Summary
TASK-1 and TASK-3 are pH-sensitive Two-Pore Domain (K2P/KCNK) K+ channels. Their functional roles make them promising targets for the treatment of multiple disorders including sleep apnea, pain and atrial fibrillation. Mutations in these channels are also associated with neurodevelopmental and hypertensive disorders. A previous crystal structure of TASK-1 revealed a lower ‘X-gate’ as a hotspot for missense gain-of-function mutations associated with DDSA (Developmental Delay with Sleep Apnea). However, the mechanisms of gating in TASK channels are still not fully understood. Here, we resolve structures for both human TASK-1 and TASK-3 by cryoEM, as well as for a recurrent TASK-3 variant (G236R) associated with KCNK9 Imprinting Syndrome (formerly referred to as Birk-Barel Syndrome). Combined with functional studies of the X-gating mechanism, we provide evidence for how a highly-conserved gating mechanism becomes defective in disease, and also provide further insight into the pathway of conformational changes that underlie the pH-dependent inhibition of TASK channel activity.
Introduction
Two-Pore Domain K+ (K2P) channels are a structurally distinct subset of K+ channels where each gene encodes a subunit with two pore-forming domains that co-assemble as a dimer to create a single pseudotetrameric K+-selective pore which spans the cell membrane1. Originally described as ‘leak’ channels, K2P channels are now known to be regulated by many diverse stimuli, including multiple G-protein coupled receptor (GPCR) pathways2 thus enabling them to integrate a range of neuronal, metabolic and cellular signaling pathways into changes in cellular electrical activity3, 4.
In humans, K2P channels are encoded by 15 separate genes (KCNK1-KCNK18) and whilst most assemble as homomeric channels, several are able to coassemble as heteromeric channels with unique functional properties5, 6. KCNK3 encodes the TASK-1 K2P channel and is expressed in many chemosensitive regions of the central nervous system involved in the regulation of breathing, as well as in the lung, heart, carotid body, adrenal gland and pulmonary arterial smooth muscle1, 7, 8. Loss-of-function (LoF) mutations in TASK-1 cause an inherited form of hypertension (Pulmonary Arterial Hypertension; PAH)9, 10, whilst de novo gain-of-function (GoF) mutations have recently been shown to underlie a separate disorder termed Developmental Delay with Sleep Apnea (DDSA)11. The upregulation of atrium-selective TASK-1 currents has also been shown to contribute to the shortening of action potential duration in patients with chronic Atrial Fibrillation12. Its functional role is therefore diverse, but the expression of TASK channels in cells and tissues involved in both the control of respiratory drive and in mechanical ventilation, as well as its genetic association with DDSA, have clearly implicated TASK-1 as a target for the treatment of sleep apnea, and in a recent clinical trial a novel TASK channel inhibitor was found to reduce sleep apnea severity in patients with severe obstructive sleep apnea13.
The related TASK-3 channel is encoded by KNCK9 and shares 54% overall amino acid identity with TASK-1 and 80% identity within the pore-forming transmembrane regions. TASK-3 is also expressed widely throughout the CNS and several peripheral tissues. Furthermore, in places where both TASK-1 and TASK-3 are coexpressed, e.g., in the carotid body, heteromeric TASK-1/TASK-3 channels appear to coassemble to form the physiologically relevant channel subtype in those cells5, 6, 14.
KCNK9 Imprinting Syndrome (KIS) is a rare neurodevelopmental disorder, previously referred to as Birk-Barrel syndrome. KIS is primarily characterized by LoF mutations in the maternal copy of the gene, with the majority of patients possessing a single G236R mutation15. More recently, GoF mutations have also been associated with this disorder16, but the underlying molecular mechanisms behind this genotype-phenotype correlation remain unclear and can often be complicated by imprinting and/or mosaicism. Interestingly, TASK-3 has also been shown to be expressed in certain nociceptive sensory neurons and TASK-3 activators have been shown to display potent analgesic effects in a variety of rodent pain models suggesting this channel as a potential target for the treatment of pain17.
In a recent study, we determined an X-ray crystal structure of TASK-1 in complex with a compound class of TASK-1 inhibitors developed for the treatment of sleep apnea18. This structure also revealed several unique features of TASK-1, including a lower ‘X-gate’, a structural motif involving constriction of the M4 helices that controls opening and closing of the channel pore. The X-gate and surrounding region also appears to be a hotspot for GoF mutations underlying DDSA by creating channels which have both a higher open probability and which are resistant to GPCR-mediated inhibition11.
The extracellular H+ sensitivity of TASK channels is also an important and physiologically relevant feature with their name originally derived from their acid sensitivity8. TASK-1 and TASK-3 channels have pKa values of ~7.4 and 6.7 respectively thus permitting their activity to be finely tuned by changes in extracellular H+ concentrations within the physiological range19. Previous studies have identified the pH-sensor as H98 positioned adjacent to the first selectivity filter (SF) motif (TIGYGH)20. The first insights into the mechanism of gating have been provided by cryoEM structures of the related TWIK-1 channel which also possesses a histidine pH-sensor in a similar position within the filter motif21 and more recently by a structure of TASK-322, but the precise mechanism by which protonation of H98 influences channel gating in TASK channels has not been fully elucidated. It is known that even relatively small structural rearrangements within the pore-forming loops control a ‘C-type’ or inactivation gate within the SF of many K2P channels and similar changes may therefore also be sufficient to regulate gating in TASK channels23–26.
