Molecular structures of the human Slo1 K+ channel in complex with β4
Abstract
Slo1 is a Ca2+- and voltage-activated K+ channel that underlies skeletal and smooth muscle contraction, audition, hormone secretion and neurotransmitter release. In mammals, Slo1 is regulated by auxiliary proteins that confer tissue-specific gating and pharmacological properties. This study presents cryo-EM structures of Slo1 in complex with the auxiliary protein, β4. Four β4, each containing two transmembrane helices, encircle Slo1, contacting it through helical interactions inside the membrane. On the extracellular side, β4 forms a tetrameric crown over the pore. Structures with high and low Ca2+ concentrations show that identical gating conformations occur in the absence and presence of β4, implying that β4 serves to modulate the relative stabilities of ‘pre-existing’ conformations rather than creating new ones. The effects of β4 on scorpion toxin inhibition kinetics are explained by the crown, which constrains access but does not prevent binding.
Introduction
The Slo1 channel, also known as BK or MaxiK, distinguishes itself from other K+ channels by its unusually large single-channel conductance (~10–20 times greater than most other K+ channels) and dual regulation by intracellular Ca2+ and membrane voltage (Marty, 1981; Pallotta et al., 1981; Barrett et al., 1982; Latorre et al., 1982; Latorre and Miller, 1983; Elkins et al., 1986; Atkinson et al., 1991; Adelman et al., 1992; Butler et al., 1993; Pallanck and Ganetzky, 1994; Magleby, 2003). Because both Ca2+ and membrane voltage gate Slo1, it serves as a hub in numerous physiological processes that couple membrane excitability to Ca2+ signaling events such as muscle contraction, audition, hormone secretion, and neurotransmitter release (Contreras et al., 2013; Latorre et al., 2017). Deficiencies in the Slo1 channel have been linked to a spectrum of diseases including hypertension, urinary incontinence secondary to overactive bladder (OAB), epilepsy, mental retardation, and autism (Contreras et al., 2013; Latorre et al., 2017).
Slo1 functions as a tetramer of the pore-forming α subunit, which is encoded by a single gene, Slowpoke (KCNMA1). Previously, we determined the atomic structures of aplysia Slo1(acSlo1) in the absence and presence of Ca2+ (Hite et al., 2017; Tao et al., 2017). These structures provided an explanation for the apparent paradox of an unusually high conductance and exquisite K+ selectivity, showed how the Ca2+ sensing mechanism can work, and showed how the Ca2+ and voltage sensors are in contact with each other, allowing for the possibility that the two sensing mechanisms could be directly coupled (Hite et al., 2017; Tao et al., 2017).
In mammals, Slo1 channels usually consist of α plus auxiliary subunits. The α subunits are similar to those of invertebrate Slo1 channels, but the auxiliary subunits represent a novel feature. Auxiliary subunits give rise to functional diversity and to tissue-specificity amongst the otherwise ubiquitously expressed Slo1 channel α subunit. There are two distinct families of auxiliary subunits discovered so far, termed β (2-transmembrane, 2-TM) and γ (single-TM) (Garcia-Calvo et al., 1994; Knaus et al., 1994b; Knaus et al., 1994c; Behrens et al., 2000; Brenner et al., 2000; Meera et al., 2000; Uebele et al., 2000; Weiger et al., 2000; Xia et al., 2000; Braun, 2010; Yan and Aldrich, 2010; Yan and Aldrich, 2012; Zhang and Yan, 2014). These auxiliary subunits diversify the function of Slo1 to the greatest extent compared to other modifications such as alternative splicing, phosphorylation etc. They dramatically modify nearly all aspects of Slo1’s biophysical properties (including the activation and deactivation kinetics and Ca2+ sensitivity) as well as pharmacological characteristics (such as the channel’s sensitivity to natural toxins) (McManus et al., 1995; Dworetzky et al., 1996; Chang et al., 1997; Orio et al., 2002; Lippiat et al., 2003; Ha et al., 2004; Brenner et al., 2005; Wang et al., 2006; Savalli et al., 2007; Martin et al., 2008; Braun, 2010; Wu and Marx, 2010; Yan and Aldrich, 2010; Yan and Aldrich, 2012; Torres et al., 2014; Zhang and Yan, 2014; Latorre et al., 2017). There are four members identified for each family (β1-β4 and γ1-γ4) and members within the same family modify channel function to very different extents. These auxiliary subunits generally do not exist in lower animals. Therefore, regulation of Slo1 by auxiliary subunits appears to be a key mechanism of functional tuning to fulfill different physiological roles in various tissues and cell types of higher animals.
How these single or 2-TM small transmembrane proteins physically associate with and modulate the large pore-forming α subunit’s function has been studied by many scientists since the discovery of the first member - β1 in 1994 (Garcia-Calvo et al., 1994; Knaus et al., 1994b; Knaus et al., 1994c). So far, no structure of a β or γ subunit alone or in complex with the α subunit has been determined to help us understand how these proteins work. In this study we present the structures of a mammalian (human) Slo1 channel consisting of the α subunit alone and in complex with the brain-enriched β4 subunit. In each case (presence and absence of β4 subunit) we have determined the structures of Ca2+-activated (open) and Ca2+-depleted (closed) conformations. We also interrogate the influence of structure-guided mutations of β4 using an electrophysiological assay.
Results
Structure determination of the human Slo1 channel in 4 states
To obtain biochemically stable protein samples suitable for structural studies we modified the gene encoding the Slo1 α subunit by removing the C-terminal 57 amino acids (unstructured in the crystal structure of the human Slo1 cytoplasmic domain) (Yuan et al., 2010). This modification neither affected the function of the Slo1 channel α subunit alone nor the functional influence β subunits have on Slo1 (Figure 1—figure supplement 1). Co-expression with either the β1 or β4 subunit slowed the activation and deactivation kinetics of the truncated Slo1 channel and modified its apparent Ca2+sensitivity, as reported for the full length Slo1 channel (Figure 1—figure supplement 1) (McManus et al., 1995; Dworetzky et al., 1996; Lippiat et al., 2003; Ha et al., 2004). The truncated Slo1 channel fused with a C-terminal GFP was either expressed alone or co-expressed with the β4 subunit in HEK293S GnTI- cells using the BacMam method (Goehring et al., 2014) and purified in the presence of Digitonin and a mixture of phospholipids using a GFP nanobody-affinity column followed by size-exclusion chromatography (Fridy et al., 2014). The final protein sample of Slo1 co-expressed with the β4 subunit contained both the α subunit and the β4 subunit confirmed by SDS-PAGE and mass spectrometry. Structures of human Slo1 in four distinct states were determined: Ca2+-free and Ca2+-bound α subunit alone as well as Ca2+-free and Ca2+-bound α-β4 complex at resolutions of 4.0 Å, 3.8 Å, 3.5 Å and 3.2 Å, respectively (Figure 1A, Figure 1—figure supplements 2–4 and Table 1). Details of the structure determinations are given in Materials and methods.
The final reconstruction of the Ca2+-bound α-β4 complex is of highest quality compared to the others, with the majority of regions well resolved for model building (Figure 1—figure supplements 2 and 3). The resolution of the density corresponding to the β4 extracellular region was worse than the TM regions (Figure 1—figure supplements 2F and 3). Still we were able to build an essentially complete model of β4 de novo using a subclass from focused-classification (see Materials and methods). Registration of the β4 subunit sequence was confirmed by recognizable large sidechains and the presence of four disulfide bonds as well as sugars attached to the two sequence-predicted and mass-spectrometry-confirmed N-glycosylation sites. The final model has good geometry and contains amino acids 16–54, 91–569, 577–615, 681–833 and 871–1056 of the α subunit and amino acids 7–205 of the β4 subunit (Table 1).
The above atomic model of the Ca2+-bound α-β4 complex was used as a starting model for the other three conformations, followed by multiple rounds of manual rebuilding in Coot and real-space refinement with Phenix (Emsley et al., 2010; Afonine et al., 2018). The final models all have good geometry (Table 1). Due to its highest resolution, the atomic model of the Ca2+-bound α-β4 complex is used for most of the structural description and analysis in this manuscript.
