Skip to main content
Nature Communications logoLink to Nature Communications
. 2026 Mar 13;17:3392. doi: 10.1038/s41467-026-70575-0

Structure of a pH-sensitive pentameric ligand-gated ion channel from the Sarcoptes scabies mite

Jessica Kleiz-Ferreira 1,, Marijke Brams 1, Peter J Harrison 2, Casey I Gallagher 1, Mieke Nys 1, Ysaline Donze 3, Andrew Quigley 2, Daniel Bertrand 3, Chris Ulens 1,
PMCID: PMC13065796  PMID: 41820392

Abstract

Scabies is a skin infestation caused by the mite Sarcoptes scabiei and represents a substantial global health burden exacerbated by emerging resistance to ivermectin. An anionic pentameric ligand-gated ion channel from the mite, SsCl, shows pH-sensitivity and is significantly modulated by ivermectin. Here, we use cryo-EM and electrophysiology to explore the pH-sensing mechanisms of SsCl and the impact of ivermectin on channel activity. Structures of SsCl were resolved in closed (pH 6.5) and desensitized (pH 9) states, alongside ivermectin-bound conformations. The desensitized structure adopts an unexpected hourglass conformation, suggesting a gating mechanism closer related to cation-selective channels. Structural analysis and mutagenesis identify extracellular histidine and glutamic acid residues that impact the pH-sensitivity, likely contributing to a broader pH-sensing network. Ivermectin-bound structures reveal pH-dependent modulation, enhancing open-state prevalence at pH 9 and enabling atypical activation at pH 6.5. These findings offer initial insights into SsCl’s pH-sensitivity and ivermectin’s activity, informing next-generation antiparasitic design.

Subject terms: Cryoelectron microscopy, Ion channels in the nervous system, Ligand-gated ion channels, Ion transport


Scabies is a parasitic skin disease with limited treatment options and major global impact. Here, the authors describe structures of a pH sensitive ion channel from the scabies mite, identify residues likely involved in pH sensing, and show pH-dependent ivermectin action and gating impact.

Introduction

pH-sensitive chloride channels (pHCls) are unique members of the pentameric ligand-gated ion channel (pLGIC) family (for review, see ref. 1), which are primarily found in invertebrates like insects2 and arachnids3. These channels are specifically activated by changes in pH, which occur during metabolic shifts or stress responses46. When activated by alkaline pH, they allow the passage of chloride ions through the cell membrane, which helps regulate cellular homoeostasis, maintain ionic balance, and mediate signal transduction4,5,7. Unlike traditional ligand-gated receptors, which have well-characterized binding cavities, the agonist-like region involved in the pH-sensing and its associated gating mechanisms are not well known. Further research on pHCl channels would not only contribute to our understanding of ion channel physiology but also holds promise for the development of targeted treatments against parasitic infections and agricultural pests, due to their selective expression in invertebrates8.

One of the most medically relevant parasitic infestations is scabies, a highly contagious ectoparasitic skin condition caused by Sarcoptes scabiei (itch mite)9. This tiny mite penetrates the upper layer of the skin, where it lays eggs and induces an immune response that leads to intense itching, inflammation, and characteristic skin rashes. The infestation often causes severe discomfort and can lead to secondary complications, such as impetigo, rheumatic fever, and chronic kidney diseases10,11, if left untreated. Scabies is estimated to affect 200-300 million people worldwide, particularly in impoverished communities or crowded environments, such as nursing homes, schools, and dormitories9,12. The World Health Organization has therefore highlighted scabies as a disease of public importance and lists it as a neglected tropical disease13,14.

The standard treatment for scabies involves topical medications, such as permethrin cream, or oral medications like ivermectin (IVM)15. IVM is a broad-spectrum antiparasitic medication originally developed in the late 1970s16,17. Due to its high efficacy and low toxicity, it has since become a cornerstone in the treatment of parasitic conditions in both humans and animals, and was recognized with the 2015 Nobel Prize in Physiology or Medicine18. Its use in mass drug administration campaigns has significantly reduced the prevalence of parasitic diseases and improved public health in endemic regions19. However, the emergence of drug resistance in some parasitic populations20 highlights the need for ongoing research into the activity of IVM at pharmacologically relevant targets, while stimulating the development of new treatments.

IVM binds to chloride channels in the nerve and muscle cells of parasites, causing paralysis and death of the parasite while having minimal effects on human cells21. Its activity was originally characterized using the invertebrate glutamate-gated chloride channel GluCl22, but has since been shown to act on other pLGICs, including GABA receptors23, glycine receptors24, and insect pHCl channels25. However, its exact mechanism of action in Sarcoptes scabiei remains unknown.

One likely target is a pHCl channel identified in Sarcoptes scabiei, SsCl. This channel is closely related to various glycine and pHCl channels from insects (Supplementary Fig. 1 and 2). In particular, SecCl channels, which were originally identified in Drosophila and have been shown to mediate hormone-induced fluid secretion25. SsCl is activated by alkaline environments and modulated by IVM, which acts slowly and pseudo-irreversibly, even at acidic pHs when the channel is closed2,3,7. However, its functional role in Sarcoptes scabiei and how these mechanisms occur remain unknown. SsCl presents an interesting target for future scabies treatments, and an opportunity to explore the poorly understood mechanisms of pHCl channels.

In this study, we employ a combination of structural and functional methods to characterize the molecular mechanism of the pH-sensitive SsCl channel and its modulation by IVM. Using single-particle cryo-electron microscopy (cryo-EM), we determine structures of the receptor in closed, desensitized, and open conformations bound to IVM. Our findings reveal that SsCl adopts the classical architectural fold for a pLGIC; however, its desensitization mechanisms surprisingly resemble cationic channels. Structural analysis identifies possible residues that contribute to the pH-sensing mechanism of SsCl, which are functionally explored using site-directed mutagenesis and electrophysiology. Based on this analysis, a site that we term the binding-like region is interpreted to represent an agonist-like functional region that may form part of a broader network of residues collectively sensing changes in pH and driving associated conformational transitions. This region does not correspond exactly to the traditional orthosteric binding site of other pLGICs26, but is instead located in a proximal area of the extracellular domain known to bind cations in other channels27.

Results and Discussion

Structure determination

The pH-sensitive chloride channel identified in the mite Sarcoptes scabiei (SsCl)3, was engineered to facilitate structural studies. The entire intracellular loop was truncated (131 residues) and replaced with a SQPARAA linker from the prokaryote homologue GLIC, which is the most well-characterized proton-sensitive pLGIC28,29 (Supplementary Figs. 1 and 3). This construct is termed SsClEM. An N-terminal eGFP fusion variant was also employed to screen for expression and solubilization conditions, by using fluorescence-detection size-exclusion chromatography (FSEC)30. This identified n-undecyl-β-D-maltoside (UDM) as the optimal detergent for solubilization (Supplementary Fig. 4).

Functional assays using two-electrode voltage clamp (TEVC) electrophysiology (see methods) confirm that SsCl is activated by alkaline pH. Experiments were also conducted using SsClEM and produced similar results (Supplementary Fig. 5). Therefore, SsClEM was used as the background construct for all additional experiments. SsClEM is activated by alkaline pH in a concentration-dependent manner, remaining closed at pH 6.5 with a half-maximal activation (pH50) at pH 8.5 (Supplementary Fig. 5), similar to previous studies3.

To capture different functional states of SsCl, pH 6.5 and pH 9 were selected for structural analysis based on its pH-dependent activation profile. In this study, SsCl structures in four distinct states were determined by cryo-EM (Supplementary Fig. 6, Supplementary Table 1): (1) SsCl pH 6.5, (2) SsCl pH 9, (3) SsCl pH 6.5 IVM, and (4) SsCl pH 9 IVM; the latter two resolved in the presence of the allosteric agonist ivermectin (IVM) (Fig. 1). The estimated resolutions for the cryo-EM maps are 4.2 Å, 3.1 Å, 3.1 Å, and 3.6 Å, respectively (Supplementary Fig. 7). Cryo-EM density maps were used for interactive model building of a single subunit for each structure. Since SsCl assembles as a homopentamer, an initial subunit was built and refined before applying symmetry to reconstruct the complete pentameric structure. Additional model-building and refinement steps were then performed on the assembled pentamer to further improve structural accuracy and consistency. Despite the lower resolution of the cryo-EM map for SsCl pH 6.5, all four maps allowed nearly the entire protein to be built for each structure, except for a few residues at the N-terminus and/or in the M3-M4 loop (Supplementary Fig. 8, 9). Notably, the TMD of SsCl pH 6.5 shows limited resolution, making detailed side-chain interpretation difficult and warranting careful consideration when analyzing this region (Supplementary Fig. 8a).

Fig. 1. Cryo-EM structures of the SsCl channel in four conformational states.

Fig. 1

Top (side view) and bottom (top view) panels show the cryo-EM density map (left) and atomic model (right) of SsCl under four conditions: a pH 6.5 (closed state); b pH 9.0 (desensitized state); c pH 6.5 with IVM, shown in pink; and d pH 9.0 with IVM, shown in blue. In a, key structural elements, including loops and transmembrane helices, are annotated on the model.

Additionally, in the SsCl structures at pH 9, pH-dependent conformational changes cause the M4 helix to shift closer to the detergent micelle, compromising the resolution in this region. The M4 helices could therefore not be resolved in the pH 9 structures; however, their presence is still visible in the density maps (Supplementary Fig. 10). In general, the M4 helices are flexible and highly exposed to the detergent micelle, leading to lower-resolution densities for this region. Despite this, the M4 helices were built for structures at pH 6.5 (Supplementary Fig. 8a, b). For all structural analyses, the unsharpened cryo-EM raw density maps were examined to minimize bias.

