Abstract
Allosteric coupling describes a reciprocal process whereby G-protein-coupled receptors (GPCRs) relay ligand-induced conformational changes from the extracellular binding pocket to the intracellular signaling surface. Therefore, GPCR activation is sensitive to both the type of extracellular ligand and intracellular signaling protein. We hypothesized that ligand-specific allosteric coupling may result in preferential (i.e., biased) engagement of downstream effectors. However, the structural basis underlying ligand-dependent control of this essential allosteric mechanism is poorly understood. Here, we show that two sets of extended muscarinic acetylcholine receptor M1 agonists, which only differ in linker length, progressively constrain receptor signaling. We demonstrate that stepwise shortening of their chemical linker gradually hampers binding pocket closure, resulting in divergent coupling to distinct G-protein families. Our data provide an experimental strategy for the design of ligands with selective G-protein recognition and reveal a potentially general mechanism of ligand-specific allosteric coupling.
Keywords: G-protein-coupled receptors, allosteric coupling, bitopic ligands, muscarinic receptors, biased signaling, G-protein selectivity
G-protein-coupled receptors (GPCRs) are ubiquitous membrane proteins which sense a myriad of extracellular stimuli such as neurotransmitters and hormones among many others and transmit them to the cell interior mainly through activation of heterotrimeric G-protein-signaling cascades.1 Given their abundance and ubiquitous expression, GPCRs modulate almost every physiological process and often play pivotal roles in disease, rationalizing why this protein family is among the most popular drug targets.2 Individual GPCRs frequently activate multiple downstream second messenger and/or protein kinase cascades after engagement of one or more G proteins from one subfamily or, alternatively, multiple G proteins from the four distinct families.3 The past decade has witnessed an ever increasing number of studies to exploit this signaling multiplicity for the possibility of designing drugs with greater specificity and fewer side effects. In line with this, so-called biased ligands have been developed, which preferentially activate only a subset of all possible GPCR signaling pathways, unlike their unbiased counterparts.4,5 From a drug discovery point of view, functionally selective ligands are particularly interesting for their potential to promote therapeutically desired signaling while simultaneously sparing other potentially harmful signaling routes. However, the structural basis of how biased ligands lead to selective GPCR signaling is only beginning to be understood and it is largely unknown how such ligands need to be designed.
Recent crystal and cryo-EM structures of GPCRs have revealed in atomic detail that agonist binding to GPCRs results in large-scale conformational changes in the receptor protein which allow intracellular coupling to signaling proteins. Most prominently, receptor activation requires an outward movement of the intracellular part of transmembrane domain 6 facilitating G-protein binding. Reciprocally, this intracellular outward movement and G-protein coupling is accompanied by an inward movement of extracellular parts of TM 5 and 7 and rearrangement of extracellular loops, resulting in a contraction of the ligand binding pocket.1 Biophysical and biochemical experiments have shown that intracellular G-protein binding traps the agonist in the extracellular ligand binding pocket.6,7 This mechanism of GPCR activation occurs via a series of reciprocal conformational changes between the ligand and the G-protein-binding site and is referred to as allosteric coupling. Allosteric coupling forms the structural basis for the well-described pharmacological phenomenon that G-protein binding to GPCRs increases agonist, but not antagonist, affinity and vice versa.8 It is intriguing to speculate that binding of different intracellular effectors might be inseparably linked to divergent conformational changes on the extracellular receptor side, for instance, to different degrees of binding pocket closure.9 In favor of this hypothesis, recent structural evidence from the muscarinic M2 receptor10,11 and the β1 adrenergic receptor12 suggests that extracellular conformational changes resulting from G-protein coupling are distinct from those induced by β-arrestin binding. However, it is entirely unknown whether divergent allosteric coupling determines preference among G-protein families, thereby modulating G-protein selectivity and whether this can be specifically tuned by ligands.
Here, using the muscarinic acetylcholine receptor M1 (M1R) as a model, we directly probed the impact of ligand-specific allosteric coupling on the receptor’s preference for G proteins (Gq/11, Gs, Gi/o) with two sets of extended, bitopic agonists which only differ in the length of the linker connecting an orthosteric agonist moiety to a negative allosteric modulator moiety. Gradual shortening of the linker resulted in progressive loss of the receptor’s ability to couple to certain G proteins (Gi/o and Gs) while maintaining robust coupling to Gq/11. Molecular modeling studies suggested that the bitopic ligands gradually inhibit ligand binding pocket closure in a manner directly related to their linker length. Using a biosensor for M1R activation based on Förster resonance energy transfer (FRET), we demonstrate that intracellular conformational changes of the receptor at the G-protein-coupling interface gradually depended on the linker length of the bitopic ligands. Our data illustrate that ligand-dependent allosteric coupling allows selective G-protein signaling.