Quaternary structure of the open human Slo1 α-β4 channel complex
The human Slo1 α subunit tetramer is organized similarly to acSlo1 (Figure 1B) (Tao et al., 2017). Four of the β4 subunits bind to the human Slo1 tetramer, extending the channel extracellularly by about 40 Å when viewed from the side (Figure 1B). The complex has dimensions of approximately 150×150×150 Å. Consistent with disulfide crosslinking data in the literature, β4 subunits are located between voltage sensor domains (VSDs) and each β4 subunit contacts two neighboring VSDs simultaneously (Figure 1B) (Liu et al., 2008; Wu et al., 2009; Liu et al., 2010; Wu et al., 2013). The 120-amino acid linker between the two TMs (TM1 and TM2) of β4 forms a well-ordered structure on the extracellular side (termed ‘EC domain’ throughout the manuscript). Four EC domains form a ‘crown’ on top of the Slo1 channel (Figure 1B).
The protein sample contained high concentrations of Ca2+ and Mg2+ (10 mM each). As expected, the channel adopts an open conformation and both Ca2+ binding sites (the Ca-RCK1 site and the Ca-bowl site) in the gating ring and the Mg2+ binding site at the interface between RCK1 and the VSD are occupied, as observed in acSlo1 under the same buffer conditions (Tao et al., 2017).
Structure of the β4 subunit
Figure 2A shows a ribbon representation of the β4 subunit monomer in stereo. As predicted from the primary sequence, the β4 subunit contains two long transmembrane helices, TM1 and TM2 (Figure 2A). Density for the N-terminal six amino acids as well as the C-terminal five amino acids (residues 206–210) were not visible in the open Slo1-β4 complex, indicating their structural flexibility. Amino acids 7–11 form a short loop (termed ‘N-loop’) preceding TM1 (Figure 2A). TM1 kinks near the extracellular membrane interface and extends further into the extracellular space about four additional helical turns while TM2 extends beyond the intracellular membrane interface into the cytoplasm (Figure 2A). TM1 and TM2 within the β4 monomer form an extensive interface with mostly hydrophobic interactions (Figure 2B). The extended C-terminal part of TM2 also interacts with the N-loop through a few hydrogen bonds (Figure 2B).
The well-ordered EC domain, which connects TM1 and TM2, contains mostly β strands (βA-βE, βH-βI), two short α helices (αF-αG) and loops in between (Figure 2A and C and Figure 2—figure supplement 1A). The structure is held together by four disulfide bonds (Figure 2C). The β4 EC domain also contains two predicted N-glycosylation sites, with one of them conserved among all the β subunits (Figure 2C and Figure 2—figure supplement 1A). Glycosylation at these two predicted sites were confirmed with tandem ms/ms and extra density near both sites was observed in the final map, most likely representing the sugars. Glycosylation was shown to regulate the sensitivity of Slo1-β4 to iberiotoxin and also modify other biophysical properties of Slo1-β1 (Jin et al., 2002; Hagen and Sanders, 2006). In the open Slo1-β4 model, these two glycosylation sites are located at the outer periphery of the EC domain, far from the β4/β4 or α/β4 interfaces (Figure 2C). Therefore, the structure does not obviously explain the functional effects of these modifications. We note that proteins in this study were expressed using a glycosylation-deficient strain that produces smaller sugar groups. We cannot rule out the possibility that these sugars under physiological conditions might form carbohydrate-carbohydrate or carbohydrate-protein interactions not observed in the current structural model. The secondary structural elements as well as the four disulfide bonds match a recently published NMR structure of the extracellular loop of human β4 (Wang et al., 2018). However, our Slo1-β4 complex structure exhibits a completely different tertiary structure of the EC domain than that proposed on the basis of NMR experiments. Based on a hypothetical Slo1-β4 model constructed from NMR titration and the β4 EC solution structure, N123 on β4 was suggested to be critical for regulating Slo1 gating through interactions with E264 on the turret of the α subunit upon Ca2+ binding (Wang et al., 2018). The distance between sidechains of these two residues was hypothesized to shift from 10.6 Å to 5.5 Å when the channel opens, allowing them to interact. However, these two residues are more than 27 Å apart in our open Slo1-β4 complex structure and remained essentially static in the closed Slo1-β4 complex structure, making any direct interactions very unlikely.
No structural homologs of the EC domain have been reported. A search of the protein data bank using Dali revealed only proteins sharing part of the structure with the top hits being mostly nucleotide binding proteins (such as exosome complex component RRP45 and translation initiation factor 2 γ subunit), which contain some of the β strands, and certain toxins (such as pertussis toxin and subtilase cytotoxin), which contain much shorter helices and loops. The physiological importance of this EC domain must await further study (see Discussion).
The stoichiometry of α and β subunits was assumed generally to be 1:1. Evidence of sub 1:1 stoichiometry emerged from analysis of co-expression in oocytes (Wang et al., 2002) as well as in native tissues (Solaro et al., 1995; Ding et al., 1998; Kuntamallappanavar et al., 2017). It was proposed that a Slo1 channel can contain zero to four β subunits, with each β subunit incrementally influencing channel gating properties (Wang et al., 2002). In the Slo1-β4 complex structure, β4 binds to the α subunit with 1:1 subunit stoichiometry (i.e. four β4 subunits per tetramer of α subunits) (Figures 1B and 2D–E). The four β4 subunits form extensive interfaces with neighboring EC domains, encompassing a buried area of ~907 Å2/monomer (Figure 2D–G). The protein sample used for EM studies was produced by overexpressing β4, thus we cannot rule out the possibility that a sub 1:1 β:α complex could exist under physiological conditions. However, the structure would predict a more stable conformation upon tetramer formation because the EC domain, which interacts extensively with itself, makes only minimal contact with the α subunit (Figures 1B and 2D–G).
Chemical nature of interfaces between β4 and α
Many biochemical and molecular biological studies have analyzed interactions between Slo1 and β subunits using, for example, disulfide crosslinking and TOXCAT assays (Liu et al., 2008; Wu et al., 2009; Liu et al., 2010; Morera et al., 2012; Wu et al., 2013). TM1 was predicted to be in the vicinity of S1 and S2 on the VSD (Liu et al., 2008; Wu et al., 2009; Liu et al., 2010; Wu et al., 2013) and direct interactions between TM1 of β2 and S1 of the VSD were found using the TOXCAT assay (Morera et al., 2012). In our Slo1-β4 structure, β4 associates with the α subunit almost exclusively through the two TM helices (Figure 3A). The TM1 segment near the outer leaflet of the membrane contacts the transmembrane domain (TMD) from one α subunit (‘α1’) through hydrophobic interactions with sidechains from S1 and the pore helix (PH), while at the same time interacting with sidechains from S6 and the turret of a contiguous α subunit (‘α2’) (Figure 3A–B). Notably, lipid molecules also contribute to these interfaces (Figure 3A–B). The TM1 segment near the inner leaflet acyl chain region mostly contacts S3 of α2 and several ordered lipid molecules through hydrophobic interactions (Figure 3C). The bottom of TM1, near the intracellular membrane interface, makes contacts with multiple regions of the α subunit including the S2-S3 linker and S0 from α2, the S6-RCK1 linker from α1 and phospholipid headgroups through hydrogen bonds (Figure 3C). With the same TOXCAT assay, no direct association with the α subunit was detected for TM2, the EC domain, or the C-terminus of β and it was thus suggested that there are no strong interactions between TM2 and S0 despite the nearness predicted from the disulfide crosslinking experiments (Liu et al., 2008; Wu et al., 2009; Liu et al., 2010; Morera et al., 2012; Wu et al., 2013). Our structure shows that the TM2 outer leaflet segment only interacts with α2. Furthermore, this interface is purely mediated by lipid molecules forming a hydrophobic core with TM2 sidechains (Figure 3A–B). The TM2 inner leaflet segment forms an extensive protein:protein interface with S0 and S3 from α2 (Figure 3A and C). The residues of β4 directly involved in the α/β association turn out to be fairly conserved among β1-β4 (Figure 2—figure supplement 1A). Therefore, it would seem likely that β1-β4 subunits all bind to Slo1 in a similar fashion. Furthermore, Slo1 residues involved in these specific interactions appear to be conserved between Slo1 and Slo3, which would explain why all members of the β subunit family also physically associate with Slo3 (Figure 2—figure supplement 1B) (Yang et al., 2009). We emphasize the general observation that lipid molecules make significant contributions to the α/β interfaces at both the inner and outer membrane leaflets, suggesting they are an integral part of the Slo1 α-β4 channel complex (Figure 3).
In the open α-β4 model, the N-loop preceding TM1 is located adjacent to the S6-RCK1 linker and the αC helix of the RCK1 N-lobe, making short and long-range interactions between these regions likely. T11 of β4 is less than 5 Å away from D173 in the S2-S3 loop of the α subunit; the E12 sidechain of β4 is about 5.5 Å away from R329 in the S6-RCK1 linker and is also in the vicinity of W176 on S3 and H409 on the αC helix.