Architecture of the SsCl channel

As observed for all members of the pLGIC family, SsCl forms a cylindrical-shaped receptor composed of five subunits that form a homopentamer. The symmetrical arrangement of subunits creates a central ion-conducting pore, essential for the channel’s function. Each subunit features a large N-terminus that adopts a twisted β-sandwich structure (β1-β10), constituting the extracellular domain (ECD). A conserved disulfide bond between the β6 and β7 strands, a signature of the Cys-loop receptor family31, stabilizes the β-sandwich and aids the overall stability and function of the channel. An additional disulfide bond is also present at the top of the channel, within the first β-sheet. The transmembrane domain (TMD), following the ECD, consists of four α-helical segments (M1–M4) interconnected by loops. The M2 helices line the channel pore and are directly involved in ion conduction and the channel’s gating (Fig. 1a, Supplementary Fig. 11).

In pLGICs, three structural regions coordinate channel activation: (1) the binding pocket within the ECD: including loop C, β-strands of the complementary subunit and loop F; (2) the coupling region at the ECD-TMD interface, including the Cys-loop, pre-M1 segment and M2-M3 linker; and (3) the gating region within the TMD, involving the M2 helices (Supplementary Fig. 11). Typically, agonist binding at the orthosteric binding pocket generates structural changes which induces closure of loop C. This initiates a cascade that transmits through the coupling region to the TMD, where rearrangement of the pore-lining helices ultimately leads to channel opening (for review, see ref. 32).

SsCl stands apart from conventional receptors as it lacks a classical small-molecule agonist. Instead, its activation is governed by changes in pH. This raises a fundamental question: how do shifts in proton concentration translate into conformational changes that activate the receptor?

SsCl undergoes significant conformational rearrangements in response to different protonation states. Comparisons between the structures obtained at pH 6.5 and pH 9 reveal structural differences within or surrounding loop C, suggesting that this region remains important for the activation mechanisms of the channel (Supplementary Fig. 12). Residues in SsCl likely participating in pH-sensing have also been identified within the ECD, as described below.

SsCl also features an allosteric binding site for IVM, which closely resembles the IVM-binding site originally identified in the Caenorhabditis elegans glutamate-gated chloride channel (GluCl)22, indicating a conserved binding mechanism33 (Supplementary Fig. 13).

Allosteric activation by IVM and its dependency on pH

IVM is a semi-synthetic compound originating from the discovery of avermectins, a group of natural macrocyclic lactones produced by the bacterium Streptomyces avermitilis with potent nematicidal activity34. IVM has been shown to modulate a variety of Cys-loop receptors, acting as a potent allosteric agonist and modulator depending on the specific receptor and context22,33,3537.

The SsClEM construct used for structural analyses (Supplementary Fig. 3) was expressed in Xenopus laevis oocytes and functionally characterized using TEVC. IVM was shown to activate the channel at pH 6.5 and produce positive modulation at pH 9, though with notable differences. At pH 6.5, where the channel remains closed, IVM acts as an allosteric agonist and produces a very slow activation of the channel, consistent with previous literature3. In contrast, co-application of IVM with pH 9 elicits a robust and rapid current that reaches 448% of the current induced by pH 9 alone, thus significantly enhancing channel opening under alkaline conditions (Fig. 2). There is an additional rebound current that occurs upon the return to pH 5.35 that is greater than the co-application of both agonists. This rebound reaches 711% of the current induced at pH 9 alone (Fig. 2). IVM is known to act pseudo-irreversibly at pLGICs, and thus, when pH 5.35 is restored, IVM is likely to stay bound for an extended period. This rebound current may be due to IVM transiently stabilizing an exaggerated open state that arises following the removal of activating pH.

Fig. 2. Effect of ivermectin on SsCl.

Fig. 2

a Representative traces from oocytes expressing SsClEM illustrating an application of pH 9 (grey bar) followed by an application of 10 µM IVM (blue bar), assessing IVM’s agonistic activity. b Representative traces illustrating the co-application of 10 µM IVM with pH 9 (grey bar) to evaluate modulatory effects on an uninjected oocyte and an oocyte expressing SsClEM. c Quantification of mean peak currents elicited during pH 9, pH 9 + IVM application, and the peak rebound current that occurs after cessation of pH 9 + IVM application. Data is plotted as mean ± SEM. Statistical comparisons were performed using a one-way ANOVA with Šidák multiple comparison correction. Significance levels are denoted as: ns not significant; * p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001 and ****p ≤ 0.0001. For SsClEM, statistical comparisons between pH 9 (n = 10) and pH 9 + IVM (n = 10) are p < 0.0001; between pH 9 (n = 10) and rebound (n = 10) are p < 0.0001; and between pH 9 + IVM (n = 10) and rebound (n = 10) are p = 0.0004. For uninjected cells, statistical comparisons between pH 9 (n = 5) and pH 9 + IVM (n = 5) are p > 0.9999; pH 9 (n = 5) and rebound (n = 5) are p > 0.9999; and between pH 9 + IVM (n = 5) and rebound (n = 5) are p = 0.8910. Source data for panel c is provided as a Source Data file.

SsCl structures at both pH 6.5 and 9 reveal IVM binding at the subunit interface in the upper TMD. It occupies a pocket formed by M2 and M3 of a principal subunit (+) and M1 of a complementary subunit (-) (Fig. 3a). This binding mode closely resembles that observed in the GluCl channel22 (Supplementary Fig. 13), glycine receptors3639 and α7 nAChR35, suggesting a conserved binding mechanism across Cys-loop receptors22,33.

Fig. 3. Ivermectin binding site and molecular interactions in SsCl.

Fig. 3

a Superimposition of SsCl structures at pH 6.5 (yellow and pink) and pH 9.0 (purple and blue) in complex with IVM. b Surface representation of the IVM-binding pocket in the pH 6.5 structure, coloured by hydrophobicity (yellow, hydrophobic; white, neutral; blue, hydrophilic) in ChimeraX; IVM is shown in pink. c Side view of the TMD of the structure at pH 6.5 with IVM, showing the residues forming the IVM-binding pocket, and the residues at conserved positions that interact with IVM (S260, L218, and V285). d Two-dimensional chemical structure of IVM showing key molecular interactions with the SsCl channel. Hydrogen bonds (H-bonds) are indicated in blue dotted lines, and van der Waals (VDW) interactions in green. The hydrophobicity profile of the pocket is visualized relative to the IVM structure. The more solvent-exposed disaccharide region of IVM is located near the hydrophilic region of the pocket, light blue, while the cyclohexene and cyclic ether moieties are buried within the hydrophobic region of the pocket, dark yellow. e Table listing the amino acid residues forming the IVM-binding pocket in SsCl. Conserved interacting residues are marked in bold with an asterisk (*). Lys264, which adopts different orientations at pH 6.5 and pH 9.0, is marked with a hash symbol (#). f Top view of the pH 6.5 structure showing IVM nestled within the binding pocket. g Top view of the superimposed structures at pH 6.5 and pH 9.0 with IVM, showing the distinct conformations of Lys264 (silhouette).

The IVM binding pocket is primarily comprised of hydrophobic residues, which interact with IVM through van der Waals forces. Two key conserved residues, a hydrophobic L218 and a polar uncharged S260, known for their role in IVM binding in GluCl22, are also present in SsCl and contribute to IVM binding and stabilization. L218 contributes with its backbone forming a hydrogen bond with O(13) of the benzofuran moiety of IVM, while its side chain engages in van der Waals interactions with C37, near the benzofuran (Fig. 3b–f, Supplementary Fig. 14). In GluCl, a third conserved residue, T285, forms a hydrogen bond with the spiroketal group of IVM22. However, SsCl has a valine (V285) at this position, which engages in a van der Waals interaction with C7 of the spiroketal (Fig. 3b–f).

Interestingly, a lysine residue (K264) located near the IVM binding pocket alters orientation significantly with pH. At pH 9, K264 orients toward the pocket and likely forms a hydrogen bond with atom O(9) of IVM’s cyclic ether moiety. This interaction draws the IVM’s cyclohexene ring closer to S260, enabling it to form a hydrogen bond with atom O(10) of the cyclohexene. At pH 6.5, K264 adopts an opposing orientation and no longer interacts with IVM. This causes S260 to instead interact with O(9) rather than O(10). These pH-dependent conformational changes result in a stronger interaction between S260 and IVM at pH 9 (1.93 Å) compared to pH 6.5 (2.61 Å) (Fig. 3d, e, g, Supplementary Fig. 15). This may contribute to the increased efficacy of IVM under alkaline conditions (Fig. 2). Moreover, the IVM binding pocket becomes more electronegative under alkaline conditions, specifically in the deepest cavity where the cyclohexene and cyclic ether interact (Supplementary Fig. 16). This may also contribute to the pH-dependent effects of IVM.

Ion-conducting pathway and selectivity

SsCl features a central ion-conducting pathway along its five-fold symmetric axis lined by the M2 helical segments from each subunit. Changes in pH and IVM binding both significantly impact the overall conformation of the pore, leading to distinct ion conduction behaviours (Fig. 4, Supplementary Fig. 17).

Fig. 4. Ion conduction in four SsCl states.