However, for any such SF gate to function, the lower X-gate must also open, and in many K+ channels such gates are allosterically coupled27–29. In TASK-1 we have previously shown that mutations which affect X-gating can also influence activation by external H+, but that they do not prevent inhibition. This suggests that if such coupling exists between these gates, then it may be relatively weak11. However, without more detailed structural or functional information, such mechanisms remain difficult to determine. Likewise, without more structural information, the effects of disease-causing mutations remain difficult to interpret as well as impacting the rational design of better therapeutics that target these channels.
To address these issues, we have used single particle cryoEM to solve the structure of TASK-3 with and without the most frequent KIS mutation (G236R) as well as a structure of TASK-1, and we use functional studies to demonstrate that the X-gating mechanism is conserved in TASK-3. Importantly, these structures indicate how the pH-sensor in TASK-1 channels may begin to move in response to protonation to control channel gating, and also how the X-gate may begin to open. We discuss how these movements relate to other structures of TASK-3 recently resolved by cryoEM at different pH values22 and how these various new structures provide further insight into the gating mechanism of TASK channels and their associated channelopathies, as well as expanding the structural landscape of TASK K2P channels as druggable targets.
Results and Discussion
CryoEM Structure of TASK-1
The previous crystal structure of TASK-1 revealed a lower X-gate which was also seen in the two inhibitor-bound structures resolved in that study18. However, the contacts required for crystallisation occasionally influence structures to produce non-native conformations. An advantage of single particle cryoEM is that additional native conformations can often be resolved. We therefore determined a cryoEM structure using human TASK-1 protein identical to that used previously for crystallisation (Met1-Glu259).
We were able to resolve this structure to 3.1 Å resolution (Figure 1, Supplementary Table S1 and Supplementary Figure S1) and the overall structure was found to be consistent with previous biochemical and crystallographic structures of TASK-1. Superimposition of the cryoEM and crystal structures revealed very similar conformations (Figure 1a-c). The channel forms a domain-swapped homodimer with four transmembrane helices (M1-M4) in each subunit, a pseudotetrameric selectivity filter similar to other K2Ps, and an extracellular Cap domain that lacks the intermolecular disulphide bridge between chains found in most other K2Ps30. Even though the distal C-terminus beyond A251 is not resolved as well as in the crystal structure, the architecture of the X-gate (243VLRFMT248) is clearly visible and conserved, thus confirming the structural integrity of this gating motif. Cholesterol hemisuccinate was also identified bound to the same external clefts as seen in the TASK-1 crystal structure, i.e., next to the X-gate between the M1, M4 and M2 helices with a second site in a higher cavity along the M4 helices (Supplementary Figure S1d).
Figure 1. CryoEM structure of TASK-1.
a. Cartoon showing the topology of a single TASK-1 subunit indicating the relative position of the pH-sensor, H98 (red dot), the M1-M4 transmembrane helices, and the X-gate. b. Cryo-EM structure of TASK-1, with chain A in green and chain B in pink. c. Superimposition of this TASK-1 cryoEM structure and the TASK-1 crystal structure 6RV2 (dark grey) d. RMSD plot of the TASK-1 cryoEM structure compared to the crystal structure (6RV2). e. H98 in TASK-1 at pH 8.5 from PDB:6RV2. f. Conformation of H98 at pH 7.5 as determined in this cryoEM structure. In this structure the H-bonding between Q77 and Q209 is disrupted. g. Dual rotamer density of H98 with the upwards conformation shown and density for the down conformation clearly visible.
TASK-1 pH-Sensor
Both TASK-1 and TASK-3 channels are sensitive to inhibition by extracellular H+ within the physiological range. The crystal structure of TASK-1 was originally solved at pH 8.5 with the pH-sensor, H98 presumably in the activated state where it points down to stabilise the region behind the filter via H-bond formation involving a water molecule and other side-chains within this region18 (Figure 1d). Similar networks of interactions have also been observed in other K+ channels stabilising their K+ selective filters in active, conductive conformations27. The H98 side chain is also adjacent to two glutamines (Q77 and Q209) at pH 8.5 in the crystal structure conformation with Q77 H-bonding with Q209, and mutations in this network of residues have been shown to alter TASK-1 pH sensitivity18.
Interestingly, despite the high degree of structural alignment in most other regions of the structure, the conformation of this pH-sensor in the new cryoEM structure, determined at pH 7.5, is markedly different to that previously found at pH 8.5 (Figure 1e). At pH 7.5, H98 adopts an alternative rotamer conformation and there is a disruption of the hydrogen bonds between Q77 and Q209. There is no direct comparison available for an equivalent cryoEM structure of TASK-1 at higher pH, however, some density is still also observed for the downward rotamer (Figure 1f). This is consistent with the pKa for TASK-1 pH sensitivity and indicates that at pH 7.5 both conformations may exist. This therefore suggests that the first stages of pH sensitivity involve protonation of H98 which induces an upwards movement and disruption of the network of interactions between H98-Q77-Q209.