Wang et. al. suggested that the EC domain of β1 might interact with the extracellular side of the Slo1 VSD, as mutations in that region caused appreciable changes in Slo1 gating (Gruslova et al., 2012). The Slo1-β4 complex structure shows essentially no direct association between the β4 EC domain and the α subunit. The functional effects they observed from the mutations could be due to indirect effects.
Influence of β4 N-terminus on Slo1 gating
β1 and β4 subunits slow the kinetics of Slo1 activation and deactivation in response to voltage steps (Figure 1—figure supplement 1; Figure 4A). We sought to identify regions of β4 that mediate these rate changes. Guided by the structure, we divided β4 into 10 regions depicted in Figure 4B and described in detail in Materials and methods. Mutants were made by replacing one or more of these 10 regions of β4 mainly with the equivalent sequence from β1 (Figure 4B and Table 2). The β1 sequence – instead of alanine or other substitutions – was used, reasoning this would more likely achieve expression and assembly of a functional complex. Co-expression was carried out in Xenopus oocytes and currents were recorded under two-electrode voltage clamp (TEVC), as shown (Figure 4). Activation and deactivation kinetics were quantified by fitting a single exponential function to the current time course (Figure 4C).
Figure 4—figure supplement 1A shows the plot of activation time constants (τ_on) of wild-type (wt) and all mutants in an ascending order from left to right. Based on their difference from the β4 or β1 wt values, these mutants are subdivided into four categories ranging from τ_on less than one half that of β4 wt (i.e. faster rates) to greater than two times β4 wt (i.e. slower rates). Deactivation time constants (τ_off) were plotted in a similar fashion (Figure 4—figure supplement 1B). Mutants with faster activation rates were distributed throughout the β4 structure, while those with significantly slower activation rates were distributed with some bias towards the inner leaflet region of TM1, the N-loop, and the N-tail (Figure 4—figure supplement 1A and C, Table 2). While mutations affecting τ_on were not strongly correlated with effects on τ_off, those causing the greatest slowing of deactivation also involved the N-terminus of TM1, the N-loop and N-tail (Figure 4—figure supplement 1B and Table 2).
Although not observed in the cryo-EM structure, the N-tail plays a definitive role in determining activation kinetics. Specifically, mutants containing the N-tail of β4 activate more slowly than those with the N-tail of β1. This effect is demonstrated in Figure 4D, which shows the influence of the β4 versus the β1 N-tail independent of mutations elsewhere in the body of the β subunit. The importance of the β subunit N-terminus to gating has already been proposed (Castillo et al., 2015). We also observe that removal of the N-tail results in a modest increase in the rate of activation (Figure 4—figure supplement 1 and Table 2). In the open structure of the Slo1 α-β4 complex, the N-loop of β4 is located next to the S6-RCK1 linker of α. It would seem likely that the close proximity of this N-terminal region, including the N-tail of the β4 subunit, to an important gating region of the α subunit, the S6-RCK1 linker, somehow underlies the effects on activation that we observe.
Ca2+-induced Pore Opening in the Context of the β4 Subunit
Ca2+ binding to two unique Ca2+ binding sites per α subunit produces protein conformational changes that splay the S6 (inner) helices, causing a wide pathway for ion diffusion to open between the cytoplasm and the transmembrane pore (Figure 5A). The Ca2+ binding sites are located within the cytoplasmic ‘gating ring’, which is centered on the four-fold channel axis just beneath the transmembrane pore (Figures 1B and 5B). When Ca2+ binds, a domain of the gating ring closest to the membrane, called the RCK1 N-lobe, expands away from the channel’s central axis; expansion of all four RCK1 N-lobes, one from each subunit, produces a radial expansion, as shown (Figure 5B). Since the RCK1 N-lobes are connected directly to the S6 helices via the S6-RCK1 linkers, their expansion produces pore opening. Structural details of the Ca2+ binding site reorganization upon Ca2+ binding, RCK1 N-lobe expansion and pore opening observed in human Slo1 are essentially the same as those observed previously in acSlo1 (Hite et al., 2017; Tao et al., 2017). Thus, the intricacies of Ca2+-mediated pore opening are conserved among Slo1 channels from invertebrates to mammals.
The Ca2+-bound structures of the human Slo1 α subunit determined in the absence and presence of the β4 subunit are essentially identical to each other (RMSD 2.0 Å) (Figure 5—figure supplement 1A). Likewise, the two Ca2+-free structures of the α subunit (± β4 subunit) are also the same within the accuracy of our measurements (RMSD 1.1 Å) (Figure 5—figure supplement 1B). Contrasting the large Ca2+-mediated conformational changes that occur within the α subunit pore (Figure 5A) and gating ring (Figure 5B) with the absence of conformational change in the β4 subunit (Figure 5C) gives the impression that the β4 subunits encage the α subunit channel without interfering with its Ca2+-mediated gating conformational changes. Within the outer leaflet of the membrane even lipid molecules that mediate interactions between the α and β subunits remain unperturbed (Figure 5D and E). Within the inner leaflet of the membrane, where large gating conformational changes in the α subunit occur (Figure 5A and F–H), interfaces between α and β subunits – especially surrounding the more centrally located TM1 of the β subunit – undergo change. This N-terminal segment of TM1 corresponds to the region where mutations had the largest influence on gating kinetics (Figure 5F–H and Figure 4—figure supplement 1).
In functional studies, β subunits alter the apparent Ca2+ sensitivity of gating. But the sensitivity changes are not thought to reflect changes in intrinsic Ca2+ affinity for the binding sites, but instead are proposed to reflect indirect effects that β subunits have on α subunit conformational changes that are coupled to Ca2+ binding (Cox and Aldrich, 2000; Nimigean and Magleby, 2000; Bao and Cox, 2005; Savalli et al., 2007; Contreras et al., 2012). The structures support this proposal because the Ca2+ binding sites are unaltered by the presence of β subunits (Figure 5—figure supplement 1C–F). This study only determined structures at very low and very high Ca2+ concentrations. Had we determined structures at intermediate Ca2+ concentrations we suspect that we would observe the same closed and open conformations with a distribution accounting for their relative probabilities weighted according to the Ca2+ concentration (Hite and MacKinnon, 2017). We expect that the ‘weighting function’ would be altered by the presence of β subunits. The structural data support the idea that β subunits stabilize or destabilize conformational states of the α subunits rather than creating new states. The RCK1 N-lobe and S6-RCK1 linker region of the α subunit is one likely region where β subunits exert their effects. We also must point out that the structures determined in this study, corresponding to a cycle relating β subunits to Ca2+ binding (Figure 1A), are silent on direct effects that the β subunits could have on different conformations of the voltage sensors. It is very possible that yet unknown structural changes brought about by a transmembrane electric field could alter interactions between β subunits and the voltage sensors of the α subunits. Direct stabilization of different conformations of voltage sensors by β subunits remains a distinct mechanistic possibility (Bao and Cox, 2005; Savalli et al., 2007; Contreras et al., 2012).
Structural basis for modification of Slo1 toxin sensitivity by β subunits
Certain protein toxins from scorpion venoms inhibit K+ channels by plugging their extracellular pore entryway (Anderson et al., 1988; MacKinnon and Miller, 1988). Our understanding of these toxins’ mechanism of action as pore blockers comes mainly from studies of charybdotoxin (CTX) and Iberiotoxin (IbTX) inhibition of Slo1 channels (Candia et al., 1992; Giangiacomo et al., 1992; Miller, 1995). The large conductance of Slo1 has enabled the measurement of toxin association and dissociation events in single channel recordings (MacKinnon and Miller, 1988). About 30 years ago a Slo1 with altered toxin binding properties was discovered (Reinhart et al., 1989). The altered properties were later attributed to the presence of β4 subunits (Behrens et al., 2000; Brenner et al., 2000; Meera et al., 2000; Weiger et al., 2000; Lippiat et al., 2003). We now know that different β subunits confer unique pharmacological profiles to the Slo1 channel (Behrens et al., 2000; Brenner et al., 2000; Lippiat et al., 2003). Studies with mutant β subunits showed that toxins are most sensitive to the composition of the EC domain (Meera et al., 2000).
