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Carpenter, L. C.

Publications and source records attributed to Carpenter, L. C..

2 recordsLinked to original sources

Physical traits of supercompetitors in cell competition

Cell competition is a fitness control mechanism in tissues, where less fit cells are eliminated to maintain tissue homeostasis. Two primary mechanisms of cell elimination have been identified in cell competition studies: contact-dependent cell death and mechanical compression-driven apoptosis. While both occur in tissues, their combined impact on population dynamics is unclear. Here we develop a cell-based computational model to study competition between two cell types with differing physical properties. The model integrates cellular mechanics with cell-cycle dynamics, contact-induced apoptosis, and cell extrusion via mechanical stress. Using this model, we explored how differences in physical traits between cell types influence competitive interactions. Our findings show that differences in cell compressibility alone can drive mechanical competition, with stiffer cells outcompeting softer ones in otherwise identical populations. Surprisingly, mutations that reduce cell stiffness, combined with decreased contact inhibition of proliferation, can create a "soft" super-competitive mutant. We demonstrate that changes in apoptosis sensitivity, cell adhesion, and cell size significantly affect growth potential and susceptibility to apoptosis. Furthermore, mutant cell colonies require a critical colony size, dependent on cell compressibility, to overtake the surrounding wild-type tissue. For colonies below the critical size, the elimination process is stochastic, driven by a protrusive finger-like instability in the interface between two cells that promote invasion of the supercompetitors.

biophysics↗

Mechanical control of cell proliferation patterns in growing tissues

Cell proliferation plays a crucial role in regulating tissue homeostasis and development. However, our understanding of how cell proliferation is controlled in densely packed tissues is limited. Here we develop a computational framework to predict the patterns of cell proliferation in growing tissues, connecting single-cell behaviors and cell-cell interactions to tissue-level growth. Our model incorporates probabilistic rules governing cell growth, division, and elimination, while also taking into account their feedback with tissue mechanics. In particular, cell growth is suppressed and apoptosis is enhanced in regions of high cell density. With these rules and model parameters calibrated using experimental data, we predict how tissue confinement influences cell size and proliferation dynamics, and how single-cell physical properties influence the spatiotemporal patterns of tissue growth. Our findings indicate that mechanical feedback between tissue confinement and cell growth leads to enhanced cell proliferation at tissue boundaries, whereas cell growth in the bulk is arrested. By tuning cellular elasticity and contact inhibition of proliferation we can regulate the emergent patterns of cell proliferation, ranging from uniform growth at low contact inhibition to localized growth at higher contact inhibition. Furthermore, mechanical state of the tissue governs the dynamics of tissue growth, with cellular parameters affecting tissue pressure playing a significant role in determining the overall growth rate. Our computational study thus underscores the impact of cell mechanical properties on the spatiotemporal patterns of cell proliferation in growing tissues.

biophysics↗