PalaCell2D: A framework for detailed tissue morphogenesis

TL;DR

PalaCell2D is a comprehensive computational framework that models tissue morphogenesis by simulating detailed cell dynamics and chemical signaling, enabling realistic tissue growth and organization studies.

Contribution

It introduces a novel formalism combining cell membrane vertex dynamics with lattice Boltzmann chemical diffusion, validated through biologically relevant benchmarks.

Findings

Accurately models cell shapes and growth processes.

Simulates tissue morphogenesis under various conditions.

Demonstrates realistic cell migration and compression behaviors.

Abstract

In silico, cell based approaches for modeling biological morphogenesis are used to test and validate our understanding of the biological and mechanical process that are at work during the growth and the organization of multi-cell tissues. As compared to in vivo experiments, computer based frameworks dedicated to tissue modeling allow us to easily test different hypotheses, and to quantify the impact of various biophysically relevant parameters. Here, we propose a formalism based on a detailed, yet simple, description of cells that accounts for intra-, inter- and extra-cellular mechanisms. More precisely, the cell growth and division is described through the space and time evolution of the membrane vertices. These vertices follow a Newtonian dynamics, meaning that their evolution is controlled by different types of forces: a membrane force (spring and bending), an adherence force (inter cellular spring), external and internal pressure forces. In addition to the cells dynamics, our formalism further relies on a lattice Boltzmann method, using the Palabos library, to simulate the diffusion of chemical signals. The latter aims at driving the growth and migration of a tissue by simply changing the state of the cells. All of this leads to an accurate description of the growth and division of cells, with realistic cell shapes and where membranes can have different properties. While this work is of methodological nature, we also propose to validate our framework through simple, yet biologically relevant benchmark tests at both single-cell and full tissue scales. This includes free and chemically controlled cell tissue growth in an unbounded domain. The ability of our framework to simulate cell migration, cell compression and morphogenesis under external constraints is also investigated in a qualitative manner.