Fig. 4

a Pore radius profile plotted in Å (x-axis) as a function of longitudinal distance along the channel axis (y-axis), computed using HOLE software and plotted in GraphPad Prism. be Pore regions rendered as light grey spheres, overlaid with M2 helices and pore-facing residues shown as sticks. Dashed lines mark the 16′, 9′, and –2′ positions, with corresponding radius values indicated. fi Top views of the pore at the 9′ position, highlighting L254 side chains (sticks). Distances between L254 residues across adjacent subunits are shown with yellow dashed lines.

At pH 6.5, the channel adopts an hourglass conformation, with the narrowest constriction occurring in the center of the TMD near position 9’ (L254), with a pore radius of 1.9 Å (Fig. 4a, b, f). As a chloride ion has a Pauling radius of 1.8 Å and a radius of 3.2 Å when fully solvated40, a pore radius of this size is insufficient for chloride permeation. Accordingly, we assign this structure to the closed state. Importantly, the pore region of this structure was interpreted with caution due to limited detail at 4 Å global resolution, with the local resolution of the TMD region, including the M2 helices, being lower, around 5 Å (Supplementary Fig. 7a). As a result, side-chain placements in this region could not be confidently assigned, and both raw and sharpened maps were considered to guide careful interpretation of pore radius.

At pH 9, the narrowest constriction point remains at position 9’ but increases slightly to 2 Å (Fig. 4a, c, g), also insufficient for ion permeation. Given that the channel is functionally active at pH 9 (Supplementary Fig. 5), yet the structure exhibits a constricted pore, this conformation likely represents a desensitized state resulting from prolonged exposure (>1 day) to activating pH during purification.

When the desensitized structure is viewed from the extracellular side, the M2 helices exhibit a rotational movement relative to the closed state: L254 (9′) rotates clockwise, while P243 (–2′) rotates counterclockwise. This local rotation causes an ‘unwinding’ effect at P243, producing the widest pore radius (5.8 Å) observed among all SsCl conformational states (Supplementary Movie 1). Despite this localized movement, the M2 helices largely remain in place, showing minimal translational displacement. Interestingly, the ECD, M1, and M3 helices undergo a concerted compression resulting in a global compaction of the channel that is distinct to the desensitized state (Supplementary Movie 2, Supplementary Fig. 17).

Strikingly, the desensitization mechanism in SsCl differs from the canonical behaviour reported for other anionic Cys-loop receptors41,42. These receptors typically display a V-shaped TMD pore, with a bottom-up constriction-to-expansion profile. In contrast, SsCl at pH 9 adopts an hourglass shape, with its narrowest constriction at the midpoint of the TMD (9’) and expanding toward both the ECD and the bottom of the TMD, resembling the closed state (Fig. 4b, c). A similar conformation was recently reported for the desensitized state of α7 nAChR, in which the desensitization gate occurs at position 9’35,43. These findings suggest the desensitized conformation of SsCl closely resembles that of the cationic α7 nAChR, rather than the desensitized conformations reported for other chloride channels.

The impact of IVM on the pore was also examined and was found to significantly increase the overall pore radius at both pHs. This is due to the intercalation of IVM between adjacent M1 (-) and M3 (+) subunits that causes a physical separation of the TMD. Comparing the two structures at pH 6.5, the pore radius at position 9’ increases markedly from 1.9 Å to 5.6 Å in the presence of IVM (Fig. 4a, b, d, f, h), which is sufficient to accommodate chloride ions. In the presence of IVM, the channel exhibits its narrowest constriction at the bottom of the pore, specifically at the selectivity filter at P243 (–2’), where the radius narrows to 2.6 Å (Fig. 4a, d). Although this is below the radius typically required for a fully solvated chloride ion, we hypothesize that the positive electrostatic potential from the M2 helix dipole may reduce the energy barrier at this site, thereby allowing limited ion permeation. A similar constriction is observed in GlyR structures resolved in complex with glycine and IVM, where the narrowest pore radius also occurs at position –2’. The authors suggest these structures represent intermediate states between open and desensitized conformations38. Moreover, the functional data show that SsCl activation by IVM at pH 6.5 is modest and especially slow (Fig. 2). This can likely be attributed to the pore architecture in this state, characterized by a constricted lower region alongside an unusually wide upper pore. Such a configuration may hinder optimal chloride ion stabilization and coordination throughout permeation.

Additional comparisons between the IVM-bound structures reveal that the pore expansion at position 9’ is more moderate at pH 9, where the radius only reaches 3.8 Å, 1.8 Å smaller than at pH 6.5 with IVM. Differences are also observed at position –2′. At pH 9 with IVM, position –2′ exhibits a wider pore radius of 4.1 Å, sufficient for chloride ion permeation. Interestingly, the narrowest constriction shifts upward, occurring at position 2′ (T247) with a radius of 2.7 Å. This shift may contribute to stabilizing and coordinating chloride ions to facilitate ion permeation (Fig. 4a, d, e, h, i), which is consistent with functional data showing that IVM more effectively activates the channel at alkaline pH. Taking these observations together, we hypothesized that the mode of IVM action is influenced by pH-dependent conformational changes in SsCl, which in turn affect the architecture and dynamics of the pore. The structural variability aligns with functional data, indicating that IVM, in combination with pH 9, results in more efficient channel opening compared to pH 6.5 (Fig. 2).

To better understand the structural basis for gating behaviour, the conformational changes at position 9’ were examined across all structures. Position 9’ has long been recognized as a critical determinant in pore gating. In an early 1995 study on the α7 nAChR, the leucines at 9’ were highlighted as key gate-forming residues and named the leucine-ring. The author proposed that bending of the M2 helices toward the central axis of the pore orients the leucines inward, forming a hydrophobic constriction that occludes ion conduction44. Recent studies have further reinforced these findings43,45. A similar mechanism is observed in SsCl: At pH 6.5, the L254 side chain faces the channel pore, and upon channel opening with IVM, L254 rotates clockwise (extracellular view) to the side away from the pore axis, relieving the hydrophobic barrier and permitting ion flow (Fig. 4 f, h, I, Supplementary Fig. 18). Interestingly, in the desensitized state, this position resembles that of the closed state. L254 orients toward the pore, though slightly less pronounced, restoring the hydrophobic gate (Fig. 4g, Supplementary Fig. 18).

SsCl contains the proline-alanine-arginine motif, a highly conserved feature of the Cys-loop receptor family that plays a key role in the anion selectivity filter46. Typically, Pro and Ala residues located at the bottom of the TMD pore are crucial for anion selectivity as described in the literature22,46. In SsCl, these residues correspond to P243 (−2’) and A244 (−1’) (Fig. 4b-e).

Inspection of the cryo-EM map of SsCl at pH 9 with IVM revealed a density consistent with a chloride ion within the selectivity filter, near T251 (6′) and above T247 (2′). The distances between the fitted ion and surrounding residues suggest an interaction with the hydroxyl oxygen of T251’s side chain (Supplementary Fig. 19). This, together with the relatively constricted pore in this region, may be crucial in coordinating the ion as it moves through the channel. In GluCl, a density corresponding to the chloride ion was also found near the same position (6’) with similar distances as in SsCl22.

To further investigate the selectivity of the SsCl channel for chloride ions, the continuum electrostatic potential was analyzed using the APBS. Importantly, due to resolution limitations, ions were not built into the structures. Nonetheless, the ionic environment was included in the calculations (see Method). These calculations were performed for the SsCl structures at pH 9, at the pH at which the structure was determined. Following prolonged exposure to alkaline conditions (pH 9), the pore adopts a desensitized state with a constriction at position 9’. This is accompanied by a shift in its electrostatic potential where the pore becomes almost entirely electronegative (Supplementary Fig. 20a). This creates an unfavourable environment for chloride ion permeation, further supporting the assignment of the pH 9 structure to a desensitized state.

Unexpectedly, in the pH 9 IVM-bound structure, the entire ECD and the upper regions of the TMD exhibit a strong electronegative potential, which would be expected to repel anions and attract cations (Supplementary Fig. 20b, d). Nonetheless, chloride conduction is facilitated by the local pore geometry, the presence of water molecules, and screening by counterions, which together modulate the effective electrostatic potential along the conduction pathway. From this perspective, the more expanded ECD in this structure, combined with its negative electrostatic surface potential, may help organize chloride ions at the vestibule and regulate their flow into the pore. Among the pore-lining residues within the TMD, only one positively charged residue, K261 (16’), is present (Fig. 4b–e). Beyond K261, the electrostatic potential shifts to a more neutral state and becomes increasingly electropositive from T258 (13’) downward. The electropositive potential in the lower TMD arises from the dipole moment of the M2 α-helices that line the pore47,48, as the majority of pore-lining residues are polar but not charged (Supplementary Fig. 20b).

Taken together, these analyses allow us to define four distinct conformational states of the SsCl channel structures here determined: (1) a closed state at pH 6.5, (2) a desensitized state at pH 9, (3) a partially open state at pH 6.5 in the presence of IVM, and (4) an open state at pH 9 with IVM.

Structural basis for pH-sensing and channel activation

To investigate the pH-sensing mechanisms of SsCl and to identify possible residues participating in channel gating, we combined an initial PROPKA49-based screening of titratable residues with detailed structural analysis and direct comparisons between the two pH states (see Method). A cluster of residues within and near the binding-like region, which is a functionally important site in other Cys-loop receptors, was identified for further experimental investigation.

