C-terminal threonines and serines play distinct roles in the desensitization of rhodopsin, a G protein-coupled receptor

  1. Anthony W Azevedo
  2. Thuy Doan
  3. Hormoz Moaven
  4. Iza Sokal
  5. Faiza Baameur
  6. Sergey A Vishnivetskiy
  7. Kristoff T Homan
  8. John J G Tesmer
  9. Vsevolod V Gurevich
  10. Jeannie Chen
  11. Fred Rieke  Is a corresponding author
  1. University of Washington, United States
  2. Keck School of Medicine of University of Southern California, United States
  3. Vanderbilt University School of Medicine, United States
  4. University of Michigan, United States

Abstract

Rod photoreceptors generate measurable responses to single-photon activation of individual molecules of the G-protein-coupled receptor, rhodopsin. Timely rhodopsin desensitization depends on phosphorylation and arrestin binding, which quenches G-protein activation. Rhodopsin phosphorylation has been measured biochemically at C-terminal serine residues, suggesting that these residues are critical for producing fast, low noise responses. The role of native threonine residues is unclear. We compared single-photon responses from rhodopsin lacking native serine or threonine phosphorylation sites. Contrary to expectation, serine-only rhodopsin generated prolonged step-like single-photon responses that terminated abruptly and randomly, whereas threonine-only rhodopsin generated responses that were only modestly slower than normal. We show that the step-like responses of serine-only rhodopsin reflect slow and stochastic arrestin binding. Thus, threonine sites play a privileged role in promoting timely arrestin binding and rhodopsin desensitization. Similar coordination of phosphorylation and arrestin binding may more generally permit tight control of the duration of G-protein-coupled receptor activity.

Article and author information

Author details

  1. Anthony W Azevedo

    Department of Physiology and Biophysics, University of Washington, Seattle, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Thuy Doan

    Department of Ophthalmology, University of Washington, Seattle, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Hormoz Moaven

    Departments of Cell & Neurobiology and Ophthalmology, Zilkha Neurogenetic Institute, Keck School of Medicine of University of Southern California, Los Angeles, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Iza Sokal

    Department of Physiology and Biophysics, University of Washington, Seattle, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Faiza Baameur

    Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Sergey A Vishnivetskiy

    Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Kristoff T Homan

    Life Sciences Institute, Departments of Pharmacology and Biological Chemistry, University of Michigan, Ann Arbor, United States
    Competing interests
    The authors declare that no competing interests exist.
  8. John J G Tesmer

    Life Sciences Institute, Departments of Pharmacology and Biological Chemistry, University of Michigan, Ann Arbor, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Vsevolod V Gurevich

    Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, United States
    Competing interests
    The authors declare that no competing interests exist.
  10. Jeannie Chen

    Departments of Cell & Neurobiology and Ophthalmology, Zilkha Neurogenetic Institute, Keck School of Medicine of University of Southern California, Los Angeles, United States
    Competing interests
    The authors declare that no competing interests exist.
  11. Fred Rieke

    Department of Physiology and Biophysics, University of Washington, Seattle, United States
    For correspondence
    rieke@u.washington.edu
    Competing interests
    The authors declare that no competing interests exist.

Ethics

Animal experimentation: This work was performed in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. All procedures followed protocols approved by the Institutional Animal Care and Use Committee (protocol 3030-01) of the University of Washington.

Copyright

© 2015, Azevedo 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

  • 1,902
    views
  • 482
    downloads
  • 34
    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. Anthony W Azevedo
  2. Thuy Doan
  3. Hormoz Moaven
  4. Iza Sokal
  5. Faiza Baameur
  6. Sergey A Vishnivetskiy
  7. Kristoff T Homan
  8. John J G Tesmer
  9. Vsevolod V Gurevich
  10. Jeannie Chen
  11. Fred Rieke
(2015)
C-terminal threonines and serines play distinct roles in the desensitization of rhodopsin, a G protein-coupled receptor
eLife 4:e05981.
https://doi.org/10.7554/eLife.05981

Share this article

https://doi.org/10.7554/eLife.05981

Further reading

    1. Biochemistry and Chemical Biology
    2. Structural Biology and Molecular Biophysics
    Raji E Joseph, Thomas E Wales ... Amy H Andreotti
    Research Advance

    Inhibition of Bruton’s tyrosine kinase (BTK) has proven to be highly effective in the treatment of B-cell malignancies such as chronic lymphocytic leukemia (CLL), autoimmune disorders, and multiple sclerosis. Since the approval of the first BTK inhibitor (BTKi), Ibrutinib, several other inhibitors including Acalabrutinib, Zanubrutinib, Tirabrutinib, and Pirtobrutinib have been clinically approved. All are covalent active site inhibitors, with the exception of the reversible active site inhibitor Pirtobrutinib. The large number of available inhibitors for the BTK target creates challenges in choosing the most appropriate BTKi for treatment. Side-by-side comparisons in CLL have shown that different inhibitors may differ in their treatment efficacy. Moreover, the nature of the resistance mutations that arise in patients appears to depend on the specific BTKi administered. We have previously shown that Ibrutinib binding to the kinase active site causes unanticipated long-range effects on the global conformation of BTK (Joseph et al., 2020). Here, we show that binding of each of the five approved BTKi to the kinase active site brings about distinct allosteric changes that alter the conformational equilibrium of full-length BTK. Additionally, we provide an explanation for the resistance mutation bias observed in CLL patients treated with different BTKi and characterize the mechanism of action of two common resistance mutations: BTK T474I and L528W.

    1. Structural Biology and Molecular Biophysics
    Mart GF Last, Leoni Abendstein ... Thomas H Sharp
    Tools and Resources

    Segmentation is a critical data processing step in many applications of cryo-electron tomography. Downstream analyses, such as subtomogram averaging, are often based on segmentation results, and are thus critically dependent on the availability of open-source software for accurate as well as high-throughput tomogram segmentation. There is a need for more user-friendly, flexible, and comprehensive segmentation software that offers an insightful overview of all steps involved in preparing automated segmentations. Here, we present Ais: a dedicated tomogram segmentation package that is geared towards both high performance and accessibility, available on GitHub. In this report, we demonstrate two common processing steps that can be greatly accelerated with Ais: particle picking for subtomogram averaging, and generating many-feature segmentations of cellular architecture based on in situ tomography data. Featuring comprehensive annotation, segmentation, and rendering functionality, as well as an open repository for trained models at aiscryoet.org, we hope that Ais will help accelerate research and dissemination of data involving cryoET.