Abstract

The mechanisms that regulate the patterning of branched epithelia remain a subject of long-standing debate. Recently, it has been proposed that the statistical organization of multiple ductal tissues can be explained through a local self-organizing principle based on the branching-annihilating random walk (BARW) in which proliferating tips drive a process of ductal elongation and stochastic bifurcation that terminates when tips encounter maturing ducts. Here, applied to mouse salivary gland, we show the BARW model struggles to explain the large-scale organization of tissue. Instead, we propose that the gland develops as a tip-driven branching-delayed random walk (BDRW). In this framework, a generalization of the BARW, tips inhibited through steric interaction with proximate ducts may continue their branching program as constraints become alleviated through the persistent expansion of the surrounding tissue. This inflationary BDRW model presents a general paradigm for branching morphogenesis when the ductal epithelium grows cooperatively with the domain into which it expands.

The authors show that the ramified ductal network of the mouse salivary gland develops from a set of simple probabilistic rules, where ductal elongation and branching are driven by the persistent expansion of the surrounding tissue.

Details

Title
Inflationary theory of branching morphogenesis in the mouse salivary gland
Author
Bordeu, Ignacio 1 ; Chatzeli, Lemonia 2 ; Simons, Benjamin D. 3   VIAFID ORCID Logo 

 University of Cambridge, Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934); University of Cambridge, Wellcome Trust/Cancer Research UK Gurdon Institute, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934); Universidad de Chile, Department of Physics, Facultad de Ciencias Físicas y Matemáticas, Santiago, Chile (GRID:grid.443909.3) (ISNI:0000 0004 0385 4466) 
 University of Cambridge, Wellcome Trust/Cancer Research UK Gurdon Institute, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934); University of Cambridge, Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934) 
 University of Cambridge, Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934); University of Cambridge, Wellcome Trust/Cancer Research UK Gurdon Institute, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934); University of Cambridge, Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934) 
Pages
3422
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2825544235
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.