Theory of branching morphogenesis by local interactions and global guidance.
Autor: | Uçar MC; Institute of Science and Technology Austria, Am Campus 1, 3400, Klosterneuburg, Austria. mehmetcan.ucar@ist.ac.at., Kamenev D; Department of Neuroscience, Karolinska Institutet, 17177, Stockholm, Sweden., Sunadome K; Department of Physiology and Pharmacology, Karolinska Institutet, 17177, Stockholm, Sweden., Fachet D; Institute of Science and Technology Austria, Am Campus 1, 3400, Klosterneuburg, Austria.; IRI Life Sciences, Humboldt-Universität zu Berlin, 10115, Berlin, Germany., Lallemend F; Department of Neuroscience, Karolinska Institutet, 17177, Stockholm, Sweden.; Ming-Wai Lau Centre for Reparative Medicine, Stockholm node, Karolinska Institutet, Stockholm, Sweden., Adameyko I; Department of Physiology and Pharmacology, Karolinska Institutet, 17177, Stockholm, Sweden.; Department of Neuroimmunology, Center for Brain Research, Medical University of Vienna, 1090, Vienna, Austria., Hadjab S; Department of Neuroscience, Karolinska Institutet, 17177, Stockholm, Sweden. saida.hadjab@ki.se., Hannezo E; Institute of Science and Technology Austria, Am Campus 1, 3400, Klosterneuburg, Austria. edouard.hannezo@ist.ac.at. |
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Jazyk: | angličtina |
Zdroj: | Nature communications [Nat Commun] 2021 Nov 24; Vol. 12 (1), pp. 6830. Date of Electronic Publication: 2021 Nov 24. |
DOI: | 10.1038/s41467-021-27135-5 |
Abstrakt: | 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. (© 2021. The Author(s).) |
Databáze: | MEDLINE |
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