Maofu Liao1, Erhu Cao, David Julius, Yifan Cheng. 1. 1] Keck Advanced Microscopy Laboratory, Department of Biochemistry and Biophysics, University of California, San Francisco, California 94158-2517, USA [2].
Abstract
Transient receptor potential (TRP) channels are sensors for a wide range of cellular and environmental signals, but elucidating how these channels respond to physical and chemical stimuli has been hampered by a lack of detailed structural information. Here we exploit advances in electron cryo-microscopy to determine the structure of a mammalian TRP channel, TRPV1, at 3.4 Å resolution, breaking the side-chain resolution barrier for membrane proteins without crystallization. Like voltage-gated channels, TRPV1 exhibits four-fold symmetry around a central ion pathway formed by transmembrane segments 5-6 (S5-S6) and the intervening pore loop, which is flanked by S1-S4 voltage-sensor-like domains. TRPV1 has a wide extracellular 'mouth' with a short selectivity filter. The conserved 'TRP domain' interacts with the S4-S5 linker, consistent with its contribution to allosteric modulation. Subunit organization is facilitated by interactions among cytoplasmic domains, including amino-terminal ankyrin repeats. These observations provide a structural blueprint for understanding unique aspects of TRP channel function.
Transient receptor potential (TRP) channels are sensors for a wide range of cellular and environmental signals, but elucidating how these channels respond to physical and chemical stimuli has been hampered by a lack of detailed structural information. Here we exploit advances in electron cryo-microscopy to determine the structure of a mammalianTRP channel, TRPV1, at 3.4 Å resolution, breaking the side-chain resolution barrier for membrane proteins without crystallization. Like voltage-gated channels, TRPV1 exhibits four-fold symmetry around a central ion pathway formed by transmembrane segments 5-6 (S5-S6) and the intervening pore loop, which is flanked by S1-S4 voltage-sensor-like domains. TRPV1 has a wide extracellular 'mouth' with a short selectivity filter. The conserved 'TRP domain' interacts with the S4-S5 linker, consistent with its contribution to allosteric modulation. Subunit organization is facilitated by interactions among cytoplasmic domains, including amino-terminal ankyrin repeats. These observations provide a structural blueprint for understanding unique aspects of TRP channel function.
TRP channels represent a large and diverse family of non-selective cation channels that respond to a wide range of chemical and physical stimuli[1,2]. Genetic and pharmacologic studies highlight the importance of TRP channels in numerous biological processes ranging from calcium adsorption to sensory transduction[3], and thus elucidating how these channels respond to physiological stimuli or drugs is relevant to understanding disorders affecting every major organ system in the body. TRP channels are believed to resemble voltage-gated potassium (Kv) or sodium (Nav) channels in overall transmembrane topology and subunit organization[1]. However, aside from the fact that some TRP channels exhibit mild voltage sensitivity[4], they otherwise share little in common with voltage-gated ion channels (VGICs) vis-à-vis pharmacological and biophysical properties. Whereas crystal structures have been determined for VGICs[5-8], this has not been accomplished for any member of the TRP channel family. Thus, it is currently unknown whether, or to what extent, TRP and Kv or Nav channels share a common structural core, or how structural similarities and differences account for unique functionalities.TRPV1 is the receptor for capsaicin, the pungent agent from chili peppers that elicits burning pain[9]. It is also the founding member of a subfamily of thermosensitive TRP channels that enable somatosensory neurons, or other cell types, to detect changes in ambient temperature. TRPV1 is activated by noxious heat and modulated by inflammatory agents, such as extracellular protons and bioactive lipids, which contribute to painhypersensitivity[9-13]. TRPV1 is arguably the best-characterized member of the vertebrate TRP family; its widely validated role in pain physiology and the availability of well characterized pharmacological agents make it a ‘poster child’ for elucidating basic principles underlying TRP channel function and structure. Moreover, TRPV1 and other somatosensory TRP channels are considered important targets for analgesic drugs[12,13], providing further impetus to determine a structure for any member of this extended protein family.In recent years, single-particle electron cryomicroscopy (cryo-EM) has enabled three-dimensional (3D) reconstruction of large protein complexes to near atomic resolution[14-17], but analysis of small membrane proteins, such as TRP channels[18-20], remained at low resolution. Here, we exploit a newly developed direct electron detector and new image processing algorithms to correct motion-induced image blurring and improve signal and contrast of small particle cryo-EM images[14,15]. With these tools, we determine the structure of TRPV1 at 3.4Å resolution without crystallization. Thus, in addition to revealing a TRP channel structure, we showcase single-particle cryo-EM as a powerful and transformative advance in the structural analysis of membrane proteins.
General architecture of TRPV1
We first identified a ratTRPV1 deletion mutant with enhanced biochemical stability (Extended Data Figs. 1 and 2). When expressed in mammalian cells or oocytes this modified subunit responded to numerous TRPV1 stimuli, including capsaicin, resiniferatoxin, extracellular protons, spider toxins, and heat, and like the wild type channel showed relatively high permeability for calcium[21,22]. Thus, biophysical and structural information gleaned from this minimal TRPV1 construct should accurately reflect properties of the wild type channel.
