Summary
Calcitonin gene-related peptide (CGRP) is a widely expressed neuropeptide that plays a major role in sensory neurotransmission. The CGRP receptor is a heterodimer of the calcitonin receptor-like receptor (CLR) class B G-protein-coupled receptor and the type 1 transmembrane domain protein, receptor activity modifying protein (RAMP) 1. Herein, we report the 3.3 Å structure of the human CGRP receptor in complex with CGRP and the Gs-protein heterotrimer determined by Volta phase plate cryo-electron microscopy. The RAMP transmembrane domain sits at the interface between transmembrane domains 3, 4 and 5 of CLR, and stabilises CLR extracellular loop 2. RAMP1 makes only limited direct interaction with CGRP, consistent with allosteric modulation of CLR as its key function. Molecular dynamics simulations indicate that RAMP1 provides stability to the receptor complex, particularly the location of the CLR extracellular domain. The work provides novel insight into the control of G-protein-coupled receptor function.
CGRP is a physiologically important sensory neuropeptide whose roles include modulation of metabolism, inflammatory response and blood pressure, as well as auditory nerve development and function1–4. It is a potent vasodilator that is released during neurogenic inflammation and contributes to the pathology of migraine. A first-in-class drug targeting the CGRP receptor was recently approved for treatment of this condition, and many other therapeutics are under development aimed at reducing CGRP activity5. In contrast, CGRP is protective in models of inflammatory bowel disease, and hypertension, and is a critical neuropeptide for development and modulation of auditory responses1–4.
Receptor activity-modifying proteins (RAMPs), are essential accessory proteins for presentation of the class B calcitonin-like receptor (CLR) to the cell surface, and integral components of the phenotypically ascribed CGRP and adrenomedullin (AM) receptors, whereby CLR/RAMP1 engenders a selective response to CGRP, and CLR/RAMP2 or CLR/RAMP3, selective AM responses6. RAMPs are also partners for the calcitonin receptor (CTR), although not required for cell surface trafficking; they generate distinct amylin receptor (AMY) phenotypes1. Considerable cross talk between calcitonin-family peptides and receptors occurs, although current work has largely been restricted to how RAMPs impact cAMP signaling1. The three RAMPs each contain an ~100 amino acid, structured, N-terminal extracellular domain (ECD), a single TM domain and a short intracellular C-terminus. There is evidence that RAMPs co-evolved with GPCRs7; supporting this, we and others have shown that they can partner with numerous GPCRs, from all major subclasses, and are not exclusively partners for CLR and CTR8–11.
Existing structures of heteromeric complexes of the isolated ECDs of RAMPs and CLR bound to C-terminal peptide fragments12,13 have provided important but limited data on how RAMPs and CLR interact, and are unable to explain peptide selectivity. Thus, structures of full-length, active CGRP and AM receptor complexes are required.
Recent advances in cryo-electron microscopy (cryo-EM) have allowed full-length, class B GPCR, peptide agonist-bound structures to be elucidated in complex with their canonical Gs-protein heterotrimers14–16. These studies revealed class-specific, conserved, global conformational changes linked to receptor activation, and unexpected divergence in the modes of peptide binding, even within the same receptor14–18. In the current work, we have used Volta phase plate (VPP) cryo-EM to determine the structure of the human CGRP receptor complex, bound to its endogenous peptide agonist and canonical transducer at a global resolution of 3.3 Å. This structure provides novel insights into how RAMPs interact with GPCRs and modulate their activity.
Structure determination
The CLR was modified to replace the native signal peptide with that of hemagglutinin (HA), and the addition of affinity tags bracketed by 3C cleavage sites at the N- and C-terminus (FLAG and His, respectively) (Ext. Data Figure 1). RAMP1 was modified with a HA signal peptide, followed by a FLAG epitope (Ext. Data Figure 1). These modifications did not alter receptor pharmacology (Ext. Data Figure 2A).
To form an active, G protein-coupled complex, CLR and RAMP1 were co-expressed with Gαs, His-Gβ1, and Gγ2 in Tni insect cells and stimulated with 10 μM CGRP. A stabilised Gαs15 was used together with camelid antibody Nb3514–16 enabling formation of a complex with improved stability19. The complex was treated with 3C enzyme to remove tags from CLR, solubilised in LMNG/cholesteryl hemisuccinate and then purified by sequential nickel and anti-FLAG columns, to ensure only RAMP1 bound complexes were present, and then further purified by SEC to yield a monodisperse complex that contained all components (Ext. Data Figure 2B, 2C).
