Abstract
G protein-coupled receptors (GPCRs) selectively couple to specific heterotrimeric G proteins comprised of four subfamilies in order to induce appropriate physiological responses. However, structural determinants in Gα subunits responsible for selective recognition by approximately 800 human GPCRs have remained elusive. Here, we directly compare the influence of subtype-specific Gα structures on the stability of GPCR-G protein complexes and the activation by two Gq-coupled receptors. We used FRET-assays designed to distinguish multiple Go and Gq-based Gα chimeras in their ability to be selectively bound and activated by muscarinic M3 and histaminic H1 receptors. We identify the N-terminus including the αN/β1-hinge, the β2/β3-loop and the α5 helix of Gα to be key selectivity determinants which differ in their impact on selective binding to GPCRs and subsequent activation depending on the specific receptor. Altogether, these findings provide new insights into the molecular basis of G protein-coupling selectivity even beyond the Gα C-terminus.
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Introduction
G protein-coupled receptors (GPCRs) are extensively studied drug targets that are addressed by about one-third of all approved drugs1. They serve as the largest human receptor family which comprises nearly 800 individuals. Remarkably, these couple to only 16 structurally similar Gα subunits that are assigned to four different G protein classes (Gs, Gi/o, Gq/11, G12/13) leading each to distinct cellular responses2,3. Typically, GPCRs preferentially interact with one specific G protein class, but promiscuity in G protein-coupling has also been observed4,5. Diverse expression of various Gα subtypes in a cell requires GPCRs to distinguish between them in order to ensure signaling via the proper pathway. This raises the question of which protein–protein recognition sites exist to enable coupling specificity. However, for some decades, no general mechanism has been found, presumably due to the fact that GPCR subfamilies independently evolved in parallel mechanisms to activate the same G protein during their evolutionary history6. To elucidate the molecular basis that underlies this G protein selectivity, structural studies, particularly cryo-EM structures of GPCR-G protein complexes, were successfully performed in recent years7,8,9,10,11,12,13,14,15,16,17,18,19,20. These structures were obtained with G proteins of the Gs, Gi/o, and Gq/11 family and provided overwhelming evidence that the C-terminal helix of the Gα subunit binds into the intracellular cavity of GPCRs and is thereby intimately involved in the mechanism responsible for G protein activation. Furthermore, they implied that the sizes of bulky Gs or small Gi C-termini affect the accommodation by distinct capacities of receptor binding pockets19. Apart from that, other interaction sites such as the αN/β1 and β2/β3 loop were identified to interact with regions near to the intracellular loops (ICLs) of the receptor, especially ICL221,22. However, structures failed to reveal distinct interaction sites between GPCRs and different Gα subfamilies that were hypothesized as a Gα selectivity barcode6. In addition, structures generally provide only snapshots of nucleotide-free complexes which miss the entire temporal sequence of coupling events. For instance, initial intermediate states might already function as a selectivity filter20,23. Functional studies using classical second messenger readouts do not allow for a quantitative comparison of distinct signaling pathways necessary to verify structural elements in the G protein that are selectively recognized by GPCRs24,25,26,27,28. In addition, it is very hard to quantify the binding of G proteins to GPCRs in biochemical assays, in particular, without assessing kinetics. Even though a recent study revealed that Gi-coupled GPCRs are more specifically demanding for cognate Gi/o C-termini than other receptors, many GPCRs exert coupling specificity predominantly by structures in the Gα subunit which still remain elusive29. For this reason, there is a compelling need to unveil molecular details of selectivity determinants beyond the Gα C-terminus which were so far only theoretically predicted for example by an evolutionary study6 but still lack experimental validation.
Based on our previous finding that in permeabilized cells Gq proteins bind in a more stable manner than Gi/o proteins to muscarinic M3 receptors (M3R)4, this study aimed at identifying the key structures in these Gα subunits which crucially affect the coupling properties. For this purpose, various Gq-based and Go-based Gα chimeras were created by systematically swapping amino acids located at the contact surface with the GPCR. FRET measurements under nucleotide depleted conditions enabled assessment of the binding stability of Gα chimeras at the Gq-coupled M3 and histaminic H1 receptor (H1R) by comparing the dissociation kinetics upon agonist withdrawal. Moreover, the activation potencies of Gα chimeras were determined in intact cells by evaluating concentration-response curves of the interaction between GRK2 and Gβγ subunits released from activated Gα subunits as a measure for physiologically relevant coupling efficiencies.
For M3R and H1R, our assays demonstrate that binding and activation characteristics of critical Gα structures extending beyond the C-terminus can be transferred onto Gα chimeras that are based on a different G protein class. Furthermore, this study revealed their distinguishable impact on coupling specificity at these consecutive events which may be receptor-specific.
