Common activation mechanism of class A GPCRs

  1. Qingtong Zhou
  2. Dehua Yang
  3. Meng Wu
  4. Yu Guo
  5. Wanjing Guo
  6. Li Zhong
  7. Xiaoqing Cai
  8. Antao Dai
  9. Wonjo Jang
  10. Eugene I Shakhnovich
  11. Zhi-Jie Liu
  12. Raymond C Stevens
  13. Nevin A Lambert
  14. M Madan Babu  Is a corresponding author
  15. Ming-Wei Wang  Is a corresponding author
  16. Suwen Zhao  Is a corresponding author
  1. ShanghaiTech University, China
  2. Shanghai Institute of Materia Medica, Chinese Academy of Sciences, China
  3. University of Chinese Academy of Sciences, China
  4. Augusta University, United States
  5. Harvard University, United States
  6. MRC Laboratory of Molecular Biology, United Kingdom
  7. Fudan University, China

Peer review process

This article was accepted for publication as part of eLife's original publishing model.

History

  1. Version of Record updated
  2. Version of Record published
  3. Accepted Manuscript published
  4. Accepted
  5. Received

Decision letter

  1. Yibing Shan
    Reviewing Editor; DE Shaw Research, United States
  2. Olga Boudker
    Senior Editor; Weill Cornell Medicine, United States

In the interests of transparency, eLife publishes the most substantive revision requests and the accompanying author responses.

Acceptance summary:

This manuscript reports the structural analysis of class A GPCR activation mechanism by developing a novel residue-residue contact score (RRCS) and comparing this score between the active and inactive class A GPCR structures. From this analysis, the authors propose an activation pathway from extracellular ligand binding to the intracellular coupling of signal transducers like G proteins. The proposed pathway involves four clusters (layers) of residues. This proposed activation mechanism is supported by the accompanying mutagenesis experiments.

Decision letter after peer review:

Thank you for submitting your article "Universal activation mechanism of class A GPCRs" for consideration by eLife. Your article has been reviewed by three peer reviewers, one of whom is a member of our Board of Reviewing Editors, and the evaluation has been overseen by Olga Boudker as the Senior Editor. The reviewers have opted to remain anonymous.

The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.

Essential revisions:

1) There are more than 800 different GPCRs in human body, 45 structures were resolved in class A, and only 4 pairs of single static structures have been analyzed in details in this report. While the analysis aiming to reveal a shared GPCR activation mechanism is a meaningful attempt, it is premature to claim a "universal" activation mechanism. It would be surprising if the activation elements involved in Gs coupling and Gi coupling receptors are entirely conserved, given that the dramatic difference in the outward movement in the cytoplasmic end of TM6 and that the coupling of GPCRs with different intracellular transducers is subjected to different conformational changes. At best we can hope that the proposed mechanism provides a framework and a common language for future structural/mechanistic analysis of GPCRs, and different GPCRs (especially GPCRs of the A family) may to variously degrees and in different aspects resemble proposed mechanism. The entire manuscript, especially the title and the Abstract, needs revision in recognition of this understanding.

2) Within this four detailed analyzed structure, RHO actually doesn't have agonist. It is not justified to include RHO as an example for analysis.

3) Can the authors based on their proposal provide explanation of the basis for GPCR coupling to different G proteins using the RRCS analysis?

4) The author always assumed that ligand binding is located above the highly conserved W6.48, but there are more and more new structures indicated that the ligand could actually diffuse as deep as below D2.50. This is represented by the structure of LTB4 receptor (Nat. Chem. Biol. 14: 262-269) as well as several others. The revision should discuss how a deeper ligand binding would affect their conclusion.

5) Many non-orthosteric ligand binding site have been captured in crystal structures (Sci Rep. 2019; 9: 6180; Front Pharmacol. 2018; 9: 128). How does the proposed activation mechanism provides new insight to these non-orthosteric ligand bindings.

