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On the distribution of spinal premotor interneurons

View ORCID ProfileRemi Ronzano, View ORCID ProfileSophie Skarlatou, View ORCID ProfileB. Anne Bannatyne, View ORCID ProfileGardave S. Bhumbra, View ORCID ProfileJoshua D. Foster, View ORCID ProfileCamille Lancelin, View ORCID ProfileAmanda Pocratsky, Mustafa Görkem Özyurt, View ORCID ProfileCalvin C. Smith, View ORCID ProfileAndrew J. Todd, David J. Maxwell, Andrew J. Murray, View ORCID ProfileRobert M. Brownstone, View ORCID ProfileNiccolò Zampieri, View ORCID ProfileMarco Beato
doi: https://doi.org/10.1101/2021.02.10.430608
Remi Ronzano
1Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
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  • ORCID record for Remi Ronzano
Sophie Skarlatou
2Max Delbrück Center for Molecular Medicine (MDC), Robert-Rössle-Str. 10, 13092 Berlin, Germany
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  • ORCID record for Sophie Skarlatou
B. Anne Bannatyne
3Institute of Neuroscience and Psychology, College of Medical, Veterinary and Life Sciences, University of Glasgow, West Medical Building, Glasgow G12 8QQ, UK
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Gardave S. Bhumbra
4Department of Neuroscience Physiology and Pharmacology (NPP), Gower Street, University College London, WC1E 6BT, UK
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Joshua D. Foster
4Department of Neuroscience Physiology and Pharmacology (NPP), Gower Street, University College London, WC1E 6BT, UK
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Camille Lancelin
1Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
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Amanda Pocratsky
1Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
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Mustafa Görkem Özyurt
1Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
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Calvin C. Smith
1Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
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Andrew J. Todd
3Institute of Neuroscience and Psychology, College of Medical, Veterinary and Life Sciences, University of Glasgow, West Medical Building, Glasgow G12 8QQ, UK
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David J. Maxwell
3Institute of Neuroscience and Psychology, College of Medical, Veterinary and Life Sciences, University of Glasgow, West Medical Building, Glasgow G12 8QQ, UK
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Andrew J. Murray
5Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London W1T 4JG, UK
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Robert M. Brownstone
1Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
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  • For correspondence: niccolo.zampieri@mdc-berlin.de r.brownstone@ucl.ac.uk m.beato@ucl.ac.uk
Niccolò Zampieri
2Max Delbrück Center for Molecular Medicine (MDC), Robert-Rössle-Str. 10, 13092 Berlin, Germany
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  • For correspondence: niccolo.zampieri@mdc-berlin.de r.brownstone@ucl.ac.uk m.beato@ucl.ac.uk
Marco Beato
3Institute of Neuroscience and Psychology, College of Medical, Veterinary and Life Sciences, University of Glasgow, West Medical Building, Glasgow G12 8QQ, UK
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  • For correspondence: niccolo.zampieri@mdc-berlin.de r.brownstone@ucl.ac.uk m.beato@ucl.ac.uk
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Abstract

The activity of flexor and extensor motor neurons is tightly regulated by a network of interneurons in the spinal cord. The introduction of rabies retrograde monosynaptic tracing has provided a powerful method to map interneurons directly connected to motor neurons so as to visualize premotor circuits. Previous strategies have used AAV for complementing rabies glycoprotein expression in motor neurons to obtain selectivity in transsynaptic transfer to identify premotor interneurons innervating specific motor neuron pools These studies revealed differences in the location of flexor and extensor premotor interneurons. Here, we report that by using a genetic approach to complement rabies glycoprotein expression in motor neurons, we did not observe any differences in the distribution of flexor and extensor premotor interneurons. In order to identify possible causes for these paradoxical findings, we discuss advantages and caveats of the experimental designs and suggest ways forward to resolve possible ambiguities. Furthermore, to obtain a complete picture of existing approaches and results we ask for contributions from the scientific community describing the use of additional mouse models, viral constructs, and complementation methods. The aim is to generate an open, comprehensive database to understand the specific organisation of premotor circuits.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵§ co-senior authors

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 11, 2021.
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On the distribution of spinal premotor interneurons
Remi Ronzano, Sophie Skarlatou, B. Anne Bannatyne, Gardave S. Bhumbra, Joshua D. Foster, Camille Lancelin, Amanda Pocratsky, Mustafa Görkem Özyurt, Calvin C. Smith, Andrew J. Todd, David J. Maxwell, Andrew J. Murray, Robert M. Brownstone, Niccolò Zampieri, Marco Beato
bioRxiv 2021.02.10.430608; doi: https://doi.org/10.1101/2021.02.10.430608
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On the distribution of spinal premotor interneurons
Remi Ronzano, Sophie Skarlatou, B. Anne Bannatyne, Gardave S. Bhumbra, Joshua D. Foster, Camille Lancelin, Amanda Pocratsky, Mustafa Görkem Özyurt, Calvin C. Smith, Andrew J. Todd, David J. Maxwell, Andrew J. Murray, Robert M. Brownstone, Niccolò Zampieri, Marco Beato
bioRxiv 2021.02.10.430608; doi: https://doi.org/10.1101/2021.02.10.430608

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