The candidate residues cluster predominantly within the β7, β9, and β10 strands, forming the binding-like region. This site is characterized by a central, linear arrangement of three histidine residues H206 (β10), H208 (β10) and H187 (β9), flanked by two glutamic acids E146 (β7) and E142 (β7) and surrounding polar residues which may further support local proton exchange dynamics (Fig. 5a, b, Supplementary Fig. 21, Supplementary Table 2). In this region, a conserved histidine analogous to H208 in SsCl, has also been shown to coordinate zinc binding in glycine receptors, which produces positive modulation of the channel27,50.

Fig. 5. pH-sensing and structural mechanism of channel activation in SsCl.

Fig. 5

a Side view of the principal (light grey) and complementary (dark grey) subunits, with key residues depicted as spheres: (1) binding-like region residues (magenta) and additional residues contributing to the pH-sensing network (light pink); (2) phenylalanine residues at the coupling interface (green); (3) L254 at the 9’ position of the pore gate (light blue); (4,5) Other residues proximal to the canonical binding region implicated in activation (dark blue and brown). Structural elements are colour-coded: Cys-loop (yellow), M2-M3 loop (dark purple), loop C (salmon), and loop F (dark red). b Superposition of structures at pH 6.5 (green) and pH 9 (blue), highlighting the residues (sticks) that composed the binding-like region. c Coupling region side view showing the phenylalanine residues (sticks, near the E142) proposed to mediate channel gating. Inset: superposition of pH 6.5 (green), pH 9 (blue), and pH 9 with IVM (purple) structures, illustrating aromatic interactions that induce displacement of the M1 and M2 helices, most prominent in the IVM-bound open state. d Top-down view of the superposed structures (pH 6.5, green; pH 9, blue; pH 9 with IVM, purple), with L254 (9’), F213, and F140 shown as sticks. Movements of M1 and M2 helices are indicated by arrows (black, upper segment; light red, lower segment). e, f Superposition of pH 6.5 (green) and pH 9 (blue) structures, highlighting residues near loop C that contribute to the activation mechanism.

In SsCl, H206 (β10) and E146 (β7) are predicted to be central and key residues within the binding-like region. They form an ionic interaction that is sensitive to pH-dependent protonation states. At acidic conditions (pH 6.5), H206 is protonated, allowing it to form an ionic bond with the negatively charged E146. At alkaline pHs (pH 9), H206 becomes deprotonated and electrically neutral, disrupting this electrostatic interaction. This transition likely weakens the structural coupling between β10 and β7, increasing the flexibility of the β7 strand, which contains the conserved Cys-loop disulfide bond. At alkaline pH, H206 and E146 may still interact via van der Waals forces and contribute to the overall structure; however, these interactions are considerably weaker than the original ionic bond (Fig. 5b).

Beyond this central interaction, other residues within the binding-like region, including H208 (β10), H187 (β9), and E142 (β7), are also affected by pH changes through deprotonation and/or altered hydrogen bonding and may play a supportive role. Hydroxyl-containing side chains, such as those of S185 (β9) and T144 (β7), may further help to the local hydrogen-bonding network, also influencing the overall dynamics under different pH conditions (Fig. 5a, b).

Disruption or weakening of interactions within the binding-like region, particularly those located at β10 and β7, induces a local clockwise twist at the end of β7 that propagates to the ECD–TMD interface (coupling region) (Supplementary Movie 3). This displaces the Cys-loop, which impacts interactions between aromatic residues that appear to be important for conformational rearrangements. For instance, a π–π interaction between F140 on the Cys-loop and F213 on the M1 helix transitions from T-shaped in the closed structure to a more parallel, off-centered stacking geometry, observed in the opened structure51 (Fig. 5c). This rearrangement increases the overlap between their π-electron clouds, potentially introducing repulsive forces, which consequently drives a clockwise rotation (extracellular view) of the upper M1 helix. This motion is coupled to the adjacent M2 helix (gating region), which undergoes a gear-like rotation. The upper segment containing position 9’ rotates clockwise while the lower segment rotates counterclockwise (extracellular view) (Fig. 5d, Supplementary Movie 4). In the structures determined with IVM, the entire TMD undergoes an additional rigid-body clockwise rotation (extracellular view) (Supplementary Movie 5). We propose that these coordinated helical and domain-level motions collectively drive pore expansion, ultimately facilitating channel opening.

Interestingly, the β7 twist occurs not only in structures at pH 9, but also at pH 6.5 when IVM is bound (Supplementary Movie 6). This suggests that the β7 twist is necessary for channel opening, even under acidic conditions where the H206–E146 ionic bond is present. IVM may physically enforce the β7 twist, overcoming the bonds’ stabilizing effect and contributing to the slower, less efficient channel activation. This contrasts with channel activation at pH 9, where the H206–E146 bond is disrupted, and channel activation is more efficient (Fig. 2). We therefore hypothesize that pH-sensing and the associated conformational changes in the presence of IVM exert a modulatory effect on channel gating, tuning its efficiency rather than acting as a strict binary (on/off) agonist-like mechanism. IVM acts as an allosteric agonist, with its efficacy modulated by the pH-dependent conformational landscape of the channel.

Site-directed mutagenesis was performed to assess the functional contribution of these residues to the channel gating. TEVC recordings reveal that H206 and E146 exhibit significantly elevated pH50 values compared to WT when mutated to alanine. Interestingly, mutation of H187 and H208, which are predicted to provide a supporting role in the pH-sensor region, show reduced pH50 values; however, these did not reach significance (Fig. 6, Supplementary Fig. 22). To further explore the importance of the histidine residues for pH-sensing, double-mutations at positions H206 and H187 were examined. When mutated to alanine (H206A/H187A), the channel retains pH-sensitivity; however, the concentration-response curve is greatly impacted due to a reduction in Hill slope value. Interestingly, mutating both positions to cysteine abolishes pH-sensitivity but retains significant currents in response to IVM, including the observed rebound current (Fig. 6d-f, Supplementary Fig. 22). This highlights the possible importance of these residues for pH-sensing and suggests that the flexibility of the β-strands could contribute to the mechanistic cascade.

Fig. 6. Mutagenesis alters the pH sensitivity of SsCl.

Fig. 6

Concentration-response curves for SsClEM (n = 4) and SsClEM containing single-point mutations in (a) the loop-C region: R122A (n = 4), E155A (n = 3), and E198A (n = 3); and b the binding-like region: E142A (n = 3), E146A (n = 3), H187A (n = 3), H206A (n = 3), and H208A (n = 3). Data in panels a and b were fitted using a modified Hill equation with a variable-slope linear regression model. c Mean pH50 values derived from linear regression of individual cells and analyzed by one-way ANOVA with Fisher’s LSD test. Statistical comparisons between SsClEM and: E146A (p = 0.0142), H187A (p = 0.0817), H206A (p = 0.0263), R122A (p = 0.0458), H208A (p = 0.3653), E142A (p = 0.1496), E155A (p = 0.1108), and E198A (p = 0.7308). d Concentration-response curves for SsClEM (n = 4) and H206A/H187A (n = 4), fitted as in a and b panels. e Representative traces from oocytes expressing H206C/H187C showing responses to pH 9 alone or co-applied with 10 µM IVM. f Quantification of mean peak currents elicited by pH 9, pH 9 + IVM, and the rebound current following cessation of pH 9 + IVM for SsClEM (n = 10), and H206A/H187A (n = 3). Statistical comparisons were performed using multiple unpaired two-tailed t-tests with a false discovery rate (two-stage linear step-up procedure of Benjamini, Krieger, and Yekutieli). SsClEM versus H206A/H187A: pH 9 (p = 0.001369), pH 9 + IVM (p = 0.003678), rebound (p = 0.005664). For panels a-d and f, data are presented as mean ± SEM. Significance: *p ≤ 0.05. Source data for panels a-d and f are provided as a source data file.

Whether this series of protonation-dependent rearrangements represents the primary mechanism for pH-sensing and channel activation remains an open and intriguing question. Whilst the structural and functional data suggest H206 and E146 play a role in pH-sensing, these residues likely act in concert with other modulatory elements to form a broader pH-sensing network, inviting further structural and functional exploration of the binding-like region, and other sites throughout the structure. Notably, these residues are not well conserved across pLGIC and related pH-sensitive channels (Supplementary Fig. 1). Sequence alignment revealed that H206 in β10 of SsCl is occupied by polar, uncharged residues in SecCl, GluCl, GLIC, and GABA receptors. By contrast, in insect pHCl, human GlyR52, and the prokaryotic channel sTeLIC53,54, each known to be pH-sensitive, this site is substituted by charged residues. The E146 in β7 of SsCl is not conserved among these channels, but rather predominantly polar, uncharged residues or proline, except for GLIC, which contains a histidine at this position that is believed not to be implicated in pH sensing55. In sTeLIC, the equivalent position is occupied by a phenylalanine (Supplementary Fig. 1).

Extending our observations on channel activation and functioning, electrophysiological recordings showed that SsCl activity is modulated by extracellular divalent cations. Both Zn²⁺ and Ca²⁺ inhibit currents evoked under alkaline conditions (pH 9) in a concentration-dependent manner, with calcium producing the stronger inhibition (Supplementary Fig. 23). Thus, while alkaline pH serves as the principal gating stimulus, SsCl function is subject to additional regulation by divalent ions. This interpretation is consistent with previous work reporting no agonistic effect of Zn²⁺ on SsCl3. In addition, in GlyR, Zn²⁺ coordinates, among other residues, with a histidine and a threonine at positions equivalent to H208 and T144 in SsCl. Notably, the histidine equivalent to H208 in GlyR directly interacts with Zn²⁺, suggesting that this site may represent a conserved spot for zinc binding52.