6) The activation mechanism and G protein specificity have been extensively discussed previously (e.g. Nature Structural and Molecular Biology 25(2):185-194 (2018); Nature 545: 317-322 (2017); Nature 536: 484-487 (2016); Nature Chemical Biology 14: 1059-1066(2018); Chem. Rev.20171171139-155). A summary of these discussions should be provided in an expanded Introduction, and the proposed mechanism should be contextualized with respect to the current understanding. Related, the citation of 19 references in one stroke is highly unconventional; this should be revised with a more nuanced account of the current structural understanding of GPCRs.

7) Certain aspects of the proposed model have already been reported, and the authors in the revision should make a special effort in making sure that these reports are properly cited.

8) The description for the four layer elements in the activation pathway as "modular" is quite misleading. "Modular" means isolated and functionally independent, like classic DNA-binding domain and transcriptional activation domain in transcription factors, which can function separately and can be exchanged between transcriptional factors. In this paper, the modality of the four layers in GPCR activation has not been demonstrated. It is not clear whether layer elements can be exchanged between different receptors.

9) Compared to the diverse residue types in the Class A GPCR activation pathways, residues involved in class B GPCR activation appeared to be much more conserved as presented in the recent PTH1R receptor. Discussing the difference and similarity of class A and class B GPCR activation will broaden the interests and impact of the paper.

10) The authors introduced biological mutation experiment to support their ideas. It should be made clear that a positive result can only show the involvement of the mutated residue in GPCR activation, but cannot confirm a residue-residue interaction. With this in mind, the claims associated with the mutation data should be re-calibrated.

11) The paper will be much strengthened if the mutagenesis experiments performed on A2aR are also performed for one of representative Gi coupled receptors. (Probably not the whole set of mutants but the representative CAM and CIM for a Gi coupled receptor.)

12) To confirm the predicted residue-residue interactions, it would be highly desirable to use NMR to show correlated signal changes of the residue pairs.

https://doi.org/10.7554/eLife.50279.sa1

Author response

Essential revisions:

1) There are more than 800 different GPCRs in human body, 45 structures were resolved in class A, and only 4 pairs of single static structures have been analyzed in details in this report. While the analysis aiming to reveal a shared GPCR activation mechanism is a meaningful attempt, it is premature to claim a "universal" activation mechanism. It would be surprising if the activation elements involved in Gs coupling and Gi coupling receptors are entirely conserved, given that the dramatic difference in the outward movement in the cytoplasmic end of TM6 and that the coupling of GPCRs with different intracellular transducers is subjected to different conformational changes. At best we can hope that the proposed mechanism provides a framework and a common language for future structural/mechanistic analysis of GPCRs, and different GPCRs (especially GPCRs of the A family) may to variously degrees and in different aspects resemble proposed mechanism. The entire manuscript, especially the title and the Abstract, needs revision in recognition of this understanding.

We thank the reviewers for the comments. In the revised manuscript, we have reworked on the title, the Abstract and related contents to ensure the accuracy and clarity.

We discuss possible misunderstandings of our work below:

First, we analyzed 6 inactive vs. fully active pairs of structures in detail (listed in Author response table 1, inactive state is in orange) but not 4 pairs, as shown in Figure 2D, Figure 2—figure supplement 1, and Results paragraph two. These structures were picked based on their high quality. That is, they are all of high-resolution, no mutation or only one mutation in the transmembrane domain which is known not to affect receptor signaling. These 6 pairs were also selected for analysis by the previous research [Venkatakrishnan, et al. Nature 536.7617 (2016): 484.].