Vitrified complexes were imaged using a Titan Krios microscope equipped with a VPP20,21. Following imaging (Ext. Data Figure 3A) and initial 2D classification (Ext. Data Figure 3B), 3D classification yielded a final map at a resolution of 3.3 Å reconstructed from 407,000 particle projections (Figure 1A; Ext. Data Figures 3C-3E; Supp. Information Table 1). The cryo-EM density map exhibited well-resolved side chains, allowing confident rotamer placements for most amino acids within the peptide, receptor and RAMP TM domains and the G-protein (Ext. Data Figure 4). The RAMP and CLR ECDs had lower overall resolution, with discontinuous density for CLR ECD loop 1 and loop 5 (Figure 1A; Ext. Data Figure 1; Ext. Data Figure 5). Nonetheless, there was a strong correlation between the ECD EM density and the individual ECDs of either CLR or RAMP1 in deposited X-ray structure (PDB: 4RWG12). As such, these were rigid body fitted into the ECD density, with side chain adjustment where this was supported by density in the EM map. While individual ECDs from the X-ray structures had close approximation to the EM map, there were distinctions in the relative positioning of the CLR and RAMP1 ECDs in the two structures (Ext. Data Figure 5) that likely arise from anchoring constraints of the transmembrane domains (TMs) in the full-length structure. Continuous density was observed for the RAMP1 ECD and TM, including the unstructured linker domain, but not for the short C-terminal tail (T144REGIV148R (superscript R refers to residues within RAMP1)), indicating that this is mobile in the active receptor complex (Figure 1). There was robust density for most of the TM core and loops of CLR, excepting segments of ECL3 and ICL3 (Figure 1; Ext. Data Figure 4). Additional density was observed adjacent to the base of TMs 2 and 4 that may represent lipid interaction with CLR (Ext. Data Figure 3G). There was a relatively short helix 8 (H8), with no density for the CLR C-terminus beyond Y4028.53 (receptor residues in superscript are defined using the class B numbering system22,14), while the far N-terminus of the ECD was also lacking density (Figure 1; Ext. Data Figure 1), indicating that these regions are also mobile. The CGRP peptide N-terminus (A1P-V23P (P in superscript refers to peptide residues)) that binds within the receptor core, was well defined in the map, while the majority of side chains in the peptide C-terminus (F27P-F37P) that interact exclusively with receptor ECDs, were also supported by density (Ext. Data Figure 4). Similar to salmon calcitonin (sCT) in the Gs-coupled CTR14 (Figure 4), there is a large kink in the peptide to enable interaction across the two receptor domains, with the CGRP linker (K24P-N26P) poorly resolved in the map. Within the receptor core, side chains that had limited density were stubbed in the model (Ext. Data Figure 1). There was well resolved density for the G-protein heterotrimer across the receptor interface and between subunits. The α-helical domain of the α-subunit was only present in a small number of the 2D class averages and was masked out during map refinement. In general, the regions of lower resolution or lacking density were segments of the complex that exhibited higher mobility in MD simulations of the full complex (Ext. Data Figure 6, Supp. Information Videos 1, 2).
The RAMP1 CLR interface
The 2D class averages reveal that there is a single predominant orientation of the ECDs of the complex, relative to the CLR/RAMP core (Ext. Data Figure 3B). This contrasts to the variability in ECD orientation observed for the CTR14. RAMP1 makes extensive contacts with CLR with ~23% of its surface buried within this interface (Figure 1B, 1C). The extensive interface across the ECDs has been previously reported in X-ray crystal structures12,23. In contrast to predictions in published models of RAMPs with either CLR or CTR24–27, the RAMP1 TM sits at an interface formed by CLR TMs 3, 4 and 5, with interactions of the upper half principally with TM5 (T2885.33/ECL2, H2895.34/ECL2, I2935.38) (Figure 2A, 2B) and at the base with TM3 (L2313.48, I2353.52, T2393.56, V243ICL2) and TM4 (W2544.44, Y2554.45, L2584.48, F2624.52) (Figure 2A, 2C). These interactions were primarily van der Waals interactions, although there was potential for H-bond formation between Y2554.45 and S141R. D113R in the membrane proximal segment of RAMP1 formed H-bonds with ECL2 residues proximal to CLR TM4 (Y278ECL2), and TM5 (T2885.33, H2895.34) (Figure 2B). Alanine mutagenesis studies of CLR residues28–33 revealed decreased CGRP potency for the Y278ECL2, T2885.33/ECL2 and W2544.44 mutants with no impact on H2895.34/ECL2, I2935.38, T2393.56, V243ICL2 and Y2554.45 mutants32,33, consistent with important but weak interactions between RAMP1 and CLR. Likewise, there was a small decrease in CGRP potency with D113RA mutation indicating an indirect impact on CGRP peptide binding34. To understand the dynamics of the RAMP1/CLR interface we performed MD simulations, following modelling of missing amino acids and side chains into the full protein complex (Ext. Data Figure 7A, 7B; Supp. Information Table 2; Supp. Information Video 1); these confirmed the importance of interactions between D113R and CLR ECL2 (Ext. Data Figure 7A). The simulations also predicted that E47ECD formed persistent H-bond interactions with R112R, in addition to H-bonds to the backbone of G108R and Ala110R in the linker region. R112R was also predicted to form less frequent H-bonds with D90ECD but may maintain more persistent ionic interactions; collectively these interactions likely contribute to the limited mobility of the RAMP1 linker and stable positioning of the ECDs relative to the receptor core (Ext. Data Figure 7A; Supp. Information Table 2; Supp. Information Videos 2, 3). From the EM map, there were no resolved interactions between the RAMP and G-protein, however, there was no density for the RAMP1 C-tail. In MD simulations where the RAMP1 C-terminus was modelled transient interactions with ICL2, and the αN-helix of the Gα-protein were predicted, with potential interactions that could extend to ICL1 (Supp. Information Table 2). Nonetheless, this segment was highly mobile in the simulations.