Results
Distinct stabilities of M3 receptor-G protein complexes
Interactions between YFP-labeled receptors and CFP-labeled Gγ2 subunits interpreted as a G protein binding to the receptor were measured by means of FRET in single permeabilized HEK293T cells as illustrated in Fig. 1a. After washout of the nucleotides, agonist stimulation resulted in forming a stable ternary complex that was reversible upon washout of the agonist or by application of GTPγS (Fig. 1b, Supplementary Fig. 1a). In response to agonist withdrawal, M3 receptors formed more stable complexes with Gq proteins in comparison to Go proteins, whereas endogenous Gα subunits (empty pcDNA3 vectors transfected instead of Gα subunits) did not lead to noticeable FRET signals (Fig. 1b). Receptor-G protein dissociation kinetics in the absence of nucleotides were quantified by calculating the area under the curve (AUC) of normalized traces to allow for analysis of different types of decays (Fig. 1b, see magnification). Furthermore, the examination of the second decay ensured the entire depletion of potential remaining nucleotides as they were continuously purged away by the perfusion. As the evaluation of kinetics rather than amplitudes should be independent of the relative Gα expression, the expression levels were not determined as long as clear FRET signals could be detected. The significant differences in the dissociation kinetics of M3R-Gq versus M3R-Go complexes were the starting point for this study in which we studied the influence of potential G protein interaction sites on coupling specificity. Based on the results from many different studies which showed that the C-terminus (α5 helix) of the Gα subunit is important for Gα-subtype-selective G protein activation, we assumed that it is also crucial for the binding stability at the receptor25,28. Therefore, we investigated the influence of various segments of the α5 helix on the stability of M3R-G protein complexes by generating C-terminally modified chimeric Gα subunits.
Chimeric Go subunits were cloned with the aim of receiving Gq-like properties (Fig. 1c). Schemes indicate that in GoqC11 the last 11 (half of the α5 helix) and in GoqC22 the last 22 amino acids (full α5 helix) were replaced by corresponding amino acids of Gαq, whereas GoqC22-11 contains the inner C-terminal 11 amino acids of Gq while the outer ones still belong to Go. After the withdrawal of acetylcholine (ACh), there was no significant difference between the AUC of Go and GoqC11, contrary to expectations that the outermost C-terminus is the crucial binding partner of the receptor as implied by recently published GPCR-G protein structures7,8,9,10,11,12,13,14,15,16,17,18,19,20. However, constructs containing the inner α5 helix (GoqC22-11) or the full α5 helix of Gαq (GoqC22) dissociated slower than Go from the M3R, suggesting that the N-terminal half of the α5 helix contributed far more to the stability of the M3R-G protein complex than the C-terminal half (Fig. 1c).
Conversely, Gq-based chimeras (Fig. 1d) bearing parts of the C-terminal helix of Gαo were cloned analogously to Fig. 1c. Containing the C-terminal part of the α5 helix of Gαo, GqoC11 dissociated only slightly faster than Gq from the M3R, resulting in a reduced AUC of less than 5% (Fig. 1d). In contrast, the exchange of the N-terminal half of the α5 helix in GqoC22-11 and the full exchange in GqoC22 completely prevented binding (Supplementary Fig. 1b) even though the proper expression could be confirmed by immunoblots (Supplementary Fig. 1c, d). Therefore, the N-terminal half of the α5 helix seems to play a critical role in binding to M3 receptors. Absolute AUC values of all binding measurements are provided in Supplementary Fig. 2.
Activation of C-terminally modified G proteins by M3 receptors
Based on the previously cloned Gα chimeras, we intended to investigate how the stability of M3R-G protein complexes will subsequently be translated into physiologically relevant G protein activation in intact cells. For this reason, FRET-based measurements were performed by analyzing the recruitment of YFP-labeled GRK2 by CFP-labeled βγ subunits which had to be dissociated from activated Gα subunits. Thus, the Gα activation could be investigated indirectly while stimulating the M3R with increasing concentrations of carbachol (representative cells; Supplementary Fig. 3a, b). For quantification, individually calculated EC50 values related to the native Gα subunit were depicted in horizontal bars. As a result, the C-terminal α5 helix of Gαq in GoqC11 significantly increased the potency over Go (Fig. 2a) contrary to a fairly unaffected binding stability at the M3R which remained at the level of Go (Fig. 1c). With the fully exchanged α5 helix, GoqC22 displayed the most left-shifted curve, whereas GoqC22-11 containing only the N-terminal half of the α5 helix of Gαq showed up between Go and GoqC22, similar to GoqC11. This suggests that both the outermost 11 and the inner 11 amino acids of the α5 helix might contribute equally to increased activation potencies. Even though endogenous G proteins are also activated in this assay, which could not be prevented by a pertussis toxin (PTX) pretreatment (Supplementary Fig. 3c), chimeric Gα subunits showed significantly higher FRET signals at the maximum carbachol concentration than cells transfected with empty vectors (pcDNA3) instead of Gα subunits (vertical bar graphs; Fig. 2a, b).
