A Review of the Development and Challenges of Cell Mechanical Models

Gu, Yanyu; Zhang, Chuang; Zhang, Yiwei; Tan, Wenjun; Yu, Xiaobin; Zhang, Tianbiao; Liu, Lianqing; Zhao, Ying; Hao, Lina

doi:10.1109/tnb.2023.3235868

Cited by 2 publications

(2 citation statements)

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Section: Resultsmentioning

confidence: 99%

“…Moreover, in the current paper, the extracellular medium for each cell was assumed to be in a thermodynamic equilibrium that is solely a function of temperature. Anderson, Benson and Kearsley show that there can be a spatial dependence of concentration in the extracellular milieux during cooling [62,63] on the individual cell level, and Warner et al suggest that, even at superzero temperatures, there is a complicated interaction between solute, solvent and cellular transport as the size of the tissue increases [64]. Therefore, future work in larger tissues should pay close attention to the possible distribution of both heat and concentration, their effects on the intracellular state of each agent, and in turn, the likelihood that any cell may experience IIF.…”

Section: Hepatocyte Tissue Slabmentioning

confidence: 99%

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A three-dimensional lattice-free agent-based model of intracellular ice formation and propagation and intercellular mechanics in liver tissues

Amiri,

Benson

2024

R. Soc. Open Sci.

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A successful cryopreservation of tissues and organs is crucial for medical procedures and drug development acceleration. However, there are only a few instances of successful tissue cryopreservation. One of the main obstacles to successful cryopreservation is intracellular ice damage. Understanding how ice spreads can accelerate protocol development and enable model-based decision-making. Previous models of intracellular ice formation in individual cells have been extended to one-cell-wide arrays to establish the theory of intercellular ice propagation in tissues. The current lattice-based ice propagation models do not account for intercellular forces resulting from cell solidification, which could lead to mechanical disruption of tissue structures during freezing. Moreover, these models have not been expanded to include more realistic tissue architectures. In this article, we discuss the development and validation of a stochastic model for the formation and propagation of ice in small tissues using lattice-free agent-based model. We have improved the existing model by incorporating the mechanical effects of water crystallization within cells. Using information from previous research, we have also created a new model that accounts for ice growth in tissue slabs, spheroids and hepatocyte discs. Our model demonstrates that individual cell freezing can have mechanical consequences and is consistent with earlier findings.

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Section: Resultsmentioning

confidence: 99%