CryoEM Structure of TASK-3
To investigate the structure of the related human TASK-3 channel we used an almost identical expression construct (Met1-Glu259) combined with a similar structural approach to determine a structure to 3.3 Å resolution (Figure 2, Supplementary Table S1 and Supplementary Figure S2). In TASK-3, the X-gate sequence motif (243VLRFLT248) is slightly different to that of TASK-1 (243VLRFMT248). The overall fold of this TASK-3 structure is very similar to that of TASK-1 and almost identical to other structures of TASK-3 recently resolved by cryoEM22.
Figure 2. CryoEM structure of TASK-3.
a. Cartoon showing the structure of TASK-3, with chain A in gold and chain B in teal. b. The X-gate environment of TASK-3. c. Pore radius profile of WT TASK-3 and the other structures determined in this study. d. H98 downward conformation. e. RMSD plot of TASK-3 versus TASK-1. f. Whole-cell recordings of WT TASK-3 (n=95) and TASK-3 with ‘DDSA’ mutations: G129D (n=42), N133S (n=60), and L241F (n=51). ***p <0.0001. g. Current-voltage responses measured in inside-out patches from Xenopus oocytes expressing WT or L244A mutant TASK-3 channels in symmetrical high K+ at pH 7.4 in the absence (black) and in the presence of 1 µM TPenA (teal). Currents were elicited by the voltage steps indicated above the traces. The dotted red line indicates the extent of block by TPenA seen in WT TASK-1 when the X-gate opens upon voltage-activation. This is not seen in the more active L244A mutant channel. The example measurements shown here for WT and mutant channels were repeated with similar results (n=6).
Together, these structures therefore confirm that TASK-3 possesses a structurally conserved lower X-gate motif where the distal end of the M4 helices kink and block the entrance to the inner cavity (Figure 2a-e). Similar to TASK-1, cholesteryl hemisuccinate was also found bound to the same regions next to the X-gate between the M1, M2 and M4 helices, with a second site in a higher cavity along the M4 helices (Supplementary Figure S2d). The pH-sensor (H98) is also found within the first filter motif (TIGYGH) in TASK-3, but in this structure solved at pH 7.5, only the downward facing rotamer was observed (Figure 2d). However, this is consistent with the slightly reduced H+ sensitivity of TASK-3 which is considerably more active at pH 7.5 than TASK-1 and so would be expected to be in the stable, conductive conformation.
The orientation of H98 is also consistent with structures of TASK-3 recently resolved by Lin et al. at pH 7.422. However, in that study, the authors also solved a structure of TASK-3 at pH 6.0 which revealed much larger rearrangements of the filter backbone in this region. Intriguingly, these larger changes at pH 6.0 could only be observed at low concentrations of K+, yet they share some similarity with a structure of TWIK-1 solved at pH 5.5 which suggest that protonation of a histidine at this position adjacent to the filter might induce a much larger rearrangement of the backbone to constrict the outermost part of the filter itself21.
Conserved functional role of the X-gate in TASK-3
As found in TASK-1, the residues that surround the X-gate in TASK-3 are also involved in inter-and/or intra-subunit interactions known to influence channel gating in both channels31. For example, in a recent study, a number of disease-causing mutations in TASK-1 were shown to destabilize the X-gate, increase channel open probability (Po) and reduce GPCR-sensitivity11. To examine whether this X-gating mechanism is functionally conserved in TASK-3, we therefore examined the activity of several equivalent mutations in TASK-3. We found that, similar to their activatory effect in TASK-1, the GoF DDSA mutations (G129D, N133S, and L241F) which destabilise the X-gate in TASK-1 also increased whole-cell currents for TASK-3 (Figure 2f). The magnitude of this increase was less than that found in TASK-1, but this is probably due to the intrinsically higher open probability of WT TASK-3 to begin with. Indeed, it has previously been shown that a similar mutation of N133 in TASK-3 directly increases single channel open probability32 therefore supporting our observations that these mutations have an activatory effect due to the overall conservation of the X-gating motif in TASK-3.
Interestingly, we also found that functional measurements of macroscopic WT TASK-3 currents in excised patches using the universal K+ channel blocker tetrapentylammonium (TPenA) showed a slow component of inhibition (about 30 % of the total block) upon voltage activation. This block resembles the time course of inhibition seen with similar slow open channel blockers in classical voltage-gated K+ channels33. Furthermore, for TASK-3 channels, it was recently shown that voltage activation is achieved through a voltage-dependent SF gate28. These results therefore suggest that voltage activation also opens the lower X-gate in TASK-3, allowing TPenA to reach its binding site in the inner cavity and is comparable to the mechanism recently described for the related TALK-2 K2P channel29. To further examine this mechanism for TASK-3, we used a mutation at the X-gate (L244A)18 that has previously been shown to open the X-gate in TASK-1 and therefore expected to reduce this effect. Consistent with this, we found that the L244A mutation abolished this time-dependent component of blocker inhibition (Figure 2g). This not only supports a clear role for the X-gate in the gating of TASK-3 channels, but also highlights a degree of allosteric coupling between the filter and X-gate in these channels.