Conversely, by replacing the C-terminal α5 helix in Gαq with Gαo, GqoC11 substantially lowered the activation potency nearly to the level of Go (Fig. 2b) although the Gq-like binding stability at the M3R was still retained (Fig. 1d). Furthermore, GqoC22 could not be activated at all (Supplementary Fig. 3d) which may be explained by the already interrupted binding (Supplementary Fig. 1b).
To prove if the rather indirect activation assay provided reliable results, we decided to directly assess the G protein activation as well by analyzing decreasing YFP/CFP emission ratios upon activation of YFP-labeled Gα and CFP-labeled Gγ2 subunits (Supplementary Fig. 4). In this assay, the potency shifts of GoqC11 and GqoC11 in relation to the respective native Gα subunit correlated well with the ones measured indirectly (Fig. 2a, b). However, the distance between the curves of Gq and Go were smaller in the direct measurement which might be attributed to differently located fluorophore insertions in Go-YFP versus Gq-YFP that seemed to alter their potency and presumably impeded their direct comparison. For this reason, the indirect activation assay with the more wild-type-like Gα subunit seemed to be more reasonable.
Examination of chimeric Go subunits achieving Gq-like binding and activation properties with M3R
As the α5 helix alone only partially contributed to binding at the M3R, we investigated new Gα structures which were previously described to interact with the receptor22,30. In our experiments, several of these structures were able to transfer Gq-like coupling properties onto Go-based chimeras. As schematically depicted in Fig. 3a, amino acids of Go were replaced by those of Gq from either the whole N-terminus including the αN/β1 hinge (GoqN), the connection of the β2/β3 sheets (Goq2), or the loop between α4 helix and β6 sheet (Goq4). In addition, Go-based chimeras were also combined with various lengths of exchanged α5 helices. Details of the swapped amino acids are illustrated in Supplementary Fig. 5a, b. In Fig. 3b, the chimeric sites are depicted by different views of the Gα surface relative to the receptor using the most related structure of the M1R-G11 complex (pdb: 6oij)19. The magnification highlights the intracellular loop 2 (ICL2) of the receptor which fits in a cleft formed by the αN/β1 hinge, the β2/β3 loop, and the N-terminal half of the α5 helix of the Gα subunit. Unfortunately, the ICL3 is not resolved in the structure but might still interact with the α4/β6-loop as the ICL3 is quite big for muscarinic receptors.
Remarkably, by replacing the N-terminus in Gαo with Gαq, GoqN chimeric constructs dissociated considerably slower than Go from the M3R (Fig. 3c). Especially double chimeras exhibited a substantially enhanced complex stability so that GoqN + C22 containing both the N-terminal and C-terminal helices of Gαq achieved almost a Gq-like binding stability. Moreover, with the β2/β3 loop of Gαq, Goq2 and Goq2 + C11 dissociated more slowly from the M3R in a similar pattern (Fig. 3d) even though Goq2 + C22 did not further increase the AUC.
Activation measurements of GoqN constructs (Fig. 3e) revealed a similar trend of increased potencies according to elevated AUCs in the binding experiments. This increase in potency was accompanied by an apparent flattening of the concentration-response curves, specifically for GoqN + C22 and GoqN + C11, a phenomenon which could not be attributed to the interference of endogenous Gi/o proteins as pertussis toxin pretreatment did not steepen the curve of GoqN + C22 (Supplementary Fig. 6). For Goq2 chimeras, we observed considerably higher activation potencies than for Go (Fig. 3f) which were almost as high as for the GoqN + C11 double chimera (Fig. 3e). However, the EC50 could not be further enhanced by additionally exchanged C-termini in Goq2 + C11 or Goq2 + C22. Maximum amplitudes for all activation measurements in comparison to pcDNA3 are provided in Supplementary Fig. 7.
To narrow down the region of the N-terminal exchange important for the stability of M3R-GoqN-complexes, we generated additional chimeric Gα subunits (Goq1, Goq1 + C11, and Goq1 + C22) carrying only 11 amino acids of the αN/β1 hinge of Gαq instead of the whole N-terminus (Fig. 3a, b). Even though their binding stabilities at the M3R resembled their GoqN counterparts (Supplementary Fig. 8a), activation potencies were hard to measure due to low amplitudes probably resulting in merged EC50 values with less potent endogenous G proteins (Supplementary Fig. 8b).
The Goq4 chimera which carries the connection between the α4 helix and the N-terminal part of the β6-sheet of Gαq addressing contacts to the ICL3 of the receptor was similar to Go in binding kinetics (Supplementary Fig. 9a) and indistinguishable in activation (Supplementary Fig. 9b). Therefore, this structure plays no vital role in the generation of G protein specificity for the M3R.
Our results so far show that not only the N-terminal half of the α5 helix of Gαq increases both the stability in M3R-complexes, as well as coupling efficiency but also the αN helix with the connection to the β1 sheet and parts of β2 and β3 sheet including their linker induce better M3R binding and coupling. Moreover, combinations of these Gq structures in addition to the α5 helix of Gαq almost lead to a complete transfer of Gq-like coupling properties onto Go-based double chimeras.
