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Theory of branching morphogenesis by local interactions and global guidance.


ABSTRACT: Branching morphogenesis governs the formation of many organs such as lung, kidney, and the neurovascular system. Many studies have explored system-specific molecular and cellular regulatory mechanisms, as well as self-organizing rules underlying branching morphogenesis. However, in addition to local cues, branched tissue growth can also be influenced by global guidance. Here, we develop a theoretical framework for a stochastic self-organized branching process in the presence of external cues. Combining analytical theory with numerical simulations, we predict differential signatures of global vs. local regulatory mechanisms on the branching pattern, such as angle distributions, domain size, and space-filling efficiency. We find that branch alignment follows a generic scaling law determined by the strength of global guidance, while local interactions influence the tissue density but not its overall territory. Finally, using zebrafish innervation as a model system, we test these key features of the model experimentally. Our work thus provides quantitative predictions to disentangle the role of different types of cues in shaping branched structures across scales.

SUBMITTER: Ucar MC 

PROVIDER: S-EPMC8613190 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature

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Theory of branching morphogenesis by local interactions and global guidance.

Uçar Mehmet Can MC   Kamenev Dmitrii D   Sunadome Kazunori K   Fachet Dominik D   Lallemend Francois F   Adameyko Igor I   Hadjab Saida S   Hannezo Edouard E  

Nature communications 20211124 1


Branching morphogenesis governs the formation of many organs such as lung, kidney, and the neurovascular system. Many studies have explored system-specific molecular and cellular regulatory mechanisms, as well as self-organizing rules underlying branching morphogenesis. However, in addition to local cues, branched tissue growth can also be influenced by global guidance. Here, we develop a theoretical framework for a stochastic self-organized branching process in the presence of external cues. Co  ...[more]

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