Theory of branching morphogenesis by local interactions and global guidance

被引:16
作者
Ucar, Mehmet Can [1 ]
Kamenev, Dmitrii [2 ]
Sunadome, Kazunori [3 ]
Fachet, Dominik [1 ,6 ]
Lallemend, Francois [2 ,4 ]
Adameyko, Igor [3 ,5 ]
Hadjab, Saida [2 ]
Hannezo, Edouard [1 ]
机构
[1] IST Austria, Campus 1, A-3400 Klosterneuburg, Austria
[2] Karolinska Inst, Dept Neurosci, S-17177 Stockholm, Sweden
[3] Karolinska Inst, Dept Physiol & Pharmacol, S-17177 Stockholm, Sweden
[4] Karolinska Inst, Stockholm Node, Ming Wai Lau Ctr Reparat Med, Stockholm, Sweden
[5] Med Univ Vienna, Ctr Brain Res, Dept Neuroimmunol, A-1090 Vienna, Austria
[6] Humboldt Univ, IRI Life Sci, D-10115 Berlin, Germany
基金
欧盟地平线“2020”; 奥地利科学基金会; 瑞典研究理事会;
关键词
DYNAMICS; LUNG; MECHANISMS; PRINCIPLES; GROWTH; RULES; CELL;
D O I
10.1038/s41467-021-27135-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Many organs and cells have complex tree-like morphologies, but how these patterns emerge during development from global guidance cues and local self-organization remains unclear. Here, the authors develop a theory for the influence of both factors and test it on neuronal branching data. 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.
引用
收藏
页数:10
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