Chimeric Gq subunits retain their stability in M3 receptor complexes while activation is impaired
To check if coupling properties can also be switched the other way around, Gq-based chimeras comprising structures of Gαo were cloned in analogy to Goq chimeras (Fig. 3a, b) and tested for their binding to M3R and coupling efficiency. However, replacing the N-terminus in Gαq by Gαo revealed indistinguishable binding kinetics between GqoN and Gq (Fig. 4a), whereas the GqoN + C11 double chimera dissociated only less than 10% faster than Gq from the M3R. Similar results are true for exchanges of the β2/β3 loop in Gqo2 and Gqo2 + C11, which could mainly retain the Gq-like binding properties (Fig. 4b).
By contrast, the activation potencies of GqoN constructs were considerably lower than for Gq. The curve of GqoN (Fig. 4c) was strongly right-shifted and GqoN + C11 even further, indistinguishable from Go. In contrast, Gqo2 (Fig. 4d) did not lose potency, but the Gqo2 + C11 double chimera was right-shifted to the level of Go as well. However, the low potencies of the double chimeras were not surprising as the sole exchange of the C-terminal α5 helix in GqoC11 led already to a potency loss close to Go (Fig. 2b).
The combinations GqoN + C22 and Gqo2 + C22 could neither be bound (Supplementary Fig. 10a) nor activated (Supplementary Fig. 10b) by the M3R as previously shown with the GqoC22 single chimera (Supplementary Fig. 1b, c). Furthermore, Gqo4 comprising the α4/β6 loop of Gαo behaved identically to Gq in binding (Supplementary Fig. 11a) and activation assays (Supplementary Fig. 11b) which are in line with the Goq4 counterpart that equaled Go (Supplementary Fig. 9a, b).
Overall, the binding stability of Gq-based chimeras at the M3R can barely be lowered by replacing the N-terminus, the β2/β3 loop or additionally the C-terminal α5 helix by Gαo, whereas Go-based chimeras are able to gain distinctly enhanced binding properties if these structures are exchanged by Gαq (Fig. 3c, d). Even though the Gq-backbone ensures stable binding of Gqo chimeras to M3R, they are subsequently selectively activated by the M3R.
Binding and activation measurements of chimeric Goq and Gqo subunits with H1 receptors
After the identification of regions on Gαq and Gαo which are important for binding and coupling to M3 receptors, we wanted to test if these Gα structures are recognized by other Gq-coupled receptors as well. Therefore, we repeated the measurements with H1 receptors (H1R), which—even though closely related to M3R—have most probably independently developed the specificity of G protein coupling during evolution6. Similar to the M3R (Fig. 1c), the replacement of the whole α5 helix in Gαo by Gαq slowed the dissociation of GoqC22 from the H1R (Fig. 5a). However, different from the M3R, the H1R-G protein complex stability of GoqC11 was slightly increased over Go, whereas the stability of GoqC22-11 containing only the N-terminal half of the α5 helix of Gαq was not increased to a significant extent (Fig. 5a).
The relevance of the N-terminal helix of Gq for binding to H1R was also confirmed (Fig. 5b). The dissociation of GoqN chimeras from H1R was even slower than from M3R, so that the additional C-terminal exchange in GoqN + C11 resulted in complex stability close to Gq, whereas GoqN + C22 exhibited similar H1R-G protein complex stabilities. The β2/β3 loop of Gαq included in Goq2 constructs also improved the stability over Go in H1R complexes (Fig. 5c) in good agreement with M3R measurements (Fig. 3d). Remarkably, the double chimera Goq2 + C11 even reached the AUC of Gq, whereas for Goq2 + C22 the AUC was significantly lower. With the M3R the binding of Goq2 + C22 was not prolonged over Goq2 + C11 either, but also not disturbed. Taken together, chimeric Gq structures of the β2/β3 loop in addition to the N-terminus and C-terminus seemed to crucially enhance the binding stability of Goq chimeras at both the M3R and H1R.
For Gq-based chimeras, there was a noticeable difference between both receptors, as GqoC11 dissociated distinctly faster than Gq from the H1R (Fig. 5d) whereas the difference was less pronounced for the M3R (Fig. 1d). Therefore, the outermost 11 amino acids of the Gα C-terminus seemed to be more important for the stability of H1R complexes than for M3R complexes. However, both receptors have in common that GqoC22 did not bind at all (Supplementary Fig. 12a and Fig. 1b). Furthermore, Gqo2 in which the β2/β3 loop in Gαq was replaced by Gαo still exhibited Gq-like kinetics (Fig. 5e) in line with the M3R (Fig. 4b). The faster dissociation of Gqo2 + C11 from the H1R compared to the M3R was consistent with the influence of the Go C-terminus in GqoC11 leading to a quite fast dissociation from the H1R as mentioned before. Therefore, the exchange of the β2/β3 loop accelerated the dissociation only slightly more in the combined Gqo2 + C11 compared to GqoC11, virtually the same as with the M3R.