Results and Discussion
The muscarinic M1 receptor (M1R) is known to couple to several G-protein families.13 In addition to its cognate Gq/11-protein family, M1Rs promote signaling through both Gs and Gi/o proteins. To quantitatively assess the G-protein-coupling profile of M1Rs stably expressed in CHO cells (CHO-M1) at endogenous G-protein expression, we performed second messenger assays (IP1 and cAMP) as well as GTPγS binding in intact CHO-M1 cells and membranes thereof, respectively (Figure 1). The endogenous neurotransmitter acetylcholine (ACh) and iperoxo served as orthosteric agonists to assess the coupling of M1R to Gq/11, Gs, and Gi/o. Both agonists evoked potent and efficacious increases of total cellular IP1 and cAMP concentration and induced robust [35S]GTPγS binding (Figure 1). Iperoxo displayed a potency approximately 100-fold higher than that of ACh in all three assays, whereas it was equally efficacious as deduced from equivalent Emax values. As second messenger levels in cells are well-known to result from a complex interplay between different G-protein families and, therefore, do not serve as unambiguous indicators for specific G-protein recognition, we used G-protein-selective inhibitors, rather than a GTPγS immunoprecipitation assay,14 to isolate and dissect the respective M1R signaling pathways. Pretreatment of cells with the Gq/11-specific inhibitor FR900359 (FR) abolished both ACh- (Figure 1A,B) and iperoxo-stimulated (Figure 1A,C) IP1 accumulation, indicating that this response is exclusively dependent on M1R-mediated activation of Gq/11 proteins. M1R-induced cAMP accumulation (Figure 1D) was also reduced, by more than 50%, in the presence of FR, indicating a strong Gq/11 component in the signaling network that controls cAMP production (Figure 1E,F). Co-treatment of CHO-M1 cells with FR and pertussis toxin (PTX) to inhibit Gq/11 and Gi/o proteins reversed the cAMP lowering effects of FR for both agonists and unmasked the inhibitory effect of Gi/o proteins on cAMP accumulation (Figure 1E,F). This cAMP response, achieved after pharmacological silencing of Gi/o and Gq/11 proteins, represents the M1R’s ability to directly activate Gs signaling. Thus, whereas our data indicate that cAMP accumulation is a highly integrated response that is orchestrated by three major G-protein families, combined pretreatment of CHO-M1 cells with PTX and FR does allow one to single out endogenous M1R-mediated Gs signaling without the confounding input of Gi/o and Gq/11 proteins. Binding of [35S]GTPγS is another widely used method to unveil receptor-stimulated activation of endogenous G proteins. This method has proven particularly useful to quantify receptor-mediated GTPγS loading onto Gi/o proteins but is, in principle, not restricted to the detection of receptor Gi/o interaction. Iperoxo and ACh both stimulated M1R-mediated [35S]GTPγS binding (Figure 1G), and these responses reflected engagement of Gi/o and Gq/11 proteins as evidenced by their significant reduction when membranes were collected from cells after pretreatment with PTX or FR (Figure 1H,I). Combined pretreatment with both inhibitors largely eliminated ACh- (Figure 1H) and iperoxo-stimulated (Figure 1I) [35S]GTPγS binding, yet PTX effects appeared more pronounced than those observed with FR. Therefore, we inferred that [35S]GTPγS loading of CHO-M1 membranes preferentially reported on Gi/o activation.
Figure 1.
M1 receptor couples to three major G-protein families in CHO cells. (A–I) Concentration–response curves of ACh- and iperoxo-stimulated IP1 production (A–C), cAMP accumulation (D–F), and [35S]GTPγS binding (G–I) in CHO-M1 cells or membranes (G–I). M1R-mediated IP1 accumulation is exclusively mediated by Gαq/11 as pretreatment with the Gαq/11 specific inhibitor FR900359 (1 μM) abolished the response (B,C). cAMP accumulation is an integrated response with contribution from Gαq/11, Gαi/o, and Gαs. Inhibition of Gαq/11 and Gαi/o (FR900359 and PTX 50 ng/mL overnight) reveals Gαs-mediated cAMP production (E,F). [35S]GTPγS binding is an integrated response with contribution from Gαq/11 and Gαi/o. Inhibition of Gαq/11 (FR900359) singles out Gαi/o-mediated [35S]GTPγS binding (H,I). Data are shown as mean ± standard error of mean of at least three independent experiments performed in triplicate (IP1 and cAMP) or quadruplicate ([35S]GTPγS) and normalized as indicated.