The α-β4 structure provides a simple explanation for the general observation that β subunits slow the rates of association and dissociation of toxins with the channel: the EC domain crown limits access to the toxin binding site. Using the crystal structure of CTX bound to the Kv1.2-Kv2.1 paddle chimera channel to model CTX binding to Slo1, we conclude that there is adequate space for toxin binding within the cage beneath the crown, but that CTX has restricted access across the central opening to reach its binding site (Figure 6A–C and Figure 6—figure supplement 1) (Banerjee et al., 2013). The toxin is elongated along one axis and likely has to orient with its long axis parallel to the 4-fold axis to pass through the opening on the top of the crown. Optimal orientation will still require amino acid sidechain adjustments on both the toxin and β subunits to permit passage. Restricted access rationalizes a reduced association rate (compared to a Slo1 channel without β subunits) if the probability of successful encounter is reduced (Schurr, 1970). Analogously, a reduced dissociation rate would reflect a reduced probability of toxin exit. If the toxin releases from its binding site and tumbles within the cage beneath the crown, rebinding many times before finally exiting, the resultant effect would be purely kinetic (the assumption here being that release and rebinding without dissociation from the cage would be too rapid to resolve as dissociation events in channel recordings). If, on the other hand, toxin is stabilized on its binding site by the β subunit, then equilibrium effects (i.e. effects on affinity) would also be expected. Data suggest that both kinetic (i.e. rate changes that could be modeled through a barrier height) and equilibrium effects (i.e. affinity changes that could be modeled through the depth of a toxin binding well) occur (Behrens et al., 2000; Brenner et al., 2000; Meera et al., 2000; Lippiat et al., 2003).
A number of prior experiments and conclusions are consistent with the α-β4 structure. In 1994 Garcia and colleagues demonstrated that K69 on β1 (corresponding to R77 on β4) can be cross-linked to CTX (Knaus et al., 1994a). R77 is located inside the cage formed by the EC domain crown, facing the backside of CTX (i.e. the side opposite the pore’s selectivity filter) (Figure 6D). Scorpion toxins generally are electropositive on their surface: CTX and IbTX contain a total of 8 and 7 positively charged residues, respectively (Figure 6E and Figure 2—figure supplement 1C). Garcia et. al. speculated that certain negatively charged residues within the large extracellular loop of the β subunit attract CTX to its binding site on the α subunit (Hanner et al., 1998). In line with this hypothesis, the inner surface of the cage formed by the EC domain crown is electronegative due to the presence of two rings of negatively charged residues – E64 and E67 (Figure 6F–H). These positions are almost strictly conserved as negatively charged residues (E or D) in β1 to β4 (Figure 2—figure supplement 1A), which would create electrostatic interactions between the toxin and the β subunit. Mutations made on the back side of CTX have little effect on affinity for Slo1 without β subunits (Park and Miller, 1992). The structural model predicts that some of the same CTX mutations are likely to have an effect in the presence of β subunits (Figure 6D).
Discussion
The ion channel composed of the α subunit of Slo1 forms a functional Ca2+- and voltage-gated K+ channel. In different cells within an organism the functional properties of Slo1 are not all the same: variations in the kinetics of channel opening and closing and in the apparent Ca2+ sensitivity are observed. These variations exist because the functional properties of Slo1 channels are ‘tuned’ through RNA splicing, posttranslational modifications, and assembly of the Slo1 α subunit with auxiliary β or γ subunits. In this study we for the first time visualize the assembly of the Slo1 α subunit with an auxiliary subunit, the β4 subunit. The structure offers a mechanistic picture explaining certain functional properties, such as the influence of β subunits on toxin interactions with Slo1. The structure also implies that the N-terminus of the β subunit TM1 and the segment of β4 preceding TM1 influence channel gating through interactions with the gating ring RCK1 N-lobe and the S6-RCK1 linker. As is often the case, because functional properties of a protein can be sensitive to atomic displacements smaller than the resolution of a structure, many functional effects of β subunits are not easily explained by the structure. For the unexplained properties, the structure still serves as an essential starting point for future understanding.
The Slo1 β subunits are one example of relatively small (i.e. TM segments not much larger than a few lipid molecules) membrane proteins that regulate the function of ion channels. Slo1 also has γ subunits, the KCNQ (Kv7) voltage-dependent K+ channels co-assemble with single membrane-spanning KCNE subunits, Kv4 co-assembles with dipeptidyl aminopeptidase-like (DPPL) proteins and voltage-dependent Na+ (Nav) channels are also associated with auxiliary subunits (Pongs and Schwarz, 2010; Calhoun and Isom, 2014; Zhang and Yan, 2014). These small transmembrane proteins are generally multifunctional, affecting various aspects of the larger target protein including trafficking/surface expression, biophysical properties, pharmacological profiles, and assembly into functional complexes (Pongs and Schwarz, 2010; Zickermann et al., 2010; Calhoun and Isom, 2014). DPPL for Kv4 has been implicated in binding to components of the extracellular matrix through its extracellular domain (Pongs and Schwarz, 2010), and the Nav β subunit extracellular domain plays a crucial role in cell adhesion and migration (Calhoun and Isom, 2014). Whether the structured crown of Slo1 β subunits (sequence similarity virtually guarantees a similar extracellular structure in β1-β3 as well) interacts with extracellular matrix proteins to localize Slo1 channels to specific regions of a cell, perhaps regions of contact with other cells, is still unknown, but seems like a good possibility.
Another idea we have when looking at the α-β4 Slo1 structure is inspired by the location of the β subunit TM helices. When they encircle the α subunit, they must displace lipid molecules. As shown in the structures, certain lipid molecules are bound at the α/β subunit interfaces, but the presence of β subunits necessitates the displacement of some lipids. We know that the function of many ion channels is very sensitive to the membrane lipid composition (Heginbotham et al., 1998; Valiyaveetil et al., 2002; Schmidt et al., 2006; Schmidt et al., 2009; Cheng et al., 2011). Thus, we consider it perhaps useful to view these small transmembrane spanning proteins as membrane components that, like lipids, by altering the chemical and physical properties of the surrounding membrane, alter the function of the ion channel.
Materials and methods
Cloning, Expression and Purification
Request a detailed protocolHsloM3 (GI: 507922, here referred to as human Slo1 or hsSlo1) was generously provided by Ligia Toro in a pcDNA3 vector and served as the template for subcloning. To improve the biochemical stability of hsSlo1, we excluded the very C-terminal 57 residues at the level of molecular biology. Specifically, a gene fragment encoding residues 1–1056 of hsSlo1 was subcloned into a modified pEG BacMam vector (Goehring et al., 2014). The resulting protein has green fluorescent protein (GFP) and a 1D4 antibody recognition sequence (TETSQVAPA) on the C-terminus, separated by a PreScission protease cleavage site (SNSLEVLFQ/GP). This truncated construct, denoted hsSlo1EM, was used in all the experiments of this manuscript.
Synthetic gene fragments (Genewiz) encoding full length human β4 (GI: 26051275, residues 1–210) and β1 (GI: 4758626, residues 1–191) subunit of Slo1 were subcloned into a similarly modified pEG BacMam vector with mCherry and a deca-histidine affinity tag (mCherry-His10) replacing the GFP-1D4 fragment.
HsSlo1 was either expressed alone or co-expressed with the β4 subunit in HEK293S GnTI- cells using the BacMam method (Goehring et al., 2014). Briefly, bacmid carrying hsSlo1EM or β4 subunit was generated by transforming E. coli DH10Bac cells with the corresponding pEG BacMam construct according to the manufacturer’s instructions (Bac-to-Bac; Invitrogen). Baculoviruses were produced by transfecting Spodoptera frugiperda Sf9 cells with the bacmid using Cellfectin II (Invitrogen). Baculoviruses, after two rounds of amplification, were used for cell transduction. Suspension cultures of HEK293S GnTI- cells were grown at 37°C to a density of ~3×106 cells/ml. For expression of hsSlo1 alone, cell culture was infected with 15% (v:v) of hsSlo1EM baculovirus. For co-expression of hsSlo1 and β4 subunit, cell culture was infected with 5% (v:v) hsSlo1EM plus 15% (v:v) of β4 baculoviruses to initiate the transduction. After 20 hr, 10 mM sodium butyrate was supplemented and the temperature was shifted to 30°C. Cells were harvested ~40 hr after the temperature switch.