The CGRP binding site
The CGRP peptide forms extensive interactions with the CLR/RAMP1 complex, with 61.5% of its surface buried. Intriguingly, the only direct contact between the peptide and RAMP1 occurs at the far C-terminus of the peptide, principally with the cluster of RAMP residues (F83R-P85R) that have been previously observed in isolated ECD structures12 (Figure 3A). The N-terminal peptide loop that is constrained by C2P-C7P is deeply buried, extending into an amphipathic α-helix, until V23P, that forms extensive van der Waal interactions (Figure 3D). There are only limited H-bonds in the static structure between the peptide N-terminus and the CLR core; these include interactions between Y2925.37 and the backbone of D3P, between H2955.40 and T6P, and S286ECL2 and the backbone of H10P (Figure 3C, 3D). Of these, only the interaction between H2955.40 and T6P is functionally important, with H2955.40A reported to cause ~30-fold loss of CGRP potency in cAMP accumulation28. This amino acid is equivalent to H3025.40 of the CTR that is predicted to form a H-bond with T6P of sCT14. Alanine substitution of CGRP T6P leads to ~80-fold loss of peptide potency29, confirming the importance of this bond and other interactions. There are extensive interactions between the peptide and TM3, TM5 and ECL2 of CLR. Below H2955.40, a series of amino acids that include I2985.43, L3025.47, M2233.40 and Y2273.44 form the bottom of the peptide binding pocket (Figure 3C, 3D; Ext. Data Figure 8B). Alanine substitution of T4P leads to over 20-fold reduction in CGRP potency29, however, it forms only limited interactions with the receptor. For this amino acid, side-chain to backbone interactions within the peptide that contribute to the loop fold and initiation of the peptide helix may underlie its functional importance. T9P and H10P pack within an extended cluster of residues that include T1912.64, L1952.68, H2193.36, S286ECL2, and I284ECL2 (Figure 3C; Ext. Data Figure 8B). With the exception of S286ECL2, alanine mutation of these residues caused marked impairment in CGRP signalling28,30–32 (Ext. Data Figure 8B), with I284ECL2 and L1952.68 forming a hydrophobic barrier that coincides with the exit of the peptide from the receptor core (Ext. Data Figure 8B); MD simulations predict transient H-bond formation between T9P and H2193.36 (Ext. Data Figure 9E; Supp. Information Table 3). Alanine substitution of T9P causes a 15-fold loss of CGRP potency29, consistent with the importance of interaction of this side chain. While mutations to amino acids in the distal segment of ECL2 (S286ECL2, D287ECL2, H289ECL2, L2915.36) had relatively limited effects on CGRP potency28 (Ext. Data Figure 8B), ECL2 conformation is critical to CGRP activation of its receptor, with R2744.64 and, in particular, W283ECL2 mutation to alanine highly detrimental to CGRP signaling32 (Ext. Data Figure 8B). These amino acids are critical to the stable packing of ECL2 in the active structure, similar to those observed in other active, class B GPCR structures14–16. There are only limited contacts between ECL1 and the peptide, the most prevalent being between L16P, S17P and A199ECL1, N200ECL1, Q202ECL1 and V205ECL1 (Figure 3B; Ext. Data Figure 8B). Q202ECL1 is within weak H-bond distance of the backbone oxygen of S17P (Ext. Data Figure 8B), however, alanine mutation of Q202ECL1, N200ECL1 or V205ECL1 had no impact on CGRP peptide potency, indicating limited importance of this domain for CGRP activity30. CLR and CTR have shorter ECL1 loops compared to the related glucagon (GCGR)35, or glucagon-related peptide 1 receptor (GLP-1R)15,16. These receptors have longer TM2 and TM3 helices (Ext. Data Figure 10A, 10B) that interact with the extended helix of peptide agonists of these receptors15,16,35. In the EM map, there was no high-resolution density for ECL3 consistent with only limited interaction between CGRP and this receptor segment. This high mobility and lack of persistent interactions was also observed in our MD simulations (Ext. Data Figure 9A-F); Supp. Information Table 3; Supp. Information Video 2), while previously published alanine mutagenesis provides additional support for the limited role of this domain in CGRP-mediated cAMP production28,30 (Ext. Data Figure 8B).