Bitopic ligands are compounds which possess two building blocks that target two distinct binding sites at one receptor protomer, i.e., the orthosteric and a second topographically distinct, allosteric binding site.15 We here use two sets of bitopic ligands which are composed of the orthosteric agonist iperoxo and two negative allosteric modulators covalently linked by methylene linkers of varying length (Figure 2). The phth series of ligands contains iperoxo and a fragment of the allosteric modulator W84 connected by 6 (iper-6-phth), 7 (iper-7-phth), or 8 methylene groups (iper-8-phth). The naph series follows the same ligand design principle using a fragment of the allosteric modulator naphmethonium (i.e., iper-6-naph, iper-7-naph, iper-8-naph). Previously, both series have been characterized extensively at the muscarinic M2 receptor.16 Radioligand binding experiments (supporting methods) using the orthosteric antagonist [3H]NMS as a tracer demonstrated that all bitopic ligands are able to bind to both the allosteric binding site, as derived from dissociation binding (Figure S1), and the orthosteric binding site, as inferred from equilibrium binding (Figure S2). Whereas ligand affinities for the allosteric binding site within one ligand series were highly similar (Table S1), ligand affinities for the orthosteric binding site depended on linker length, whereby increasing linker length correlated with increased ligand affinity (Table S2). Therefore, we reasoned that the three bitopic ligands within a series adopted the same binding mode in the orthosteric site driven by iperoxo’s high affinity. As a consequence, a set of bitopic ligands—which only differ in linker length—may qualify to precisely probe the impact of ligand binding pocket closure and thereby altered allosteric coupling on GPCR signaling with sub-nanometer precision. Whereas all bitopic ligands of the phth series promoted Gq/11-protein signaling, iper-6-phth conferred partial activation only (Figure 2B). However, when Gs-mediated cAMP accumulation was quantified as receptor signaling output, we found agonism across the full efficacy range with iper-8-phth being fully active, iper-7-phth partly active, and iper-6-phth completely incompetent to evoke elevation of cAMP above basal levels (Figure 2D). However, when cAMP production was measured in the absence of PTX and FR (Figure S3), iper-6-phth did augment this second messenger, corroborating its productive Gq/11-protein coupling (Figure 2B) and attesting to the validity of our cAMP assay regime to single out pathways by means of inhibitor compounds. M1R-mediated Gi/o protein activation was only induced by iper-8-phth. Iper-7-phth and iper-6-phth both failed to promote effective M1R/Gi/o coupling (Figure 2F). From these data, we concluded that gradual shortening of the linker of bitopic ligands results in progressive loss of G-protein-signaling capacity. Whereas the most extended bitopic agonist, iper-8-phth, was capable of stimulating all three G-protein families, iper-7-phth activated Gq/11 and Gs proteins, and iper-6-phth promoted signaling through Gq/11 only.
Figure 2.
G-protein activation profiles of bitopic ligands strictly depend on linker length and type of allosteric moiety. (A) Molecular structures of bitopic ligands. (B–G) Concentration–response curves of phth-derived (B,D,F) and naph-derived (C,E,G) bitopic ligands on activation of Gαq/11 (IP1 accumulation) (B,C), Gαs (cAMP accumulation in the presence of PTX and FR900359) (D,E), and Gαi/o ([35S]GTPγS binding) (F,G). Data are shown as mean ± standard error of mean of at least three independent experiments performed in triplicate (IP1 and cAMP) or quadruplicate ([35S]GTPγS) and normalized as indicated.
The second series of bitopic ligands (i.e., the naph series) contains an allosteric modulator which differs from the phth derivative mainly in two aspects: naph has a larger size and is characterized by a branched aliphatic linker (Figure 2A). We hypothesized that the naph series would more severely interfere with M1R G-protein signaling. Indeed, whereas the extended bitopic ligands iper-7-naph and iper-8-naph promoted Gq/11-protein signaling, iper-6-naph failed to activate this signaling route (Figure 2C), in stark contrast to iper-6-phth (Figure 2B). In addition, none of the naph-based bitopic ligands was able to stimulate Gs (Figure 2E) and Gi/o signaling (Figure 2G). Again, iper-7-naph and iper-8-naph increased cAMP levels when PTX and FR were absent (Figure S3). Interestingly, iper-6-naph, which is devoid of intrinsic activity on any of the tested G proteins, strongly inhibited ACh-stimulated IP1 and cAMP accumulation, as well as [35S]GTPγS binding (Figure S4). In line with this finding, iper-6-phth, which exclusively activated Gq/11 proteins, completely abolished ACh-induced [35S]GTPγS binding and partially inhibited cAMP accumulation (Figure S4). Moreover, iper-7-phth, a bitopic agonist which does not stimulate M1R Gi/o coupling (Figure 2F), antagonized ACh-induced Gi/o activation (Figure S4). These data suggest that different G proteins display distinct sensitivities toward M1R activation by the above set of extended ligands. Whereas Gq/11 coupling is preserved by almost all bitopic ligands (except iper-6-naph), Gs signaling is only promoted by two extended members of the phth series (i.e., iper-7-phth and iper-8-phth), whereas Gi/o activation is particularly susceptible to bitopic ligand structure (only iper-8-phth showed weak M1R/Gi/o coupling). These data reveal a clear hierarchy of G-protein recognition by M1Rs with the cognate Gq/11 protein tolerating most bitopic ligands, followed by Gs and Gi/o. Strikingly, only very subtle, i.e., sub-nanometer, changes in bitopic ligand length had profound effects on the ability of M1Rs to couple to different G-protein families.