The most obvious difference between H1R and M3R was exerted by the exchange of the N-terminus as the binding of GqoN and also GqoN + C11 to the H1R was completely impaired (Supplementary Fig. 12b). In addition, no activation was observed (Supplementary Fig. 12c), further suggesting that the N-terminus of Gαo was detrimental for the interaction of Gq-based chimeras with the H1R. In contrast, GqoN constructs interacted well with the M3R (Fig. 4a) and were still activated (Fig. 4c).
For G protein activation measurements carried out with the H1R instead of the M3R, the differences in the concentration-response curves for specific G protein chimeras appeared to be less pronounced but still show a chimera-specific pattern. By swapping parts of the α5 helix in GoqC constructs, most activation potencies were shifted to a similar extent with H1R (Fig. 5f) and M3R (Fig. 2a). Even though the maximum amplitude of GoqC22 was just below the significance limit compared to pcDNA3 (P = 0.08; Supplementary Fig. 7), it was analyzed because of a pronounced left-shifted curve. However, the small amplitude may explain the slightly lower potency gain compared to the M3R due to competition with less potent endogenous G proteins. Remarkably, the activation of Go-based chimeras containing the N-terminal and C-terminal helices of Gq (GoqN + C11 and GoqN + C22) even exceeded the activation potency of Gq (Fig. 5g). This suggests that in contrast to the M3R, the H1R may even favor a structure in the Go backbone while potencies were still further elevated by the N-terminal and C-terminal exchange similar to the M3R. The concentration-response curves of all Goq2-like chimeras were equally left-shifted (Fig. 5h) and thus also independent of a specific C-terminus similar to M3R (Fig. 3f).
Finally, the activation of Gq-based chimeras by the H1R was investigated. The curve of GqoC11 appeared approximately at the level of Go (Fig. 5i) and thus hardly further right-shifted than activated by the M3R (Fig. 2b). In parallel, Gqo2 (Fig. 5j) revealed an unaltered potency at the level of Gq similar to the activation by the M3R. However, the curve of Gqo2 + GqoC11 activated by the H1R appeared even further right-shifted than Go, whereas the M3R always exhibited the weakest EC50 with Go (Fig. 4d). This finding might be explained by a Go backbone that is preferred for activation by the H1R in line with the previously mentioned GoqN + C11 and GoqN + C22 double chimeras that could be activated even more easily than Gq (Fig. 5g).
The exchanges of the α4/β6 loop in Goq4 (Supplementary Fig. 13a, b) and also Gqo4 (Supplementary Fig. 13c, d) did not alter complex stabilities or activation potencies compared to the native Gα subunits similar to the M3R findings.
In summary, critical structures like the β2/β3 loop together with the N-terminus and C-terminus of the Gα subunit are essential for proper binding and activation by the H1R, as well as by the M3R. However, selectivity barriers for each receptor can interfere at different time points during the coupling process, depending on the investigated structure. For instance, the exchanged C-terminal α5 helix in GqoC11 clearly impairs the binding stability at the H1R, whereas for M3R the subsequent activation of GqoC11 is considerably stronger compromised than the only slightly altered binding. The same is true for the exchanged N-terminus in GqoN which prevents binding to H1R whereas for the M3R only the subsequent activation is negatively affected. Nevertheless, most of the Gα chimeras are already specifically selected at the level of binding by both receptors.
Side-by-side comparison of coupling properties between M3R and H1R
For a side-by-side comparison, we generated heat maps that include all Gα chimeras measured with M3R and H1R. Receptor-G protein complex stabilities in permeabilized cells are represented by the AUC relative to the native Gα subunit (Fig. 6a). In summary, there were only minor differences between the M3R and the H1R in the binding of Gα chimeras except for GqoN which did not bind to H1R (depicted as a black panel) but did bind to M3R, confirming the crucial role of the N-terminus for ternary complex formation and stability. Therefore, both Gq-coupled receptors seem to selectively recognize Gα subunits by their N-terminus, β2/β3 loop, and C-terminus.
G protein activation measurements in intact cells are represented by EC50 values relative to the native Gα subunit (Fig. 6b). Overall, potency changes of Gα chimeras correlate well with the respective binding measurements (Fig. 6a) except for Gqo chimeras activated by M3R which mostly revealed remarkably strong potency losses contrary to unaltered M3R complex stabilities. This suggests that specificity for Gq-based chimeras might only be exerted at subsequent steps of the coupling process for the M3R.