Figure 1
3D reconstruction of TRPV1 determined by single-particle cryo-EM
a, Representative electron micrograph of TRPV1 protein embedded in a thin layer of vitreous ice recorded at a defocus of 1.7µm. b, Fourier transform of micrograph shown in a, with Thon rings extending to nearly 3Å. c, Enlarged views of three representative 2D class averages show fine features of tetrameric channel complex. d–g, 3D density map of TRPV1 channel filtered to a resolution of 3.4Å (scaled to atomic structure) with each subunit color-coded. Four different views of the channel are shown, from side (d, e), top (f), and bottom (g). The arrow in panel d indicates β-sheet structure in the cytosolic domain of TRPV1.
Figure 2
TRPV1 and VGICs share similar 4-fold symmetric architecture
a–d, Ribbon diagram of TRPV1 atomic model with each of the four identical subunits color-coded, showing views from side (a and b). The dimensions of the channel and the length of the membrane-spanning helices are indicated. The dimensions of the TRPV1 tetramer are 100Å by 110Å by 110Å, as compared with 135Å by 95Å by 95Å for the rat Kv1.2 potassium channel[7]. c, Ribbon diagram focusing in on side view of S5-P-S6 pore with TRP domains. d, Bottom view focusing on transmembrane core, including S1–S4, S5-P-S6, and TRP domains. Note that S1–S4 domains flank and interact with S5-P-S6 pore modules from adjacent subunit, reminiscent of VGIC architecture.
We initiated structural analysis using negative stain EM (Extended Data Fig. 3) followed by cryo-EM 3D reconstruction of images recorded at 200kV with a phosphor scintillator based CMOS camera (Extended Data Fig. 4 and 5). We then collected a cryo-EM dataset at 300kV using a direct detection camera following newly implemented procedures of dose fractionation and motion correction[15]. Thon rings were visible to ~3Å in Fourier power spectrum of almost every motion corrected image (Fig. 1a, b and Extended Data Fig. 6). Two-dimensional (2D) class averages of particle images (Fig. 1c and Extended Data Fig. 7) showed greater detail than those calculated from CMOS camera images (Extended Data Fig. 4e, f), demonstrating significant improvement of data quality. The final 3D reconstruction of TRPV1 has an overall resolution of 3.4Å, using gold standard Fourier shell correlation (FSC) = 0.143 criteria (Fig. 1d–g and Extended Data Fig. 8)[23].
Figure 3
Structural details of a single TRPV1 subunit
a, Linear diagram depicting major structural domains in a TRPV1 subunit, color coded to match ribbon diagrams below. Dashed boxes denote regions for which density was not observed (first two ankyrin repeats) or where specific residues could not be definitively assigned (C-terminal β-strand). b, Ribbon diagrams showing three different views of a TRPV1 monomer denoting specific domains.
Figure 4
Unique structural features of TRPV1
a, Alignment of S1–S4 transmembrane domains from TRPV1 (salmon), Kv1.2/2.1 chimera (PDB 2R9R; grey), and NavAb (PDB 3RVY; blue) show substantial overlap. b, When S5-P-S6 pore regions are aligned, the S1–S4 domains show differential relative orientations. c, The S4–S5 linker is an amphipathic α-helix whose charged surface faces the cytosol. Potential cation-π interactions between Y565 in the S4–S5 linker and R579 from S5 of the adjacent subunit are highlighted. Mutations of cognate residues in TRPV4 render the channel constitutively active and cause skeletal dysplasia. d, Aromatic side chains from S1, S3 and S4 helices create a hydrophobic interior in the S1–S4 domains, in contrast to the charged environment observed in VGICs. e, Two different views highlight interactions between TRP domain and S4–S5 linker and pre-S1 helix. Interactions (i.e. hydrogen bonds and salt bridge) are indicated by dashed lines.
Figure 5
The ion permeation pathway of TRPV1
a, Cryo-EM densities of the pore in longitudinal cross section are superimposed on an atomic model. Only two diagonally opposed subunits are shown for clarity. Several residues along the pore are labeled for orientation. Arrows denote positions of density maps for horizontal cross sections shown in panels d–g, as indicated. b, Solvent-accessible pathway along the pore mapped using the HOLE program. Residues located at the selective filter and lower gate are rendered as sticks. c, radius of the pore calculated with program HOLE. d–g, Cryo-EM densities of several residues along the pore are superimposed on the atomic model; all panels represent views along the four-fold axis, showing residues from each subunit of the homo-tetrameric channel.
Extended Data Figure 6
Motion correction improves the quality of images collected on Polora TF30 microscope using a K2 Summit direct electron detector
a, Fourier transform of a representative cryo-EM image of TRPV1 embedded in a thin layer of vitreous ice over Quantifoil hole without supporting carbon film before motion correction. b, Path of motion of 30 individual subframes, determined as described in Methods. c, d, A nearly perfect Fourier transform (c) was restored after the EM image was corrected for motion (d).
Extended Data Figure 7
Picking and 2D classification of TRPV1 Cryo-EM particles collected on Polora TF30 microscope
a, Representative cryo-EM image after motion correction. Green boxes indicate all particles that were selected by semi-automatic particle picking and 2D screening, as described in Methods. b, Gallery view of the particles shown in panel a. c, 2D class averages of cryo-EM particles show many fine features (also seen in enlarged views in Fig. 1c), and these features are not visible in the 2D class averages of cryo-EM particles from TF20 data (Supplementary Fig. 4e).