Structure of the G236R TASK-3 mutation associated with KCNK9 Imprinting Syndrome
Both gain and loss of function mutations in TASK-3 lead to the neurodevelopmental disorder, KIS16. However, the most frequent mutation associated with this disorder is G236R on the M4 helix that results in significantly reduced channel activity. This mutation was not only the first to be reported, but also appears to be the most common recurrent missense variant associated with the disorder. The precise mechanism by which this loss-of-function mutation reduces channel activity is unclear because the mutant channels are not completely inactive and can be partially reactivated by TASK-3 activators such as flufenamic acid and terbinafine34, 35. We therefore used a similar approach to determine the structure of the G236R mutant channel to 2.5 Å resolution (Figure 3, Supplementary Table S1 and Supplementary Figure S3). Overall, the structure of this mutant channel was very similar to WT TASK-3, but with the mutant arginine side-chain from each monomer directly facing into the inner cavity to line the pore (Figure 3b).
Figure 3. Cryo-EM structure of TASK-3 G236R.
a. Cartoon showing the structure of TASK-3 G236R, with the two chains of the homodimer shown in blue. b. The position of R236 within the inner cavity is shown as orange VdW spheres. c, d. Overlay of TASK-3 (gray) and TASK-3 G236R (blue) highlighting the additional movement in the X-gate and increased pore dilation in that region (expanded in panel d).
Intriguingly, it has also previously been shown in mutagenesis studies that introduction of a negative charge into this position (G236D) produces an activatory effect36, and so it is likely that these positive charges directly interfere with the movement of K+ to reduce permeation through the channel thereby explaining the loss of function phenotype associated with this mutation. In addition, these two arginine residues are in relatively close proximity to each other within the inner cavity and we observed small changes in the local environment of the X-gate (Figure 3c-d). This movement causes the M4 helices to move apart in a direction similar to that seen in simulations of pore-opening in TASK-1 mutant channels11, and so may provide insight into the mechanisms which allow the aperture within the X-gate to expand during channel opening.
Summary and Conclusions
Overall, our results provide further insight into the structure of both TASK-1 and TASK-3 channels and demonstrate that the X-gating mechanism is a highly conserved structural gating motif within the TASK channel family that, like many other K+ channels, also exhibits a degree of allosteric coupling between the lower gate and the filter gate. The extent of this coupling and the precise mechanisms of pH-sensing remain to be determined, but the alternate conformations of the H98 residue we observe in TASK-1 now provides evidence for the first structural changes that may occur after protonation of this residue, and suggest how flipping of the H98 side-chain may impact the structural dynamics of this region and gating within the filter itself (Figure 4).
Figure 4. Comparison of pH-dependent changes in the filters of TASK and TWIK channels.
a. Top down view of TASK-1 at pH 7.5, H98 pointing upwards, Y96 of the GYG motif is in its canonical orientation, b. TASK-3 at pH 7.5, H98 pointing down, Y96 in canonical position. c. TASK-3 pH 6.0 low K+, H98 reoriented downward, with Y96 and F202 pointing upwards blocking the pore, d. For Comparison, TWIK-1 at pH 5.5 is also shown with major rearrangement and distortion of the filter loop that restricts the pore, pH-sensor H122 is also pointing up. e. Schematic side view of the filter region summarising the sequence of possible events involved pH-dependent gating of TASK channels. Initially, at high pH the filter is in a canonical, fully conductive conformation represented by full ion occupancy of the filter. In response to increasing [H+], the first step involves protonation of H98 and upwards flipping of this side chain. Consequent changes in H-bonding behind the filter and the structural dynamics of this region may therefore begin to reduce K+ permeation and represent the first step in pH-gating. However, at even lower pH and low [K+], more dramatic structural changes have also been observed that switch the backbone of the filter into a non-canonical conformation with Y96 pointing inwards and upwards22. Whether these larger structural changes are necessary to gate the filter and reduce channel activity remains to be determined.
A structure of TWIK-1 at pH 5.5 reveals much larger rearrangements of the backbone that constrict the outermost part of the filter itself (Figure 4d), and another, very recent cryoEM structure of TASK-3 was solved at pH 6.0 with low K+ (5mM) also included much larger rearrangements of the filter backbone in this region22 (Figure 4b,c). In the pH 6.0 structure of TASK-3, H98 has reoriented, but is not in a fully upward conformation compared to H98 in the TASK-1 structure we present here at pH 7.5 (Figure 4a). Other key residues within the filter of TASK-3 also undergo large rearrangements at pH 6.0 and low K+, but intriguingly these changes were not seen in high K+ and include a major reorientation of Y96 in the P1 filter motif from its position behind the filter to restrict the pore opening (Figure 4c).