To gain mechanistic insight into the structural basis underlying G-protein-coupling selectivity of bitopic ligands, we performed binding mode investigations by molecular docking and all-atom molecular dynamics (MD) simulations on a microsecond time scale. We used a previously developed M1R model which is almost equivalent to the recent M1R cryo-EM structure (Figure S5). Initial docking results suggest that the iperoxo moiety, due to its high affinity (Figure S2), binds in a nearly identical way compared to iperoxo itself and serves as a structural anchor for the binding mode of bitopic ligands (Figure 3A–D), similar to previously reported data from bitopic ligands for the M2 receptor.17 This “affinity anchoring” ensures that bitopic ligands which only differ in linker length result in stepwise interference with extracellular regions of the receptor that have been shown to contract upon receptor activation (Figure S6). MD simulations confirm these binding modes and provide insights into conformational dynamics of extracellular parts of the ligand binding pocket. Iperoxo binding results in full contraction of the extracellular parts of the ligand binding pocket. In contrast, the bitopic ligands of the phth series bind in a way that sterically hinders binding pocket closure. Interestingly, the degree of conformational interference appears to depend on linker length and thereby the position of the allosteric building block (Figure 3E–H). As the phth moiety of iper-6-phth is positioned more deeply in the receptor core (closer to the orthosteric binding site), it hampers binding pocket closure more severely, resulting in a more open extracellular conformation (Figure 3H). Elongation of the linker by additional methylene groups allowed sub-nanometer control of the position of the allosteric building block and thereby gradually reduces the conformational interference with binding pocket closure, eventually resulting in a greater G-protein-coupling capability (Figure 2). The α carbon distance between Y179ECL2 and T3896.59 illustrates temporal dynamics of how bitopic ligands interfere with binding pocket closure (Figure 3I,J).
Figure 3.
Bitopic ligands interfere with binding pocket closure upon M1 receptor activation. (A–D) Binding modes of iperoxo (A), iper-8-phth (B), iper-7-phth (C), and iper-6-phth (D) derived from molecular docking to the active M1 receptor model. Extracellular residues Y179 and T389 are shown as green ribbon. (E–H) Representative conformations from microsecond MD simulations of M1R in complex with iperoxo (E), iper-8-phth (F), iper-7-phth (G), and iper-6-phth (H) shown from the extracellular side. Parts of ECL2 and ECL3 are shown as a surface to illustrate the size of the allosteric vestibule. (I,J) α Carbon distances between Y179 and T389 serve as a conformational descriptor for the closure of the binding pocket upon receptor activation, which is visualized as time-dependent distance plot (I) and violin plot (J).
Docking and molecular dynamics simulations demonstrate that bitopic ligands adopted binding poses that interfere with closure of the binding pocket in a linker-length-dependent manner. It is likely that interference with binding pocket closure impacts the intracellular G-protein-binding interface through allosteric coupling and, thus, may be the molecular basis for the experimentally observed G-protein-coupling profiles of bitopic ligands. To test this hypothesis, we performed single-cell FRET measurements and investigated whether ligand-dependent interference with binding pocket closure translated into altered receptor conformations at the intracellular G-protein-coupling interface. We used a previously characterized M1R-FRET sensor that reports on agonist-mediated receptor activation with an increase in FRET ratio between the C-terminal donor CFP and a FlAsH acceptor incorporated in intracellular loop 318 (Figure 4A). Superfusion of HEK293 cells stably expressing the M1R-FRET sensor with iperoxo led to a rapid increase in FRET ratio, which was reversible upon ligand wash-out (Figure 4B). Superfusion of sensor-expressing cells with bitopic ligands from the phth series induced robust, albeit small, increases in FRET (Figure 4B–D). Interestingly, the maximal FRET change induced by bitopic ligands appeared to correlate with linker length (Figure 4F). The bitopic ligand with the longest linker, iper-8-phth (Figure 4B), triggered a significantly larger FRET change than the shorter derivatives iper-7-phth (Figure 4C) and iper-6-phth (Figure 4D). The bitopic ligand with the longest linker, iper-8-phth, (Figure 4B), triggered a significantly larger FRET change than the shorter derivatives iper-7-phth (Figure 4C) and iper-6-phth (Figure 4D). These data suggested that a more closed ligand binding pocket (Figure 3F) is accompanied by larger receptor conformational changes at the G protein-binding interface (Figure 4B and F) through an allosteric coupling mechanism. Thus following, hampering ligand binding pocket closure with shorter bitopic ligands, such as iper-6-phth (Figure 3H), might lead to significantly smaller conformational changes at the receptor/G protein-coupling interface (Figure 4D). In line with this notion, iper-6-naph, a bitopic ligand with a branched and larger allosteric moiety, which was found to be incompatible with the active M1R conformation (Figure S6C), failed to induce M1R conformational changes (Figure 4E). We speculated that mutational removal of the steric clash (W4007.35A) might suffice to confer agonist activity onto iper-6-naph. However, because tryptophan by alanine replacement severely compromised receptor activation by iperoxo, the slight degree of agonism evoked by iper-6-naph at the highest applied concentration must be interpreted with considerable caution (Figure S7).