Extended Data Figure 4
Cryo-EM of TRPV1 using Tecnai TF20 microscope and TemF816 8K × 8K CMOS camera
a–d, Representative images of frozen hydrated TRVP1 in amphipols taken at different defocus levels, 3.1 (a) and 1.5 µm (b) and their Fourier transforms (c, d). Thon rings extend to ~8Å. Dash-line squares or circles indicate representative particles showing two distinctive views. e, 2D class averages of TRPV1 particles. f, Enlarged view of three representative 2D class averages.
Extended Data Figure 8
3D reconstruction of TRPV1 calculated from TF30 data
a, Gold-standard FSC curve (red) of the final 3D reconstruction, marked with resolutions corresponding to FSC = 0.5 and 0.143. The FSC curve between the final map and that calculated from the atomic model is shown in blue. The relative low value of this FSC (blue) at low frequency range (> 10Å) is likely due to the presence of amphipol density in the experimental map. b, Euler angle distribution of all particles used for calculating the final 3D reconstruction. The sizes of balls represent the number of particles. The accuracy of rotation is 3.54°, as reported by RELION. c, Different views of the 3D reconstruction low-pass filtered at 6Å and amplified by a temperature factor of −100Å2, fitted with the atomic model of TRPV1. d, Two views of the 3D reconstruction displayed at two different isosurface levels (high in yellow and low in gray). At the low isosurface level, the belt-shaped density of amphipols is visible with a thickness of ~30Å.
Side chain densities of most residues within transmembrane helices S1–S6 were clearly resolved, as well as the TRP domain following S6 and most (~80%) residues in the N-terminal segment connecting the ankyrin repeat domain (ARD) to S1 (Extended Data Fig. 9). In other cytoplasmic regions, densities were less well resolved, but anti-parallel β-strands were well separated, indicating that cytoplasmic domains were resolved to ≤4.8Å (Fig. 1d, arrow). Densities for the first two ankyrin repeats were absent in our 3D density map (Fig. 1, Extended Data Figs. 5 and 8), even though the entire ARD was present in the expressed protein. Nonetheless, the crystal structure of isolated TRPV1 ankyrin repeats[24] could be nicely docked to the density map as a rigid body without modification, as confirmed by bulky side-chain densities (Extended Data Fig. 9). Finally, we constructed an atomic model of TRPV1 in which residues L360 to A719 were built de novo, and L111 to E359 were docked from the ankyrin repeat crystal structure (Fig. 2). In the C-terminal domain, we could trace the main chain, but side chain densities were not sufficient for de novo model building.
Extended Data Figure 9
Cryo-EM densities of selected regions of TRPV1 at 3.4Å resolution
a–d, Representative cryo-EM densities (gray mesh) are superimposed on atomic model (main chain in pink) for various TRPV1 domains, as indicated. e, f, Representative cryo-EM densities (gray mesh) are docked with crystal structure of TRPV1 ankyrin repeats (PDB ID: 2PNN). Accuracy of docking was supported by fitting of several bulky side chains. Map was low-pass filtered to 3.4Å and amplified by a temperature factor −100Å2.
Extended Data Figure 5
3D reconstruction of TRPV1 calculated from TF20 data
a, Gold-standard FSC curve for the 3D reconstruction, marked with resolutions corresponding to FSC = 0.5 and 0.143. b, Side view of the 3D reconstruction low-pass filtered at 9Å and amplified by a temperature factor −1500Å2, showing transmembrane (top) and cytoplasmic (bottom) domains. The transmembrane domain roughly fitted by the atomic model of NavAb (PDB ID: 3RVY). c, Longitudinal cross section view focused on central transmembrane helices. d, Bottom-up view of the 3D reconstruction shows overall structure. e, f, Bottom-up cross section views showing the arrangement of transmembrane (e) and cytoplasmic (f) domains.
Extended Data Figure 2
Sequence alignment of TRPV1 to other TRPV family members
The rat TRPV1 construct used for this study consists of residues 110 to 764 (indicated by red arrows), excluding the highly divergent region (604–626, highlighted by cyan box). Secondary structure elements are indicated above the sequence. The starting points of six ankyrin repeats are based on a crystal structure of ARD of TRPV1 (PDB ID: 2PNN). Several critical residues discussed in the text are labeled in blue, and conserved glycine and proline residues at the turn of a β-sheet (highlighted in Figure 6) are indicated with red stars.
