SEM2: Introducing mechanics in cell and tissue modeling using coarse-grained homogeneous particle dynamics

• Published in: APL bioengineering Vol. 7; no. 4; pp. 046118 - 046118-14
• Main Authors: Chattaraj, Sandipan, Torre, Michele, Kalcher, Constanze, Stukowski, Alexander, Morganti, Simone, Reali, Alessandro, Pasqualini, Francesco Silvio
• Format: Journal Article
• Language: English
• Published: AIP Publishing LLC 01.12.2023
• ISSN: 2473-2877; 2473-2877
• DOI: 10.1063/5.0166829

Modeling multiscale mechanics in shape-shifting engineered tissues, such as organoids and organs-on-chip, is both important and challenging. In fact, it is difficult to model relevant tissue-level large non-linear deformations mediated by discrete cell-level behaviors, such as migration and proliferation. One approach to solve this problem is subcellular element modeling (SEM), where ensembles of coarse-grained particles interacting via empirically defined potentials are used to model individual cells while preserving cell rheology. However, an explicit treatment of multiscale mechanics in SEM was missing. Here, we incorporated analyses and visualizations of particle level stress and strain in the open-source software SEM++ to create a new framework that we call subcellular element modeling and mechanics or SEM2. To demonstrate SEM2, we provide a detailed mechanics treatment of classical SEM simulations including single-cell creep, migration, and proliferation. We also introduce an additional force to control nuclear positioning during migration and proliferation. Finally, we show how SEM2 can be used to model proliferation in engineered cell culture platforms such as organoids and organs-on-chip. For every scenario, we present the analysis of cell emergent behaviors as offered by SEM++ and examples of stress or strain distributions that are possible with SEM2. Throughout the study, we only used first-principles literature values or parametric studies, so we left to the Discussion a qualitative comparison of our insights with recently published results. The code for SEM2 is available on GitHub at https://github.com/Synthetic-Physiology-Lab/sem2.