Computational Modeling of Cell Morphogenesis

Computational modelling of cell morphogenesis encompasses a diverse set of mathematical and simulation frameworks aimed at understanding how individual cells and tissues acquire their shapes and structures during development, regeneration and disease. These approaches range from continuum descriptions of tissue mechanics to discrete representations of cells as polygons, vertices or subcellular elements. By integrating mechanical forces, chemical signalling and genetic regulation, models can predict how patterns of contractility, adhesion and proliferation drive tissue curvature, elongation and branching. Multiscale strategies link molecular-scale processes such as cytoskeletal remodelling or morphogen gradients with cellular behaviours like migration, division and differentiation, enabling in silico exploration of organogenesis, wound healing and engineered tissues. Advances in algorithm design and computational power now permit large-scale three-dimensional simulations with subcellular resolution, offering quantitative insight into the balance between forces and biochemical cues that govern morphogenetic outcomes. These tools have become indispensable for hypothesis testing, guiding experiments and informing tissue engineering applications.

Research from Nature Portfolio

Recent studies have combined high-resolution imaging and mechanistic modelling to reveal how local curvature and nuclear positioning in epithelial tissues emerge from patterned actomyosin contractility, cell–extracellular matrix adhesion and extracellular matrix stiffness. Distinct growth pathways were shown to bias tissue shape via differential regulation of cytoskeletal tension and adhesion, illustrating a general strategy for context-dependent morphogenesis. An open-source simulation platform has been introduced that efficiently handles large three-dimensional tissues with subcellular detail, including proliferation, extracellular matrices and fluid cavities. This framework uncovered that epithelial packing geometries are governed by competition between surface tension and intercellular adhesion across diverse tissue architectures. A foundational integrative platform has further enabled hypothesis-driven coupling of mechanical forces and gene regulatory networks in three dimensions, reproducing pattern formation, epithelial differentiation and collective tissue movements during early embryogenesis.

Computational Modeling of Cell Morphogenesis publication trend

The graph below shows the total number of articles in computational modeling of cell morphogenesis across all publications each year (not limited to Nature Index journals).

Technical terms

Morphogenesis: The biological process by which cells and tissues acquire specific shapes and structures.

Agent-based model: A computational framework in which individual cells or agents follow specified rules for interaction, movement and state changes.

Vertex model: A discrete tissue representation that treats cells as polygons whose vertices move according to mechanical and topological constraints.

Extracellular matrix (ECM): A complex network of proteins and polysaccharides that provides structural support and biochemical signals to cells.

Mechanochemical coupling: The interplay between mechanical forces and chemical signalling in controlling cellular behaviour and tissue form.

References

1. Balancing competing effects of tissue growth and cytoskeletal regulation during Drosophila wing disc development. Nature Communications (2024).
2. SimuCell3D: three-dimensional simulation of tissue mechanics with cell polarization. Nature Computational Science (2024).
3. A cell-based computational model of early embryogenesis coupling mechanical behaviour and gene regulation. Nature Communications (2017).
4. PolyHoop: Soft particle and tissue dynamics with topological transitions. Computer Physics Communications (2024).
5. An agent-based model for cell microenvironment simulation using FLAMEGPU2. Computers in Biology and Medicine (2024).
6. A Sub-Cellular Viscoelastic Model for Cell Population Mechanics. PLOS ONE (2010).