However, it has been shown in other K2P channels, and in other K+ channels, that only small structural movements in the filter are required to affect the conformational dynamics of this region and influence K+ permeation25–28. The small movements and changes in the H-bonding network we observe within the loops that connect to and support the selectivity filter may therefore influence the dynamics of the filter backbone itself, but whether this is sufficient to affect permeation by itself remains to be determined and instead may just represent the first stage of larger movements that occur at more extreme pH values (Figure 4e). It will also be interesting to see if other changes occur in the structure of the filter of TASK-1 at lower pH and/or low K+ concentrations and whether larger changes are necessary to gate the channel. The role of these different conformational changes and how their relative dynamics influence the rate of K+ permeation through the filter therefore remains to be determined.
Either way, it is clear that all of these new structures of TASK-1 and TASK-3 now expand the conformational landscape available for TASK channels as druggable targets and increase our insight into the mechanism of pH-sensing as well as a potential mechanism for coupling between the filter and the X-gate in TASK channels. The positively charged lining of the pore in the recurrent disease-causing G236R TASK-3 mutant also provides a clear structural explanation for the loss of function phenotype associated with this mutation in KCNK9 Imprinting Syndrome, and when combined with more structural information for WT TASK-3 now provides a robust structural framework for the development of activators against TASK-3 and other disease-associated mutations.
Star+Methods
Detailed methods are provided in the online version of this paper and include the following:
Key Resources Table
| REAGENT OR REASORUCE | SOURCE | IDENTIFIER |
|---|---|---|
| Bacterial strains and insect cells | ||
| E. Coli D10Bac | ThermoFisher | 10361012 |
| Sf9 Insect cells | ThermoFisher | 11496015 |
| Chemicals, peptides, and recombinant proteins | ||
| n-Decyl-β-D-maltoside (DM) | Anatrace | D322LA |
| n-Undecyl-β-D-maltoside (UDM) | Anatrace | U300 |
| Cholesteryl Hemisuccinate (CHS) tris salt | Sigma Aldrich | C6013 |
| Complete EDTA-free Protease Inhibitor Cocktail | Roche | 50 056 489 001 |
| TEV protease | Produced in house | |
| 3C protease | Produced in house | |
| PNGaseF | Produced in house | |
| Critical commercial assays | ||
| Talon Metal Affinity Resin | Takara Bio | 635504 |
| PD10 Desalting Columns | Cytiva | 17-0851-01 |
| Superdex 6 Increase 100/300 GL Column | Cytiva | 29-0915-96 |
| Deposited data | ||
| TASK-1 Atomic Coordinates | This paper | 9G9V |
| TASK-3 Atomic Coordinates | This paper | 9G9W |
| TASK-3 G236R Atomic Coordinates | This paper | 9G9X |
| TASK-1 Coulomb Potential Maps | This paper | EMD-51158 |
| TASK-3 Coulomb Potential Maps | This paper | EMD-51159 |
| TASK-3 G236R Coulomb Potential Maps | This paper | EMD-51160 |
| Oligonucleotides | ||
| TASK-3 LIC forward TTAACAACCACATATACTATGAAGAGGCAGAACG TGCGG |
This paper | |
| TASK-3 LIC reverse TGAAATAACACCTCCAACTCTGCTTCAGCATCC CGCCGCTCATC |
This paper | |
| TASK-3 G236R forward GCTGACGGTCATCAGGGCCTTCCTCAACC |
This paper | |
| TASK-3 G236R reverse GGTTGAGGAAGGCCCTGATGACCGTCAGC |
This paper | |
| TASK-3 G236R LIC forward TTAAGAAGGAGATATACTATGAAGAGGCAGAAC GTGC |
This paper | |
| TASK-3 pFB R primer | ||
| TASK-3 G129D forward GTTCCAGAGCCTGGACGAGCGCATGAACAC |
This paper | |
| TASK-3 G129D reverse GTGTTCATGCGCTCGTCCAGGCTCTGGAAC |
This paper | |
| TASK-3 N133S forward GGCGAGCGCATGAGCACCTTCGTGCG |
This paper | |
| TASK-3 N133S reverse GCGCACGAAGGTGCTCATGCGCTCGC |
This paper | |
| TASK-3 L241F forward GGGCCTTCCTCAACTTCGTCGTCCTCAGGTTC |
This paper | |
| TASK-3 L241F reverse GAACCTGAGGACGACGAAGTTGAGGAAGGCCC |
This paper | |
| Recombinant DNA | ||
| pFB-CT10HF-LIC vector | Addgene | #39191 |
| Functional expression plasmid pFAW | Sörmann et al | Ref 11 |
| Software and algorithms | ||
| SIMPLE | Caesar et al. (ref 37) | https://simplecryoem.com/ |
| CryoSPARC | Punjani et al. (ref 38) | https://cryosparc.com/ |
| RELION | Zivanov et al. (ref 39) | https://relion.readthedocs.io/en/release-5.0/ |
| UCSF pyem | Asarnow et al. (ref 40) | https://github.com/asarnow/pyem |
| Cryosieve | Zhu et al. (ref 41) | https://pypi.org/project/cryosieve/ |
| Coot | Emsley et al. (ref 42) | https://www2.mrc-lmb.cam.ac.uk/personal/pemsley/coot/ |
| PHENIX | Adams et al. (ref 43) | https://phenix-online.org/ |
| ISOLDE | Croll (ref 44) | https://tristanic.github.io/isolde/index.html |
| PyMOL | Schrodinger LLC | https://www.pymol.org/ |
| USCF ChimeraX | Pettersen et al. (ref 45) | https://www.cgl.ucsf.edu/chimera/ |
| Other | ||
| Vivaspin 20 100 kDa MWCO concentrator | Cytiva | 28932363 |
| Vivaspin 2 100 kDa MWCO concentrator | Cytiva | 28932258 |
| Quantifoil 300 Mesh Cu R1.2/1.3 Grids | Agar Scientific | AGS143-2-100 |
| Au-Flat 300 Mesh Au R1.2/1.3 Grids | Molecular Dimensions |
GF-1.2/1.3-3AU-45nm-50 |
Resource Availability
Lead contact
Further information and requests for resources and reagents should be directed to the lead contact, Stephen Tucker (stephen.tucker@physics.ox.ac.uk)
Materials availability
Any unique reagents produced during this study can be obtained from the lead contact upon reasonable request.
