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Signaling gradients in surface dynamics as basis for regeneration in flatworms

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Post-edited
Authors : Stevens, Angela (Author of the conference)
CIRM (Publisher )

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planarian regeneration: biology planarian regeneration: mathematical model dynamic boundary conditions simulations of the model reduction of the model planarian body regions, front propagation simulation of reduced model analysis of reduced model

Abstract : We introduce and analyze a mathematical model for the regeneration of planarian flatworms. This system of differential equations incorporates dynamics of head and tail cells which express positional control genes that in turn translate into localized signals that guide stem cell differentiation. Orientation and positional information is encoded in the dynamics of a long range wnt-related signaling gradient.
We motivate our model in relation to experimental data and demonstrate how it correctly reproduces cut and graft experiments. In particular, our system improves on previous models by preserving polarity in regeneration, over orders of magnitude in body size during cutting experiments and growth phases. Our model relies on tristability in cell density dynamics, between head, trunk, and tail. In addition, key to polarity preservation in regeneration, our system includes sensitivity of cell differentiation to gradients of wnt-related signals measured relative to the tissue surface. This process is particularly relevant in a small tissue layer close to wounds during their healing, and modeled here in a robust fashion through dynamic boundary conditions.

Keywords : planaria and regeneration; dynamic boundary conditions; wnt-signal; PDE; math biology

MSC Codes :
35K40 - Second-order parabolic systems
37N25 - Dynamical systems in biology
92C15 - Developmental biology, pattern formation
35B36 - Pattern formation in solutions of PDE
35Q92 - PDEs in connection with biology and other natural sciences

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 17/03/2020
    Conference Date : 24/02/2020
    Subseries : Research talks
    arXiv category : Quantitative Biology ; Analysis of PDEs ; Dynamical Systems
    Mathematical Area(s) : PDE ; Dynamical Systems & ODE ; Analysis and its Applications
    Format : MP4 (.mp4) - HD
    Video Time : 00:44:26
    Targeted Audience : Researchers
    Download : https://videos.cirm-math.fr/2020-02-24_Stevens.mp4

Information on the Event

Event Title : Thematic Month Week 4: Mathematics of Complex Systems in Biology and Medicine / Mois thématique Semaine 4 : Mathématiques des systèmes complexes en biologie et en médecine
Event Organizers : Cristofol, Michel ; Freyermuth, Jean-Marc ; Gomez, Christophe ; Hubert, Florence ; Ryan, Shawn ; Tournus, Magali
Dates : 24/02/2020 - 28/02/2020
Event Year : 2020
Event URL : https://conferences.cirm-math.fr/2304.html

Citation Data

DOI : 10.24350/CIRM.V.19616703
Cite this video as: Stevens, Angela (2020). Signaling gradients in surface dynamics as basis for regeneration in flatworms. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19616703
URI : http://dx.doi.org/10.24350/CIRM.V.19616703

See Also

Bibliography

  • SCHEEL, Arnd, STEVENS, Angela, et TENBROCK, Christoph. Signaling gradients in surface dynamics as basis for planarian regeneration. arXiv preprint arXiv:1908.04253, 2019. - http://dx.doi.org/10.1101/733246



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