Author response table 1
List of twelve structures of six receptors.
GPCRPDB codeResolution (Å)Ligand
G protein/G protein memetic
StateMutation in the TM region
bRho1GZM2.711-cis-retinal (inverse agonist, covalently bound)InactiveNo mutation
3PQR2.9All-trans-retinal (agonist, covalently bound)
GαCT2 (G protein peptide)
ActiveNo mutation
β2AR2RH12.4Carazolol (inverse agonist)InactiveNo mutation
3SN63.2BI-167107 (agonist)
Gs (G protein)
ActiveNo mutation
M2R3UON3.03-quinuclidinyl-benzilate (antagonist)InactiveNo mutation
4MQS3.5Iperoxo (agonist)
Nb9-8 (nanobody)
ActiveNo mutation
μOR4DKL2.8β-funaltrexamine (antagonist)InactiveNo mutation
5C1M2.1BU72 (agonist)
Nb39 (nanobody)
ActiveNo mutation
A2AR3EML2.6ZM241385 (antagonist)InactiveNo mutation
5G533.4NECA (agonist)
Mini-Gs (engineered G protein)
ActiveNo mutation
κOR4DJH2.9JDTic (antagonist)InactiveI135L (3×29)
6B733.1MP1104 (agonist)
Nb39 (nanobody)
ActiveI135L (3×29)

More importantly, beyond the analysis on the six receptors, we performed a class-wide RRCS comparison between the 142 inactive and 27 active state class A GPCR structures to identify residue pairs showing statistically significant different RRCS scores (P<0.001; two sample t-test) upon activation (Figure 2D, Figure 2—source data 2, Materials and methods). The combination of such an analysis and the across-class comparison could take the full advantage of tremendous successes of GPCR structural biology in the past decade, and only this exercise would give us the confidence to claim what we discovered are common to diverse class A GPCRs.

Second, the common activation pathway we discovered is a shared portion among Gs, Gi, and arrestin activation pathways of various receptors stimulated by various agonists. At the same time, receptors that do have their own receptor-, agonist-, and effector-specific pathways are not the focus of this study. Therefore, we totally agree that activation elements involved in Gs and Gi coupling are NOT entirely conserved (i.e., biased signaling), and we had avoided to use this term in the manuscript.

2) Within this four detailed analyzed structure, RHO actually doesn't have agonist. It is not justified to include RHO as an example for analysis.

We agree with the reviewers on the importance of structure selection to study receptor activation.

As listed in the Author response table 1, we used a high quality (2.9 Å resolution) structure (PDB: 3PQR) as the fully active state structure of Rho, which has all-trans-retinal (i.e., agonist) covalently bound.

In fact, we did investigate a low resolution (4.5 Å for the overall complex, in local resolution map, the receptor part has even a lower resolution) cryo-EM structure of the Rho-Gi complex (PDB: 6CMO), in which agonist is missing. It serves as a negative control for our analysis. We noticed that 6CMO has 8 pairs of residues that do not match the common activation pathway (i.e., 8 outliers out of 34 residues pairs), and we attributed these mismatches to the rather low resolution of the structure and probably the missing of agonist. The positive control is a 3.1 Å crystal structure of the Rho-mini-Go complex (PDB: 6FUF), for which no outliers were observed (Figure 4, Figure 4—figure supplement 1 and Figure 4—figure supplement 2). These results reflect that our RRCS approach is dependent on the high-quality structures.

3) Can the authors based on their proposal provide explanation of the basis for GPCR coupling to different G proteins using the RRCS analysis?

This is a good question. After we developed the RRCS analysis, we have been trying to find possible applications for this method. In theory, this method could be used to analyze any system that have big or subtle but significant conformational changes. The limit is that it really relies on the accuracy of side chain conformations, thus high-resolution structures are the key.

We did apply the RRCS analysis to study G protein selectivity and failed to reach any meaningful conclusions. This may be caused by following reasons:

a) Lack of high resolution GPCR-G protein complex structures. Author response table 2 lists all available GPCR-G protein complexes to date (14 structures from 10 receptors). However, 6 of them have poor resolution (lines in gray) thus are not qualified for the RRCS analysis. For the other cryo-EM structures, carefully checking the local resolution for the GPCR-G protein interface but not directly use the overall resolution of the whole complex is need before doing any RRCS calculation, since in general, large Gβ protein has the highest resolution in the complex. Hopefully, with more high-resolution complexes determined, RRCS analysis may help answer the question of G protein selectivity.

