Extent of Cell Confinement in Microtracks Affects Speed and Results in Differential Matrix Strains

Mosier, Jenna A.; Rahman-Zaman, Aniqua; Zanotelli, Matthew R.; VanderBurgh, Jacob A.; Bordeleau, François; Hoffman, Brenton D.; Reinhart‐King, Cynthia A.

doi:10.1016/j.bpj.2019.09.024

Cited by 30 publications

(27 citation statements)

References 57 publications

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“…The second examined migration of breast tumor cells within collagen “microtracks” and found that this confined geometry reduces basal FAs and SFs. Notably, the latter study found that confinement also increases matrix strain, which both complements and contrasts with our AFM stiffness measurements and implies that stiffness and contractility are not fully coupled ( Mosier et al , 2019 ).…”

Section: Discussionsupporting

confidence: 69%

Direct evidence that tumor cells soften when navigating confined spaces

Rianna

Radmacher

Kumar

2020

MBoC

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Section: Discussionsupporting

confidence: 69%

Direct evidence that tumor cells soften when navigating confined spaces

Rianna

Radmacher

Kumar

2020

MBoC

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“…See also Figure S7. (Mosier et al, 2019;Nyberg et al, 2018;Raman et al, 2013;Rianna et al, 2020;Swaminathan et al, 2011;Xu et al, 2012). Thus, rapid mechano-adaptation of cancer cells in the circulation may confer a survival advantage and allow for dynamic regulation of their mechanical properties as they encounter diverse mechanical challenges in their metastatic journey.…”

Section: Discussionmentioning

confidence: 99%

Cancer Cells Resist Mechanical Destruction in Circulation via RhoA/Actomyosin-Dependent Mechano-Adaptation

et al. 2020

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“…The paper [ 77 ] explores how 3D collagen microtracks and confinement affect cell migration. The authors find that the degree of cell-extracellular matrix (ECM) interactions are key determinants of speed, morphology, and cell-generate substrate strains during motility.…”

Section: From Cytoskeleton and Intracellular Signaling To Cell Shape mentioning

confidence: 99%

Bridging from single to collective cell migration: A review of models and links to experiments

Buttenschön

Edelstein‐Keshet

2020

PLoS Comput Biol

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Mathematical and computational models can assist in gaining an understanding of cell behavior at many levels of organization. Here, we review models in the literature that focus on eukaryotic cell motility at 3 size scales: intracellular signaling that regulates cell shape and movement, single cell motility, and collective cell behavior from a few cells to tissues. We survey recent literature to summarize distinct computational methods (phase-field, polygonal, Cellular Potts, and spherical cells). We discuss models that bridge between levels of organization, and describe levels of detail, both biochemical and geometric, included in the models. We also highlight links between models and experiments. We find that models that span the 3 levels are still in the minority.

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Extent of Cell Confinement in Microtracks Affects Speed and Results in Differential Matrix Strains

Cited by 30 publications

References 57 publications

Direct evidence that tumor cells soften when navigating confined spaces

Direct evidence that tumor cells soften when navigating confined spaces

Cancer Cells Resist Mechanical Destruction in Circulation via RhoA/Actomyosin-Dependent Mechano-Adaptation

Bridging from single to collective cell migration: A review of models and links to experiments

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