Figure 4.
Bitopic ligands gradually alter intracellular conformational changes. (A) Schematic representation of the intracellular M1R-FRET sensor, depicting the FlAsH binding sequence in ICL3 in yellow and the C-terminal CFP in cyan. (B–E) Corrected and normalized FRET ratios of single HEK293 cells stably expressing the M1R-FRET sensor. Cells were superfused with iperoxo and iper-8-ptht (B), iper-7-phth (C), iper-6-phth (D), and iper-6-naph (E). Shown are representative traces from one out of at least three independent single-cell experiments. (F) Bitopic ligand-induced FRET ratios pooled from all cells measured as in (B–E) were normalized to iperoxo: n = 16 (iper-8-phth), 10 (iper-7-phth), 14 (iper-6-phth), and 14 (iper-6-naph) single cells. The columns represent means, and the vertical bars represent standard error of mean: ****P < 0.0001, ***P < 0.0005, one-way analysis of variance (ANOVA, Tukey’s post-test).
In summary, our data demonstrate that pleiotropic G-protein coupling of GPCRs requires orthosteric activation by agonists, which is accompanied by pronounced extracellular conformational changes of the receptor, resulting in closure of the ligand binding pocket from the extracellular space. Designed bitopic ligands incorporating parts which bind to epitopes of the extracellular receptor domains and only differ in molecule length function as atomic rulers to interfere with ligand binding pocket closure at sub-nanometer precision. We propose a ligand-dependent allosteric coupling mechanism which links the degree of extracellular binding pocket closure to the extent of intracellular conformational changes at the G-protein-binding interface as revealed by FRET measurements. Although future studies will need to map and integrate receptor conformational changes at different positions, our data strongly suggest that a more closed ligand binding pocket is accompanied by larger receptor conformational changes at the G-protein-binding interface through an allosteric coupling mechanism.
Ligand-dependent modulation of this mechanism allows generation of pathway-selective, i.e., biased, ligands. Interestingly, at related GPCRs (muscarinic M2, dopamine D2, serotonin 5-HT2B), several studies have reported that ligands with an “extended binding mode” are biased and that, structurally, bias is encoded in parts of the ligand that target the extracellular receptor domains.9,16,19,20 The bitopic ligands studied here can be considered as a particular example for “extended ligands” where the extended part constitutes an allosteric modulator. Therefore, we suggest that ligand-specific allosteric coupling by extended (bitopic) ligands constitutes a general mechanism of how GPCRs can be steered into specific signaling pathways. We propose that bitopic ligands or, more generally, “extended ligands” provide excellent tools to exert control over G-protein recognition to fine-tune the signaling range of GPCRs with unprecedented precision.
Materials and Methods
Cell Culture
Chinese hamster ovary (CHO) cells stably expressing the human muscarinic M1 acetylcholine receptor (CHO-M1) or the mutant W4007.35A were cultured in Ham’s nutrient mixture F-12 supplemented with 10% (v/v) fetal calf serum (FCS), 100 U mL–1 penicillin, 100 μg mL–1 streptomycin, 2 mM l-glutamine, and 0.2 mg mL–1 G418. HEK293 cells stably expressing the M1-I3N-CFP receptor FRET sensor were maintained in Dulbecco’s modified Eagle’s medium with 4.5 g L–1 glucose, 10% (v/v) FCS, 100 U mL–1 penicillin, 100 μg mL–1 streptomycin, 2 mM l-glutamine, and 0.2 mg mL–1 G418. All cell lines were cultured at 37 °C in a humidified 7% CO2 atmosphere and were routinely passaged every 2–3 days.