Author response table 2
List of GPCR-G protein complex structures.
ReceptorPDB codeMethodResolution (Å)Ligand + G protein/G protein memetic
A2AR5G53X-ray3.4NECA + Mini-Gs
A2AR6GDGcryo-EM4.1NECA + Mini-Gs
β2AR3SN6X-ray3.2BI-167107 + Gs
β2AR6E67X-ray3.7BI-167107 + Fused Gs C-terminal
Rho6CMOcryo-EM4.5Gi
Rho6FUFX-ray3.1all-trans-retinal +Mini-Go
μOR6DDE/6DDFcryo-EM3.5DAMGO + Gi
A1AR6D9Hcryo-EM3.6Adenosine + Gi2
5-HT1B6G79cryo-EM3.8Donitriptan + Go
CB16N4Bcryo-EM3.0MDMB-Fubinaca + Gi
NTSR16OSAcryo-EM3.0JMV449 + Gi1 (NC state)
NTSR16OS9cryo-EM3.0JMV449 + Gi1 (C state)
M2R6OIKcryo-EM3.6Iperoxo + LY2119620 +GoA
M1R6OIJcryo-EM3.3Iperoxo + G11

b) It is known that G-protein activation is a complex process1, 2 which may have several states. Taking NTSR1–Gi1 complexes for example, a canonical-state and a non-canonical state of G protein were determined showing different hNTSR1–Gi1 interfaces. The complexity of this dynamic process also increases the difficulty of RRCS analysis.

c) The G protein coupling region is much more diverse in sequence compared to intracellular half of the TM domain in which our common activation pathway locates. Thus, different receptors may recognize different positions of the G-protein through distinct residues, like multiple keys (receptors) opening the same lock (G protein) using non-identical cuts, as a previous study pointed out.3

4) The author always assumed that ligand binding is located above the highly conserved W6.48, but there are more and more new structures indicated that the ligand could actually diffuse as deep as below D2.50. This is represented by the structure of LTB4 receptor (Nat. Chem. Biol. 14: 262-269) as well as several others. The revision should discuss how a deeper ligand binding would affect their conclusion.

We thank the reviewers for providing the valuable insights. We took this suggestion and added analysis for several crystal structures (PDB: 5X33, 6K1Q and 6BQH, Author response table 3), the ligand of which diffuses as deep as below D2.50. These ligands are all inverse agonists that touch/occupy the Na+ pocket. By taking the space of the Na+, they prevented the collapse of Na+ pocket, as well as blocking the rotation of W6.48, leading to lock the receptors to an inactive state.

Author response table 3
List of three inverse agonist-bound structures.
GPCRPDB codeLigandLigand typeNa+ mimic group in ligandOccupying Na+ pocket
BLT15X33BIIL260Inverse agonistYesYes
ETB6K1QIRL2500Inverse agonistNoYes
5-HT2C6BQHRitanserinInverse agonistNoNo

These observations are consistent with our activation model and functional study of A2AR mutants. As shown in Figure 6, Figure 6—source data 1, Figure 6—source data 2 and Figure 6—figure supplement 1, three mutations of A2AR (L482x46R, N2807x45R and N2847x49K) that form slat bridges with D2.50 and stabilize the inactive state were shown to abolish cAMP accumulation as expected.

Interestingly, for D2.50, only loss-of-function disease mutations (Figure 7B) or constitutively inactivating mutations (Figure 7C) were observed for 24 receptors, implying that D2.50 is indispensable for receptor activation. These finding are also supported by the NMR study of A2AR4, which demonstrated the role of D522.50 as an allosteric link between the orthosteric drug binding site and the intracellular signaling surface4.

