datasets used in this study include Protein Data Bank accession codes 7SIP, 6EBM, 7SSV, 7PHH, 7UKG, 7UKE, 7UKF, 7UKC, 6AGF and 7UHG.