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Two opposite voltage-dependent currents control the unusual early development pattern of embryonic Renshaw cell electrical activity
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Boeri, Juliette, Meunier, Claude, Le Corronc, Hervé, Branchereau, Pascal, Timofeeva, Yulia, Lejeune, François-Xavier, Mouffle, Christine, Arulkandarajah, Hervé, Mangin, Jean Marie, Legendre, Pascal and Czarnecki, Antonny (2021) Two opposite voltage-dependent currents control the unusual early development pattern of embryonic Renshaw cell electrical activity. eLife, 10 . e62639. doi:10.7554/elife.62639 ISSN 2050-084X.
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Official URL: https://doi.org/10.7554/elife.62639
Abstract
Renshaw cells (V1R) are excitable as soon as they reach their final location next to the spinal motoneurons and are functionally heterogeneous. Using multiple experimental approaches, in combination with biophysical modeling and dynamical systems theory, we analyzed, for the first time, the mechanisms underlying the electrophysiological properties of V1R during early embryonic development of the mouse spinal cord locomotor networks (E11.5–E16.5). We found that these interneurons are subdivided into several functional clusters from E11.5 and then display an unexpected transitory involution process during which they lose their ability to sustain tonic firing. We demonstrated that the essential factor controlling the diversity of the discharge pattern of embryonic V1R is the ratio of a persistent sodium conductance to a delayed rectifier potassium conductance. Taken together, our results reveal how a simple mechanism, based on the synergy of two voltage-dependent conductances that are ubiquitous in neurons, can produce functional diversity in embryonic V1R and control their early developmental trajectory.
Item Type: | Journal Article | ||||||
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Subjects: | Q Science > QP Physiology | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Research Centres > Centre for Complexity Science Faculty of Science, Engineering and Medicine > Science > Computer Science |
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SWORD Depositor: | Library Publications Router | ||||||
Library of Congress Subject Headings (LCSH): | Interneurons , Interneurons -- Electric properties, Neural networks (Neurobiology), Neural networks (Neurobiology) -- Computer simulation | ||||||
Journal or Publication Title: | eLife | ||||||
Publisher: | eLife Sciences Publications, Ltd | ||||||
ISSN: | 2050-084X | ||||||
Official Date: | 26 April 2021 | ||||||
Dates: |
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Volume: | 10 | ||||||
Article Number: | e62639 | ||||||
DOI: | 10.7554/elife.62639 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 8 June 2021 | ||||||
Date of first compliant Open Access: | 9 June 2021 | ||||||
RIOXX Funder/Project Grant: |
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