5) Many non-orthosteric ligand binding site have been captured in crystal structures (Sci Rep. 2019; 9: 6180; Front Pharmacol. 2018; 9: 128). How does the proposed activation mechanism provides new insight to these non-orthosteric ligand bindings.

We thank the reviewers for raising this point. Exactly as the recommended literature revealed, allosteric modulation of GPCR provides a promising potential of pharmacological intervention, due to the diversity in location, mechanism, and selectivity of allosteric ligands.

A list of reported allosteric modulators among determined structures of class A GPCRs are listed in Author response table 4, with PAMs labeled in green.

Author response table 4
List of allosteric modulators among determined structures of class A GPCRs.
Location of binding siteReceptorLigandLigand typePDB code
Intracellular pocketβ2ARCMPD-15PANegative allosteric modulator5X7D
CCR9VercirnonAntagonist5LWE
CCR2CCR2-RA-[R]Antagonist5T1A
Extra-helical binding siteC5aRNDT9513727Inverse agonist5O9H
C5aRavacopanAllosteric antagonist6C1R
C5aRNDT9513727Allosteric antagonist6C1Q
β2ARcompound-6FAPositive allosteric modulator6N48
P2Y1BPTUantagonist4XNV
GPR40AP8Full allosteric agonists (agoPAM)5TZY
GPR40Compound 1Full agonist5KW2
PAR2AZ3451Antagonist5NDZ
Non-canonical binding pocketGPR40TAK-875Ago-allosteric modulator4PHU
GPR40MK-8666Ago-allosteric modulator5TZR
PAR2AZ8838antagonist5NDD
Extracellular vestibule above the orthosteric siteM2LY2119620Positive allosteric modulator4MQT

As we can see, the locations of binding site are quite diverse for GPCR allosteric modulators, and so do the mechanisms as one can expect.

Here is our brief analysis of the possible mechanisms. A) Directly altering the common activation pathway. For example, for allosteric modulators bound to the intracellular pocket of their receptor (PDB: 5X7D, 5LWE and 5T1A), they exert antagonism by preventing G protein coupling. B) Having receptor-, ligand-, and effector-specific pathways. An example is compound-6FA (in PDB 6N58), which binds to the extrahelical surface of β2AR, but also directly interacts with G protein. C) A mixture of the above two mechanisms.

6) The activation mechanism and G protein specificity have been extensively discussed previously (e.g. Nature Structural and Molecular Biology 25(2):185-194 (2018); Nature 545: 317-322 (2017); Nature 536: 484-487 (2016); Nature Chemical Biology 14: 1059-1066(2018); Chem. Rev.20171171139-155). A summary of these discussions should be provided in an expanded Introduction, and the proposed mechanism should be contextualized with respect to the current understanding. Related, the citation of 19 references in one stroke is highly unconventional; this should be revised with a more nuanced account of the current structural understanding of GPCRs.

We thank the reviewer for the comments. We significantly rewrote the Introduction part to reflect the previous understanding of GPCR activation. Many more references are cited now.

7) Certain aspects of the proposed model have already been reported, and the authors in the revision should make a special effort in making sure that these reports are properly cited.

We thank the reviewer for this comment. We have greatly increased the citation and number of references to reflect previous findings on GPCR activation mechanism.

8) The description for the four layer elements in the activation pathway as "modular" is quite misleading. "Modular" means isolated and functionally independent, like classic DNA-binding domain and transcriptional activation domain in transcription factors, which can function separately and can be exchanged between transcriptional factors. In this paper, the modality of the four layers in GPCR activation has not been demonstrated. It is not clear whether layer elements can be exchanged between different receptors.

We changed the word modular to modular nature, we meant each layer has different function and can be activated/inactivated in a rather independent manner, as shown in our mutagenesis study (Figure 6B).

