Fiber crosslinking drives the emergence of order in a 3D dynamical network model
Pauline Chassonnery, Jenny Paupert, Anne Lorsignol, Child\'erick, S\'ev\'erac, Marielle Ousset, Pierre Degond, Louis Casteilla, Diane, Peurichard

TL;DR
This study uses a 3D fiber network model to show how crosslinking drives the formation of ordered structures in the extracellular matrix, providing insights into tissue architecture and potential therapeutic targets.
Contribution
It introduces a novel 3D individual-based model demonstrating that fiber crosslinking alone can explain the emergence of tissue-like structures.
Findings
Ordered structures emerge from crosslinking dynamics.
The proportion of crosslinks predicts network architecture.
The process is spatially homogeneous and follows a single evolutionary path.
Abstract
The Extra-Cellular-Matrix (ECM) is a complex interconnected 3D network that provides structural support for the cells and tissues and defines organ architecture key for their healthy functioning. However, the intimate mechanisms by which ECM acquire their 3D architecture are still largely unknown. In this paper, we address this question by means of a 3D individual based model of interacting fibers able to spontaneously crosslink or unlink to each other and align at the crosslinks. We show that such systems are able to spontaneously generate different types of architectures. We provide a thorough analysis of the emerging structures by an exhaustive parametric analysis and the use of appropriate visualization tools and quantifiers in 3D. The most striking result is that the emergence of ordered structures can be fully explained by a single emerging variable : the proportion of crosslinks…
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Complex Network Analysis Techniques · Cellular Automata and Applications