In addition to the binding-like region, other structural changes were observed, particularly within the ECD. Comparison of all SsCl structures reveals a significant conformational shift involving β10 (near loop C) of the primary subunit and β6 of the complementary subunit. At the intersubunit interface, the residues E198 (β10) and R122 (β6) form an ionic interaction in the partially opened, opened, and desensitized states, which is absent in the closed state. This interaction may be important for the movement of loop C and ultimately channel opening. In addition, E155 in the β7–β8 loop bends toward loop C in the partially open, open, and desensitized states (Fig. 5e, Supplementary Fig. 24, 25). Alanine substitution of R122 was shown to significantly increase the pH50, supporting its contribution to ECD movements and channel opening (Fig. 6). The complementary E155A mutation was conversely found to reduce the pH50.

Similar movements in loop C have been reported for multiple Cys-loop receptors and linked to channel activation32,43. Loop C typically adopts an outward-facing conformation in the closed state and moves inward to cap the canonical binding site upon agonist binding, or in the case of SsCl, in response to pH changes (Supplementary Fig. 26). In SsCl, the ECD also adopts an overall more compact arrangement in the partially open, open, and desensitized states compared to the closed state (Supplementary Movie 7).

Below loop C, an additional hydrophobic interaction is observed between M194 from loop C and M169 from loop F of the complementary subunit. This interaction appears to stabilize the ECD at acidic pH, as it is present only in the structures at pH 6.5. At pH 9, these residues are positioned farther apart, suggesting that the pH-induced conformational changes disrupt this interaction (Fig. 5f, Supplementary Fig. 24). Furthermore, Loop F exhibits pronounced movement in the partially open and open states, but not in the desensitized state. Specifically, R171 within loop F moves inward, towards the traditional orthosteric binding-pocket (Supplementary Movie 8). Loop F is a critical component of the ligand-binding region, contributing to the complementary face of the orthosteric site in Cys-loop receptors.

The structural observations and functional results outlined above provide initial insight into the distinct pH-sensing and gating mechanisms of SsCl. Collectively, these results highlight a cluster of histidine and glutamic acid residues within the binding-like region of the ECD that influence pH sensing and are predicted to form an important component involved in responding to pH changes. pH-induced activation is also associated with conformational changes throughout the ECD, including loop C and loop F, which are known to contribute to ligand binding and channel gating across pLGICs. Moreover, the binding-like region is likely part of a broader pH-sensing network distributed throughout the channel. To fully understand the complexity of pH sensing and the mechanism of pH-dependent channel activation, additional studies exploring other regions of the channel will be required.

In summary, SsCl is an atypical member of the pLGIC family. It is an anionic chloride-channel activated by alkaline pH in a concentration-dependent manner. SsCl only shares a low sequence conservation with its nearest relatives, such as insect pHCls and the invertebrate GluCl. Despite this, it adopts an architectural fold that is typical for the pLGIC family and shares some similar gating mechanisms, including a pore constriction at the 9’ position in the closed state. An important feature of SsCl is the predicted pH-sensing residues within the binding-like region, where non-conserved histidine and glutamic acid residues contribute to pH-dependent channel activation. This region is likely part of a broader pH-sensing network that requires further investigation. IVM can also activate the channel by binding within the TM domains in a similar binding mode to the one observed in GluCl, indicating a common mechanism of ligand recognition. Structurally, IVM greatly widens the pore radius, thus facilitating the flow of chloride ions through the channel. However, distinctive conformations are observed that depend on the pH environment. At pH 6.5 in the presence of IVM, the pore constricts around the selectivity filter, thus limiting ion flow. In contrast, at pH 9 with IVM, the pore is wide open. A summarized view of the SsCl structural states is shown in Fig. 7. Another unusual feature in SsCl is the electrostatic surface potential. It is predominantly electronegative in the ECD and upper part of TMD; however, it becomes neutral about halfway down the pore and is positive near the selectivity filter. The helix dipole effect likely contributes to lowering the energy barrier for ion permeation through the constriction of the selectivity filter. Collectively, these findings highlight structural and functional features of SsCl, and provide initial insights into the channel’s mechanisms, which warrant further investigation. These findings could inform the development of novel and more effective therapeutics targeting scabies.

Fig. 7. Structural states of SsCl.

Fig. 7

Cartoon representations of two subunits for each structure are shown, with TM2 depicted as cylinders to highlight the overall pore architecture. SsCl at pH 6.5 in the closed state (green) and at pH 9 in the desensitized state (blue) exhibit an hourglass-shaped M2 helix pore. SsCl at pH 6.5 in the presence of IVM (yellow) adopts a partially open conformation with V-shaped M2 helices. SsCl at pH 9 with IVM (purple) displays an open conformation characterized by a lower-kinked M2 helix pore. Images were generated using UCSF ChimeraX and Adobe Illustrator.

Methods

Ethical Statement

Ovaries were harvested from Xenopus laevis female frogs following procedures established with the Geneva Canton agreement. Frogs were obtained from the TEFOR PARIS SARCLAY Institut des Neurosciences, bât. 151, 151 route de la Rotonde 91400 Sarclay, France. Experiments were conducted in Geneva with the authorization from the animal care 34485 GE177.

SsCl cloning, expression, and purification

The plasmid encoding SsCl (GenBank ABV02573.1) in the vector pT7TS3 was a gift from Joseph A. Dent, McGill University, Montreal, Canada. For expression screening, we subcloned the SsCl sequence into a modified pFastBac vector containing an N-terminal signal sequence from Lymnaea stagnalis AChBP56, an 8xHis-tag, GFP, a thrombin cleavage site, a site for ligase-independent cloning (LIC)57 and a C-terminal Strep-tag II site. The mature SsCl sequence N28-L489 was cloned into the LIC site and used for initial construct design. To improve protein stability, we truncated the intracellular M3-M4 loop (residues E331-E464) and replaced it with the linker sequence SQPARAA from the prokaryotic homologue GLIC29. We termed this construct SsClEM. The resulting GFP-fusion construct was employed to optimize expression in Sf9 insect cells using the Bac-to-Bac expression system (Invitrogen). Detergent screening was performed using FSEC30 and n-undecyl-β-D-maltoside was identified as a suitable detergent for SsCl solubilization. For large-scale expression, we subcloned SsClEM in pFastBac as a fusion protein with maltose-binding protein (MBP). A thrombin cleavage site was engineered between MBP and SsClEM. Protein expression was induced in 600 mL cell culture volume with an Sf9 insect cell density of 2–3 × 106/mL. 2 mL of P3 baculovirus was added to the culture and incubated for 4 days at 28 °C in a rotary shaker/incubator at 80 RPM.

3.6 L Sf9 insect cell culture expressing MBP-SsClEM was harvested by centrifugation at 10,000 g for 10 min at 4 °C. The resulting cell pellet was resuspended in a volume two times the wet pellet weight (v/w) of cell lysis buffer containing 50 mM Na-phosphate buffer and 150 mM NaCl, pH 8 supplemented with 1 mM PMSF, 0.1 mg/mL DNase, 0.5 mM MgCl2, 1 μg/mL pepstatin, 1 μg/mL leupeptin and 1 μg/mL aprotinin. Cells were lysed by 2 passages through an Emulsiflex C-5 high-pressure homogenizer (Avestin) at a maximum pressure of 1500 bar. Membranes were isolated by ultracentrifugation at 125,000 g for 1 hour at 4 °C. The membrane pellet was resuspended in 40 mL buffer containing 50 mM Na-phosphate buffer and 150 mM NaCl, pH 8. The membranes were solubilized by adding 2% n-undecyl-β-D-maltoside (Anagrade, Anatrace) for 2 hours at 4 °C. The solution was cleared by centrifugation at 30,000 g for 45 min at 4 °C. The clear supernatant was loaded on a 3.6 mL pre-washed amylose resin column (New England Biolabs). The column was washed with 10 column volumes of wash buffer containing 50 mM Na-phosphate buffer, 150 mM NaCl, pH 8, and 0.15% n-undecyl-β-D-maltoside. The protein was eluted with 5 column volumes of elution buffer containing 50 mM Na-phosphate buffer, 150 mM NaCl, pH 8, 0.15% n-undecyl-β-D-maltoside, and 50 mM maltose. The eluted fractions were analysed by SDS-PAGE and pooled. 250 units of thrombin (Calbiochem) were added to cleave the MBP-SsClEM fusion protein and incubated overnight at 4 °C. The resulting fraction was concentrated to 0.5 mL on an Amicon concentrator with a molecular weight cut-off of 100 kDa. This fraction was then loaded on a Superose 6 Increase 10/300 GL gel filtration column (Cytiva) pre-equilibrated with a running buffer containing 10 mM bis-trispropane at pH 9 or 6.5, 150 mM NaCl, and 0.15% n-undecyl-β-D-maltoside. The eluted fractions were analysed by SDS-PAGE and pooled. The resulting fraction was concentrated on an Amicon concentrator with a molecular weight cut-off of 100 kDa. This solution was then directly used to prepare EM grids. For the determination of the IVM-bound structures, 10 μg/mL IVM was added during all purification steps starting from solubilization.