Analyzing residue pairs in each layer of the common activation pathway for intermediate structures (i.e., only agonist but not G protein bound structures) also supports the modular nature of the common activation pathway. As shown in Author response image 1, β2AR (3PDS) only has layer 4 in the active state; 5-HT2B (6DS0) has layers 2 and 3 partially activated, while leaving layers 1 and 4 not activated; A2AR (2YDV) and LPA6 (5XSZ) have layers 1-3 all partially activated, while leaving layer 4 untouched; and US28 (4XT1) has layers 2-4 in fully active state, while layer 1 is largely inactivated.

Author response image 1
Receptor activation process via intermediate structures (i.e., only agonist but not G protein bound structures) are in receptor- and ligand-specific manner, thereby highlighting the modular nature and complexity of the activation pathways.

9) Compared to the diverse residue types in the Class A GPCR activation pathways, residues involved in class B GPCR activation appeared to be much more conserved as presented in the recent PTH1R receptor. Discussing the difference and similarity of class A and class B GPCR activation will broaden the interests and impact of the paper.

We thank the reviewers for this suggestion. Actually, the idea of applying RRCS on other allosteric systems including class B GPCRs is on our to-do-list. However, we have not done so due to the following reasons:

a) Different from class A GPCRs, only one receptor (GLP-1R) has been determined with both inactive and fully active state structures, while other receptors only have either antagonist-bound inactive structures or G protein-bound active structures.

Author response table 5
List of available class B GPCRs structures.
ReceptorPDB codeMethodResolution (Å)Ligand + G protein/G protein memeticStates
CRF1R4K5YX-ray2.9Antagonist CP-376395Inactive
CRF1R4Z9GX-ray3.2Antagonist CP-376395Inactive
CTR6NIYcryo-EM3.3Peptide ligand + GsActive
CTR5UZ7cryo-EM4.1Peptide ligand + GsActive
CGRP6E3Ycryo-EM3.3CGRP + GsActive
GCGR4L6RX-ray3.3No ligand was seenInactive
GCGR5EE7X-ray2.5Antagonist MK-0893Inactive
GCGR5YQZX-ray3.0Partial agonist NNC1702Intermediate
GCGR5XEZX-ray3.0Negative allosteric modulator NNC0640Inactive
GCGR5XF1X-ray3.2Negative allosteric modulator NNC0640Inactive
GLP-1R5VAIcryo-EM4.1human GLP-1 + GsActive
GLP-1R6B3Jcryo-EM3.3Exendin-P5 + GsActive
GLP-1R5NX2X-ray3.7Truncated peptide agonistIntermediate
GLP-1R5VEWX-ray2.7PF-06372222Inactive
GLP-1R5VEXX-ray3.0NNC0640Inactive
PTH1R6FJ3X-ray2.5Peptide agonist ePTHIntermediate
PTH1R6NBHcryo-EM3.5A long-acting PTH analog + GsActive
PTH1R6NBIcryo-EM4.0A long-acting PTH analog + GsActive
PTH1R6NBFcryo-EM3.0A long-acting PTH analog + GsActive

b) The active state structures of class B GPCRs are all EM structures, their resolutions are generally low compared to that of crystal structures. As mentioned before, the RRCS analysis highly relies on the quality of side chain conformations. More class B structures with resolution higher than 3.0 Å are needed.

c) The primary results of RRCS on class B GPCRs revealed that RRCS could describe the well-known conformational changes including the HETX motif (Nature. 2017;546(7657):248-2535) very well (Author response image 2).

Author response image 2
Calculated RRCS for the HETX motif in class B GPCRs.

The comparison of the activation mechanism between classes A and B GPCRs have been frequently discussed6. The most notable conformational change in class B GPCRs is the sharp kink and unwinding in the middle of TM6, as observed for GLP-1R5/CTR7/CGRP8/PTH1R9. Another notable difference is the signal initiation and transduction pathway: class A has PIF/CWxP/Na+ pocket/DRY/NPxxY motifs, while class B has totally different conserved motifs. Despite these differences, they both couple G protein in similar orientation, highlighting the converge of signal transduction in the cytoplasmic region.