Our TRPV1 structure demonstrates that, despite the rather low (<20%) sequence similarity between TRPs and VGICs, these two channel families share a similar tetrameric architecture in which subunits are arranged in four-fold symmetry around a central ion permeation path. Each subunit consists of six transmembrane α-helices (S1–S6) that span the lipid bilayer (Fig. 2 and Extended Data Fig. 8), plus a re-entrant loop with a pore helix located between S5 and S6 that together assume an ‘inverted teepee’ arrangement resembling that of VGICs (Fig. 2c).Domains unique to TRP channels are immediately evident. First, we see four of six known ankyrin repeats at the N-terminus, arranged as previously described[24], followed by a linker (P360 - V415) that is conserved among TRPV subtypes and which connects the ARD to the pre-S1 helix (Fig. 3). This linker forms a tightly packed domain containing β-strand and α-helical elements, and is sandwiched between the sixth ankyrin repeat on one side and the pre-S1 helix and TRP domain on the other. Interestingly, an anti-parallel β-sheet from the linker region and a β-strand from the C-terminus make contact with two ankyrin repeats from an adjacent subunit (Figs. 1d, 2a, and 3b), an interaction that likely plays a role in channel assembly, reminiscent of the T1 domain in Kv channels. Another unique feature is the extended and kinked interfacial helix following S6, which corresponds to the signature ‘TRP domain’ found in many TRP channels[2]. This domain is strategically located to interact with both the S4–S5 linker and pre-S1 helix (E416 - R428), likely providing a physical substrate through which stimuli allosterically affect pore conformation (Fig. 3).
The transmembrane core
In VGICs, the transmembrane core is organized into two distinct clusters that include the central ion-conducting pore formed by tetrameric assembly of S5-P-S6 domains, and surrounding S1–S4 voltage sensing domains[25,26]. Each S1–S4 domain associates with the S5-P-S6 region of an adjacent subunit, forming a pinwheel-like structure through this ‘domain swap’ organization. Remarkably, we find that TRPV1 adopts this same overall configuration (Fig. 2d), despite minimal sequence and functional similarity to VGICs[1,4]. When pore regions (S5-P-S6) of three channels (TRPV1, Kv1.2/2.1 chimera and NavAb) are aligned, the relative positions of S1–S4 domains differ, even though the domains themselves show substantial overlap (Fig. 4a, b), perhaps reflecting intrinsic structural differences or distinct physiological states (e.g. open, closed, or desensitized). Within each TRPV1 subunit, the S1–S4 and S5-P-S6 units are connected by a helical S4–S5 linker that runs parallel to the membrane, again reminiscent of VGICs (Figs. 3 and 4c, Extended Data Fig. 10a).
Extended Data Figure 10
Details of domain interactions and outer pore configurations
a–d, Cryo-EM densities (gray mesh) of highlighted regions of TRPV1, as indicated, at 3.4Å resolution are superimposed onto atomic model. Map was low-pass filtered to 3.4Å and amplified by a temperature factor −100Å2. e, Superimposition of TRPV1 (salmon) with Kv1.2/2.1 chimera (PDB ID: 2R9R; grey). f, Superimposition of TRPV1 (salmon) with NavAb (PDB ID: 3RVY; blue). In each case, substantial structural differences are observed in the outer pore region. Structural alignments are based on the pore domain (S5-P-S6).
In VGICs, S3 and S4 helices engage in extensive side chain interactions, forming a charge transfer center that facilitates movement of S4 in response to changes in membrane potential[5,7]. Interestingly, the equivalent region of TRPV1 lacks charged side chains and is, instead, replete with aromatic residues (Fig. 4d and Extended Data Fig. 10b). The importance of this aromatic cluster is underscored by studies demonstrating that replacement of these amino acids (Y441, Y444, Y554, and Y555) with small non-aromatic residues produces non-functional channels[27,28]. Such hydrophobic packing might impart rigidity to the S1–S4 domain, allowing it to serve as a relatively stationary anchor upon which the S4–S5 linker moves to facilitate TRPV1 gating. Indeed, as discussed in the accompanying study[29], the entire S1–S4 domain remains static during channel activation, but provides an external surface for the binding of lipophilic ligands, such as capsaicin and resiniferatoxin. Thus, unique biochemical interactions within this structurally conserved S1–S4 domain likely reflect differential sensitivities of VGICs and TRPs to specific physiologic stimuli (i.e. voltage versus lipid metabolites).
The TRP domain and S4–S5 linker
The TRP domain, a 23–25 amino acid-long region located just after S6, is found in many TRP family members and has been proposed to engage in subunit assembly or allosteric modulation of channel gating[1,2,30]. We find that the TRP domain assumes a α-helical structure that runs parallel to the inner leaflet of the membrane by virtue of a sharp bend after S6 (Fig. 2c). This α-helix encompasses the first two-thirds of the TRP domain, after which the structure transitions to a random coil (Fig. 3b). An invariant tryptophan (W697) near the middle of the TRP domain forms a hydrogen bond with the main chain carbonyl oxygen of F559 at the beginning of the S4–S5 linker (Extended Data Fig. 10c). Interestingly, gain-of-function mutations at this equivalent tryptophan in TRPV3 underlie a congenital disorder, Olmsted syndrome, in humans[31]. Moreover, charged side chains within the TRP domain are located on the side of the helix facing the cytoplasm, where they interact with the pre-S1 helix via hydrogen bonding and salt bridging (Fig. 4e and Extended Data Fig. 10c, d). Taken together, these observations are consistent with a role for the TRP helix as a point of structural integration that facilitates allosteric coupling between channel domains.In VGICs, the S4–S5 linker plays a critical role in coupling the movement of the S1–S4 voltage sensor to gating of the pore[5-8,32]. Gain-of-function mutations within the S4–S5 linker or S5 helix of TRPV4 enhance basal open probability and result in skeletal dysplasia syndromes[33]. Interestingly, a cation-π interaction can be seen between residues at equivalent positions in TRPV1, namely Y565 in the S4–S5 linker of one subunit and R579 in S5 of a neighboring subunit (Fig. 4c and Extended Data Fig. 10a). Thus, in addition to covalent intra-subunit interaction between the S4–S5 linker and S5-P-S6 pore region, functional coupling may also be achieved through weak trans-subunit interactions.
