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Neuroepithelial organoid patterning is mediated by Wnt-driven Turing mechanism
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Abstract
Cell patterning in epithelia is critical for the establishment of tissue function during development. The organization of patterns in these tissues is mediated by the interpretation of signals operating across multiple length scales. How epithelial tissues coordinate changes in cell identity across these length scales to orchestrate cellular rearrangements and fate specification remains poorly understood. Here, we use human neural tube organoids as model systems to interrogate epithelial patterning principles that guide domain specification.
In silico
modeling of the patterning process by cellular automata, validated by
in vitro
experiments, reveal that the initial positions of floor plate cells, coupled with activator-inhibitor signaling interactions, deterministically dictate the patterning outcome according to a discretized Turing reaction-diffusion mechanism. This model predicts an enhancement of organoid patterning by modulating inhibitor levels. Receptor-ligand interaction analysis of scRNAseq data from multiple organoid domains reveals WNT-pathway ligands as the specific inhibitory agents, thereby allowing for the experimental validation of model predictions. These results demonstrate that neuroepithelia employ reaction-diffusion-based mechanisms during early embryonic human development to organize cellular identities and morphogen sources to achieve patterning. The wider implementation of such
in vitro
organoid models in combination with
in-silico
agent-based modeling coupled to receptor-ligand analysis of scRNAseq data opens avenues for a broader understanding of dynamic tissue patterning processes.
Title: Neuroepithelial organoid patterning is mediated by Wnt-driven Turing mechanism
Description:
Abstract
Cell patterning in epithelia is critical for the establishment of tissue function during development.
The organization of patterns in these tissues is mediated by the interpretation of signals operating across multiple length scales.
How epithelial tissues coordinate changes in cell identity across these length scales to orchestrate cellular rearrangements and fate specification remains poorly understood.
Here, we use human neural tube organoids as model systems to interrogate epithelial patterning principles that guide domain specification.
In silico
modeling of the patterning process by cellular automata, validated by
in vitro
experiments, reveal that the initial positions of floor plate cells, coupled with activator-inhibitor signaling interactions, deterministically dictate the patterning outcome according to a discretized Turing reaction-diffusion mechanism.
This model predicts an enhancement of organoid patterning by modulating inhibitor levels.
Receptor-ligand interaction analysis of scRNAseq data from multiple organoid domains reveals WNT-pathway ligands as the specific inhibitory agents, thereby allowing for the experimental validation of model predictions.
These results demonstrate that neuroepithelia employ reaction-diffusion-based mechanisms during early embryonic human development to organize cellular identities and morphogen sources to achieve patterning.
The wider implementation of such
in vitro
organoid models in combination with
in-silico
agent-based modeling coupled to receptor-ligand analysis of scRNAseq data opens avenues for a broader understanding of dynamic tissue patterning processes.
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