10) The authors introduced biological mutation experiment to support their ideas. It should be made clear that a positive result can only show the involvement of the mutated residue in GPCR activation, but cannot confirm a residue-residue interaction. With this in mind, the claims associated with the mutation data should be re-calibrated.

Thank the reviewer for raising this point. We were very careful when making mechanistic interpretations of the successfully predicted mutants, we always used the words “likely”, “would”, and “probably” to avoid any confirmation of residue-residue interactions, unless such interactions were reported by NMR studies.

11) The paper will be much strengthened if the mutagenesis experiments performed on A2aR are also performed for one of representative Gi coupled receptors. (Probably not the whole set of mutants but the representative CAM and CIM for a Gi coupled receptor.)

Thank the reviewer for the suggestion. We expanded our mutagenesis studies to two additional receptors: Gs-coupled 5-HT7 and Gi-coupled 5-HT1B. The three mutations on the Gs-coupled 5-HT7 were designed and validated by Dr. Nevin Lambert (who designed the mutations by directly following our designs on A2AR reported in the preprint of this manuscript. We did not interact with each other before this paper was submitted to the preprint server). The four mutations on the Gi-coupled 5-HT1B were validated by ourselves. All the mutations are remarkably consistent with what we discovered in A2AR. We added a new figure (Figure 6—figure supplement 2) to show the new mutagenesis data.

12) To confirm the predicted residue-residue interactions, it would be highly desirable to use NMR to show correlated signal changes of the residue pairs.

This is an excellent suggestion. Exactly, NMR study could provide comprehensive and precise information on residue contacts changes upon receptor activation. Although we were unable to perform NMR study due to 2-month time limit and lack of expertise, we collected and analyzed published NMR data, which covered several regions in the common activation pathway, including residues at 5.57, 3.40, 5.58, 7.53, the Na+ pocket, TM6 and DRY motif. The following is a brief summary of our analysis.

Isogai et al. in the NMR study of turkey β1-adrenergic receptor (β1AR)10 demonstrated that chemical shifts of the labeled V2265.57 correlate linearly with ligand efficacies of the G protein pathway, thereby proving the involvement of residue 5.57 in receptor activation. The same NMR study also showed the participation of three residues (V1293.40, A2275.58, and L3437.53) in receptor activation through NMR response to ligand binding and point mutations (V1293.40I, A2275.58Y, and L3437.53Y) These results provide experimental evidence at high resolution of an extensive signal transduction network that connects the ligand binding site to the intracellular sides of TM5, TM6, and TM7.

Notably, 5.57, 3.40, 5.58 and 7.53 are nodes in our common activation pathway. Exactly as shown in Figure 5 and Figure 5—figure supplement 1, receptor activation involves the elimination of TM3-TM6 contacts, formation of TM3-TM7 and TM5-TM6 contacts, reflecting the outward movement of the cytoplasmic end of TM6 away from TM3, the inward movement of TM7 towards TM3 and the repacking of TM5 and TM6.

By using stable isotope NMR study for A2A adenosine receptor (A2AR)4,Eddy et al. observed the interplay of the ‘‘toggle switch’’ W2466.48 with the allosteric center at D522.50. The observation is modelled in Figures 3 and 5 of our manuscript.

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https://doi.org/10.7554/eLife.50279.sa2

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  1. Qingtong Zhou
  2. Dehua Yang
  3. Meng Wu
  4. Yu Guo
  5. Wanjing Guo
  6. Li Zhong
  7. Xiaoqing Cai
  8. Antao Dai
  9. Wonjo Jang
  10. Eugene I Shakhnovich
  11. Zhi-Jie Liu
  12. Raymond C Stevens
  13. Nevin A Lambert
  14. M Madan Babu
  15. Ming-Wei Wang
  16. Suwen Zhao
(2019)
Common activation mechanism of class A GPCRs
eLife 8:e50279.
https://doi.org/10.7554/eLife.50279

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https://doi.org/10.7554/eLife.50279