Identification of a stereotypic molecular arrangement of endogenous glycine receptors at spinal cord synapses

  1. Stephanie Maynard
  2. Philippe Rostaing
  3. Natascha Schaefer
  4. Olivier Gemin
  5. Adrien Candat
  6. Andréa Dumoulin
  7. Carmen Villmann
  8. Antoine Triller
  9. Christian G Specht  Is a corresponding author
  1. Institut de Biologie de l'ENS (IBENS), PSL University, France
  2. University of Wuerzburg, Germany
  3. Inserm U1195, Université Paris-Saclay, France

Abstract

Precise quantitative information about the molecular architecture of synapses is essential to understanding the functional specificity and downstream signaling processes at specific populations of synapses. Glycine receptors (GlyRs) are the primary fast inhibitory neurotransmitter receptors in the spinal cord and brainstem. These inhibitory glycinergic networks crucially regulate motor and sensory processes. Thus far the nanoscale organization of GlyRs underlying the different network specificities has not been defined. Here, we have quantitatively characterized the molecular arrangement and ultra-structure of glycinergic synapses in spinal cord tissue using quantitative super-resolution correlative light and electron microscopy (SR-CLEM). We show that endogenous GlyRs exhibit equal receptor-scaffold occupancy and constant packing densities of about 2000 GlyRs µm-2 at synapses across the spinal cord and throughout adulthood, even though ventral horn synapses have twice the total copy numbers, larger postsynaptic domains and more convoluted morphologies than dorsal horn synapses. We demonstrate that this stereotypic molecular arrangement is maintained at glycinergic synapses in the oscillator mouse model of the neuromotor disease hyperekplexia despite a decrease in synapse size, indicating that the molecular organization of GlyRs is preserved in this hypomorph. We thus conclude that the morphology and size of inhibitory postsynaptic specializations rather than differences in GlyR packing determine the postsynaptic strength of glycinergic neurotransmission in motor and sensory spinal cord networks.

Data availability

Upon acceptance, all source data of this publication will be made available through a data repository.

Article and author information

Author details

  1. Stephanie Maynard

    Institut de Biologie de l'ENS (IBENS), PSL University, Paris, France
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7838-3676
  2. Philippe Rostaing

    Institut de Biologie de l'ENS (IBENS), PSL University, Paris, France
    Competing interests
    The authors declare that no competing interests exist.
  3. Natascha Schaefer

    Institute for Clinical Neurobiology, University of Wuerzburg, Wuerzburg, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9743-1963
  4. Olivier Gemin

    Institut de Biologie de l'ENS (IBENS), PSL University, Paris, France
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-3210-7876
  5. Adrien Candat

    Institut de Biologie de l'ENS (IBENS), PSL University, Paris, France
    Competing interests
    The authors declare that no competing interests exist.
  6. Andréa Dumoulin

    Institut de Biologie de l'ENS (IBENS), PSL University, Paris, France
    Competing interests
    The authors declare that no competing interests exist.
  7. Carmen Villmann

    Institute for Clinical Neurobiology, University of Wuerzburg, Wuerzburg, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1498-6950
  8. Antoine Triller

    Institut de Biologie de l'ENS (IBENS), PSL University, Paris, France
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7530-1233
  9. Christian G Specht

    Diseases and Hormones of the Nervous System (DHNS), Inserm U1195, Université Paris-Saclay, Paris, France
    For correspondence
    christian.specht@inserm.fr
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6038-7735

Funding

H2020 European Research Council (Plastinhib)

  • Antoine Triller

Agence Nationale de la Recherche (Synaptune)

  • Antoine Triller

Agence Nationale de la Recherche (Syntrack)

  • Antoine Triller

Labex (Memolife)

  • Antoine Triller

France Bio-Imaging

  • Antoine Triller

Deutsche Forschungsgemeinschaft (VI586)

  • Carmen Villmann

Fondation pour la Recherche Médicale (SPF201809007132)

  • Stephanie Maynard

Bavarian State Ministry of Science and the Arts and the University of Würzburg (Graduate School of Life Sciences (GSLS))

  • Natascha Schaefer

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Animal experimentation: All experiments were in accordance with European Union guidelines and approved by the local veterinary authorities. Animals at IBENS were treated in accordance with the guidelines of the French Ministry of Agriculture and Direction Départementale des Services Vétérinaires de Paris (École Normale Supérieure, Animalerie des Rongeurs, license B 75-05-20). Procedures carried out at the Institute for Clinical Neurobiology were approved by the Veterinäramt der Stadt Würzburg and the Committee on the Ethics of Animal Experiments (Regierung von Unterfranken, Würzburg) and authorized under reference numbers 55.2-2531.01-09/14; 55.2.2-2532.2-949-31.

Copyright

© 2021, Maynard 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

  • 1,324
    views
  • 191
    downloads
  • 17
    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. Stephanie Maynard
  2. Philippe Rostaing
  3. Natascha Schaefer
  4. Olivier Gemin
  5. Adrien Candat
  6. Andréa Dumoulin
  7. Carmen Villmann
  8. Antoine Triller
  9. Christian G Specht
(2021)
Identification of a stereotypic molecular arrangement of endogenous glycine receptors at spinal cord synapses
eLife 10:e74441.
https://doi.org/10.7554/eLife.74441

Share this article

https://doi.org/10.7554/eLife.74441

Further reading

    1. Neuroscience
    Victoria JH Ritvo, Alex Nguyen ... Kenneth A Norman
    Research Article

    What determines when neural representations of memories move together (integrate) or apart (differentiate)? Classic supervised learning models posit that, when two stimuli predict similar outcomes, their representations should integrate. However, these models have recently been challenged by studies showing that pairing two stimuli with a shared associate can sometimes cause differentiation, depending on the parameters of the study and the brain region being examined. Here, we provide a purely unsupervised neural network model that can explain these and other related findings. The model can exhibit integration or differentiation depending on the amount of activity allowed to spread to competitors — inactive memories are not modified, connections to moderately active competitors are weakened (leading to differentiation), and connections to highly active competitors are strengthened (leading to integration). The model also makes several novel predictions — most importantly, that when differentiation occurs as a result of this unsupervised learning mechanism, it will be rapid and asymmetric, and it will give rise to anticorrelated representations in the region of the brain that is the source of the differentiation. Overall, these modeling results provide a computational explanation for a diverse set of seemingly contradictory empirical findings in the memory literature, as well as new insights into the dynamics at play during learning.

    1. Neuroscience
    Marine Schimel, Ta-Chu Kao, Guillaume Hennequin
    Research Article

    During delayed ballistic reaches, motor areas consistently display movement-specific activity patterns prior to movement onset. It is unclear why these patterns arise: while they have been proposed to seed an initial neural state from which the movement unfolds, recent experiments have uncovered the presence and necessity of ongoing inputs during movement, which may lessen the need for careful initialization. Here, we modeled the motor cortex as an input-driven dynamical system, and we asked what the optimal way to control this system to perform fast delayed reaches is. We find that delay-period inputs consistently arise in an optimally controlled model of M1. By studying a variety of network architectures, we could dissect and predict the situations in which it is beneficial for a network to prepare. Finally, we show that optimal input-driven control of neural dynamics gives rise to multiple phases of preparation during reach sequences, providing a novel explanation for experimentally observed features of monkey M1 activity in double reaching.