Published August 20, 2023 | Version v1

Supplementary material for How a reaction-diffusion signal can control spinal cord regeneration in axolotls: A modelling study

  • 1. Inria Paris, team MAMBA, Sorbonne Université, CNRS, Université de Paris, Laboratoire Jacques-Louis Lions UMR7598, F-75005 Paris
  • 2. School of Biosciences, University of Nottingham, Sutton Bonington Campus, Nottingham LE12 5RD, UK, Instituto de Tecnología, Universidad Argentina de la Empresa, Buenos Aires C1073AAO, Argentina

Description

Axolotls are uniquely able to completely regenerate the spinal cord after amputation. The underlying governing mechanisms of this regenerative response have not yet been fully elucidated. We previously found that spinal cord regeneration is mainly driven by cell cycle acceleration of ependymal cells, recruited by a hypothetical signal propagating from the injury. However, the nature of the signal and its propagation remain unknown. In this theoretical study, we investigated whether the regeneration-inducing signal can follow a reaction-diffusion process. We developed a computational model, validated it with experimental data and showed that the signal dynamics can be understood in terms of reaction-diffusion mechanism. By developing a theory of the regenerating outgrowth in the limit of fast reaction-diffusion, we demonstrate that control of regenerative response solely relies on cell-to-signal sensitivity and the signal reaction-diffusion characteristic length. This study lays foundations for further identification of the signal controlling regeneration of the spinal cord.

Notes

Diane Peurichard was supported by Sorbonne Alliance University with an Emergence project MATHREGEN, grant no. S29-05Z101. Osvaldo Chara was funded by grants PICT-2017-2307 and PICT-2019- 03828) from the Agencia Nacional de Promoción Científica y Tecnológica of Argentina.

Files

Computational model.zip

Files (100.8 kB)

Name Size Download all
md5:8ee5fd9ffa31fed2ab6fe2a9df59f5e8
14.8 kB Preview Download
md5:a3b5e0047442989332caf5ba1b43996d
12.8 kB Preview Download
md5:56926ec01687d4feb5f4a3c669714252
72.8 kB Preview Download
md5:ce4296878454aea30c89a0f5c90b930d
358 Bytes Preview Download

Additional details

Funding

Agence Nationale de la Recherche
ENERGENCE - ENERgy driven modelling of tissue architecture emerGENCE and homeorhesis ANR-22-CE45-0024