Modeling mechanical inhomogeneities in small populations of proliferating monolayers and spheroids.

Biomech Model Mechanobiol

Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, 94305, USA.

Published: June 2018

AI Article Synopsis

  • Understanding the mechanical behavior of multicellular systems, like monolayers and spheroids, is crucial for applications such as tissue culture and tumor growth studies.
  • Proliferating cells in these systems experience mechanical forces that lead to differential growth rates, resulting in residual stress, which varies depending on the mechanical microenvironment.
  • Using a robust agent-based model, the study reveals that cells in spheroids have a higher average strain energy density than those in monolayers, highlighting the impact of stochastic fluctuations in mechanical conditions on cell behavior.

Article Abstract

Understanding the mechanical behavior of multicellular monolayers and spheroids is fundamental to tissue culture, organism development, and the early stages of tumor growth. Proliferating cells in monolayers and spheroids experience mechanical forces as they grow and divide and local inhomogeneities in the mechanical microenvironment can cause individual cells within the multicellular system to grow and divide at different rates. This differential growth, combined with cell division and reorganization, leads to residual stress. Multiple different modeling approaches have been taken to understand and predict the residual stresses that arise in growing multicellular systems, particularly tumor spheroids. Here, we show that by using a mechanically robust agent-based model constructed with the peridynamic framework, we gain a better understanding of residual stresses in multicellular systems as they grow from a single cell. In particular, we focus on small populations of cells (1-100 s) where population behavior is highly stochastic and prior investigation has been limited. We compare the average strain energy density of cells in monolayers and spheroids using different growth and division rules and find that, on average, cells in spheroids have a higher strain energy density than cells in monolayers. We also find that cells in the interior of a growing spheroid are, on average, in compression. Finally, we demonstrate the importance of accounting for stochastic fluctuations in the mechanical environment, particularly when the cellular response to mechanical cues is nonlinear. The results presented here serve as a starting point for both further investigation with agent-based models, and for the incorporation of major findings from agent-based models into continuum scale models when explicit representation of individual cells is not computationally feasible.

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Source
http://dx.doi.org/10.1007/s10237-017-0989-0DOI Listing

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