IP1 Accumulation and cAMP Accumulation Assays
M1R-mediated total IP1 and cAMP accumulation were detected using the IP-One HTRF assay kit and HTRF-cAMP dynamic kit (Cisbio, France), respectively, according to the manufacturer’s instructions. Fifty thousand cells/well (for IP1 assays) or 1000 cells/well (for cAMP assays) were seeded in 384-well microtiter plates. Under some conditions, cells were pretreated with 50 ng/mL PTX overnight and/or preincubated with 1 μM FR900359 for 1 h. For experiments in antagonist mode, cells were preincubated with antagonist for 1 h prior to agonist stimulation. Thirty minutes after agonist stimulation, IP1 and cAMP were detected as HTRF ratios using a Mithras LB 940 reader (Berthold Technologies, Germany).
[35S]GTPγS Binding Assays
Membranes (40 μg/mL) were incubated with increasing concentrations of test compounds and 0.07 nM [35S]GTPγS in HEPES buffer for 60 min at 30 °C. GDP (1 μM) was added to decrease the basal turnover rate of endogenous G proteins. In the case of Gq/11 protein inhibition, membranes were preincubated with FR900359 (1 μM) for 1 h at 30 °C. For the inhibition of Gi/o proteins, PTX preincubated membranes were used (100 ng/mL PTX added 24 h before membrane preparation). Experiments were terminated by rapid vacuum filtration. After melting scintillation wax, filter-bound radioactivity was quantified by solid scintillation counting.
Docking and Molecular Dynamics Simulations
The inactive M1 receptor crystal structure (PDB: 5CXV(21)), the active M1 receptor cryo-EM structure (PDB: 6OIJ(10)), and active-like homology models of the M1 receptor22 were used for molecular docking with the CCDC’s software GOLD version 5.2. Default settings were applied for receptor–ligand docking with all residues of the receptor core region and the extracellular regions defined as potential binding site and using GoldScore as a primary scoring function. Subsequently, molecular dynamics simulations were carried out in triplicates on a local graphics cards cluster (Nvidia rtx-2080-ti at Molecular Design Lab, Freie Universität Berlin) with Desmond 2018.3 following the previously published procedure23 and a simulation time of 1 μs each (further details are in Figure S8). MD trajectories were analyzed with the software VMD 1.9.3 and LigandScout 4.4.24
Single-Cell FRET Measurements
FlAsH labeling and FRET measurements were conducted exactly as described previously.18
Data Analysis
Nonlinear regression analysis was performed using GraphPad Prism 8 (GraphPad Software, San Diego, CA). [35S]GTPγS-binding, IP1, and cAMP accumulation data were baseline-corrected by subtracting the value of buffer-stimulated cells and normalized to the maximum effect of ACh or iperoxo. Concentration–effect curves were fitted by a four-parameter logistic function yielding parameter values for a ligand’s potency (pEC50) and maximum effect (Emax).
Statistical Analysis
To compare two means, statistical significance was based on a Student’s t-test with P < 0.05; to compare one mean to a fixed value, statistical significance was based on a one-sample t-test with P < 0.05. Comparisons of groups were performed using one-way-ANOVA analysis with a Tukey–Kramer post-test.
Acknowledgments
We thank Arthur Christopoulos (Monash University, Melbourne, Australia) for providing the stable CHO-M1 W4007.35A cell line, and Iris Jusen and Dieter Baumert (both University of Bonn) for technical assistance. M.B. acknowledges funding by the Deutsche Forschungsgemeinschaft (German Research Foundation, Project Number 407626949) and support by the Joachim Herz Stiftung. E.P. is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), 214362475/GRK1873/2. E.K. and G.M.K. gratefully acknowledge support of this work by the DFG-funded Research Unit FOR2372 with the Grants KO 1582/10-1 and KO 1582/10-2 (to E.K), as well as KO 902/17-1 and KO 902/17-2 (to G.M.K.). A.B. acknowledges funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through SFB1423, Project Number 421152132, subproject C05.
Supporting Information Available
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsptsci.0c00069.