V8P, L12P and L16P lie on the same face of the peptide α-helix and sit deep within a groove formed by TMs 1 and 7, where they pack among multiple receptor residues. Alanine mutation of individual receptor amino acids within this groove have very little impact on CGRP-mediated cAMP production (Ext. Data Figure 8B), consistent with only weak contacts for individual amino acids. Nonetheless, alanine substitution of either L12P or L16P markedly impaired CGRP potency36, indicating that the packing of the hydrophobic face of the peptide helix is critical for receptor activation.
In the EM structure, R11P forms polar interactions with the backbone of peptide residues T4P and C2P, with potential salt-bridge interactions with D3P and D3667.39 of the receptor, and may contribute to stability of the peptide loop conformation (Figure 3C). In MD simulations, R11P formed persistent H-bonds with D3667.39, though such interactions are not observed in the EM map. R18P is within salt-bridge distance to D287ECL2, and D90ECD, and forms a H-bond with D287ECL2 in nearly 25% of frames in the MD simulation (Figure 3B, Ext Data Figure 9D, 9E).
The resolution of the peptide C-terminus and receptor ECDs are lower than in the receptor core, and they were primarily modelled via rigid body fitting of the available x-ray structure (PDB: 4RWG12). To test the stability of interactions in the fully active structure, 6.4 μs MD simulations were run. Our data are consistent with the interactions previously reported in the isolated ECD structure12, and are summarised in Ext. Data Figure 9A-9F, and Supp. Information Table 3. The main intermolecular interactions involved T30P - D94ECD (Figure 3B, Ext. Data Figure 9E), and F37P (amide terminus) - T122ECD (backbone atoms) (Ext. Data Figure 9E). There were no persistent hydrogen bonds between CGRP and RAMP1. The critical importance of interactions between the C-terminus of CGRP (F27P-F37P) and the CLR and RAMP1 ECDs for CGRP signaling has been highlighted by previous mutagenesis studies12,23,34,37,38, and are illustrated in Ext. Data Figure 8A. The extent to which this is dependent upon the stability of the relative positioning of the ECD to the receptor core is unclear, but RAMP1 is a major contributor to the limited conformational flexibility of the CLR ECD domain (Supp. Information Video 3).
Comparisons with the CTR structure
CTR is most closely related to CLR, and both can interact with RAMP1 to form a high affinity CGRP receptor1. As such, we compared our previously published structure of the sCT:CTR:Gs complex to the CGRP receptor complex. Due to the relatively limited resolution in density for the peptide binding domain and N-terminus of the CTR, comparisons were limited to the backbone structures in these regions. Overall, there was a high degree of similarity between the CLR and CTR structures, both exhibiting an extended TM1 α-helical stalk that interconnects the receptor core and ECD, and a similar organization of the upper segments of TM6 and TM7, to accommodate the bulk of the cysteine-bridged loops of the peptides (Figure 4A).
The largest difference was in the orientation of the ECD relative to the receptor core (Figure 4A, 4B). Intriguingly, this located the C-terminus of the peptides at virtually equivalent positions, with the N-terminal activation domain of the peptides also occupying a similar binding cavity (Figure 4B). Within the receptor core, there was an inward movement at the apex of TM5 of the CLR relative to CTR by ~2 Å, that is likely a product of the RAMP1 interaction with this domain (Figure 4C). There was a high degree of sequence conservation between CLR and CTR for the residues that contacted the RAMP (Figure 4D), which may explain the similar broad specificity for RAMP interaction of these receptors. We previously reported that, in simulations of the CTR bound to human CT (hCT) versus sCT, there was destabilization of ECL2 for hCT relative to the sCT bound receptor that was indicative of a role for conformational dynamics of this receptor domain in ligand interaction and efficacy18. The interactions of RAMP1 with ECL2 may therefore contribute to peptide selectivity and/or efficacy.
At the base of the receptor, the structured H8 of CLR was much shorter than that of CTR (Figure 4A), and consequently has more limited interaction with the Gβ subunit. Nonetheless, truncation studies of the CTR C-terminus indicated that only the segment that is also present in the CGRP receptor structure was functionally important for Gs mediated signaling14. Perhaps more relevant, although the Gs-Ras α–H5 is aligned between the two structures, there are differences in the G-protein, particularly with respect to the positioning of the Gs-Ras α-N helix, which are propagated across the β- and γ- subunits (Figure 4E).