Experimental Model and Study Participant Details
Sf9 cells (Thermo Fisher Scientific, Cat. No. 11496015) were used for the expression of TASK-3 proteins. For large-scale protein expression, Sf9 cells were cultured in suspension at a density of 2 × 10^6 cells per mL. The cells were infected with baculovirus at a 5% virus ratio and incubated at 27°C for 72 hours. Following infection, cells were harvested by centrifugation at 900 g for 10 minutes, frozen in liquid nitrogen, and stored at -80°C prior to purification.
Method Details
Cloning and expression of TASK-3Met1–Glu259 for structural studies
The human KCNK9 gene (GenBank ID 51305), encoding the TASK-3 protein residues M1 to E259, was subcloned into a modified version of the pFB-CT10HF-LIC vector, containing a C-terminal HRV 3C protease site instead of the Tobacco Etch Virus protease site, but with the same decahistidine and FLAG tags18. This construct was used for WT TASK-3 expression. The TASK-3 G236R mutation was introduced with Quick Change Mutagenesis, and was subcloned into the pFB-CT10HF-LIC vector. The construct and comprised residues M1 to A265, and also contained a TEV protease site followed by a decahistidine tag and a FLAG tag. Baculoviruses were generated by transformation into DH10Bac cells and transfected into Spodoptera frugiperda (Sf9) cells (Thermo Fisher Scientific) and amplified twice. Large scale expression was done by infecting Sf9 cells at a density of 2 × 106 cells per mL and a 5 % virus ratio and grown at 27°C for 72 h. Cell were harvested by centrifugation at 900 g for 10 min and frozen in liquid nitrogen and stored at −80 °C prior to purification.
Purification of TASK-1 and TASK-3
TASK-1 and TASK-3G236R proteins were purified as previously described for TASK-118, with the exception that TASK-1 was purified in n-undecyl-β-d-maltopyranoside (UDM) (Anatrace) instead of n-decyl-β-d-maltopyranoside (DM). The UDM concentrations throughout purification were 1% w/v for solubilisation, 0.09% for wash, elution and desalting buffers, and 0.045% for size exclusion buffer. The TASK-3 protein was purified by breaking the cells in 40 ml breaking buffer (50 mM HEPES pH 7.5, 200 mM KCl, 5% v/v glycerol) containing cOmplete EDTA-free Protease Inhibitor Cocktail (Roche) using an EmulsiFlex-C5 high-pressure homogenizer (Avestin). For solubilisation, 1% DM and 0.1% CHS Tris salt was added and rotated for 1 h at 4°C. The solubilised fraction was separated from cell debris by centrifugation at 35,000 g for 1 h at 4 °C and the supernatant then collected. To collect the histidine tagged protein, 0.5 ml TALON resin (Takara Bio) per initial litre of cell culture was added, as well as imidazole at pH 8.0 to a final concentration of 5 mM. Following incubation for 1 h at 4 °C, the Talon resin was collected and washed with 15 column volumes of wash buffer (50 mM HEPES pH 7.5, 200 mM KCl, 5% v/v glycerol, 20 mM imidazole pH 8.0, 0.24% w/v DM, 0.024% w/v CHS). The resin was transferred to a 15 ml centrifuge tube and the volume adjusted to 2 column volumes using wash buffer. Hexahistidine tagged HRV 3C protease and hexahistidine tagged PNGaseF were added to cleave the protein off the column, 150 µg and 50 µg per ml resin, respectively, and incubated for 16-20 h at 4 °C. The flow through was collected and concentrated to 500 µl and injected onto a Superose 6 Increase 100/300 GL column (Cytiva) in gel filtration buffer (20 mM HEPES pH 7.5, 200 mM KCl, 0.12% w/v DM, 0.012% w/v CHS). Fractions containing TASK-3 were pooled and concentrated with a 100 kDa molecular weight cut off spin concentrator (Cytiva).
