A Unifying Theory of Branching Morphogenesis

被引:135
作者
Hannezo, Edouard [1 ,2 ,3 ,9 ]
Scheele, Colinda L. G. J. [4 ,5 ]
Moad, Mohammad [6 ]
Drogo, Nicholas [7 ]
Heer, Rakesh [6 ]
Sampogna, Rosemary V. [8 ]
van Rheenen, Jacco [4 ,5 ]
Simons, Benjamin D. [1 ,2 ,3 ]
机构
[1] Univ Cambridge, Cavendish Lab, Dept Phys, Cambridge CB3 0HE, England
[2] Univ Cambridge, Wellcome Trust, Canc Res UK Gurdon Inst, Cambridge CB2 1QN, England
[3] Univ Cambridge, Wellcome Trust, Med Res Council, Stem Cell Inst, Cambridge CB2 1QN, England
[4] Hubrecht Inst KNAW, Canc Genom Netherlands, NL-3584 CT Utrecht, Netherlands
[5] Univ Med Ctr Utrecht, NL-3584 CT Utrecht, Netherlands
[6] Newcastle Univ, Northern Inst Canc Res, Newcastle Upon Tyne NE2 4AD, Tyne & Wear, England
[7] Univ Rochester, Dept Biomed Engn, Rochester, NY 14627 USA
[8] Columbia Univ, Div Nephrol, Dept Med, Coll Phys & Surg, New York, NY 10032 USA
[9] IST Austria, A-3400 Klosterneuburg, Austria
基金
英国惠康基金; 欧洲研究理事会;
关键词
GIANT NUMBER FLUCTUATIONS; STEM-CELLS; MAMMARY; MECHANISM; DYNAMICS;
D O I
10.1016/j.cell.2017.08.026
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The morphogenesis of branched organs remains a subject of abiding interest. Although much is known about the underlying signaling pathways, it remains unclear how macroscopic features of branched organs, including their size, network topology, and spatial patterning, are encoded. Here, we show that, in mouse mammary gland, kidney, and human prostate, these features can be explained quantitatively within a single unifying framework of branching and annihilating random walks. Based on quantitative analyses of large-scale organ reconstructions and proliferation kinetics measurements, we propose that morphogenesis follows from the proliferative activity of equipotent tips that stochastically branch and randomly explore their environment but compete neutrally for space, becoming proliferatively inactive when in proximity with neighboring ducts. These results show that complex branched epithelial structures develop as a selforganized process, reliant upon a strikingly simple but generic rule, without recourse to a rigid and deterministic sequence of genetically programmed events.
引用
收藏
页码:242 / +
页数:41
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