DOI: 10.1101/470559Nov 14, 2018Paper

Quantifying the mechanics and growth of cells and tissues in 3D using high resolution computational models.

BioRxiv : the Preprint Server for Biology
Paul Van LiedekerkeDirk Drasdo

Abstract

Mathematical models are increasingly designed to guide experiments in biology, biotechnology, as well as to assist in medical decision making. They are in particular important to understand emergent collective cell behavior. For this purpose, the models, despite still abstractions of reality, need to be quantitative in all aspects relevant for the question of interest. The focus in this paper is to study the regeneration of liver after drug-induced depletion of hepatocytes, in which surviving dividing and migrating hepatocytes must squeeze through a blood vessel network to fill the emerged lesions. Here, the cells' response to mechanical stress might significantly impact on the regeneration process. We present a 3D high-resolution cell-based model integrating information from measurements in order to obtain a refined quantitative understanding of the cell-biomechanical impact on the closure of drug-induced lesions in liver. Our model represents each cell individually, constructed as a physically scalable network of viscoelastic elements, capable of mimicking realistic cell deformation and supplying information at subcellular scales. The cells have the capability to migrate, grow and divide, and infer the nature of their mechani...Continue Reading

Related Concepts

Biotechnology
Blood Vessel
Collagen
Decision Making
Environment
Exertion
Liver
Natural Regeneration
Reparative Closure
Hepatocyte

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