Cryo-EM grid preparation and data collection
For TASK-1 (3.6 mg mL-1) and TASK-3 (8 mg mL-1), 3 μL were adsorbed to glow-discharged holey carbon-coated grids (Quantifoil 300 mesh, Cu R1.2/1.3). were then blotted for 3 to 6 s at 100% humidity (4 °C) and frozen in liquid ethane using a Vitrobot Mark IV (Thermo Fisher Scientific). Data were collected in counted superresolution bin 2 mode on a Titan Krios G3 (FEI) operating at 300 kV with a BioQuantum imaging filter (Gatan), and K3 direct detection camera (Gatan) at ×105,000 magnification, physical pixel size of 0.832 Å. Collection of TASK-1 data was conducted at a total dose rate of 41.173 e−/Å2 and 17,288 movies were collected in total. The grids used for collecting this TASK-1 data were prepared after adding 1.3 µM ONO-RS-082, a TASK-1 activator, but density corresponding to this small molecule activator could not be identified in the Coulomb potential map possibly due to the relatively low solubility of the compound and low final concentration that was used. The TASK-3 data were collected with a total dose of 39.56 e−/Å2 and 21,364 movies were collected in total. For TASK-3G236R (6 mg mL-1) the same process was conducted using holey gold grids (Au-Flat 300 mesh, R1.2/1.3, 45 nm gold film) with a total dose rate of 40.877 e−/Å2 and 20,627 movies.
Image processing
Initial micrograph processing of all three datasets was conducted using the SIMPLE pipeline37, using SIMPLE preprocess_stream for motion correction and patched contrast transfer function (CTF) estimation. Particles were picked from a subset of each dataset, and extracted in SIMPLE. All further processing was done in cryoSPARC38. Motion corrected micrographs were imported to cryoSPARC and CTF estimation was done. The initial particles extracted in SIMPLE were imported and subjected to 2D classification rounds and ab-initio reconstitution to yield a volume which templates for picking were generated. Particle repicking from the full dataset was done using the template picker within cryoSPARC. All further processing was done in cryoSPARC unless stated otherwise. For WT TASK-1, 8,116,956 particles were extracted and underwent one round of unmasked 2D classification, followed by four rounds of masked 2D classification and junk particles were removed. The resulting set of 1,076,556 particles were classified by five C1 ab initio classes and after heterogenous refinement, three of these were selected for further processing. After one round of masked 2D classification, the remaining 680,017 particles were classified in three C2 ab initio classes. After heterogenous refinement and homogenous refinement of one class, the particles (358,967) were exported to RELION-539, using the csparc2star.py script within UCSF pyem and subjected to Bayesian polishing. The polished particles were run through cryosieve40 and particle stacks were imported back into cryoSPARC38. To find the highest resolution stack, each stack was subjected to one round of 2D classification, ab initio reconstruction in C1 followed by homogenous and heterogenous refinements, both in C2. The final particle set (117,627) yielded a map of 3.13 Å resolution, based on the FSC = 0.143 criteria. For TASK-3, 12,215,148 particles were initially extracted, which underwent two rounds of 2D classification. Subsequently, five C1 ab initio classes were generated from 1,904,926 particles. Following heterogeneous and non-uniform refinement, 597,895 particles were selected for further analysis. After 2D classification, ab initio reconstruction in C2 with five classes, and heterogenous refinement applying C2 symmetry, one class with 286,131 particles was subjected to homogenous and non-uniform refinements in C2. These particles were then exported to RELION and Bayesian polished, run through cryosieve and particle stacks were imported back into cryoSPARC, where they were processed as described above for TASK-1. The final C2 map from 93,760 particles was resolved to 3.32 Å. For TASK-3G236R, 8,932,733 particles were extracted and subjected to one round of unmasked 2D classification, followed by five rounds of masked 2D classification, resulting in a set of 2,014,115 particles. These were sorted into five C1 ab initio classes and underwent heterogenous refinement. Three classes, containing junk and lower resolution particles, were discarded and the remaining two were classified in 2D to remove further junk particles, resulting in a set of 1,145,364 particles. They were then classified into three C2 ab initio classes and after heterogenous refinement, one class underwent heterogenous refinement. These particles were Bayesian polished in RELION and narrowed down using cryosieve. Particle stacks were imported to cryoSPARC and went through 2D classification, ab initio reconstruction of one class in C1, and refinements in C2, as described for the TASK-1 map. The final particle set of 124,588 particles yielded a map at 2.48 Å.
Model building, fitting and refinement
Both TASK-3 models were manually built in the map on Coot to generate the initial model. After which the models were manually readjusted using COOT42 and refined using phenix.real_space_refine3. For TASK-1, the X-ray crystal structure (PDB ID: 6RV2) was used as a starting model and manually fitted into the map in COOT. Final models were run through ISOLDE44 and refined in phenix.real_space_refine using the generated ISOLDE models as references. Figures depicting structures were prepared using PyMOL (Shrodinger, LLC) or UCSF Chimera45.