Cryo-EM sample preparation

Cryo-EM grids were prepared using QUANTIFOIL® R 1.2/1.3 holey carbon films on 300 mesh copper supports. Before the sample application, grids were glow-discharged for 60 s at 0.39 mBar and 15 mA, using a PELCO easiGlow™ Glow Discharge System. Subsequently, 3 μL of purified protein sample ranging from 2 to 3 mg/mL was applied to each grid, which was then blotted for either 5.4 or 5.6 s at 4 °C and 95% relative humidity using a Leica EM GP2 automatic plunge freezer. Grids were immediately vitrified by plunge-freezing into liquid ethane and stored in liquid nitrogen.

Cryo-EM data acquisition

Cryo-EM datasets for the pH 9, pH 9 with IVM, and pH 6.5 with IVM conditions were collected on a Titan Krios transmission electron microscope (Thermo Fisher Scientific) operating at 300 kV with a Gatan BioQuantum energy filter (operated at 20 eV) and a Gatan K3 direct electron detector at the Electron Bio-Imaging Centre (eBIC), Diamond Light Source, Harwell, UK. The dataset corresponding to the pH 6.5 (closed state) condition was acquired on a JEOL CryoARM 300 transmission electron microscope (JEOL Ltd.) operated at 300 kV with an Omega filter and K3 direct electron detector, at the VIB-VUB Facility for Bio Electron Cryogenic Microscopy (BECM), Brussels, Belgium. Specifications for data collection can be found in the Supplementary Table 1.

Cryo-EM data processing

Datasets were processed according to the workflow outlined in Supplementary Fig. 6. Initial processing was performed in RELION 5.0 (ref. 58). Raw movies were motion-corrected and dose-weighted using RELION’s implementation of MotionCor259, and contrast transfer function (CTF) parameters were estimated with CTFFIND460. Particle picking was conducted externally using crYOLO61, employing the general pre-trained model with dataset-specific adjustments to picking threshold and particle size.

Picked coordinates were imported into RELION for particle extraction with initial downsampling to accelerate processing. Extracted particles underwent multiple rounds of 2D classification to remove poorly aligned classes and particles lacking clear structural features of a pentameric channel. Selected particles were used to generate an initial 3D model, followed by unsupervised 3D classification in C1. Particles from well-resolved classes were then re-extracted at the original pixel size.

Further steps were carried out in cryoSPARC62. Another 2D classification step was performed, followed by ab initio reconstruction, non-uniform63, and local refinement in C1 symmetry. Symmetry analysis of the channel confirmed C5 symmetry, which was applied in the final rounds of global and local refinement. Global and local CTF refinement were performed to enhance overall map resolution and alignment fidelity. Maps were visualized using UCSF ChimeraX64.

Model building, refinement, and validation

An initial reference model was generated using AlphaFold2 (or AlphaFold365) and used as the starting point for model building. Construction began with a single subunit, which was first rigid-body fitted into the cryo-EM map using the ‘fit’ tool in UCSF ChimeraX. Interactive model building was then carried out in COOT66 to resolve discrepancies and improve the overall fit. Refinement proceeded iteratively within the Doppio suite (CCP-EM67), beginning with TEMPy-REFF68 to optimize model-to-map agreement. This was followed by successive refinement cycles using Refmac/Servalcat69, interspersed with detailed interactive model building in COOT. Final optimization of local conformations was achieved using ISOLDE70 through interactive molecular dynamics flexible fitting. Once the single-subunit model met refinement and validation criteria, C5 symmetry was applied to reconstruct the full assembly. Comprehensive validation was performed using Doppio’s integrated pipeline to assess stereochemistry, fit-to-density, and sequence fidelity. Additional validation of sequence registration was carried out using FindMySequence and CheckMySequence, enabling correction and confirmation of residue-level assignments within the density. Figures were prepared using PyMOL (The PyMOL Molecular Graphics System, Version 3.0, Schrödinger, LLC.) and UCSF ChimeraX.

Pore analysis with HOLE

Pore dimensions were analyzed using the HOLE program71. The SsCl refined atomic models were used as inputs, and the pore axis was defined manually by selecting points along the central channel for each structure. HOLE was run using default parameters to calculate the pore profile, and the resulting radius plot was used to identify constriction sites and estimate the pore diameter along the channel axis. Pore radius profiles were plotted using GraphPad Prism, and structural figures were generated with PyMOL.

Electrostatics calculations

Electrostatics calculations were performed using the Adaptive Poisson–Boltzmann Solver (APBS)72 at the experimental pH values of 6.5 and 9. Protonation states were assigned using PROPKA through the PDB2PQR pipeline with Amber force-field parameters. The linearized Poisson–Boltzmann equation was solved under single Debye–Hückel boundary conditions. The protein dielectric constant was set to 2.0, and the solvent dielectric constant to 78.0. Atomic charges were mapped to the grid using cubic B-spline discretization. Calculations were performed at 310 K in the presence of two mobile ion species (Na⁺ and Cl⁻), each at 0.15 M, with ion radii of 2.0 Å for Na⁺ and 1.8 Å for Cl⁻. The membrane environment was not included in these calculations. The APBS results were visualized as Surface potentials and Electrostatic isocontours.

Residue selection for pH-sensing and gating analysis

The burial percentage and pKₐ values of all titratable residues were calculated using PROPKA49 (via PDB2PQR, with Amber force-field parameters). Cysteine pairs forming disulfide bonds were excluded from the analysis. In addition, residues within the transmembrane domain were not considered since this study focused on the extracellular region, known as important for binding and channel modulation in other pLGICs.

State-dependent changes were identified by detailed structural analysis and by comparing the predicted pKₐ values and solvent exposure between the two pH conditions. Residues exhibiting shifts in pKₐ together with changes in burial or solvent accessibility were flagged as potential candidates, as such features indicate altered interactions and/or structural rearrangements associated with pH-dependent conformational transitions. Candidate residues were further investigated in the three-dimensional structures to inspect local interactions, including hydrogen bonds, electrostatic contacts, and clustering with neighbouring titratable groups. Known functional roles of analogous regions in related pH-sensitive receptors were considered to guide interpretation.

mRNA synthesis for electrophysiology

For expression in Xenopus oocytes, the full-length sequence of SsCl was subcloned into pGEM-HE73 using EcoRI and HindIII restriction sites. SsClEM was engineered the same way as for the pFastBac expression construct. The plasmid was linearized with PstI and transcribed with the mMESSAGE mMACHINE T7 ULTRA Transcription kit. The typical yield of cRNA was around 1.5 μg/μL. Point mutants of SsCl in pGEM-HE were engineered using the QuikChange site-directed mutagenesis kit (Agilent). Mutations were confirmed by Sanger sequencing (LGC Genomics, Germany).

Oocyte preparation and injection

Ovaries were harvested from Xenopus laevis female frogs following procedures established with the Geneva Canton agreement. Frogs were obtained from the TEFOR PARIS SARCLAY Institut des Neurosciences, bât. 151, 151 route de la Rotonde 91400 Sarclay, France. Experiments were conducted in Geneva with the authorization from the animal care 34485 GE177. Ovaries were isolated, placed in sterile medium, and kept in clean conditions at 4 °C. Ovaries were maintained in physiological OR2 medium (88 mM NaCl, 2.5 mM KCl, 1.8 mM CaCl2.2H2O, 1 mM MgCl2, 5 mM HEPES at pH 7.8, unless indicated otherwise). Oocytes were isolated using mechanical and enzymatic procedures with Type-I collagenase (Sigma). One or two days following isolation, oocytes were injected with 15 nL of mRNA resuspended in distilled water at 0.1 μg/μL. Injections were conducted using the automated Roboinject device (Multichannel System, Germany). Functional expression of SsCl channels was assessed at least two days after injection.

Electrophysiology

All recordings were conducted using the automated TEVC system, HiClamp (Multichannel System, Germany). Electrodes were pulled from borosilicate glass (1.2 mm O.D., 0.8 mm i.d.) using a proprietary puller and filled with 3 M KCl, yielding electrodes displaying a typical resistance of about 500 kOhms. Voltage and currents were digitized at 100 Hz and filtered at 20 Hz. Data acquisition and analysis were done using proprietary software running under Matlab (Mathworks Inc.). Unless otherwise indicated, cells were perfused with OR2 adjusted to a pH of 5.35 and maintained at −80 mV throughout the experiment. As desired in the experimental protocol, cells were moved from the perfusion chamber to the incubation well of a 96-microtiter plate (NUNC, Thermofisher). In the microwells, the solution was agitated by a small, specially designed stirring magnet.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

Supplementary information

Supplementary Information (212.1MB, pdf)
41467_2026_70575_MOESM2_ESM.pdf (103.5KB, pdf)

Description of Additional Supplementary Files

Supplementary Movie 1 (22.3MB, mov)
Supplementary Movie 2 (40MB, mov)
Supplementary Movie 3 (15.7MB, mov)
Supplementary Movie 4 (45.2MB, mov)
Supplementary Movie 5 (40.3MB, mov)
Supplementary Movie 6 (13.7MB, mov)
Supplementary Movie 7 (50.8MB, mov)
Supplementary Movie 8 (45.6MB, mov)
Reporting Summary (1.8MB, pdf)

Source data

Source Data (38.5KB, xlsx)

Acknowledgements

This work was supported by an internal KU Leuven C1-grant C14/23/128 and a senior project grant from FWO-Vlaanderen G087921N to CU. JKF was supported by a post-doctoral mandate (PDM) from KU Leuven PDMt1/24/028. MN is a recipient of a FWO postdoctoral fellowship 12X2722N. CIG is a recipient of a FWO postdoctoral fellowship 1242724 N. The Membrane Protein Laboratory, including PJH and AQ, are funded by grant 223727/Z/21/Z from the Wellcome Trust, with additional support provided by Diamond Light Source and the Research Complex at Harwell, both Instruct-ERIC centres. We thank Diamond Light Source for access to the Cryo-EM facilities at the UK national electron bio-imaging centre (eBIC), proposal nt33941. We also thank Marcus Fislage and Dirk Reiter from VIB-VUB Facility for Bio Electron Cryogenic Microscopy (BECM), Brussels, Belgium, for the support with the data collection of SsCl at pH 6.5 (closed state). The data collection of SsCl at pH 9 (desensitized state) was supported by the iNEXT-Discovery project PID 30222. We thank Dr. Rebecca Howard for the data discussion.

