AI Insight
Researchers developed a three-dimensional computational model that connects individual cell behaviors to the mechanical properties of tissues by incorporating viscoelastic and adaptive connections between cells. The model successfully reproduces two standard experimental measurements on cell aggregates: micropipette aspiration and compression tests. It demonstrates how tissue-level properties like elasticity and viscosity emerge from cell-scale interactions, including phenomena such as jamming at constriction points and swirling motion in liquid-like tissues.
Why it matters
This framework provides a computational tool to interpret how tissues behave mechanically based on individual cell properties and interactions, which is important for understanding developmental processes, wound healing, and cancer metastasis. It bridges the gap between emerging high-resolution imaging techniques that track single cells within 3D tissues and bulk mechanical measurements of tissue properties.
Understand the Science
⚠️ Preprint – Noch nicht peer-reviewed
Dieser Artikel wurde noch nicht von unabhängigen Experten begutachtet. Die Ergebnisse sind vorläufig und sollten mit Vorsicht interpretiert werden.
We introduce a 3D mechanically adaptive viscoelastic cell-network model that links single-cell interactions to emergent tissue rheology. Unlike existing continuum or cell-based models, viscoelasticity is embedded within discrete, mechanically adaptive intercellular connections, allowing tissue- scale rheology and phenomena such as swirling and jamming to arise from single-cell behaviors and connection remodeling. The framework is motivated by recent advances in three-dimensional imaging and structural analysis that resolve single-cell behaviors within aggregates. It is validated against two gold-standard bulk assays performed on spherical aggregates: micropipette aspiration and Hertzian plate compression. Under aspiration, the model demonstrates a transition from elastic deformation to viscous creep governed by localized packing and emergent jamming at the aspirated neck, accompanied by increased mechanically adaptive remodeling. Under compression, core rheology determines deformation mode: liquid-like aggregates exhibit enhanced swirling, consistent with experimental observations, whereas solid-like aggregates exhibit affine, Poisson-like deformation. These results bridge cell-scale dynamics and quantifiable tissue rheology including elastic modulus and vicosity, providing a framework to interpret emerging 3D measurements of multicellular mechanics.
Source: Emergent Tissue Rheology in a 3D Mechanically Adaptive Viscoelastic Cell Network Model