Radioligand binding experiments; [3H]NMS dissociation binding; equilibrium binding of iperoxo and bitopic ligands; cAMP assays without PTX and FR; bitopic ligands in antagonist mode; structural comparison M1R model vs cryo-EM structure; binding modes of bitopic ligands; effect of iper-6-naph on IP1 production at M1 W4007.35A mutant receptors; extended characterization of MD simulation data; pEC50, diss values of bitopic ligands; affinities of bitopic ligands for M1 receptors; supporting references (PDF)
Author Contributions
J.H. and M.B. contributed equally to this work. R.S., K.M., E.K., and A.B. conceived of the project. J.H., M.B., E.M.P., M.K., T.B., and M.I. performed experiments and analyzed data with support from C.T., G.W., R.S., K.M., C.H., E.K., and A.B. C.M., C.D., M.D.A., and U.H. designed and synthesized all bitopic ligands. G.M.K. isolated and provided FR900359. J.H., M.B., and E.M.P. prepared the figures. E.K. and A.B. oversaw the overall research and wrote the paper with input from all authors.
The authors declare no competing financial interest.
Supplementary Material
References
- Weis W. I.; Kobilka B. K. (2018) The Molecular Basis of G Protein-Coupled Receptor Activation. Annu. Rev. Biochem. 87, 897–919. 10.1146/annurev-biochem-060614-033910. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hauser A. S.; Attwood M. M.; Rask-Andersen M.; Schioth H. B.; Gloriam D. E. (2017) Trends in GPCR drug discovery: new agents, targets and indications. Nat. Rev. Drug Discovery 16 (12), 829–842. 10.1038/nrd.2017.178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Oldham W. M.; Hamm H. E. (2008) Heterotrimeric G protein activation by G-protein-coupled receptors. Nat. Rev. Mol. Cell Biol. 9 (1), 60–71. 10.1038/nrm2299. [DOI] [PubMed] [Google Scholar]
- Smith J. S.; Lefkowitz R. J.; Rajagopal S. (2018) Biased signalling: from simple switches to allosteric microprocessors. Nat. Rev. Drug Discovery 17 (4), 243–260. 10.1038/nrd.2017.229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wootten D.; Christopoulos A.; Marti-Solano M.; Babu M. M.; Sexton P. M. (2018) Mechanisms of signalling and biased agonism in G protein-coupled receptors. Nat. Rev. Mol. Cell Biol. 19 (10), 638–653. 10.1038/s41580-018-0049-3. [DOI] [PubMed] [Google Scholar]
- Kruse A. C.; Ring A. M.; Manglik A.; Hu J.; Hu K.; Eitel K.; Hubner H.; Pardon E.; Valant C.; Sexton P. M.; Christopoulos A.; Felder C. C.; Gmeiner P.; Steyaert J.; Weis W. I.; Garcia K. C.; Wess J.; Kobilka B. K. (2013) Activation and allosteric modulation of a muscarinic acetylcholine receptor. Nature 504 (7478), 101–6. 10.1038/nature12735. [DOI] [PMC free article] [PubMed] [Google Scholar]
- DeVree B. T.; Mahoney J. P.; Velez-Ruiz G. A.; Rasmussen S. G.; Kuszak A. J.; Edwald E.; Fung J. J.; Manglik A.; Masureel M.; Du Y.; Matt R. A.; Pardon E.; Steyaert J.; Kobilka B. K.; Sunahara R. K. (2016) Allosteric coupling from G protein to the agonist-binding pocket in GPCRs. Nature 535 (7610), 182–6. 10.1038/nature18324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kent R. S.; De Lean A.; Lefkowitz R. J. (1980) A quantitative analysis of beta-adrenergic receptor interactions: resolution of high and low affinity states of the receptor by computer modeling of ligand binding data. Mol. Pharmacol. 17 (1), 14–23. [PubMed] [Google Scholar]
- Bermudez M.; Bock A. (2019) Does Divergent Binding Pocket Closure Drive Ligand Bias for Class A GPCRs?. Trends Pharmacol. Sci. 40 (4), 236–239. 10.1016/j.tips.2019.02.005. [DOI] [PubMed] [Google Scholar]
