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A one-dimensional individual-based mechanical model of cell movement in heterogeneous tissues and its coarse-grained approximation.

Ryan J MurphyPascal R BuenzliRuth E BakerMatthew J Simpson
Published in: Proceedings. Mathematical, physical, and engineering sciences (2019)
Mechanical heterogeneity in biological tissues, in particular stiffness, can be used to distinguish between healthy and diseased states. However, it is often difficult to explore relationships between cellular-level properties and tissue-level outcomes when biological experiments are performed at a single scale only. To overcome this difficulty, we develop a multi-scale mathematical model which provides a clear framework to explore these connections across biological scales. Starting with an individual-based mechanical model of cell movement, we subsequently derive a novel coarse-grained system of partial differential equations governing the evolution of the cell density due to heterogeneous cellular properties. We demonstrate that solutions of the individual-based model converge to numerical solutions of the coarse-grained model, for both slowly-varying-in-space and rapidly-varying-in-space cellular properties. We discuss applications of the model, such as determining relative cellular-level properties and an interpretation of data from a breast cancer detection experiment.
Keyphrases
  • molecular dynamics
  • single cell
  • cell therapy
  • gene expression
  • molecular dynamics simulations
  • type diabetes
  • adipose tissue
  • bone marrow
  • machine learning
  • young adults
  • deep learning
  • quantum dots
  • real time pcr