Cell Mechanics at the Rear Act to Steer the Direction of Cell Migration

Allen, Greg M.; Lee, Kun Chun; Barnhart, Erin L.; Tsuchida, Mark A.; Wilson, Cyrus A.; Gutierrez, Edgar; Groisman, Alexander; Theriot, Julie A.; Mogilner, Alex

doi:10.1016/j.cels.2020.08.008

Cited by 21 publications

(12 citation statements)

References 74 publications

(93 reference statements)

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“…Also note that we have not incorporated the explicit dynamics of adhesion bonds as in some previous results (Shao et al , 2012 ; Reeves et al , 2018 ). Instead, the interior of the deformable computational cell consisted of a compressible viscous fluid, representing the actin cytoskeleton, and the friction of the flow of this fluid with the substrate then generated traction, as in other computational models (Barnhart et al , 2015 ; Allen et al , 2020 ). Note that in this model, just as in some similar (Rubinstein et al , 2009 ; Shao et al , 2012 ), the flow is derived from the cytosolic interior of the cell and not from the membrane (Fogelson & Mogilner, 2014 ).…”

Section: Discussionmentioning

confidence: 99%

Coupling traction force patterns and actomyosin wave dynamics reveals mechanics of cell motion

Ghabache

Cao

Miao

et al. 2021

Molecular Systems Biology

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Motile cells can use and switch between different modes of migration. Here, we use traction force microscopy and fluorescent labeling of actin and myosin to quantify and correlate traction force patterns and cytoskeletal distributions in Dictyostelium discoideum cells that move and switch between keratocyte‐like fan‐shaped, oscillatory, and amoeboid modes. We find that the wave dynamics of the cytoskeletal components critically determine the traction force pattern, cell morphology, and migration mode. Furthermore, we find that fan‐shaped cells can exhibit two different propulsion mechanisms, each with a distinct traction force pattern. Finally, the traction force patterns can be recapitulated using a computational model, which uses the experimentally determined spatiotemporal distributions of actin and myosin forces and a viscous cytoskeletal network. Our results suggest that cell motion can be generated by friction between the flow of this network and the substrate.

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Section: Discussionmentioning

confidence: 99%

Coupling traction force patterns and actomyosin wave dynamics reveals mechanics of cell motion

Ghabache

Cao

Miao

et al. 2021

Molecular Systems Biology

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“…When confined to 1-dimensional channels, DCs were shown to switch between moving and not moving states (45). The bacterium E. coli switches between "runs" and "tumbles," and fish keratocytes switch between continuous random walks and continuously turning states in which they move for an extended period of time in circles with a radius comparable with the cell size (46,47). However, both the form of the trajectories and the mechanisms behind these biphasic behaviors are different (6, 7).…”

Section: Discussionmentioning

confidence: 99%

“…However, these DCs continued to migrate. Indeed, similar to keratocytes, the migration of confined immature DCs depends on the action of the myosin motors (16,29,47). In our analysis, the effects of the myosin motors were not included as we focused on the directionality of the actin flow.…”

Section: Discussionmentioning

confidence: 99%

Deterministic actin waves as generators of cell polarization cues

Stankevicins

Ecker

Terriac

et al. 2019

Proc. Natl. Acad. Sci. U.S.A.

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Dendritic cells “patrol” the human body to detect pathogens. In their search, dendritic cells perform a random walk by amoeboid migration. The efficiency of pathogen detection depends on the properties of the random walk. It is not known how the dendritic cells control these properties. Here, we quantify dendritic cell migration under well-defined 2-dimensional confinement and in a 3-dimensional collagen matrix through recording their long-term trajectories. We find 2 different migration states: persistent migration, during which the dendritic cells move along curved paths, and diffusive migration, which is characterized by successive sharp turns. These states exhibit differences in the actin distributions. Our theoretical and experimental analyses indicate that this kind of motion can be generated by spontaneous actin polymerization waves that contribute to dendritic cell polarization and migration. The relative distributions of persistent and diffusive migration can be changed by modification of the molecular actin filament nucleation and assembly rates. Thus, dendritic cells can control their migration patterns and adapt to specific environments. Our study offers an additional perspective on how dendritic cells tune their searches for pathogens.

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“…Historically, the research community has tried to simplify experiments and models to make them understandable [ 176 ]. Interest in complex phenomena (e.g., nonlinear responses, feedback loops, and competition between distinct components) has recently emerged [ 169 , 366 , 367 ]. As a result, we may discover behaviors that would only emerge from such complexity.…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Unravelling cell migration: defining movement from the cell surface

Merino-Casallo

Gómez‐Benito

Hervas-Raluy

et al. 2022

Cell Adhesion & Migration

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Cell motility is essential for life and development. Unfortunately, cell migration is also linked to several pathological processes, such as cancer metastasis. Cells’ ability to migrate relies on many actors. Cells change their migratory strategy based on their phenotype and the properties of the surrounding microenvironment. Cell migration is, therefore, an extremely complex phenomenon. Researchers have investigated cell motility for more than a century. Recent discoveries have uncovered some of the mysteries associated with the mechanisms involved in cell migration, such as intracellular signaling and cell mechanics. These findings involve different players, including transmembrane receptors, adhesive complexes, cytoskeletal components , the nucleus, and the extracellular matrix. This review aims to give a global overview of our current understanding of cell migration.

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Cell Mechanics at the Rear Act to Steer the Direction of Cell Migration

Cited by 21 publications

References 74 publications

Coupling traction force patterns and actomyosin wave dynamics reveals mechanics of cell motion

Coupling traction force patterns and actomyosin wave dynamics reveals mechanics of cell motion

Deterministic actin waves as generators of cell polarization cues

Unravelling cell migration: defining movement from the cell surface

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