For the Ca2+-bound hsSlo1 protein sample, cells were gently disrupted by stirring in a hypotonic solution containing 10 mM Tris-HCl pH 8.0, 3 mM dithiothreitol (DTT), 1 mM EDTA supplemented with protease inhibitors including 0.1 μg/ml pepstatin A, 1 μg/ml leupeptin, 1 μg/ml aprotinin, 0.1 mg/ml soy trypsin inhibitor, 1 mM benzamidine, 0.1 mg/ml 4-(2-Aminoethyl) benzenesulfonyl fluoride hydrochloride (AEBSF) and 1 mM phenylmethysulfonyl fluoride (PMSF). Cell lysate was then centrifuged for 30 min at 30,000 g and pellet was homogenized in a buffer containing 20 mM Tris-HCl pH 8.0, 320 mM KCl, 10 mM CaCl2, 10 mM MgCl2 supplemented with protease inhibitors including 0.1 μg/ml pepstatin A, 1 μg/ml leupeptin, 1 μg/ml aprotinin, 0.1 mg/ml soy trypsin inhibitor, 1 mM benzamidine, 0.1 mg/ml AEBSF and 0.2 mM PMSF. The lysate was extracted with 10 mM lauryl maltose neopentyl glycol (LMNG) and 2 mM cholesteryl hemisuccinate (CHS) for an hour with stirring and then centrifuged for 40 min at 30,000 g. Supernatant was added to GFP nanobody-conjugated affinity resin (CNBr-activated Sepharose 4B resin from GE Healthcare) pre-equilibrated with wash buffer (20 mM Tris-HCl pH 8.0, 450 mM KCl, 10 mM CaCl2, 10 mM MgCl2, 0.005% digitonin (Sigma), 0.1 mg/ml 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine (POPE): 1-palmitoyl-2-oleoyl-glycero-3-phosphocholine (POPC): 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphate (POPA) 5:5:1 (w:w:w), 0.1 μg/ml pepstatin A, 1 μg/ml aprotinin and 0.1 mg/ml soy trypsin inhibitor) (Fridy et al., 2014). The suspension was mixed by nutating for ~2 hr. Beads were first washed with 10 column volumes of wash buffer in batch mode and then collected on a column by gravity, washed with another 20 column volumes of wash buffer. The protein was then digested on resin with PreScission protease (~20:1 w:w ratio) overnight with gentle rocking. Flow-through was then collected, concentrated and further purified on a Superose-6 size exclusion column in 20 mM Tris-HCl pH 8.0, 450 mM KCl, 10 mM CaCl2, 10 mM MgCl2, 0.1 μg/ml pepstatin A, 1 μg/ml aprotinin, 0.005% digitonin and 0.05 mg/ml POPE:POPC:POPA 5:5:1 (w:w:w). All purification procedures were carried out either on ice or at 4°C. The peak fractions corresponding to the tetrameric Slo1 channel was concentrated to about 7 mg/ml and used for preparation of cryo-EM sample grids.
The Ca2+-free hsSlo1 protein sample was prepared in a similar fashion with 5 mM EGTA and 15 mM MgCl2 substituting 10 mM CaCl2 and 10 mM MgCl2. For the Ca2+-bound and Ca2+-free hsSlo1-β4 complex protein samples, 1% Digitonin was used for extraction and final protein concentration was at ~8.5 mg/ml.
For confirmative studies of the two predicted N-glycosylation sites on human β4, single and double N2Q mutants were made and confirmed by sequencing (Genewiz). The hsSlo1EM-β4 glycosylation mutants complex were expressed and purified the same as hsSlo1EM-β4 wild-type. The purified proteins were analyzed with tandem mass spectrometry (ms/ms) at the Proteomics Resource Center of the Rockefeller University.
Cryo-EM grid preparation and imaging
Request a detailed protocol3.5 μl of purified protein sample was pipetted onto glow-discharged Quantifoil Au 400 mesh, R 1.2/1.3 holey carbon grids (Quantifoil). Grids were blotted for 4 s with a blotting force of 1 and humidity of 100% and flash frozen in liquid-nitrogen-cooled liquid ethane using a FEI Vitrobot Mark IV (FEI). Grids were then transferred to a FEI Titan Krios electron microscope operating at an acceleration voltage of 300 keV. Images were recorded in an automated fashion on a Gatan K2 Summit detector (Gatan) set to super-resolution mode using SerialEM (Mastronarde, 2005). Images of Ca2+-bound (open) hsSlo1-β4 complex were recorded with an energy filter of 20 eV at a super-resolution pixel size of 0.52 Å and defocus range of 0.7 to 2.0 μm, for 10 s with a subframe exposure time of 200 ms in a dose of approximately eight electrons per pixel per second (a total accumulated dose of approximately 74 electrons per Å2 over 50 subframes or approximately 1.5 electrons per Å2 per subframe). Images of Ca2+-free (closed) hsSlo1-β4 complex were recorded at a super-resolution pixel size of 0.65 Å and defocus range of 0.7 to 2.0 μm, for 15 s with a subframe exposure time of 300 ms in a dose of approximately 10 electrons per pixel per second (a total accumulated dose of approximately 89 electrons per Å2 over 50 subframes or approximately 1.78 electrons per Å2 per subframe). Images of Ca2+-bound (open) hsSlo1 and Ca2+-free (closed) hsSlo1 were recorded at a super-resolution pixel size of 0.65 Å and defocus range of 0.8 to 2.4 μm for 15 s with a subframe exposure time of 300 ms in a dose of approximately 10 electrons per pixel per second (a total accumulated dose of approximately 89 electrons per Å2 over 50 subframes or approximately 1.78 electrons per Å2 per subframe).
Image processing and map calculation
Request a detailed protocolDose-fractionated super-resolution images were 2×2 down sampled by Fourier cropping for motion correction with Unblur or MotionCorr2 (5×5 patches) (Grant and Grigorieff, 2015; Zheng et al., 2017). The parameters of the contrast transfer function were estimated by ctffind4 or GCTF (Rohou and Grigorieff, 2015; Zhang, 2016). Following motion correction, ~5 k particles from a subset of the images were interactively selected using RELION to generate templates representing different views for automated particle selection with RELION autopicking (Scheres, 2012) or gautomatch (https://www.mrc-lmb.cam.ac.uk/kzhang/). The autopicked particles were manually inspected to remove false positives. The resulting particle images were then subjected to 2D classification in RELION to remove particles belonging to low-abundance classes and to generate projection averages for initial model generation with EMAN2 imposing C4 symmetry (Tang et al., 2007) or cryoSPARC (Punjani et al., 2017).
For the Ca2+-bound (open) conformation of hsSlo1-β4 complex, ~483 k particle images were selected from 5410 micrographs following 2D classification in RELION (Scheres, 2012). Orientation and translational parameters for the ~483 k particle images were then refined with the auto-refine algorithm of RELION, using the EMAN2-generated initial model as a reference. The refined particle images were subjected to RELION’s 3D classification algorithm without a mask, skipping image alignment. Orientation and translational parameters for the 133 k particle images in the best class were refined using the auto-refine algorithm of RELION, resulting in a map with a resolution of 3.8 Å before postprocessing. The refined particle images were subjected to another round of 3D classification without image alignment, resulting in one major class. Orientation and translational parameters for the 118 k particle images in this class were refined using the auto-refine algorithm of RELION. The rotational and translational parameters determined by RELION were used as the input for further refinement by FrealignX, during which the resolution of the reference map used for alignment was limited to 6 Å to minimize over-refinement, resulting in a final map that achieved a resolution of 3.2 Å as assessed by Fourier shell correlation using the 0.143 cut-off criterion (Figure 1—figure supplements 2–3 and Table 1) (Lyumkis et al., 2013; Grant et al., 2018). The final map was sharpened using an isotropic b-factor of −100 Å2 prior to model building and coordinate refinement. To improve the map of the extracellular domain of β4, focused 3D classification around the β4 subunit was performed on the two best classes from the first round of 3D classification. The 62 k particles from the best class were further refined using FrealignX masking around β4, resulting in a final map that achieved a resolution of 3.9 Å as assessed by Fourier shell correlation using the 0.143 cut-off criterion. This focus-refined map was used for initial de novo building of the β4 EC domain.
For the Ca2+-free (closed) conformation of hsSlo1-β4 complex, ~269 k particle images were selected from 3405 micrographs following 2D classification in cryoSPARC (Punjani et al., 2017). Ab initio reconstruction of the 269 k particles (requesting three classes) resulted in two good classes with 198 k particles. Orientation and translational parameters for these particles were refined with the auto-refine algorithm of RELION (Scheres, 2012). The refined particle images were subjected to RELION’s 3D classification algorithm without image alignment. One best class (~43 k particles) out of the requested six classes was refined using the auto-refine algorithm of RELION, resulting in a map that achieved a resolution of 4.2 Å before postprocessing. The rotational and translational parameters determined by RELION were used as the input for further refinement by FrealignX, during which the resolution of the reference map used for alignment was limited to 6 Å to minimize over-refinement, resulting in a final map that achieved a resolution of 3.5 Å as assessed by Fourier shell correlation using the 0.143 cut-off criterion (Figure 1—figure supplement 4 and Table 1) (Lyumkis et al., 2013; Grant et al., 2018). The map was sharpened using an isotropic b-factor of −100 Å2 prior to model building and coordinate refinement.