Broader comparison of Gs-protein interactions to include the structures of the glucagon-like peptide-1 receptor (GLP-1R) bound to either exendin-P5 (ExP5)15 or GLP-116 (Ext. Data Figure 10A, 10B), also revealed differences in the relative positioning of the Gs-protein, however, this was principally due to translational differences in the engagement of the receptors and the α-H5 (Ext. Data Figure 10C), with strong overlap in the backbone of the Gα subunit when these are aligned (Ext. Data Figure 10D). ICL2 of CLR and CTR are longer than their GLP-1R counter parts, and there is an ~2 Å greater outward movement of the base of TM6 of CLR and CTR compared to the GLP-1R (Ext. Data Figure 10A); these dissimilarities likely account for the translational differences in engagement of the Gs-protein by GLP-1R.
Stability of the complex in the absence of RAMP1
In MD simulations of the complex in the presence and absence of RAMP1, the orientation of the CLR ECD remains relatively stable during CLR-CGRP-RAMP1-Gαβγ-Nb35 (6.4 μs), and CLR-CGRP-RAMP1-miniGα (2 μs) MD simulations, but not during CLR-CGRP-miniGα (2 μs) MD simulations (Supp. Information Videos 1-3). In the absence of RAMP1, only CGRP and TM1, with its extension, hold the ECD in place relative to the TM domain. The N-terminal region (A1P – R18P) of CGRP is stable (Supp. Information Video 2), even in the absence of RAMP1, but the C-terminal region is affected by the mobility of the CLR ECD and is much more mobile in the absence of RAMP1 (Ext. Data Figure 6; Supp. Information Video 3). A consequence of this C-terminal mobility in the absence of RAMP1 is reduced persistence of H-bonds formed by CGRP in this region (Supp. Information Table 4).
RAMP1 provides additional stability to ECL2, a major contact point for CGRP, even though this loop is relatively stable even in the absence of RAMP1. In the MD in the absence of RAMP1, there is a marked reduction in the persistence of H-bonds between R2744.64 and D280ECL2 (Supp. Information Table 5). In the cryo-EM structure, these two residues can form a salt-bridge interaction, and this interaction in the presence of RAMP1 is likely to impact on signal propagation. Indeed, mutagenesis of either of these residues greatly impacts CGRP mediated cAMP signalling28,32. RAMP1 interaction does not impact the mobility of distally located ECL1 and ICL3. The least mobile points of each TM generally correspond to point of helix intersection; for TM3 this is in the vicinity of Y2273.44, which provides a deep stable contact point for CGRP.
It is important to note that, while these simulations provide insight into the contribution of RAMP1 to the preformed active complex, this complex does not form in the absence of RAMP, even where CLR is present at the cell surface6, indicating that the CLR/RAMP1 interaction is also critical for initial peptide binding and presentation to the receptor core.
In conclusion, the CGRP-CLR-RAMP1-Gs complex provides unique insight into the organisation of functionally important heteromeric GPCR complexes. The RAMP1 causes marked stabilisation of the CLR ECD, and thus plays a critical role in ligand presentation to the receptor core. It further enhances stability of the TM domain interface and ECL2 that are important for propagation of peptide-induced signalling. This study provides a framework for the development of novel therapeutics that target the CGRP system.
Methods
Constructs
CLR was modified to include an N-terminal Flag tag epitope and a C-terminal 8xhistidine tag, both tags are removable by 3C protease cleavage. The construct was generated in both mammalian and insect cell expression vectors. RAMP1 was modified to include an N-terminal Flag tag epitope. For both constructs, the natural signal peptide was replaced with that of hemagglutinin to improve expression (Ext. Data Figure 1).
Insect cell expression
CLR, RAMP1, DNGαs15, His6-tagged human Gβ1and Gγ2were expressed in Tni insect cells (Expression systems) using baculovirus. Cell cultures were grown in ESF 921 serum-free media (Expression Systems) to a density of 4 million cells per ml and then infected with three separate baculoviruses at a ratio of 1:5:2:1 for CLR, RAMP1, DNGαs and Gβ1γ2. Culture was harvested by centrifugation 48 h post infection and cell pellet was stored at -80 °C.
