Allosteric modulation in monomers and oligomers of a G protein-coupled receptor

  1. Rabindra V Shivnaraine  Is a corresponding author
  2. Brendan Kelly
  3. Krishana S Sankar
  4. Dar'ya S Redka
  5. Yi Rang Han
  6. Fei Huang
  7. Gwendolynne Elmslie
  8. Daniel Pinto
  9. Yuchong Li
  10. Jonathan V Rocheleau
  11. Claudiu C Gradinaru
  12. John Ellis
  13. James W Wells
  1. Stanford University School of Medicine, United States
  2. Stanford University, United States
  3. University of Toronto, Canada
  4. Hershey Medical Center, United States

Abstract

The M2 muscarinic receptor is the prototypic model of allostery in GPCRs, yet the molecular and the supramolecular determinants of such effects are unknown. Monomers and oligomers of the M2 muscarinic receptor therefore have been compared to identify those allosteric properties that are gained in oligomers. Allosteric interactions were monitored by means of a FRET-based sensor of conformation at the allosteric site and in pharmacological assays involving mutants engineered to preclude intramolecular effects. Electrostatic, steric, and conformational determinants of allostery at the atomic level were examined in molecular dynamics simulations. Allosteric effects in monomers were exclusively negative and derived primarily from intramolecular electrostatic repulsion between the allosteric and orthosteric ligands. Allosteric effects in oligomers could be positive or negative, depending upon the allosteric-orthosteric pair, and they arose from interactions within and between the constituent protomers. The complex behavior of oligomers is characteristic of muscarinic receptors in myocardial preparations.

Article and author information

Author details

  1. Rabindra V Shivnaraine

    Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, United States
    For correspondence
    rvshiv@stanford.edu
    Competing interests
    The authors declare that no competing interests exist.
  2. Brendan Kelly

    Department of Computer Science, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Krishana S Sankar

    Department of Physiology, University of Toronto, Toronto, Canada
    Competing interests
    The authors declare that no competing interests exist.
  4. Dar'ya S Redka

    Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Canada
    Competing interests
    The authors declare that no competing interests exist.
  5. Yi Rang Han

    Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Canada
    Competing interests
    The authors declare that no competing interests exist.
  6. Fei Huang

    Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Canada
    Competing interests
    The authors declare that no competing interests exist.
  7. Gwendolynne Elmslie

    Departments of Psychiatry and Pharmacology, Hershey Medical Center, Hershey, United States
    Competing interests
    The authors declare that no competing interests exist.
  8. Daniel Pinto

    Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Canada
    Competing interests
    The authors declare that no competing interests exist.
  9. Yuchong Li

    Department of Physics, University of Toronto, Toronto, Canada
    Competing interests
    The authors declare that no competing interests exist.
  10. Jonathan V Rocheleau

    Department of Physiology, University of Toronto, Toronto, Canada
    Competing interests
    The authors declare that no competing interests exist.
  11. Claudiu C Gradinaru

    Department of Physics, University of Toronto, Toronto, Canada
    Competing interests
    The authors declare that no competing interests exist.
  12. John Ellis

    Departments of Psychiatry and Pharmacology, Hershey Medical Center, Hershey, United States
    Competing interests
    The authors declare that no competing interests exist.
  13. James W Wells

    Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Canada
    Competing interests
    The authors declare that no competing interests exist.

Copyright

© 2016, Shivnaraine et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,397
    views
  • 600
    downloads
  • 21
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Rabindra V Shivnaraine
  2. Brendan Kelly
  3. Krishana S Sankar
  4. Dar'ya S Redka
  5. Yi Rang Han
  6. Fei Huang
  7. Gwendolynne Elmslie
  8. Daniel Pinto
  9. Yuchong Li
  10. Jonathan V Rocheleau
  11. Claudiu C Gradinaru
  12. John Ellis
  13. James W Wells
(2016)
Allosteric modulation in monomers and oligomers of a G protein-coupled receptor
eLife 5:e11685.
https://doi.org/10.7554/eLife.11685

Share this article

https://doi.org/10.7554/eLife.11685

Further reading

    1. Biochemistry and Chemical Biology
    2. Stem Cells and Regenerative Medicine
    Alejandro J Brenes, Eva Griesser ... Angus I Lamond
    Research Article

    Human induced pluripotent stem cells (hiPSCs) have great potential to be used as alternatives to embryonic stem cells (hESCs) in regenerative medicine and disease modelling. In this study, we characterise the proteomes of multiple hiPSC and hESC lines derived from independent donors and find that while they express a near-identical set of proteins, they show consistent quantitative differences in the abundance of a subset of proteins. hiPSCs have increased total protein content, while maintaining a comparable cell cycle profile to hESCs, with increased abundance of cytoplasmic and mitochondrial proteins required to sustain high growth rates, including nutrient transporters and metabolic proteins. Prominent changes detected in proteins involved in mitochondrial metabolism correlated with enhanced mitochondrial potential, shown using high-resolution respirometry. hiPSCs also produced higher levels of secreted proteins, including growth factors and proteins involved in the inhibition of the immune system. The data indicate that reprogramming of fibroblasts to hiPSCs produces important differences in cytoplasmic and mitochondrial proteins compared to hESCs, with consequences affecting growth and metabolism. This study improves our understanding of the molecular differences between hiPSCs and hESCs, with implications for potential risks and benefits for their use in future disease modelling and therapeutic applications.

    1. Biochemistry and Chemical Biology
    2. Structural Biology and Molecular Biophysics
    Jie Luo, Jeff Ranish
    Tools and Resources

    Dynamic conformational and structural changes in proteins and protein complexes play a central and ubiquitous role in the regulation of protein function, yet it is very challenging to study these changes, especially for large protein complexes, under physiological conditions. Here, we introduce a novel isobaric crosslinker, Qlinker, for studying conformational and structural changes in proteins and protein complexes using quantitative crosslinking mass spectrometry. Qlinkers are small and simple, amine-reactive molecules with an optimal extended distance of ~10 Å, which use MS2 reporter ions for relative quantification of Qlinker-modified peptides derived from different samples. We synthesized the 2-plex Q2linker and showed that the Q2linker can provide quantitative crosslinking data that pinpoints key conformational and structural changes in biosensors, binary and ternary complexes composed of the general transcription factors TBP, TFIIA, and TFIIB, and RNA polymerase II complexes.