For the Ca2+-bound (open) conformation of hsSlo1, ~93 k particle images were selected from 1215 micrographs following 2D classification in RELION (Scheres, 2012). Orientation and translational parameters for these particle images were then refined with the auto-refine algorithm of RELION, using the EMAN2-generated initial model as a reference. The refined particle images were subjected to RELION’s 3D classification algorithm without image alignment. One best class out of the requested four classes, accounting for ~30% of the total input, was refined using the auto-refine algorithm of RELION, resulting in a map that achieved a resolution of 4.5 Å before postprocessing. The rotational and translational parameters determined by RELION were used as the input for 40 additional cycles of refinement by FREALIGN, during which the resolution of the reference map used for alignment was limited to 6 Å to minimize over-refinement, resulting in a final map that achieved a resolution of 3.8 Å as assessed by Fourier shell correlation using the 0.143 cut-off criterion (Figure 1—figure supplement 4 and Table 1) (Lyumkis et al., 2013; Grant et al., 2018). The map was sharpened using an isotropic b-factor of −100 Å2 prior to model building and coordinate refinement.
For the Ca2+-free (closed) conformation of hsSlo1, orientation and translational parameters of ~437 k autopicked particle images from 1292 micrographs were refined with the auto-refine algorithm of RELION using an initial model generated from cryoSPARC (Scheres, 2012; Punjani et al., 2017). The refined particle images were subjected to RELION’s 3D classification algorithm without image alignment, requesting six classes. Orientation and translational parameters for the 54 k particle images in the best class was refined using the auto-refine algorithm of RELION, resulting in a map that achieved a resolution of 4.9 Å before postprocessing. The rotational and translational parameters determined by RELION were used as the input for 40 additional cycles of refinement by FREALIGN, during which the resolution of the reference map used for alignment was limited to 7 Å to minimize over-refinement, resulting in a final map that achieved a resolution of 4.0 Å as assessed by Fourier shell correlation using the 0.143 cut-off criterion (Figure 1—figure supplement 4 and Table 1) (Lyumkis et al., 2013; Grant et al., 2018). The map was sharpened using an isotropic b-factor of −200 Å2 prior to model building and coordinate refinement.
Model building and refinement
Request a detailed protocolThe transmembrane domain from the cryo-EM structure of open aplysia Slo1 (PDB 5TJ6) and the X-ray crystal structure of the human Slo1 gating-ring (PDB 3MT5) were docked into the cryo-EM density map of the Ca2+-bound Slo1-β4 complex using UCSF Chimera and then manually rebuilt in Coot to fit the density (Pettersen et al., 2004; Emsley et al., 2010). For the β4 subunit, the cryo-EM density map from a focus-classified and refined class was used for initial de novo building. The two transmembrane helices TM1 and TM2 were built by first placing secondary structure elements into the density. Once the backbone was traced, the sequence was registered by the assignment of large sidechains. The extracellular domain of β4 was built by identifying large sidechains, four pairs of disulfide bonds as well as the two N-glycosylation sites. An essentially complete model of β4 subunit was built with the exception of the very N-terminal six residues (aa 1–6) and C-terminal five residues (aa 206–210) for which no density was visible. The Slo1-β4 model after manual rebuilding in Coot was subjected to real-space refinement in Phenix (Afonine et al., 2018). The final model after a few iterations of real-space refinement and manual rebuilding has good geometry and contains amino acids 16–54, 91–569, 577–615, 681–833, and 871–1056 of the α subunit, and amino acids 7–205 of the β4 subunit (Table 1).
The atomic model of the Ca2+-bound (open) Slo1-β4 complex was used as a starting model for the other three states followed by multiple rounds of manual rebuilding in Coot and real-space refinement with Phenix (Emsley et al., 2010; Afonine et al., 2018). The final models all have good geometry (Table 1). Figures were prepared using PyMOL (Molecular Graphics System, Version 2.2.0 Schrodinger, LLC) and Chimera (Pettersen et al., 2004).
Mutagenesis
HsSlo1EM, wild-type human β4 and β1 subunits were subcloned into a pGEM vector. Guided by the structure, in particular the relative location of the bound lipid molecules, we divided the entire β4 sequence into 10 regions: 1) the unresolved N-terminus (‘N-tail’, aa 1–6); 2) the short loop preceding TM1 (‘N-loop’, aa 7–12); 3) TM1 near the inner membrane leaflet headgroup layer (‘TM1 ILH’, aa 13–19); 4) TM1 near the inner membrane leaflet acyl chain layer (‘TM1 ILA’, aa 20–29); 5) TM1 near the outer membrane leaflet layer (‘TM1 OL’, aa 30–48); 6) EC domain (aa 49–163); 7) TM2 near the outer membrane leaflet layer (‘TM2 OL’, aa 164–180); 8) TM2 near the inner membrane leaflet acyl chain layer (‘TM2 ILA’, aa 181–190); 9) TM2 near the inner membrane leaflet headgroup layer (‘TM2 ILH’, aa 191–205); and 10) unresolved C-terminus (‘C-tail’, aa 206–210) (Figure 4B). Mutants were made by replacing one or more of these 10 regions of β4 mostly with the equivalent residues from the β1 subunit based on the sequence alignment (Figure 2—figure supplement 1A and Table 2). All the mutants were generated using PCR and incorporation of the mutation(s) was verified by sequencing (GeneWiz).
Excised Inside-out patch recordings
Request a detailed protocolThe constructs used for cryo-EM sample preparation: hsSlo1EM, wild-type human β4 and β1 in pEG BacMam vector, were used for measuring the Ca2+ sensitivity of the channel in HEK293T cells (ATCC) in voltage-clamp inside-out patch configuration.
0.5 μg of hsSlo1EM alone or 0.5 μg of hsSlo1EM together with 0.5 μg of human β4 or β1 were transfected into HEK293T cells at about 50–60% confluency using FuGENE HD transfection reagent following manufacturer’s instructions (Promega). Cells were transferred to 30°C after transfection and recordings were carried out 18–24 hr post-transfection.
Pipettes of borosilicate glass (Sutter Instruments; BF150-86-10) were pulled to ~2–3 MΩ resistance with a micropipette puller (Sutter Instruments; P-97) and polished with a microforge (Narishige; MF-83). All recordings were performed at room temperature in voltage-clamp excised inside-out patch configuration with an Axopatch 200B amplifier (Molecular Devices), Digidata 1440A analogue-to-digital converter interfaced with a computer, and pClamp10.5 software (Axon Instruments, Inc) for controlling membrane voltage and data acquisition. The recorded signal was filtered at 1 kHz and sampled at 10 kHz.
The bath solution contained 20 mM HEPES-NaOH, 136 mM KGluconate, 4 mM KCl and 10 mM Glucose, pH 7.4 (adjusted with NaOH) with an osmolarity of ~300 Osm/L. The bath solution supplemented with 2 mM MgCl2 was used as the pipette solution. Solutions used for the Ca2+-titration experiments contained the bath solution supplemented with an increasing amount of CaCl2: 0.5 μM, 2.5 μM, 10 μM, 50 μM. Note here the Ca2+ concentrations refer to the amount of Ca2+ added from a stock of CaCl2, not the free [Ca2+]. Ca2+-titration was achieved with local perfusion using a fast-pressurized microperfusion system (ALA Scientific; ALAVC3 × 8 PP). At each Ca2+ concentration, the ionic current was measured with a voltage-family protocol.
Two-electrode voltage clamp (TEVC) recordings
Request a detailed protocolHsSlo1EM, wild-type human β1, wild-type human β4 and β4 mutants in a pGEM vector were used for expression in Xenopus oocytes. cRNAs were prepared from NdeI linearized plasmids using AmpliCap-Max T7 high yield message maker kit (CELLSCRIPT) and purified with mMESSAGE mMACHINE kit (ThermoFisher Scientific). cRNA concentration was estimated based on agarose gel.