The pore and ion permeation pathway
The outer pore region of TRPV1 is wide open compared to Kv channels, with a broad funnel-like structure that likely enhances accessibility to both small and large pharmacophores (Fig. 5a, b). Indeed, as described in the accompanying study[29], the uppermost regions of the pore loop proximal to S5 and S6 form a binding site for spider toxins. Further down the central canal, we see a short selectivity filter (643GMGD646) in which backbone carbonyls or side chains point into the central pathway (Fig. 5a–e). TRPV1 and related subtypes are highly calcium permeable[9,34] and molecular modeling studies predict a selectivity filter diameter of ~6Å[35,36]. In our structure, we see a restriction point of 4.6Å between diagonally opposed carbonyl oxygens at G643 (Fig. 5a–c, e), suggesting that the selectivity filter is in a non-conducting state, reminiscent of inactivated bacterial NavRh channels[8]. Indeed, as we show in the accompanying study[29], the selectivity filter diameter increases substantially when TRPV1 is in its activated state. The overall arrangement that we see for TRPV1 – namely, a wide outer pore with a short selectivity filter - more closely resembles that of bacterial Nav channels than Kv channels (Extended Data Fig. 10e, f)[5-8]. However, TRPV1 lacks hydrogen bonding within and between adjacent pore helices, in contrast to Nav channels, where such elaborate interactions are believed to impart rigidity to the selectivity filter[7]. This more flexible architecture, together with a short selectivity filter, may underlie the phenomenon of pore dilation seen in several TRP channels, including TRPV1, whereby prolonged or repetitive activation renders the channel permeable to large organic cations[21,37]. Interestingly, when compared with TRPV1-4, TRPV5/6 subtypes bear distinct sequences at the selective filter (i.e., T-V/I-I-D versus G-M/L-G-D/E), as well as the pore helix, suggesting a different architecture of the outer pore domain (Extended Data Fig. 2). This divergence may underlie the fact that TRPV5/6 exhibit more pronounced selectivity for calcium over monovalent cations (PCa2+/PNa+ > 100) compared to other TRPV subtypes (PCa2+/PNa+ ≈ 3–10) (ref[34]).Continuing down the pore, we see a constriction site in which I679 in S6 helices from each subunit come together to form a hydrophobic seal measuring 5.3Å between side chains, thus constituting the most constricted point in the lower gate (Fig. 5a–c, g). Modeling studies, together with substituted cysteine accessibility analysis, have previously implicated I679, Y671, and L681 as candidates for this position[35,38]. Our structure indicates that side chains of Y671 are located ~10Å above the narrowest point formed by I679 (Fig. 5a, f), while the side chain of L681 points away from the ion conduction pathway, making Y671 and L681 unlikely major contributors to the lower gate. Of note, TRPV subtypes exhibit high sequence similarity throughout the S6 helix, and all contain an isoleucine at the position equivalent to I679 in TRPV1 (Extended Data Fig. 2), suggesting a similar architecture in the lower gate. Whereas the narrowest constriction site in bacterial KcsA and NavAb channels is located at the apex of the inverted teepee[7,39], the I679 restriction point is higher in the TRPV1 permeation pathway, sitting ~10Å above the S6 bundle crossing. The structure shown here apparently represents TRPV1 in the closed state, a conclusion that is validated by comparison with structures representing agonist bound states of the channel described in the accompanying study[29].
Ankyrin repeats form an assembly domain
A characteristic feature of many TRP channels is the presence of ankyrin repeats within the cytoplasmic N-terminus[40]. In our structure, residues in the atypically long finger 3 and inner helices of ankyrin repeats 3 and 4 from one subunit interact with a three-stranded anti-parallel β-sheet formed by the ARD-S1 linker region (K368-D383) and C-terminus of an adjacent subunit, packing the cytosolic part of the channel together (Fig. 6). Moreover, the β-sheet structure tethers cytoplasmic N- and C-terminal domains together within the same subunit, reminiscent of GIRK channels, where N- and C-termini interact through a short parallel β-sheet[41,42]. Interestingly, two residues (G375 and P376) that produce the sharp turn connecting the N-terminal β-strands are invariant among all TRPV subtypes (Extended Data Fig. 2), supporting the proposed functional importance of the β-sheet in subunit structure and assembly.
Figure 6
Cytosolic interactions mediated by ankyrin repeat domains
a, Cryo-EM density is well fitted by crystal structure of TRPV1 ankyrin repeats 3–6 (PDB code: 2PNN) as a rigid body. Ankyrin repeats 1 and 2 are not observed, presumably due to high flexibility. b, Fingers 3 and inner helices from ankyrin repeat 3 and 4 on the concave surface of the ARD interact with β–strands from the linker and C-terminus of an adjacent subunit.