Discussion
Collectively, this study unveils several key structures beyond the C-terminus in the Gα subunit which are crucially involved in the process of selective binding and coupling to Gq-coupled receptors. Moreover, comprehensive FRET measurements allowed for the differential analysis of distinct coupling events such as G protein binding and activation and their influence on specific recognition of multiple Gα chimeras by M3 and H1 receptors. For this purpose, we assessed the binding of nucleotide-free Gα subunits to agonist-occupied receptors by analyzing dissociation kinetics of stably formed complexes to quantify otherwise static interactions in recently published structures. However, early association events that might influence coupling specificity already before GDP release could not be assessed. In a subsequent step, we investigated how these complex stabilities were ultimately translated into physiologically relevant G protein activation reflected by the release of activated Gα subunits from Gβγ subunits whose interaction with GRK2 was then analyzed.
In our study, the comparisons of Gα chimeras with their related wild-type subunits revealed that under nucleotide-free conditions M3 receptors bind quite promiscuously to Go-based and Gq-based chimeras regardless of whether the distal 11 amino acids of the C-terminus were replaced by the other G protein class (in GoqC11 and GqoC11). These findings further extend the results of a previous study that lacked kinetic data to provide our measurements29. In contrast, the binding of GoqC11 to H1R was slightly enhanced, whereas GqoC11 was less stable bound at the H1R. However, this receptor-specific difference may not be unexpected because of a particularly large interface that is shared between the helical bundle of the receptor and the exposed end of the Gα C-terminal helix. Remarkably, even though the binding to the M3R was predominantly unaffected, our evidence suggests that the outermost Gα C-terminus may be critical to its subsequent activation as the activation potencies of GoqC11 and GqoC11 were substantially altered compared to Go or Gq, respectively. These results correlate well with older functional studies which showed that the amount of second messenger generation depends on the distal C-terminal helix of Gα25,28. Overall, our binding and activation experiments revealed for the M3R that specificity for the 11 most C-terminal amino acids of Gα seems to be primarily exerted after the binding had already taken place. As this might be receptor-specific, there is a need for further investigations of different receptors.
In contrast to these results, the entire 22 amino acid exchange of the α5 helix already enhanced the initial binding of GoqC22 constructs to both receptors to a significant amount which was subsequently also reflected in higher activation potencies. In the opposite case, GqoC22 chimeras did not bind to these receptors and were not activated. As the same was true if only the N-terminal half of the α5 helix was exchanged in the GqoC22-C11 construct, this is the first study, to our knowledge, to experimentally prove that the N-terminal part of the α5 helix may crucially contribute to binding and activation by Gq-coupled receptors.
Furthermore, our study has demonstrated that the N-terminus including the αN/β1-hinge and the β2/β3-loop are critical structures for selective coupling. Together with the N-terminal half of the α5 helix, they form a cavity in the Gα subunit which was previously described to interact with the ICL2 of the receptor19,23,31. However, we found that this interface is not only required for the overall binding but is essential for coupling specificity as the stable binding characteristics from Gq subunits could be transferred to Go-based chimeras by the N-terminus (in GoqN) and the β2/β3 loop (in Goq2) and subsequently also led to increased activation potencies with both receptors. In contrast, the opposite chimeric exchanges were not able to disturb the stable binding properties of Gq-based chimeras like GqoN and Gqo2 to M3 receptors, whereas the activation potency of GqoN was clearly reduced. This suggests that for Gq-based constructs binding to M3R and receptor-induced activation are at least a two-step process with distinguishable properties. For the H1R, Gqo2 also exhibited Gq-like properties, whereas GqoN was even prevented initially from being bound. Since the wild-type Go which contains the same N-terminus as GqoN could still couple to the H1R, it might be assumed that different binding modes were achieved at the receptor depending on the respective Gα backbone. Therefore, a recent study proposing a primary coupling mode for canonical signaling and a secondary coupling mode for non-canonical interactions seems to correlate well with our experiments31. As exchanges of the N-terminus or the β2/β3 loop together with the C-terminal helix of Gαq in Goq double chimeras exhibited more than just synergistic effects and thus partially achieved Gq-like properties, it is tempting to suggest that they switched from a Go-like to a Gq-like coupling mode leading to additional and stronger interactions. In contrast, Gqo chimeras seem to retain their original Gq-like binding mode with the M3R, until they get activated. For the M3R-induced activation of Go-based double chimeras, such as GoqN+C22 (Fig. 3e), our data show a curve flattening of the concentration-response curve which cannot be seen for the H1R-induced activation (Fig. 5g). This finding is puzzling, as the contribution of endogenous G proteins could be excluded. We have no obvious explanation for this phenomenon and can only speculate that Gαq-binding to a polybasic motive in the C-terminus of M3R could be involved32 since H1R lacks this motive.