Author contributions

J.K.F. and C.U. conceived the project and acquired funding. J.K.F. performed virus production, protein expression, and FSEC; designed the mutants; prepared cryo-EM grids; processed cryo-EM data; built, refined, and validated the structural models; analyzed structural data; and conducted HOLE and phylogenetic analyses. M.B. prepared bacmid DNA, purified protein, and produced the mutants and mRNA. J.K.F. and P.J.H. collected cryo-EM data under the supervision of AQ; P.J.H. also provided intellectual input on cryo-EM data collection and image interpretation. Y.D. conducted electrophysiology experiments under the supervision of D.B. C.G. performed electrophysiology assays, microscopy of Sf9 cells, and analyzed electrophysiological data. M.N. contributed to the construct design and carried out detergent screening by FSEC. J.K.F. prepared all main structural figures and supplementary material. C.G. prepared electrophysiological data figures and the pLGIC sequence alignment. J.K.F. wrote the original manuscript. J.K.F., C.G., and C.U. were primarily responsible for reviewing and editing the manuscript with input from all authors. All authors reviewed and provided feedback on the final version. C.U. supervised the project.

Peer review

Peer review information

Nature Communications thanks the anonymous reviewer(s) for their contribution to the peer review of this work. A peer review file is available.

Data availability

The atomic coordinates for the four structures, pH 6.5 closed, pH 9 desensitized, pH 6.5 with IVM, and pH 9 with IVM, have been deposited in the Protein Data Bank under accession codes PDB 9RGM, 9RGO, 9RGN, and 9RGP, respectively. The corresponding cryo-EM maps are deposited in the Electron Microscopy Data Bank under accession codes EMDB-53950, EMDB-53952, EMD-53951, and EMD-53953, respectively. The electrophysiological data generated in this study is provided as Source Data file. Source data are provided with this paper.

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.

Contributor Information

Jessica Kleiz-Ferreira, Email: jessica.kleiz@kuleuven.be.

Chris Ulens, Email: chris.ulens@kuleuven.be.

Supplementary information

The online version contains supplementary material available at 10.1038/s41467-026-70575-0.