In the TRPV1 ARD crystal structure, ATP is bound within the concave surface formed by ankyrin repeats 1–3 and has been proposed to both stabilize the ARD fold and regulate Ca2+-calmodulin-dependent desensitization[24]. Moreover, a number of mutations that render TRPV1 or other TRPV channels constitutively active lie in the vicinity of the proposed ATP binding site[22,43], further indicating that the ARD is an important locus for channel modulation. Our structural data suggest that modulation may also involve perturbation of subunit-subunit interactions. At the same time, the ARD surface forms an extensive cytoplasmic skirt, much of which remains available for interaction with other, as yet unidentified cellular factors. Whether and how these regions contribute to channel regulation may be revealed by structures of TRPV channels in complex with physiological modulators that target this domain.
Concluding remarks
TRP channels represent one of the last major ion channel families to yield to structure determination at the atomic level. Obtaining crystals for membrane proteins, particularly of mammalian origin, is generally challenging, perhaps especially so for TRP channels, which respond to diverse stimuli (chemical and physical) and are therefore believed to be conformationally dynamic. If so, then this represents an additional obstacle to coaxing these proteins into forming well-ordered crystal lattices required for X-ray or electron crystallographic analysis. We have circumvented this problem by taking advantage of recent technological breakthroughs in single-particle cryo-EM to gain high-resolution structural information of purified TRP channels under conditions that do not require absolute conformational homogeneity (supported by the fact that only a subset of the dataset was used to generate the final 3D reconstruction), or large amounts of material. We expect that this approach will be particularly powerful for analyzing heterogeneous populations of channels with the goal of identifying and characterizing different conformational states en route to gating, or in complex with agonists, drugs, or other modulators. Indeed, we provide a demonstration of this in the accompanying study[29].
Methods Summary
A minimal functional ratTRPV1 construct was cloned into a modified Bacmam vector (Invitrogen) containing an N-terminal fusion cassette (Kozac-MBP-Tev protease site) for purification on amylose resin. TRPV1 protein was expressed in HEK293S GnTI− cells grown in suspension at 37°C. Cells were harvested 48 hours post transduction for preparation of crude membrane and subsequent protein purification, as described[10]. Negative stain EM and cryo-EM were carried out following established protocols[15,44]. At 3.4Å resolution, the cryo-EM map was of sufficient quality for de novo atomic model building. A poly-alanine model was first built in Coot and amino acid assignment subsequently achieved based mainly on the clearly defined side chains densities of bulky residues such as Phe, Tyr, and Trp, as well as some Arg and Lys residues.
Online Methods
Protein expression and purification
A Bacmam vector was generated from pFastBac1 (Invitrogen) to direct protein expression in mammalian cells after baculovirus transduction[45]. In brief, the polyhedron promoter (PPH) in pFastBac1 was replaced with a mammalian cell active promoter (PCMV), immediately followed by an N-terminal fusion cassette (Kozac-MBP-Tev protease site) for affinity purification with amylose resin (New England Biolabs). A minimal functional ratTRPV1 construct, composed of amino acids 110 to 603 and 627 to 764 was cloned into this modified Bacmam vector, and recombinant baculoviruses obtained following the manufacturer’s protocol (Bac-to-Bac expression system, Invitrogen). For protein expression, HEK293S GnTI− cells[46], grown in suspension at 37°C in an orbital shaker, were transduced when cell density reached ~ 2×106/ml. Sodium butyrate was added to the culture 24 hour post transduction at a final concentration of 10 mM to boost protein expression, and cells harvested 48 hour post transduction for preparation of crude membrane and subsequent protein purification, as described[10] with slight modification. TRPV1 channel was eluted from amylose resin with buffer composed of 150 mM NaCl, 2 mM TCEP, 10% Glycerol, 20 mM HEPES, 0.5 mM DDM, 0.1 mg/ml soybeanlipids, and 20 mM maltose, then incubated with TEV protease for 4 hours at 4°C. The cleaved protein sample was then mixed with amphipols at 1:3 (w/w) with gentle agitation for another 4 hours. Detergent was removed with Bio-Beads SM-2 (4°C overnight, 15 mg per 1 ml channel/detergent/amphipols mixture). Bio-beads were then removed over a disposable polyprep column, and eluent cleared by centrifugation before further separation on a Superdex 200 column in buffer composed of 150 mM NaCl, 20 mM HEPES, 2 mM TCEP, pH 7.4. The peak corresponding to tetrameric TRPV1 channels was collected for analysis by cryo-EM.