In conclusion, we differentially assessed Gα chimeras for the first time to our knowledge in regard to their ability to be selectively bound and activated by two different Gq-coupled receptors. We identified Gα structures such as the N-terminus including the αN/β1 hinge, together with the β2/β3 loop and the N-terminal and C-terminal parts of the α5 helix to exert major functions for coupling specificity, whereas the α4/β6 loop, which was mentioned in previous studies to also interact with receptors, did not alter binding or activation properties of Gα subunits in our experiments22,30. Furthermore, we found that all Gα chimeras containing Gαo as the backbone were already specifically selected for binding by both the M3R and the H1R. In contrast, for some Gq-based chimeras comprising the C-terminal α5 helix of Gαo (GqoC11) or the N-terminus of Gαo (GqoN) selectivity barriers primarily interfered at the subsequent activation for M3R, contrary to H1R. Therefore, we suggest that selectivity mechanisms are specifically fine-tuned for each receptor and occur at different time points during the multi-step coupling process. In the future, it would be reasonable to also investigate GPCRs with different coupling profiles to expand the scope of this project more toward a general mechanism.
Methods
Reagents
DMEM, FBS, penicillin/streptomycin, L-glutamine, and trypsin-EDTA were purchased from Capricorn Scientific, NEBuilder HiFi DNA Assembly kit and Q5 Polymerase from New England Biolabs, Effectene Transfection Reagent from Qiagen, a saponin from AppliChem, poly-L-lysine hydrobromide, GTPγS, acetylcholine, and carbachol from Sigma-Aldrich, histamine from Alfa Aesar and pertussis toxin from Merck.
Plasmids
cDNAs for human H1R-WT33, mouse Gαq-WT and Gαq-YFP (YFP inserted between F124 and E125)34, PTX insensitive (C351I mutation) rat Gαo and Gαo-YFP (YFP inserted between L91 and G92)35 and human Gβ1-WT36 were described previously. M3R-WT was obtained from the cDNA Resource Center (www.cDNA.org) and pcDNA3 from Invitrogen. Bovine mTurq2-Gγ2, human M3R-mCit, and human GRK2-mCit have been cloned by exchanges of the fluorophores in CFP-Gγ236, M3R-YFP37 and GRK2-YFP38 by mTurquoise2 or mCitrine, respectively. For H1R-mCit, mCitrine was C-terminally attached to H1R-WT33 analogously to M3R-YFP37.
Cloning of Gα chimeras
Gα chimeras were generated by the Gibson Assembly method without insertion of restriction sites using the NEBuilder HiFi DNA Assembly kit and Q5 Polymerase for PCRs according to the manufacturer’s protocols39. For Gqo chimeras, Gαq-WT was used as the backbone, and for Goq chimeras Gαo C351I. The inserted DNA was obtained from the respective other Gα subtypes. All PCR primers were synthesized and final constructs sequenced by Eurofins Genomics. Oligo sequences are provided in Supplementary Table 1.
Cell culture and transfections
Experiments were performed in transiently transfected HEK293T cells (a gift from the Lohse laboratory, University of Wuerzburg, likely from ATCC) which were cultured in DMEM (4.5 g L−1 glucose) supplemented with 10% FBS, 2 mM L-glutamine, 100 U mL−1 penicillin and 0.1 mg mL−1 streptomycin at 37 °C in a humidified atmosphere with 5% CO2. Transfections were conducted in 6 cm dishes using Effectene Transfection Reagent according to the manufacturer’s protocol. The transfection for the binding assay contained 0.5 µg M3R-mCit or 0.8 µg H1R-mCit, 1.5 µg of the indicated Gα, 0.5 µg Gβ1, 0.2 µg mTurq2-Gγ2 and 0.3 µg pcDNA3 (only if M3R-mCit was used to compensate for the lower DNA amount compared to H1R-mCit). For the activation assay, the transfection contained 0.5 µg M3R or H1R, 1.5 µg of the indicated Gα, 0.5 µg Gβ1, 0.2 µg mTurq2-Gγ2 and 0.3 µg GRK2-mCit. 24 h after transfection, cells were plated on 25 mm poly-L-lysine coated coverslips, and experiments were performed 1 d thereafter.
FRET measurements
FRET measurements were carried out at room temperature using an inverted microscope (Axiovert 100; Zeiss), equipped with a ×60 oil-immersion objective (PlanApo N ×60/1.45 Oil; Nikon), LED light sources with excitation intensities set to 4% for 440 nm and 10% for 500 nm (pE-100; CoolLED) and a high-performance CCD-camera (Spot Pursuit from Spot Imaging/Diagnostic Instruments). During FRET measurements, CFP was excited between 420 nm and 450 nm by an excitation filter (436/20; Chroma) and a dichroic beam splitter (458LP; Semrock). Fluorescence emission of CFP and YFP was simultaneously collected side-by-side by a second beamsplitter (505LP; Chroma) and two emission filters (CFP: 470/24; Chroma and YFP: 525/39; Semrock). Cells were illuminated by short light flashes of 60 ms with a frequency of 0.5 Hz while they were superfused via a pressure-driven perfusion system (VC3-8xP Series; ALA Scientific Instruments). Data were collected by the VisiView software (Visitron Systems). Corrections for the background fluorescence, the spillover of CFP into the YFP channel, and the direct YFP excitation at 420–450 nm were calculated in Microsoft Excel 2019. The YFP/CFP emission ratio as a measure of FRET was then adjusted for photobleaching by an exponential baseline subtraction with OriginPro 2018 (OriginLab) resulting in the final FRET ratio indicated as Δ(FYFP/FCFP).
