Modelling cell guidance and curvature control in evolving biological tissues

JOURNAL OF THEORETICAL BIOLOGY

卷:520

Article

Hegarty-Cremer, Solene G. D.¹  Simpson, Matthew J.¹  Andersen, Thomas L.^2,3,4  Buenzli, Pascal R.¹ 

[1] Queensland Univ Technol QUT, Sch Math Sci, Brisbane, Qld, Australia

[2] Odense Univ Hosp, Dept Pathol, Clin Cell Biol, Odense, Denmark

[3] Univ Southern Denmark, Dept Clin Res, Pathol Res Unit, Odense, Denmark

[4] Aarhus Univ, Dept Forens Med, Aarhus, Denmark

关键词: Tissue growth;    Bone remodelling;    Tissue engineering;    Surfactant;    Moving boundary problems;   

DOI  :  10.1016/j.jtbi.2021.110658

来源: Elsevier

【 摘 要 】

Tissue geometry is an important influence on the evolution of many biological tissues. The local curvature of an evolving tissue induces tissue crowding or spreading, which leads to differential tissue growth rates, and to changes in cellular tension, which can influence cell behaviour. Here, we investigate how directed cell motion interacts with curvature control in evolving biological tissues. Directed cell motion is involved in the generation of angled tissue growth and anisotropic tissue material properties, such as tissue fibre orientation. We develop a new cell-based mathematical model of tissue growth that includes both curvature control and cell guidance mechanisms to investigate their interplay. The model is based on conservation principles applied to the density of tissue synthesising cells at or near the tissue's moving boundary. The resulting mathematical model is a partial differential equation for cell density on a moving boundary, which is solved numerically using a hybrid front-tracking method called the cell-based particle method. The inclusion of directed cell motion allows us to model new types of biological growth, where tangential cell motion is important for the evolution of the interface, or for the generation of anisotropic tissue properties. We illustrate such situations by applying the model to simulate both the resorption and infilling components of the bone remodelling process, and to simulate root hair growth. We also provide user-friendly MATLAB code to implement the algorithms. (C) 2021 Elsevier Ltd. All rights reserved.

【 授权许可】

Free