Complex purification
Cell pellet was thawed in 20 mM HEPES pH 7.4, 50 mM NaCl, 2 mM MgCl2 supplemented with cOmplete Protease Inhibitor Cocktail tablets (Roche). Complex formation was initiated by addition of 10 μM human αCGRP (Chinapeptide), Nb35–His (10 μg/mL), 3C protease (10 μg/mL) and Apyrase (25 mU/mL, NEB); the suspension was incubated for 1 h at room temperature. Membranes were collected by centrifugation at 30,000g for 30 min. Complexes from membranes were solubilized by 0.5% (w/v) lauryl maltose neopentyl glycol (LMNG, Anatrace) supplemented with 0.03% (w/v) cholesteryl hemisuccinate (CHS, Anatrace) for 2 h at 4 °C in the presence of 1 μM CGRP and apyrase (25 mU/mL, NEB). Insoluble material was removed by centrifugation at 30,000g for 30 min and the solubilized complex was immobilized by batch binding to NiNTA resin. The resin was packed into a glass column and washed with 20 column volumes of 20mM HEPES pH 7.4, 100 mM NaCl, 2 mM MgCl2, 0.01% (w/v) LMNG and 0.006% (w/v) CHS, 1μM CGRP, before bound material was eluted in buffer containing 250 mM imidazole. The NiNTA purified fraction was immobilized by batch binding to M1 anti-FLAG affinity resin in the presence of 3 mM CaCl2. The resin was packed into a glass column and washed with 20 column volumes of 20 mM HEPES pH 7.4, 100 mM NaCl, 2 mM MgCl2, 3 mM CaCl2, 1 μM CGRP, 0.01% (w/v) LMNG and 0.006% (w/v) CHS before bound material was eluted in buffer containing 5 mM EGTA and 0.1 mg/mL FLAG peptide. The complex was then concentrated using an Amicon Ultra Centrifugal Filter (MWCO 100 kDa) and subjected to size-exclusion chromatography on a Superose 6 Increase 10/300 column (GE Healthcare) that was pre-equilibrated with 20 mM HEPES pH 7.4, 100 mM NaCl, 2 mM MgCl2, 1 μM CGRP, 0.01% (w/v) LMNG and 0.006% (w/v) CHS. Eluted fractions consisting of receptor and G-protein complex were pooled and concentrated. Final yield of purified complex was approximately 0.3 mg per liter of insect cell culture.
SDS–PAGE and western blot analysis
Sample collected from size-exclusion chromatography was analyzed by SDS–PAGE and Western blot as previously described15. For SDS–PAGE, precast gradient TGX gels (Bio-Rad) were used. The final SEC elution peak was stained by Instant Blue (Expedeon).
Modelling into EM density
An initial template for CLR was generated by homology modelling on template cryo-EM structure of hCTR (PDB-5UZ7)14, performed with the Molsoft ICM modelling software40. Manual adjustment and rebuilding was performed in COOT41. Due to limited density in CLR and RAMP1 ECD regions, we used the high-resolution X-ray crystal structure (PDB-4RWG)12 for modelling. ECDs of CLR and RAMP1 were, separately, rigid body fitted into density prior to the final iteration of global refinement. DNGαs, Gβ1, Gγ2 and Nb35 models were taken from the GLP1R-Gs-ExP5 structure (PDB-6B3J)15. The CGRP peptide and RAMP1 TM were modeled manually. The final model was subjected to global refinement and minimization in real space using the module ‘phenix.real_space_refine’ in PHENIX42. Validation was performed in MolProbity43.
Preparation of vitrified specimen
EM grids (Quantifoil, Großlöbichau, Germany, 200 mesh copper R1.2/1.3) were glow discharged for 30 s using Harrick plasma cleaner (Harrick, Ithaca, NY). 4 µl of sample was applied on the grid in the Vitrobot Mark IV chamber (Thermo Fisher Scientific, Waltham, MA). The chamber of Vitrobot was set to 100% humidity at 4 °C. The sample was blotted for 4.5 s with blot force of 20 and then plunged into propane-ethane mixture (37% ethane and 63% propane).
Data acquisition
Data set was collected on a Thermo Fisher Scientific Titan Krios microscope operated at 300 kV (FEI, Hillsboro, OR) equipped with a Gatan Quantum energy filter, a Gatan K2 summit direct electron camera (Gatan, Pleasanton, CA) and a Volta phase plate (Thermo Fisher Scientific). Movies were taken in EFTEM nanoprobe mode, with 50 µm C2 aperture, at a calibrated magnification of 47170 corresponding to a magnified pixel size of 1.06 Å. Each movie comprises 50 sub frames with a total dose of 50 e-/Å2, exposure time was 13 s with the dose rate of 4.8 e-/pix/s on the detector. Data acquisition was done using SerialEM software at -600 nm defocus44.