Xenopus oocytes were harvested from mature female Xenopus laevis and defolliculated by collagenase treatment for 1–2 hr at room temperature. Oocytes were then rinsed thoroughly and stored in ND96 solution (96 mM NaCl, 2 mM KCl, 1.8 mM CaCl2, 1.0 mM MgCl2, 5 mM HEPES, 50 µg/ml gentamycin, pH 7.6 with NaOH). Defolliculated oocytes were selected 2–4 hr after collagenase treatment and injected with cRNA the next day. For co-expression of hsSlo1 and β, cRNAs at a ratio of 1: 2 (w:w) were injected. The injected oocytes were incubated in ND96 solution before recording. Recordings were usually carried out 1–2 days post-injection for ionic current measurements. All oocytes were stored in an incubator at 18°C.
All recordings were performed at room temperature in two-electrode voltage-clamp configuration with an oocyte clamp amplifier (OC-725C, Warner Instrument Corp.), Digidata 1550B analogue-to-digital converter interfaced with a computer, and pClamp11.0.1 software (Axon Instruments, Inc) for controlling membrane voltage and data acquisition. The recorded signal was filtered at 1 kHz and sampled at 10 kHz.
Oocytes were recorded with bath solution of either low Ca2+ ND96 recording solution (96 mM NaCl, 2 mM KCl, 0.3 mM CaCl2, 1.0 mM MgCl2, 5 mM HEPES, pH 7.6 with NaOH) or high K recording solution (98 mM KCl, 0.3 mM CaCl2, 1.0 mM MgCl2, 5 mM HEPES, pH 7.6 with NaOH). To investigate voltage-dependent channel activation and deactivation, oocytes were held at either −80 mV for recordings in low Ca2+ ND96 solution or 0 mV for recordings in high K solution, with pulse potential starting from the holding potential and ending between +120 mV and +140 mV in 10 mV increments. The repolarization potential was +40 mV.
Data analysis
Request a detailed protocolFor voltage-dependent channel activation recordings at a series of Ca2+ concentrations in excised inside-out patch experiments, the amount of current at the repolarization step (i.e. tail current), typically measured 4–5 ms after the depolarization step when most of the capacitive current had decayed, was normalized against the maximal current (I/Imax) at that concentration and plotted as a function of the depolarization voltage (I-V plot). This voltage-dependent activation plot was fitted with the two-state Boltzmann function:
where I/Imax is the fraction of the maximal current, V is the depolarization voltage to open the channels, Vm is the voltage at which the channels have reached 50% of their maximal current, F is the Faraday constant, R is the gas constant, T is the absolute temperature, and Z is the apparent valence of voltage dependence.
For the voltage-dependent channel activation recordings made in oocytes with TEVC, the channel activation time course at the depolarization step (100 mV) and the deactivation time course at the repolarization step (40 mV) (typically spanning from 4 to 5 ms after the depolarization step or repolarization step when most of the capacitive current had decayed until the current has reached its steady state) were quantified by fitting with a single exponential function:
All data analysis and fits were carried out with the Clampfit software (Axon Instruments, Inc).
Data availability
The B-factor sharpened 3D cryo-EM density maps and atomic coordinates of the Ca2+-bound (open) hsSlo1-beta4 complex (accession number EMD-21025 and 6V22), the Ca2+-free (closed) hsSlo1-beta4 complex (accession number EMD-21028 and 6V35), the Ca2+-bound (open) hsSlo1 (accession number EMD-21029 and 6V38), and the Ca2+-free (closed) hsSlo1 (accession number EMD-21036 and 6V3G) have been deposited in the Worldwide Protein Data Bank (wwPDB).
-
Protein Data BankID PDB 6V22. Single particle cryo-EM structure of Ca2+-bound (open) hsSlo1-beta4 complex.
-
Protein Data BankID PDB 6V35. Single particle cryo-EM structure of Ca2+-free (closed) hsSlo1-beta4 complex.
-
Protein Data BankID PDB 6V38. Single particle cryo-EM structure of Ca2+-bound (open) hsSlo1.
-
Protein Data BankID PDB 6V3G. Single particle cryo-EM structure of Ca2+-free (closed) hsSlo1.
-
EMDataBankID EMD-21025. Single particle cryo-EM structure of Ca2+-bound (open) hsSlo1-beta4 complex.
-
EMDataBankID EMD-21028. Single particle cryo-EM structure of Ca2+-free (closed) hsSlo1-beta4 complex.
-
EMDataBankID EMD-21029. Single particle cryo-EM structure of Ca2+-bound (open) hsSlo1.
-
EMDataBankID EMD-21036. Single particle cryo-EM structure of Ca2+-free (closed) hsSlo1.
References
-
Real-space refinement in PHENIX for cryo-EM and crystallographyActa Crystallographica Section D Structural Biology 74:531–544.https://doi.org/10.1101/249607
-
Charybdotoxin block of single Ca2+-activated K+ channels. Effects of channel gating, voltage, and ionic strengthThe Journal of General Physiology 91:317–333.https://doi.org/10.1085/jgp.91.3.317
-
Gating and ionic currents reveal how the BKCa channel's Ca2+ sensitivity is enhanced by its beta1 subunitThe Journal of General Physiology 126:393–412.https://doi.org/10.1085/jgp.200509346
-
Properties of single calcium-activated potassium channels in cultured rat muscleThe Journal of Physiology 331:211–230.https://doi.org/10.1113/jphysiol.1982.sp014370
-
Cloning and functional characterization of novel large conductance calcium-activated potassium channel beta subunits, hKCNMB3 and hKCNMB4Journal of Biological Chemistry 275:6453–6461.https://doi.org/10.1074/jbc.275.9.6453
-
BookThe role of non-pore-forming β subunits in physiology and pathophysiology of voltage-gated sodium channelsIn: Ruben P, editors. Handbook of Experimental Pharmacology, 221. Heidelberg, Germany: Springer. pp. 51–89.https://doi.org/10.1007/978-3-642-41588-3_4
-
One number does not fit all: mapping local variations in resolution in cryo-EM reconstructionsJournal of Structural Biology 184:226–236.https://doi.org/10.1016/j.jsb.2013.08.002
-
Dual-mode phospholipid regulation of human inward rectifying potassium channelsBiophysical Journal 100:620–628.https://doi.org/10.1016/j.bpj.2010.12.3724
-
Role of the beta1 subunit in large-conductance ca(2+)-activated K(+) channel gating energetics. Mechanisms of enhanced ca(2+) sensitivityThe Journal of General Physiology 116:411–432.https://doi.org/10.1085/jgp.116.3.411
-
Features and development of cootActa Crystallographica. Section D, Biological Crystallography 66:486–501.https://doi.org/10.1107/S0907444910007493
-
A robust pipeline for rapid production of versatile nanobody repertoiresNature Methods 11:1253–1260.https://doi.org/10.1038/nmeth.3170
-
Purification and reconstitution of the high-conductance, calcium-activated potassium channel from tracheal smooth muscleThe Journal of Biological Chemistry 269:676–682.
-
An extracellular domain of the accessory β1 subunit is required for modulating BK channel voltage sensor and gateThe Journal of General Physiology 139:57–67.https://doi.org/10.1085/jgp.201110698
-
Deglycosylation of the beta1-subunit of the BK channel changes its biophysical propertiesAmerican Journal of Physiology-Cell Physiology 291:C750–C756.https://doi.org/10.1152/ajpcell.00116.2006
-
The beta subunit of the high conductance calcium-activated potassium channel. Identification of residues involved in charybdotoxin bindingThe Journal of Biological Chemistry 273:16289–16296.https://doi.org/10.1074/jbc.273.26.16289
-
Functional reconstitution of a prokaryotic K+ channelThe Journal of General Physiology 111:741–749.https://doi.org/10.1085/jgp.111.6.741
-
Reciprocal modulation between the alpha and beta 4 subunits of hSlo calcium-dependent potassium channelsThe Journal of Biological Chemistry 277:43724–43729.https://doi.org/10.1074/jbc.M205795200
-
Covalent attachment of charybdotoxin to the beta-subunit of the high conductance ca(2+)-activated K+ channel. Identification of the site of incorporation and implications for channel topologyThe Journal of Biological Chemistry 269:23336–23341.
-
Primary sequence and immunological characterization of beta-subunit of high conductance ca(2+)-activated K+ channel from smooth muscleThe Journal of Biological Chemistry 269:17274–17278.
-
Subunit composition of the high conductance calcium-activated potassium channel from smooth muscle, a representative of the mSlo and slowpoke family of potassium channelsThe Journal of Biological Chemistry 269:3921–3924.