References

  • 1.Thompson, A. J., Lester, H. A. & Lummis, S. C. R. The structural basis of function in Cys-loop receptors. Q. Rev. Biophys.43, 449–499 (2010). [DOI] [PubMed] [Google Scholar]
  • 2.Schnizler, K. et al. A novel chloride channel in Drosophila melanogaster is inhibited by protons. J. Biol. Chem.280, 16254–16262 (2005). [DOI] [PubMed] [Google Scholar]
  • 3.Mounsey, K. E. et al. Molecular characterisation of a pH-gated chloride channel from Sarcoptes scabiei. Invertebr. Neurosci.7, 149–156 (2007). [Google Scholar]
  • 4.Mi, T. et al. Alkaline taste sensation through the alkaliphile chloride channel in Drosophila. Nat. Metab.5, 466–480 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Feingold, D., Starc, T., O’Donnell, M. J., Nilson, L. & Dent, J. A. The orphan pentameric ligand-gated ion channel pHCl-2 is gated by pH and regulates fluid secretion in Drosophila Malpighian tubules. J. Exp. Biol.219, 2629–2638 (2016). [DOI] [PubMed] [Google Scholar]
  • 6.Liu, H., French, A. S. & Torkkeli, P. H. Expression of Cys-loop receptor subunits and acetylcholine binding protein in the mechanosensory neurons, glial cells, and muscle tissue of the spider Cupiennius salei. J. Comp. Neurol.525, 1139–1154 (2017). [DOI] [PubMed] [Google Scholar]
  • 7.Okuhara, D., Furutani, S., Ito, K., Ihara, M. & Matsuda, K. Splice Variants of pH-Sensitive Chloride Channel Identify a Key Determinant of Ivermectin Sensitivity in the Larvae of the Silkworm Bombyx mori. Mol. Pharmacol.92, 491–499 (2017). [DOI] [PubMed] [Google Scholar]
  • 8.Raisch, T. & Raunser, S. The modes of action of ion-channel-targeting neurotoxic insecticides: lessons from structural biology. Nat. Struct. Mol. Biol.30, 1411–1427 (2023). [DOI] [PubMed] [Google Scholar]
  • 9.Karimkhani, C. et al. The global burden of scabies: a cross-sectional analysis from the Global Burden of Disease Study 2015. Lancet Infect. Dis.17, 1247–1254 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Khalil, S., Abbas, O., Kibbi, A. G. & Kurban, M. Scabies in the age of increasing drug resistance. PLoS Neglect. Trop. Dis.11, e0005920 (2017). [Google Scholar]
  • 11.Chung, S.-D., Wang, K.-H., Huang, C.-C. & Lin, H.-C. Scabies increased the risk of chronic kidney disease: a 5-year follow-up study. J. Eur. Acad. Dermatol. Venereol.28, 286–292 (2014). [DOI] [PubMed] [Google Scholar]
  • 12.Thomas, J. et al. Scabies: an ancient global disease with a need for new therapies. BMC Infect. Dis.15, 250 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.El-Moamly, A. A. Scabies as a part of the World Health Organization roadmap for neglected tropical diseases 2021-2030: what we know and what we need to do for global control. Trop. Med. Heal.49, 64 (2021). [Google Scholar]
  • 14.Welch, E., Romani, L. & Whitfeld, M. J. Recent advances in understanding and treating scabies. Fac. Rev.10, 28 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Campbell, W. C., Fisher, M. H., Stapley, E. O., Albers-Schönberg, G. & Jacob, T. A. Ivermectin: a potent new antiparasitic agent. Science221, 823–828 (1983). [DOI] [PubMed] [Google Scholar]
  • 16.Egerton, J. R. et al. Avermectins, New Family of Potent Anthelmintic Agents: Efficacy of the B1a Component. Antimicrob. Agents Chemother.15, 372–378 (1979). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Burg, R. W. et al. Avermectins, New Family of Potent Anthelmintic Agents: Producing Organism and Fermentation. Antimicrob. Agents Chemother.15, 361–367 (1979). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Owens, B. 2015 Nobel Prize goes to antiparasitic drug discoverers. Lancet386, 1433 (2015). [DOI] [PubMed] [Google Scholar]
  • 19.Dabira, E. D. et al. Mass drug administration with high-dose ivermectin and dihydroartemisinin-piperaquine for malaria elimination in an area of low transmission with high coverage of malaria control interventions: protocol for the MASSIV cluster randomized clinical trial. JMIR Res. Protoc.9, e20904 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Furnival-Adams, J. et al. Ivermectin resistance mechanisms in ectoparasites: a scoping review. Parasitol. Res.123, 221 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Wolstenholme, A. J. & Rogers, A. T. Glutamate-gated chloride channels and the mode of action of the avermectin/milbemycin anthelmintics. Parasitology131, S85–S95 (2005). [DOI] [PubMed] [Google Scholar]
  • 22.Hibbs, R. E. & Gouaux, E. Principles of activation and permeation in an anion-selective Cys-loop receptor. Nature474, 54–60 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Estrada-Mondragon, A. & Lynch, J. W. Functional characterization of ivermectin binding sites in α1β2γ2L GABA(A) receptors. Front. Mol. Neurosci.8, 55 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Shan, Q., Haddrill, J. L. & Lynch, J. W. Ivermectin, an unconventional agonist of the glycine receptor chloride channel*. J. Biol. Chem.276, 12556–12564 (2001). [DOI] [PubMed] [Google Scholar]
  • 25.Nakatani, Y., Furutani, S., Ihara, M. & Matsuda, K. Ivermectin modulation of pH-sensitive chloride channels in the silkworm larvae of Bombyx mori. Pestic. Biochem. Physiol.126, 1–5 (2016). [DOI] [PubMed] [Google Scholar]
  • 26.Sauguet, L., Shahsavar, A. & Delarue, M. Crystallographic studies of pharmacological sites in pentameric ligand-gated ion channels. Biochim. Biophys. Acta (BBA) - Gen. Subj.1850, 511–523 (2015). [Google Scholar]
  • 27.Huang, X. et al. Crystal structures of human glycine receptor α3 bound to a novel class of analgesic potentiators. Nat. Struct. Mol. Biol.24, 108–113 (2017). [DOI] [PubMed] [Google Scholar]
  • 28.Jansen, M., Bali, M. & Akabas, M. H. Modular design of Cys-loop ligand-gated ion channels: functional 5-HT3 and GABA rho1 receptors lacking the large cytoplasmic M3M4 loop. J. Gen. Physiol.131, 137–146 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Bocquet, N. et al. A prokaryotic proton-gated ion channel from the nicotinic acetylcholine receptor family. Nature445, 116–119 (2007). [DOI] [PubMed] [Google Scholar]
  • 30.Kawate, T. & Gouaux, E. Fluorescence-detection size-exclusion chromatography for precrystallization screening of integral membrane proteins. Structure14, 673–681 (2006). [DOI] [PubMed] [Google Scholar]
  • 31.Miller, P. S. & Smart, T. G. Binding, activation and modulation of Cys-loop receptors. Trends Pharmacol. Sci.31, 161–174 (2010). [DOI] [PubMed] [Google Scholar]
  • 32.Chang, Y., Wu, W., Zhang, J. & Huang, Y. Allosteric activation mechanism of the cys-loop receptors. Acta Pharmacol. Sin.30, 663–672 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Lynagh, T. & Lynch, J. W. Ivermectin binding sites in human and invertebrate Cys-loop receptors. Trends Pharmacol. Sci.33, 432–441 (2012). [DOI] [PubMed] [Google Scholar]
  • 34.Õmura, S. & Crump, A. The life and times of ivermectin — a success story. Nat. Rev. Microbiol.2, 984–989 (2004). [DOI] [PubMed] [Google Scholar]
  • 35.Burke, S. M. et al. Structural mechanisms of α7 nicotinic receptor allosteric modulation and activation. Cell187, 1160–1176.e21 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Gibbs, E. et al. Conformational transitions and allosteric modulation in a heteromeric glycine receptor. Nat. Commun.14, 1363 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Huang, X., Chen, H. & Shaffer, P. L. Crystal Structures of Human GlyRα3 Bound to Ivermectin. Structure25, 945–950.e2 (2017). [DOI] [PubMed] [Google Scholar]
  • 38.Kumar, A. et al. Mechanisms of activation and desensitization of full-length glycine receptor in lipid nanodiscs. Nat. Commun.11, 3752 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Du, J., Lü, W., Wu, S., Cheng, Y. & Gouaux, E. Glycine receptor mechanism elucidated by electron cryo-microscopy. Nature526, 224–229 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Dutzler, R., Campbell, E. B., Cadene, M., Chait, B. T. & Mackinnon, R. X-ray structure of a ClC chloride channel at 3.0 A reveals the molecular basis of anion selectivity. Nature415, 287–294 (2002). [DOI] [PubMed] [Google Scholar]
  • 41.Yu, J. et al. Mechanism of gating and partial agonist action in the glycine receptor. Cell184, 957–968.e21 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Noviello, C. M. et al. Structure and gating mechanism of the α7 nicotinic acetylcholine receptor. Cell184, 2121–2134.e13 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Liu, S. et al. Structural basis for allosteric agonism of human α7 nicotinic acetylcholine receptors. Cell Discov.11, 35 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Unwin, N. Acetylcholine receptor channel imaged in the open state. Nature373, 37–43 (1995). [DOI] [PubMed] [Google Scholar]
  • 45.Cecchini, M., Corringer, P.-J. & Changeux, J.-P. The Nicotinic Acetylcholine receptor and its pentameric homologs: toward an allosteric mechanism of signal transduction at the atomic level. Annu. Rev. Biochem.93, 339–366 (2024). [DOI] [PubMed] [Google Scholar]
  • 46.Galzi, J. L. et al. Mutations in the channel domain of a neuronal nicotinic receptor convert ion selectivity from cationic to anionic. Nature359, 500–505 (1992). [DOI] [PubMed] [Google Scholar]
  • 47.Wada, A. The alpha-helix as an electric macro-dipole. Adv. Biophys. 1–63 (1976).
  • 48.Sengupta, D., Behera, R. N., Smith, J. C. & Ullmann, G. M. The α Helix Dipole: Screened Out? Structure13, 849–855 (2005). [DOI] [PubMed] [Google Scholar]
  • 49.Olsson, M. H. M., Søndergaard, C. R., Rostkowski, M. & Jensen, J. H. PROPKA3: consistent treatment of internal and surface residues in empirical pKa predictions. J. Chem. theory Comput.7, 525–537 (2011). [DOI] [PubMed] [Google Scholar]
  • 50.Gallagher, C. I., Bishop, D. P., Lockwood, T. E., Rawling, T. & Vandenberg, R. J. Methods for negating the impact of zinc contamination to allow characterization of positive allosteric modulators of glycine receptors. Front. Mol. Neurosci.17, 1392715 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.McGaughey, G. B., Gagné, M. & Rappé, A. K. π-stacking interactions alive and well in proteins*. J. Biol. Chem.273, 15458–15463 (1998). [DOI] [PubMed] [Google Scholar]
  • 52.Kindig, K., Gibbs, E., Seiferth, D., Biggin, P. C. & Chakrapani, S. Mechanisms underlying modulation of human GlyRα3 receptors by Zn2+ and pH. Sci. Adv.10, eadr5920 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Hu, H. et al. Crystal structures of a pentameric ion channel gated by alkaline pH show a widely open pore and identify a cavity for modulation. Proc. Natl. Acad. Sci.115, E3959–E3968 (2018).
  • 54.Karlsson, E. et al. Vestibular modulation by stimulant derivatives in a pentameric ligand-gated ion channel. Br. J. Pharmacol.182, 2790–2802 (2025). [DOI] [PubMed] [Google Scholar]
  • 55.Hu, H. et al. Electrostatics, proton sensor, and networks governing the gating transition in GLIC, a proton-gated pentameric ion channel. Proc. Natl. Acad. Sci.115, E12172–E12181 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Brejc, K. et al. Crystal structure of an ACh-binding protein reveals the ligand-binding domain of nicotinic receptors. Nature411, 269–276 (2001). [DOI] [PubMed] [Google Scholar]
  • 57.Alzari, P. M. et al. Implementation of semi-automated cloning and prokaryotic expression screening: the impact of SPINE. Acta Crystallogr. Sect. D.62, 1103–1113 (2006). [DOI] [PubMed] [Google Scholar]
  • 58.Scheres, S. H. W. RELION: Implementation of a Bayesian approach to cryo-EM structure determination. J. Struct. Biol.180, 519–530 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Zheng, S. Q. et al. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods14, 331–332 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Rohou, A. & Grigorieff, N. CTFFIND4: Fast and accurate defocus estimation from electron micrographs. J. Struct. Biol.192, 216–221 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Wagner, T. et al. SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM. Commun. Biol.2, 218 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Punjani, A., Rubinstein, J. L., Fleet, D. J. & Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods14, 290–296 (2017). [DOI] [PubMed] [Google Scholar]
  • 63.Punjani, A., Zhang, H. & Fleet, D. J. Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction. Nat. Methods17, 1214–1221 (2020). [DOI] [PubMed] [Google Scholar]
  • 64.Meng, E. C. et al. UCSF ChimeraX: Tools for structure building and analysis. Protein Sci.32, e4792 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature630, 493–500 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. Sect. D. Biol. Crystallogr.66, 486–501 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Burnley, T., Palmer, C. M. & Winn, M. Recent developments in the CCP-EM software suite. Acta Crystallogr. Sect. D.73, 469–477 (2017). [Google Scholar]
  • 68.Beton, J. G., Mulvaney, T., Cragnolini, T. & Topf, M. Cryo-EM structure and B-factor refinement with ensemble representation. Nat. Commun.15, 444 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Brown, A. et al. Tools for macromolecular model building and refinement into electron cryo-microscopy reconstructions. Acta Crystallogr. Sect. D: Biol. Crystallogr.71, 136–153 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Croll, T. I. ISOLDE: a physically realistic environment for model building into low-resolution electron-density maps. Acta Crystallogr. Sect. D.74, 519–530 (2018). [Google Scholar]
  • 71.Smart, O. S., Neduvelil, J. G., Wang, X., Wallace, B. A. & Sansom, M. S. P. HOLE: A program for the analysis of the pore dimensions of ion channel structural models. J. Mol. Graph.14, 354–360 (1996). [DOI] [PubMed] [Google Scholar]
  • 72.Jurrus, E. et al. Improvements to the APBS biomolecular solvation software suite. Protein Sci.27, 112–128 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Liman, E. R., Tytgat, J. & Hess, P. Subunit stoichiometry of a mammalian K+ channel determined by construction of multimeric cDNAs. Neuron9, 861–871 (1992). [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Information (212.1MB, pdf)
41467_2026_70575_MOESM2_ESM.pdf (103.5KB, pdf)

Description of Additional Supplementary Files

Supplementary Movie 1 (22.3MB, mov)
Supplementary Movie 2 (40MB, mov)
Supplementary Movie 3 (15.7MB, mov)
Supplementary Movie 4 (45.2MB, mov)
Supplementary Movie 5 (40.3MB, mov)
Supplementary Movie 6 (13.7MB, mov)
Supplementary Movie 7 (50.8MB, mov)
Supplementary Movie 8 (45.6MB, mov)
Reporting Summary (1.8MB, pdf)
Source Data (38.5KB, xlsx)

Data Availability Statement

The atomic coordinates for the four structures, pH 6.5 closed, pH 9 desensitized, pH 6.5 with IVM, and pH 9 with IVM, have been deposited in the Protein Data Bank under accession codes PDB 9RGM, 9RGO, 9RGN, and 9RGP, respectively. The corresponding cryo-EM maps are deposited in the Electron Microscopy Data Bank under accession codes EMDB-53950, EMDB-53952, EMD-53951, and EMD-53953, respectively. The electrophysiological data generated in this study is provided as Source Data file. Source data are provided with this paper.


Articles from Nature Communications are provided here courtesy of Nature Publishing Group

RESOURCES