Data processing
3180 movies were collected and subjected for motion correction using MotionCor245. CTF estimation was done using Gctf software46 on non-dose-weighted micrographs. The particles were picked using Gautomatch (developed by Dr Kai Zhang, MRC Laboratory of Molecular Biology, Cambridge, UK, http://www.mrc-lmb.cam.ac.uk/kzhang/Gautomatch/). An initial model was made using the common-line approach in EMAN247 based on automatically picked few micrographs and using the common-line approach. The particles were extracted in RELION 2.01b148 using a box size of 200 pixels. 1,205,000 picked particles were subjected to 2D classification with 100 classes, followed by 3D classification. After selecting the best-looking class, with 407,000 particles, 3D auto-refinement was performed in RELION 2.01b1. The final map was sharpened with a B-factor of -50 Å2. The processing workflow is outlined in Ext. Data Figure 3C. Model overfitting was evaluated by randomly displacing all atoms by 0.5Å and refined against one cryo-EM half map. FSC curves were calculated between the resulting model and the half map used for refinement, the resulting model and the other half map for cross validation, and the final refined model and the full map (Ext. Data Figure 3F).
Mammalian cell cAMP assays
Cos7 cells, which were confirmed to be free from mycoplasma, were transfected in suspension in 96 well plates (10,000 cells/well) with 50ng CLR + 50ng human RAMP1 using 600ng PEI. The transfection was performed in 5% FBS DMEM, 200uL total volume per well and cells were incubated for 48 h at 37°C, 5% CO2. cAMP detection was performed as previously described49. All values were converted to cAMP concentration using a cAMP standard curve performed in parallel and data were subsequently normalized to the response of 100 μM forskolin.
Conformational clustering of CGRP ECL3 and the RAMP1
The missing loops throughout CLR were generated using PLOP50, which has been shown to be effective in generating GPCR loop conformations51. The missing side chains were iteratively optimized to convergence using PLOP. In addition, in order to enhance the conformational sampling of ECL3, which is likely to interact with the CGRP peptide, a preliminary clustering of 4000 different loop models generated using Modeller 9.1652 was performed by means of the Clustering VMD plugin (available at http://physiology.med.cornell.edu/faculty/hweinstein/vmdplugins/clustering/). Conformational clustering was based on the coordinates of side chains belonging to residues W3546.58, R3556.59, P356ECL3, E357ECL3, K359ECL3, I360ECL3, A361ECL3 and E362ECL3. A total of 10 clusters were generated with a Root Mean Standard Deviation (RMSD) cut off value of 3 Å and a representative structure with a low Distributed Optimized Potential Energy (DOPE) score from the four most populated ensembles was extracted and prepared for molecular dynamics simulations.
A similar approach was employed for clustering the modelled RAMP1 C-terminus (residues T144R, - V148R): the original PLOP generated conformation was combined with each of the 4 initially selected ECL3 conformations, while the highly distinct RAMP1 C-terminus orientation was arbitrarily combined with ECL3 conformation number 1.
Molecular dynamics (MD) simulations
A total of seven systems were prepared for MD simulations with the CHARMM36 force field53 (Supp. Information Table 6) using a multistep procedure that combines python htmd54 and tcl (Tool Command Language) scripts. Hydrogen atoms were first added by means of the pdb2pqr55 and propka56 software (considering a simulated pH of 7.0); the protonation of titratable side chains was checked by visual inspection. CLR and RAMP1 were embedded in a square 116 Å x 116 Å 1-palmitoyl-2-oleyl-sn-glycerol-3-phospho-choline (POPC) bilayer (previously built by using the VMD Membrane Builder plugin 1.1, at http://www.ks.uiuc.edu/Research/vmd/plugins/membrane/) through an insertion method57. More precisely, the opportune receptor orientation was obtained by superposing CLR coordinates on the CTR structure retrieved from the OPM database58. Lipids overlapping the receptor TMs bundle and the RAMP1 were removed and TIP3P water molecules59 were added to the simulation box (116 Å x 116 Å x 185 Å) by means of the VMD Solvate plugin 1.5 (Solvate Plugin, Version 1.5. at <http://www.ks.uiuc.edu/Research/vmd/plugins/solvate/). Overall charge neutrality was finally reached by adding Na+/Cl- counter ions (final ionic strength of 0.150 M), using the VMD Autoionize plugin 1.3 (Autoionize Plugin, Version 1.3. at <http://www.ks.uiuc.edu/Research/vmd/plugins/autoionize/).
In order to evaluate the influence exerted by RAMP1 on the CGRP-CLR complex, two simplified systems were embedded in a 96 Å x 96 Å POPC bilayers and solvated as described above: one was composed by CLR-CGRP-RAMP1 and the C-terminus (residues N371G - L394G) of the G-protein α subunit (CLR-CGRP-RAMP1-G-protein(α371-394), while the other system was formed by CLR-CGRP and the C-terminus of the G-protein α subunit (CLR-CGRP-G-protein(α371-394); the original PLOP generated conformations of CLR and RAMP1 were used.
