Multiple Influences of Mechanical Forces on Cell Competition

Matamoro‐Vidal, Alexis; Levayer, Romain

doi:10.1016/j.cub.2019.06.030

Cited by 53 publications

(44 citation statements)

References 126 publications

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“…Hence, these data are in line with our interpretation that mechanical competition also drives tumor competitive growth in the Drosophila intestine. In the epithelium, the mechanical modulation of surface tension is regulated by the actomyosin complex, which is counterbalanced by the Cadherin-dependent cell-cell adhesions (Curran et al, 2017;Lecuit and Lenne, 2007;Matamoro-Vidal and Levayer, 2019;Rö per et al, 2018). Our study shows that tumors interact with their microenvironment and trigger ROCK/ JNK related cell death.…”

Section: Discussionmentioning

confidence: 75%

“…Cell replenishment and rearrangement are common mechanisms to sustain tissue homeostasis, which are also essential for development. Tissue growth requires dynamic cell rearrangements including cell elimination by mechanical competition (Levayer et al, 2016;Matamoro-Vidal and Levayer, 2019;Wagstaff et al, 2016). For example, epithelial cells can be eliminated by cell extrusion to maintain tissue homeostasis (Eisenhoffer et al, 2012;Marinari et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Microenvironmental innate immune signaling and cell mechanical responses promote tumor growth

2021

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Section: Discussionmentioning

confidence: 75%

Section: Introductionmentioning

confidence: 99%

Microenvironmental innate immune signaling and cell mechanical responses promote tumor growth

2021

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“…However, discrete models often lack macroscopic intuition and can be computationally intensive, especially with proliferation and death included, which are commonly stochastic and require many realizations to understand the average behaviour. Continuum models commonly include proliferation and death through source/sink terms and may require constitutive equations to close the system [3,21,25,39,43]. In general, continuum models do not make the underlying cell-level processes clear [12].…”

mentioning

confidence: 99%

Mechanical cell competition in heterogeneous epithelial tissues

Murphy

Buenzli

Baker

et al. 2019

Preprint

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Mechanical cell competition is important during tissue development, cancer invasion, and tissue ageing. Heterogeneity plays a key role in practical applications since cancer cells can have different cell stiffness and different proliferation rates than normal cells. To study this phenomenon, we propose a one-dimensional mechanical model of heterogeneous epithelial tissue dynamics that includes cell-length-dependent proliferation and death mechanisms. Proliferation and death are incorporated into the discrete model stochastically and arise as source/sink terms in the corresponding continuum model that we derive. Using the discrete model and the new continuum description, we explore several applications including the evolution of homogeneous tissues experiencing proliferation and death, and competition in a heterogeneous setting with a cancerous tissue competing for space with an adjacent normal tissue. This framework allows us to postulate new mechanisms that explain the ability of cancer cells to outcompete healthy cells through mechanical differences rather than by having some intrinsic proliferative advantage. 1In the emerging field of mechanical cell competition, winner cells compress neighbouring cells promoting tissue crowding and regions of higher density, which leads to cell death [5,21,47], while cell proliferation occurs in regions of lower density [13]. In this work, we focus on mechanical cell competition arising from the coupling of a cell-based model of epithelial tissue mechanics with celllength-dependent proliferation and death mechanisms. We consider mechanical forces to be driven by cell stiffness which is important for cancer progression [41], cancer detection [36], morphogenesis [10], and wound healing [9]. A grand challenge in cell biology is to understand how tissue-level outcomes are related to cell-based mechanisms, especially when experiments are performed by focusing on a single scale, and many cellular processes occur over multiple overlapping timescales [6,48]. Therefore, we apply mathematical modelling with in silico simulations to develop a framework to quantitatively connect cell-level mechanisms with tissue-level outcomes.Many mathematical modelling frameworks, including both discrete models and continuum models, have been used to study cell migration and cell proliferation. In discrete models individual cell properties and inter-cellular interactions can be prescribed [33,34]. However, discrete models often lack macroscopic intuition and can be computationally intensive, especially with proliferation and death included, which are commonly stochastic and require many realizations to understand the average behaviour. Continuum models commonly include proliferation and death through source/sink terms and may require constitutive equations to close the system [3,21,25,39,43]. In general, continuum models do not make the underlying cell-level processes clear [12]. However, continuum models can be less computationally expensive than discrete models and can be analysed with wellestablishe...

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“…Exercise intervention, as well as mechanical stress stimulation, has become one of the most effective methods to prevent and treat osteoporosis because exercise has no toxic side effects and possesses osteogenic benefits ( 1 , 2 ). Stress exists in all intracellular environments and can regulate a number of cell and biological functions, such as proliferation and differentiation ( 3 ). Mechanical stress stimulation is one of the necessary conditions for maintaining the stability of the skeletal system.…”

Section: Introductionmentioning

confidence: 99%

Next‑generation sequencing of miRNAs and lncRNAs from rat femur and tibia under mechanical stress

Qiu

Zhu

Zeng³

et al. 2021

Mol Med Rep

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Exercise intervention has become one of the most effective methods to prevent and treat osteoporosis, which is a common age-related disease and seriously affects the health and quality of life of the elderly. However, the molecular mechanism remains to be elucidated. The present study demonstrated the exercise-induced promotion of osteogenic differentiation and inhibition of adipogenic differentiation in femur and tibia by establishing an animal exercise model using a treadmill exercise system. MicroRNA (miRNA/miR) and long non-coding (lnc)RNA sequencing analyses identified 16 upregulated and two downregulated miRNAs in the exercise group, as well as 44 upregulated lncRNAs and 39 downregulated lncRNAs in the exercise group. There was increased expression of miR-9942 and miR-7704 in both the femur and tibia and an upregulation of miR-30d, miR-5100 and miR-1260 in the femur of animals from the exercise group. In addition, four of the five most downregulated lncRNAs, including lncRNA MSTRG.2625, lncRNA MSTRG.1557, lncRNA MSTRG.691 and lncRNA MSTRG.7497, were demonstrated to be suppressed in both the femur and tibia after treadmill exercise. The results of the present study provided a valuable resource for further exploring the molecular mechanisms underlying the regulation of osteoporosis by exercise.

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Multiple Influences of Mechanical Forces on Cell Competition

Cited by 53 publications

References 126 publications

Microenvironmental innate immune signaling and cell mechanical responses promote tumor growth

Microenvironmental innate immune signaling and cell mechanical responses promote tumor growth

Mechanical cell competition in heterogeneous epithelial tissues

Next‑generation sequencing of miRNAs and lncRNAs from rat femur and tibia under mechanical stress

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