Binding assay in permeabilized cells
Prior to the experiment, the coverslip with adherent cells was fixed in a microscope chamber and washed once with external buffer (NaCl 137 mM, KCl 5.4 mM, HEPES 10 mM, CaCl2 2 mM, MgCl2 1 mM, pH = 7.35). Then it was incubated for 2.5 min with a 0.075% saponin solution in an internal buffer (K+ aspartate 100 mM, KCl 30 mM, NaCl 10 mM, HEPES 10 mM, EGTA 5 mM, MgCl2 1 mM, pH = 7.35) and afterward washed five times with internal buffer. The permeabilization process was optimized by an adequate saponin concentration and incubation time followed by sufficient washing steps to ensure nucleotide-free conditions as previously demonstrated4. Under the microscope, single cells were selected for membrane staining with CFP and YFP and a round shape as an indicator for full permeabilization. During the measurement, cells were superfused with an internal buffer or buffer containing the indicated agonist or GTPγS. Imaging and general data processing were performed as described in the previous section (see “FRET measurements” section). Examination of the 2nd washout phase of the agonist ensured the entire depletion of potential remaining nucleotides as they were continuously purged away by the perfusion. After the baseline was subtracted to 0 at the level of GTPγS application, the FRET ratio Δ(FYFP/FCFP) was normalized to the second peak set to 1. The stability of receptor-G protein complexes was quantified by the AUC (calculated by the trapezoidal method in Microsoft Excel) in order to compare different types of dissociation kinetics (e.g., linear and exponential). The AUC was plotted in relation to the respective native Gα subunit (ΔAUC) with Graphpad Prism 8.4.
Indirect G protein activation assay: GRK2 recruitment by Gβγ subunit
As an indirect measure of G protein activation, mCitrine-labeled GRK2 is recruited by mTurquoise2-labeled βγ subunits after dissociation from activated Gα subunits. Prior to the experiment, adherent cells were washed once with external buffer (NaCl 137 mM, KCl 5.4 mM, HEPES 10 mM, CaCl2 2 mM, MgCl2 1 mM, pH = 7.35). Under the microscope, a group of cells was selected for membrane staining of CFP and bright cytosolic staining of YFP and was continuously superfused during the measurement with external buffer or the consecutive application of buffer containing increasing agonist concentrations up to 500 µM carbachol or histamine. Steady-state responses of all concentrations were measured in each cell. Imaging and general data processing were performed as described in the previous section (see “FRET measurements” section). The FRET ratio Δ(FYFP/FCFP) was normalized to the response at the maximum concentration set to 1. Concentration-response curves were fitted by GraphPad Prism 8.4 with variable slopes, the bottom constrained to 0 and the top to 1. For a detailed quantification, EC50 values were determined for each measurement and plotted relative to the native Gα subunit in horizontal bars as ΔlogEC50. Absolute amplitudes at the maximum concentration were compared for every Gα subunit against empty vectors (pcDNA3) instead of a transfected Gα subunit to check for specific activation over endogenously expressed Gα subunits.
Statistics and reproducibility
Results are represented as means ± SEM from at least three independent experiments (transfections) of n individual cells with n ≥ 7 for all experimental groups. Data were only excluded if technical problems with the perfusion system occurred. Statistical analyses were performed using GraphPad Prism 8.4. One-tailed t-tests were used for comparison of two groups whereas one-way ANOVAs were used to compare more than two groups followed by Tukey’s posttests to test each condition against the mean of every other condition or followed by Dunnett’s posttest to compare each group against a control. Differences were considered statistically significant for P < 0.05. If differences were only one star significant (0.01 ≤ *P < 0.05), measurements were requested to have n ≥ 10 with a maximum difference of four n’s between the lowest and highest sample size.
Further methods
Immunoblotting for the analysis of Gα expression levels, the direct G protein activation assay, and the pertussis toxin pretreatment which were used for experiments shown in Supplementary Figures are described in Supplementary Methods.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Data availability
The datasets generated and analyzed during this study which are not included in the Supplementary Data File are available from the corresponding author on reasonable request.
Change history
25 October 2021
The Funding information section was missing from this article and should have read ‘Open Access funding enabled and organized by Projekt DEAL’. The original article has been corrected.
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V.J. and M.B. wrote the manuscript and designed the study and experiments. V.J. and N.M. designed and performed the experiments, M.B. supervised the study.
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Jelinek, V., Mösslein, N. & Bünemann, M. Structures in G proteins important for subtype selective receptor binding and subsequent activation. Commun Biol 4, 635 (2021). https://doi.org/10.1038/s42003-021-02143-9
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DOI: https://doi.org/10.1038/s42003-021-02143-9
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