Systems equilibration and MD settings
The MD engine ACEMD60 was employed for both the equilibration and productive simulations. Equilibration was achieved in isothermal-isobaric conditions (NPT) using the Berendsen barostat61 (target pressure 1 atm) and the Langevin thermostat62 (target temperature 300 K) with a low damping of 1 ps-1. A three-stage procedure was performed (integration time step of 2 fs): first, clashes between protein and lipid atoms were reduced through 2500 conjugate-gradient minimization steps, then a 2 ns long MD simulation was run with a positional constraint of 1 kcal mol-1 Å-2 on protein and lipid phosphorus atoms. During the second stage, 40 ns of MD simulation were performed constraining only the protein atoms, while in the last equilibration stage, positional constraints were applied only to the protein backbone alpha carbons, for a further 5 ns.
Supp. Information Table 6 summarizes all the simulations performed. Trajectories were computed with an integration time step of 4 fs in the canonical ensemble (NVT) at 300 K, using a thermostat damping of 0.1 ps-1 and the M-SHAKE algorithm63 to constrain the bond lengths involving hydrogen atoms. The cut off distance for electrostatic interactions was set at 9 Å, with a switching function applied beyond 7.5 Å. Long range Coulomb interactions were handled using the particle mesh Ewald summation method (PME)64 by setting the mesh spacing to 1.0 Å.
MD analysis
Atomic contacts, hydrogen bonds and Root Mean Square Fluctuation (RMSF) were computed using VMD65. A contact was considered productive if the distance between two atoms was lower than 3.5 Å. For hydrogen bond detection, a donor-acceptor distance of 3 Å and an angle value of 160° were set as geometrical cut-offs. The hydrogen bond persistence is defined as the number of frames in which the H-Bond is formed divided by the total number of frames times 100. The RAMP1 influence on van der Walls contacts and hydrogen bonds was evaluated by computing the numerical difference between the total numbers of contacts/hydrogen bonds between each CLR and CGRP side chain during the simulations in presence and absence of RAMP1.
Extended Data
Supplementary Material
Acknowledgements
The work was supported by the Monash University Ramaciotti Centre for Cryo-Electron Microscopy.
This work was supported by National Health and Medical Research Council of Australia (NHMRC) project grant (1120919), and NHMRC program grant (1055134). PMS and AC are NHMRC Principal and Senior Principal Research Fellows, respectively. DW is a NHMRC Career Development Fellow, and CK a NHMRC CJ Martin Fellow. AG is an Australian Research Council DECRA Fellow. DLH is a James Cook Research Fellow and is supported by the Marsden Fund (both Royal Society of New Zealand). CAR is a Royal Society Industry Fellowship and acknowledges support from the BBSRC (BB/M006883/1). We are grateful to George Christopoulos and Villy Julita for assay and technical support, Thomas Coudrat for initial homology modelling of CLR from the active CTR, and to Sebastian Furness, Peishen Zhao and David Thal for useful discussion.
Footnotes
Data availability. All relevant data are available from the authors and/or included in the manuscript or Supplementary Information. Atomic coordinates and the cryo-EM density map have been deposited in the Protein Data Bank (PDB) under accession number 6E3Y and EMDB entry ID EMD-8978.
The authors declare no competing financial or non-financial interests related to the research.
Reprints and permissions information is available at www.nature.com/reprints.
Author Contributions
Y.L.L performed virus production, insect cell expression, purification, negative stain EM, data acquisition/analysis, prepared samples for cryo-EM, was responsible for model building and refinement, and assisted with manuscript preparation.
M.K performed cryo-sample preparation, phase-plate imaging, data collection, EM data processing and analysis, calculated the cryo-EM map and assisted with manuscript preparation.
G.D performed MD simulations and assisted in manuscript preparation.
A.G assisted with model building and refinement and contributed to manuscript preparation.
T.S.P assisted with model building and refinement and reviewed the manuscript.
C.K performed cell based assays and data analysis and reviewed the manuscript.
M.R performed preliminary screening imaging and reviewed the manuscript.
J.M.P and W.B organized and managed the Volta phase plate development project.
D.L.H provided insights into the CGRP receptor, assisted with data interpretation, and reviewed the manuscript.
L.J.M provided insights into class B GPCRs, assisted with data interpretation and reviewed the manuscript.
A.C assisted with data interpretation and manuscript preparation.
C.A.R. designed MD simulations, assisted in data interpretation and contributed to writing of the manuscript.
D.W was responsible for overall project strategy and management, data analysis and interpretation and contributed to writing of the manuscript.
P.M.S was responsible for overall project strategy and management, data interpretation and wrote the manuscript.
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