Electrophysiology
The WT TASK-3 gene (KCNK9) was subcloned into a plasmid vector (pFAW) for Xenopus laevis oocyte transcription and expression. The mutations were introduced through site-directed mutagenesis and unless stated otherwise the two-electrode voltage clamp recordings were performed as previously described11. Vector DNA was linearized with NheI or MluI and cRNA synthesized in vitro using the SP6 or T7 AmpliCap Max High Yield Message Maker Kit (Cellscript, USA) or HiScribe® T7 ARCA mRNA Kit (New England Biolabs) and stored at -20°C. TEVC recordings were performed in Xenopus laevis oocytes at room temperature. Oocytes were injected with 1 ng of cRNA for WT or mutant TASK-3 and incubated for 2 days at 18°C. Microelectrodes were fabricated from glass pipettes, back-filled with 3 M KCl, and had a resistance of 0.2 - 1.0 MΩ. For inside-out patch-clamp recordings oocytes were incubated in a solution containing (mM): 54 NaCl, 30 KCl, 2.4 NaHCO3, 0.82 MgSO4 x7H2O, 0.41 CaCl2, 0.33 Ca(NO3)2 x4H2O and 7.5 TRIS (pH 7.4 adjusted with NaOH/HCl) for 1-7 days before use. Inside-out patch-clamp recordings were performed at room temperature with patch pipettes were made from thick-walled borosilicate glass with resistances of 0.3 - 0.5 MΩ (tip diameter of 15-25 µm) and filled with a pipette solution (in mM): 120 KCl, 10 HEPES and 3.6 CaCl2 (pH 7.4 adjusted with KOH/HCl). Intracellular bath solutions and compounds were applied to the cytoplasmic side of excised patches via a gravity flow multi-barrel pipette system. Intracellular solution had the following composition (in mM): 120 KCl, 10 HEPES, 2 EGTA and 1 Pyrophosphate (pH adjusted with KOH/HCl). Currents were recorded and sampled at 10 kHz or higher and filtered with 3 kHz (-3 dB) or higher as appropriate.
Quantification and Statistical Analysis
The cryo-EM reconstruction and model building for TASK-1, TASK-3, and TASK-3 G236R were conducted using the procedures outlined in the detailed methods section. The software packages used included SIMPLE, cryoSPARC, RELION, PYEM Cryosieve, Coot, PHENIX and ISOLDE, as listed in the Key Resources Table. Final model statistics are provided in Table S1. All graphs of functional data were generated using Origin 2016 (OriginLab Corporation, Northampton, MA). Bars represent mean ± SEM. Unless otherwise stated, unpaired student t-test was used for statistical analysis, with α = 0.05 as threshold of significance (∗∗∗ = p≤0.0001). To minimise variability in recordings across different batches of oocytes, the recordings of mutant channels were normalised to the mean corresponding WT current from the same batch of oocytes. This allows the consistent comparison of the fold-change in current between the mutant and WT channel across different batches of oocytes. Every experiment was repeated at least on two different batches of oocytes to ensure reproducible and reliable results.
Supplementary Material
Acknowledgments
This work was supported by grants from the Biotechnology and Biological Sciences Research Council and Medical Research Council to S.J.T, S.N and K.E.J.R (BB/T002018/1, BB/S008608/1 and MR/W017741/1) and from the Deutsche Forschungsgemeinschaft to M.S. (SCHE 2112/1-2) and T.B (BA 1793/6-2) as part of the Research Unit FOR2518, DynIon. We would also like to acknowledge contributions from David Speedman and other members of the Centre for Medicines Discovery, Oxford during the early stages of this project and to Kathryn Smith for her assistance. Electron microscopy was provided through the Central Oxford Structural Molecular Imaging Centre (COSMIC).
Footnotes
Author contributions
S.J.T., S.N., P-R.H and K.E.J.R. conceived/designed the principal elements of the study. All authors generated, analyzed or interpreted data or generated materials. P-R.H, S.J.T, and K.E.J.R drafted the manuscript and all authors contributed to the final version.
Declaration of interests
The authors declare no competing financial interest.
Data and Code Availability
The atomic coordinates for the models have been deposited in the Protein Data Bank (PDB) with the accession numbers 9G9V, 9G9W, and 9G9X. Coulomb potential maps have been deposited in the EMDB database, under the following accession codes: EMD-51158, EMD-51159, and EMD-51160. All data created or analyzed during this research are provided within the manuscript and supplementary materials. Additional details required to replicate or further analyze the data can be obtained by contacting the lead author. No original code has been generated or reported in this study.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The atomic coordinates for the models have been deposited in the Protein Data Bank (PDB) with the accession numbers 9G9V, 9G9W, and 9G9X. Coulomb potential maps have been deposited in the EMDB database, under the following accession codes: EMD-51158, EMD-51159, and EMD-51160. All data created or analyzed during this research are provided within the manuscript and supplementary materials. Additional details required to replicate or further analyze the data can be obtained by contacting the lead author. No original code has been generated or reported in this study.