Cell imaging and electrophysiology
Forty-eight hours post transduction, HEK293S GnTI− cells were loaded with Fura-2 AM in physiologic Ringer’s buffer (140 mM NaCl, 5 mM KCl, 2 mM CaCl2, 2 mM MgCl2, 10 mM HEPES, pH 7.4) for ratiometric calcium imaging. Currents were recorded at room temperature in the whole-cell patch-clamp configuration. The intracellular solution contained 150 mM NaCl, 10 mM HEPES, 10 mM EGTA, pH 7.4. DkTx and capsaicin were freshly diluted into this buffer and applied via an in-line perfusion system (Automatic Scientific). To obtain proton-evoked current, buffer consisting of 150 mM NaCl, 10 mM sodium acetate, 10 mM EGTA, pH 5.0 was perfused onto TRPV1-expressing cells. Purified TRPV1 protein was also reconstituted into soybeanlipid liposomes, and activation by capsaicin or heat examined by patch-clamp analysis, as described[51]. To estimate ion permeability ratios, the intracellular solution contained: 150 mM NaCl, 10 mM HEPES, 10 mM EDTA, pH 7.4, and extracellular solutions contained: (A) 150 mM KCl, 10 mM HEPES, 10 mM EDTA, pH 7.4; (B) 150 mM CsCl, 10 mM HEPES, 10 mM EDTA, pH 7.4; (C) 110 mM CaCl2, 10 mM HEPES, pH 7.4. Resiniferatoxin, capsaicin, and DkTx were diluted in appropriate solution immediately before use, and applied to the TRPV1-expressing cell using an in-line perfusion system.
EM data acquisition
Detergent solubilized TRPV1 particles were monodispersed as assessed by negative stain EM (Supplementary Fig 3a, b), enabling us to obtain a 3D reconstruction by random conical tilt (Supplementary Fig. 3c, d), which served as an initial model for cryo-EM 3D refinement. Grids for negative stain EM were prepared following the established protocol[44]. Specifically, 2.5µl of purified TRPV1 was applied to glow-discharged EM grids covered by a thin layer of continuous carbon film and was stained with 0.75% (w/v) uranyl formate. Negatively stained EM grids were imaged on a Tecnai T12 microscope (FEI Company, Hillsboro, OR) operated at 120 kV. Images were recorded at a nominal magnification of 67 kX using a 4K × 4K CCD camera (UltraScan 4000, Gatan, Inc., Pleasanton, CA), corresponding to a pixel size of 1.73Å/pixel on the specimen. Tilt pair images for random conical tilt 3D reconstruction were manually recorded at 50° and 0°.For cryo-EM, detergent was replaced by amphipols[47,48] in which purified TRPV1 remained stable and monodispersed (Supplementary Fig 3e–g). 2µl of purified TRPV1 sample at a concentration of ~0.3mg/ml was applied to a glow-discharged Quantifoil holey carbon grid (1.2µm hole size, 400 mesh), blotted inside a Vitrobot Mark III (FEI Company) using 6s blotting time with 90% humidity, and then plunge-frozen in liquid ethane cooled by liquid nitrogen. Cryo-EM images were collected at liquid nitrogen temperature on a Tecnai TF20 electron microscope (FEI) operated at 200 kV using a CT3500 side entry holder (Gatan Inc.), following the low-dose procedure. On the TF20 microscope, images were recorded at a nominal magnification of 80kX using a phosphor scintillator based TemF816 8K × 8K CMOS camera (TVIPS GmbH, Gauting, Germany), corresponding to a pixel size of 0.9Å/pixel on the specimen. Images were recorded with a defocus in the range from 1.5 to 3.5µm (Extended Data Fig. 4). We determined a 3D reconstruction with C4 symmetry to an overall resolution of 8.8Å, using gold-standard Fourier Shell Correction (FSC) = 0.143 criteria[23] (Extended Data Fig. 5a). In this density map, transmembrane α-helices are clearly resolved. The shape of the cytoplasmic domain is clearly defined, but secondary structural features are not well resolved (Extended Data Figs 5b–f), likely indicating greater flexibility of this region.Another dataset of frozen hydrated TRPV1 particles were collected on a TF30 Polara electron microscope (FEI Company) operated at 300 kV. It is equipped with a K2 Summit direct electron detector camera (Gatan Inc.). Images were recorded using super-resolution counting mode following an established protocol[15]. Specifically, images from TF30 were recorded at a nominal magnification of 31kX, corresponding to a calibrated super resolution pixel size of 0.6Å/pixel on the specimen. The dose rate on the camera was set to be ~8 counts (corresponding to ~9.9 electron) per physical pixel per second. The total exposure time was 6 seconds, leading to a total accumulated dose of 41e−/Å2 on the specimen. Each image was fractionated into 30 subframes, each with an accumulation time of 0.2 s/frame. All dose-fractionated cryo-EM images were recorded using a semi-automated acquisition program UCSFImage4 (written by Xueming Li). Images were recorded with a defocus in a range from 1.5 to 3.0µm.