-
Differential distribution and functional impact of BK channel beta1 subunits across Mesenteric, coronary, and different cerebral arteries of the ratPflügers Archiv - European Journal of Physiology 469:263–277.https://doi.org/10.1007/s00424-016-1929-z
-
Molecular determinants of BK channel functional diversity and functioningPhysiological Reviews 97:39–87.https://doi.org/10.1152/physrev.00001.2016
-
Conduction and selectivity in potassium channelsThe Journal of Membrane Biology 71:11–30.https://doi.org/10.1007/BF01870671
-
Properties of BK(Ca) channels formed by bicistronic expression of hSloalpha and beta1-4 subunits in HEK293 cellsThe Journal of Membrane Biology 192:141–148.https://doi.org/10.1007/s00232-002-1070-0
-
Location of modulatory β subunits in BK potassium channelsThe Journal of General Physiology 135:449–459.https://doi.org/10.1085/jgp.201010417
-
Likelihood-based classification of cryo-EM images using FREALIGNJournal of Structural Biology 183:377–388.https://doi.org/10.1016/j.jsb.2013.07.005
-
Mechanism of charybdotoxin block of the high-conductance, Ca2+-activated K+ channelThe Journal of General Physiology 91:335–349.https://doi.org/10.1085/jgp.91.3.335
-
Gating mechanism of BK (Slo1) channels: so near, yet so farThe Journal of General Physiology 121:81–96.https://doi.org/10.1085/jgp.20028721
-
Automated electron microscope tomography using robust prediction of specimen movementsJournal of Structural Biology 152:36–51.https://doi.org/10.1016/j.jsb.2005.07.007
-
UCSF chimera--a visualization system for exploratory research and analysisJournal of Computational Chemistry 25:1605–1612.https://doi.org/10.1002/jcc.20084
-
Ancillary subunits associated with voltage-dependent K+ channelsPhysiological Reviews 90:755–796.https://doi.org/10.1152/physrev.00020.2009
-
CTFFIND4: fast and accurate defocus estimation from electron micrographsJournal of Structural Biology 192:216–221.https://doi.org/10.1016/j.jsb.2015.08.008
-
Modes of operation of the BKCa channel beta2 subunitThe Journal of General Physiology 130:117–131.https://doi.org/10.1085/jgp.200709803
-
RELION: implementation of a bayesian approach to cryo-EM structure determinationJournal of Structural Biology 180:519–530.https://doi.org/10.1016/j.jsb.2012.09.006
-
A gating model for the archeal voltage-dependent K(+) channel KvAP in DPhPC and POPE:popg decane lipid bilayersJournal of Molecular Biology 390:902–912.https://doi.org/10.1016/j.jmb.2009.05.062
-
The role of diffusion in enzyme kineticsBiophysical Journal 10:717–727.https://doi.org/10.1016/S0006-3495(70)86331-7
-
HOLE: a program for the analysis of the pore dimensions of ion channel structural modelsJournal of Molecular Graphics 14:354–360.https://doi.org/10.1016/S0263-7855(97)00009-X
-
Inactivating and noninactivating ca(2+)- and voltage-dependent K+ current in rat adrenal chromaffin cellsThe Journal of Neuroscience 15:6110–6123.https://doi.org/10.1523/JNEUROSCI.15-09-06110.1995
-
EMAN2: an extensible image processing suite for electron microscopyJournal of Structural Biology 157:38–46.https://doi.org/10.1016/j.jsb.2006.05.009
-
Cloning and functional expression of two families of beta-subunits of the large conductance calcium-activated K+ channelJournal of Biological Chemistry 275:23211–23218.https://doi.org/10.1074/jbc.M910187199
-
Lipids in the structure, folding, and function of the KcsA K+ channelBiochemistry 41:10771–10777.https://doi.org/10.1021/bi026215y
-
Mechanism of beta4 subunit modulation of BK channelsThe Journal of General Physiology 127:449–465.https://doi.org/10.1085/jgp.200509436
-
Location of the 4 transmembrane helices in the BK potassium channelThe Journal of Neuroscience 29:8321–8328.https://doi.org/10.1523/JNEUROSCI.6191-08.2009
-
Positions of β2 and β3 subunits in the large-conductance calcium- and voltage-activated BK potassium channelThe Journal of General Physiology 141:105–117.https://doi.org/10.1085/jgp.201210891
-
The BK potassium channel in the vascular smooth muscle and kidney: α- and β-subunitsKidney International 78:963–974.https://doi.org/10.1038/ki.2010.325
-
Gctf: real-time CTF determination and correctionJournal of Structural Biology 193:1–12.https://doi.org/10.1016/j.jsb.2015.11.003
-
Regulation of BK channels by auxiliary γ subunitsFrontiers in Physiology 5:401.https://doi.org/10.3389/fphys.2014.00401
Article and author information
Author details
Funding
National Institutes of Health (GM43949)
- Roderick MacKinnon
Howard Hughes Medical Institute
- Roderick MacKinnon
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Acknowledgements
We thank Z Yu and R Huang at the Howard Hughes Medical Institute Janelia Cryo-EM facility for assistance in data collection of the open Slo1-β4 complex structure; M Ebrahim and J Sotiris at the Evelyn Gruss Lipper Cryo-EM Resource Center at Rockefeller University for assistance in data collection of the closed Slo1-β4 complex and open/closed α alone Slo1 structures; thank H Funabiki’s Laboratory (Rockefeller University) for generously providing us frogs, J Sun for help with preparing oocytes; RK Hite (MSKCC) and N Paknejad (MSKCC) for assistance with data processing; EC Brown for comments on the manuscript; and members of the MacKinnon lab and Chen lab (Rockefeller University) for assistance. This work was supported in part by GM43949. RM is an investigator of the Howard Hughes Medical Institute.
Copyright
© 2019, Tao and MacKinnon
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 6,143
- views
-
- 976
- downloads
-
- 100
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Download links
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
Further reading
-
- Structural Biology and Molecular Biophysics
Many voltage-gated potassium (Kv) channels display a time-dependent phenomenon called C-type inactivation, whereby prolonged activation by voltage leads to the inhibition of ionic conduction, a process that involves a conformational change at the selectivity filter toward a non-conductive state. Recently, a high-resolution structure of a strongly inactivated triple-mutant channel kv1.2-kv2.1-3m revealed a novel conformation of the selectivity filter that is dilated at its outer end, distinct from the well-characterized conductive state. While the experimental structure was interpreted as the elusive non-conductive state, our molecular dynamics simulations and electrophysiological measurements show that the dilated filter of kv1.2-kv2.1-3m is conductive and, as such, cannot completely account for the inactivation of the channel observed in the structural experiments. The simulation shows that an additional conformational change, implicating isoleucine residues at position 398 along the pore lining segment S6, is required to effectively block ion conduction. The I398 residues from the four subunits act as a state-dependent hydrophobic gate located immediately beneath the selectivity filter. By mutating I398 to Asparagine, ion permeation can be resumed in the kv1.2-kv2.1-3m channel, which was not a reversion C-type inactivation, since AgTxII fails to block the ionic permeation of kv1.2-kv2.1-3m_I398N. As a critical piece of the C-type inactivation machinery, this structural feature is the potential target of a broad class of QA blockers and negatively charged activators thus opening new research directions towards the development of drugs that specifically modulate gating-states of Kv channels.
-
- Structural Biology and Molecular Biophysics
Kainate receptors are key modulators of synaptic transmission and plasticity in the central nervous system. Different kainate receptor isoforms with distinct spatiotemporal expressions have been identified in the brain. The GluK1-1 splice variant receptors, which are abundant in the adult brain, have an extra fifteen amino acids inserted in the amino-terminal domain (ATD) of the receptor resulting from alternative splicing of exon 9. However, the functional implications of this post-transcriptional modification are not yet clear. We employed a multi-pronged approach using cryogenic electron microscopy, electrophysiology, and other biophysical and biochemical tools to understand the structural and functional impact of this splice insert in the extracellular domain of GluK1 receptors. Our study reveals that the splice insert alters the key gating properties of GluK1 receptors and their modulation by the cognate auxiliary Neuropilin and tolloid-like (Neto) proteins 1 and 2. Mutational analysis identified the role of crucial splice residues that influence receptor properties and their modulation. Furthermore, the cryoEM structure of the variant shows that the presence of exon 9 in GluK1 does not affect the receptor architecture or domain arrangement in the desensitized state. Our study thus provides the first detailed structural and functional characterization of GluK1-1a receptors, highlighting the role of the splice insert in modulating receptor properties and their modulation.