- Maeda S.; Qu Q.; Robertson M. J.; Skiniotis G.; Kobilka B. K. (2019) Structures of the M1 and M2 muscarinic acetylcholine receptor/G-protein complexes. Science 364 (6440), 552–557. 10.1126/science.aaw5188. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Staus D. P.; Hu H.; Robertson M. J.; Kleinhenz A. L. W.; Wingler L. M.; Capel W. D.; Latorraca N. R.; Lefkowitz R. J.; Skiniotis G. (2020) Structure of the M2 muscarinic receptor-beta-arrestin complex in a lipid nanodisc. Nature 579 (7798), 297–302. 10.1038/s41586-020-1954-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee Y.; Warne T.; Nehme R.; Pandey S.; Dwivedi-Agnihotri H.; Chaturvedi M.; Edwards P. C.; Garcia-Nafria J.; Leslie A. G. W.; Shukla A. K.; Tate C. G. (2020) Molecular basis of beta-arrestin coupling to formoterol-bound beta1-adrenoceptor. Nature 583 (7818), 862–866. 10.1038/s41586-020-2419-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Inoue A.; Raimondi F.; Kadji F. M. N.; Singh G.; Kishi T.; Uwamizu A.; Ono Y.; Shinjo Y.; Ishida S.; Arang N.; Kawakami K.; Gutkind J. S.; Aoki J.; Russell R. B. (2019) Illuminating G-Protein-Coupling Selectivity of GPCRs. Cell 177 (7), 1933–1947.e25. 10.1016/j.cell.2019.04.044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Harrison C.; Traynor J. R. (2003) The [35S]GTPgammaS binding assay: approaches and applications in pharmacology. Life Sci. 74 (4), 489–508. 10.1016/j.lfs.2003.07.005. [DOI] [PubMed] [Google Scholar]
- Bock A.; Schrage R.; Mohr K. (2018) Allosteric modulators targeting CNS muscarinic receptors. Neuropharmacology 136, 427–437. 10.1016/j.neuropharm.2017.09.024. [DOI] [PubMed] [Google Scholar]
- Bock A.; Merten N.; Schrage R.; Dallanoce C.; Batz J.; Klockner J.; Schmitz J.; Matera C.; Simon K.; Kebig A.; Peters L.; Muller A.; Schrobang-Ley J.; Trankle C.; Hoffmann C.; De Amici M.; Holzgrabe U.; Kostenis E.; Mohr K. (2012) The allosteric vestibule of a seven transmembrane helical receptor controls G-protein coupling. Nat. Commun. 3, 1044. 10.1038/ncomms2028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bermudez M.; Bock A.; Krebs F.; Holzgrabe U.; Mohr K.; Lohse M. J.; Wolber G. (2017) Ligand-Specific Restriction of Extracellular Conformational Dynamics Constrains Signaling of the M2Muscarinic Receptor. ACS Chem. Biol. 12 (7), 1743–1748. 10.1021/acschembio.7b00275. [DOI] [PubMed] [Google Scholar]
- Messerer R.; Kauk M.; Volpato D.; Alonso Canizal M. C.; Klockner J.; Zabel U.; Nuber S.; Hoffmann C.; Holzgrabe U. (2017) FRET Studies of Quinolone-Based Bitopic Ligands and Their Structural Analogues at the Muscarinic M1 Receptor. ACS Chem. Biol. 12 (3), 833–843. 10.1021/acschembio.6b00828. [DOI] [PubMed] [Google Scholar]
- Wacker D.; Wang S.; McCorvy J. D.; Betz R. M.; Venkatakrishnan A. J.; Levit A.; Lansu K.; Schools Z. L.; Che T.; Nichols D. E.; Shoichet B. K.; Dror R. O.; Roth B. L. (2017) Crystal Structure of an LSD-Bound Human Serotonin Receptor. Cell 168 (3), 377. 10.1016/j.cell.2016.12.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McCorvy J. D.; Butler K. V.; Kelly B.; Rechsteiner K.; Karpiak J.; Betz R. M.; Kormos B. L.; Shoichet B. K.; Dror R. O.; Jin J.; Roth B. L. (2018) Structure-inspired design of beta-arrestin-biased ligands for aminergic GPCRs. Nat. Chem. Biol. 14 (2), 126–134. 10.1038/nchembio.2527. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thal D. M.; Sun B.; Feng D.; Nawaratne V.; Leach K.; Felder C. C.; Bures M. G.; Evans D. A.; Weis W. I.; Bachhawat P.; Kobilka T. S.; Sexton P. M.; Kobilka B. K.; Christopoulos A. (2016) Crystal structures of the M1 and M4 muscarinic acetylcholine receptors. Nature 531 (7594), 335–40. 10.1038/nature17188. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bermudez M.; Rakers C.; Wolber G. (2015) Structural Characteristics of the Allosteric Binding Site Represent a Key to Subtype Selective Modulators of Muscarinic Acetylcholine Receptors. Mol. Inf. 34 (8), 526–30. 10.1002/minf.201500025. [DOI] [PubMed] [Google Scholar]
- Bock A.; Bermudez M.; Krebs F.; Matera C.; Chirinda B.; Sydow D.; Dallanoce C.; Holzgrabe U.; De Amici M.; Lohse M. J.; Wolber G.; Mohr K. (2016) Ligand Binding Ensembles Determine Graded Agonist Efficacies at a G Protein-coupled Receptor. J. Biol. Chem. 291 (31), 16375–89. 10.1074/jbc.M116.735431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wolber G.; Langer T. (2005) LigandScout: 3-D pharmacophores derived from protein-bound ligands and their use as virtual screening filters. J. Chem. Inf. Model. 45 (1), 160–9. 10.1021/ci049885e. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.