Image processing
SamViewer, an interactive image analysis program written in wxpython, was used for all 2D image display and particle picking. Negative stain-EM images were 2 × 2 binned for manual particle picking. Defocus was determined using CTFFIND and CTFTILT[49]. Individual particles were cut out and normalized to have a mean of 0 and a standard deviation of 1. For 2D classification, particles were first corrected for contrast transfer function (CTF) by flipping the phase using “ctfapply” (written by Xueming Li), and subjected to 10 cycles of correspondence analysis, k-means classification and multi-reference alignment (MRA), using SPIDER operations “CA S”, “CL KM” and “AP SH”[55]. For random conical tilt (RCT) 3D reconstruction, SamViewer was used for picking particles from the tilt-pair images, as well as determination of the tilting axes and angles. After 2D classification of untilted particles, RCT 3D reconstructions of each 2D class were calculated using FREALIGN[50].Low-dose images of frozen hydrated TRVP1 collect on TF20 were binned 2 × 2, resulting with a pixel size of 1.9Å, for image processing. For particle picking and 2D classification, images were 2 × 2 binned further to a pixel size of 3.8Å. Dose-fractionated super-resolution image stacks of frozen hydrated TRPV1 images collected using K2 Summit camera were first binned 2 × 2 resulting with a pixel size of 1.2Å for motion correction and further image processing. After motion correction[15], a sum of all subframes in each image stack was used for further processing. Particle picking and 2D classification used 6 × 6 binned images (3.6Å/pixel), and 3D classification used 4 × 4 binned images (2.4Å/pixel). Final 3D reconstruction was calculated from 2×2 binned images (1.2Å/pixel). Image binning was calculated using Fourier cropping. First, ~2,000 particles were picked interactively and classified into ~10 2D classes using the same classification procedure described above. Then, for each micrograph, the entire image was cut into a set of overlapping small images with a window of 64 × 64 pixels, all windowed images were subject to MRA against the 2D class averages generated from manually selected particles (implemented in a python script, “samautopick.py”). All particles were then displayed in SamViewer, in the order of their cross-correlation values from MRA, and a threshold was interactively set to remove the particles with cross-correlation values below the threshold. A small number of particles with blurry appearance or with obvious wrong shape and size were also removed interactively. We picked 70,585 particles from 300 cryo-EM images collected on the TF20, and 97,166 particles from 946 image stacks collected on the TF30. The selected particles were further screened by a reference-free 2D classification. A total of 45,625 particles from the TF20 data and 88,915 particles from the TF30 data were kept for determinations of 3D reconstructions.All 3D classification and refinement were carried out in RELION[51]. The RCT 3D reconstruction from negatively stained TRPV1 was low-pass filtered to 60Å, and used as the starting model for 3D classification of the TF20 data. After 25 iterations of 3D classification with 6 classes, particles in the classes that produced similar 3D reconstructions were combined for 3D auto-refinement. In this step, the 3D reconstructions from the 3D classification were low-pass filtered to 60Å and used as the starting models. 10,357 particles were used to calculate the final map (Extended Data Fig. 5). The resolution was estimated by the gold-standard FSC = 0.143 criteria, after applying a soft spherical mask on the two reconstructions refined from the half-data sets independently[23]. The resolution of the 3D reconstruction from TF20 data was estimated as 8.8Å. This 3D reconstruction was again low-passed filtered to 60Å, and used as the starting model for 3D classification of the TF30 Polara data. 3D classification and refinement were carried out using the same procedure as for the TF20 data. The 3D reconstruction calculated from selected 35,645 particles each averaged from 30 subframes of motion-corrected image stack reached a resolution of 3.6Å. Continued refinement using the same particles but averaged from subframe 3–16 improved the resolution further to 3.4Å. This was because the first 2 frames contain the most severe motion and the later frames accumulate more radiation damage[15]. The accumulated dose of the first 16 frames is 21e−/Å2 on specimen. Final gold-standard FSC curve was calculated using a soft spherical mask (with a 5-pixel fall-off) on the two independent reconstructions (Extended Data Fig. 8). The accuracies of rotation and translation reported by RELION were 3.54° and 1.358Å. RELION post-processing with auto-mask and auto-bfactor determined the resolution of the final map as 3.28Å and bfactor as -101.228. For model building and visualization, amplitude of the final 3D density map of 3.4Å resolution was amplified either by a temperature factor, −100Å2 (Fig. 5) or by frequency dependent scaling factor determined by comparing the experimental 3D density map with the ideal density map calculated from the atomic model (Fig. 1d–f, 6a)[15]. All maps shown in the figures were low-pass filtered to the stated resolutions. The map deposited to the EMDB database is the raw map without amplitude sharpening, masking or filtering. UCSF Chimera[52] was used to visualize and segment the cryo-EM maps, and the rigid body fitting of atomic model was done using the fit-in-map function from Chimera.
Model building in Coot
At 3.4Å resolution, the cryo-EM map was of sufficient quality for de novo atomic model building, except for the ankyrin repeat domain, where the density is not as well resolved as other regions of the channel. Taking advantage of the defined geometry of α-helices and clear bumps for Cα atoms, a poly-alanine model was first built in Coot[53,54]. Amino acid assignment was subsequently achieved based mainly on the clearly defined side chains densities of bulky residues such as Phe, Tyr, and Trp, as well as some Arg and Lys residues. The ankyrin repeat domain structure (PDB ID: 2PNN) was docked into the density as a rigid body without further modification. The final model includes almost all residues, except for those located at S2–S3 loop one (503–507) and a region C-terminal to the TRP domain (720–751). Although a C-terminal region of the channel (registered as 752–762 in the model) clearly assumes a β-strand secondary structure, amino acids could not be assigned since side chain density is not well resolved at this segment. The final model exhibits good geometry as indicated by the Ramachandran plot (preferred region, 95.73%; allowed region, 3.92%; outliers, 0.34%). Of note, the six transmembrane helices, TRP domain, and pre-S1 helix are devoid of any such outliers. One outlier is located at S3–S4 loop and the other resides at docked ankyrin repeats. Pore radii were calculated using the HOLE program[55].
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