Cell clusters adopt a collective amoeboid mode of migration in confined non-adhesive environments

Pagès, Diane-Laure; Dornier, Emmanuel; Seze, Jean de; Wang, Li; Luan, Rui; Cartry, Jérôme; Canet-Jourdan, Charlotte; Raingeaud, Joël; Voituriez, Raphaël; Coppey, Mathieu; Piel, Matthieu; Jaulin, Fanny

doi:10.1101/2020.05.28.106203

Cited by 8 publications

(9 citation statements)

References 41 publications

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“…It is reported that cell motility correlates strongly with the surrounding conditions [7][8][9]. For instance, it is known that a one-dimensional confinement can trigger collective migration [10] and that changes in the density of cells in a two-dimensional substrate can lead to an increase in their motility [11]. Also, it was reported that metastatic cancer cells can navigate a complex porous medium selecting pore shapes to find least-resistance paths to invade [12].…”

Section: Introductionmentioning

confidence: 99%

Minimal model for active particles confined in a two-state micropattern

Safara¹,

Melo²,

Gama³

et al. 2022

Preprint

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We propose a minimal model, based on active Brownian particles, for the dynamics of cells confined in a two-state micropattern, composed of two rectangular boxes connected by a bridge, and investigate the transition statistics. A transition between boxes occurs when the active particle crosses the center of the bridge, and the time between subsequent transitions is the dwell time. By assuming that the rotational diffusion time τ is a function of the position, the main features of the transition statistics observed experimentally are recovered. τ controls the transition from a ballistic regime at short time scales to a diffusive regime at long time scales, with an effective diffusion coefficient proportional to τ . For small values of τ , the dwell time is determined by the characteristic diffusion timescale which decays with τ . For large values of τ , the interaction with the walls dominates and the particle stays mostly at the corners of the boxes increasing the dwell time. We find that there is an optimal τ for which the dwell time is minimal and its value can be tuned by changing the geometry of the pattern.

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Section: Introductionmentioning

confidence: 99%

Minimal model for active particles confined in a two-state micropattern

Safara¹,

Melo²,

Gama³

et al. 2022

Preprint

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show abstract

“…Moreover, the jittered arrangement of color-coded beeswarms in SuperPlots makes it very difficult to identify differences in the replicates' distributions (Figure 1A). Lacking suitable alternatives, researchers have chosen to show the pooled data distribution using a violin plot that does not contain information about the individual cell distributions within biological replicates (Chavali et al, 2020;Pagès et al, 2020). We thus propose replacing the beeswarm plot with a modified violin plot.…”

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confidence: 99%

“…For many biological replicates (>18), the shape of the individual stripes of a Violin SuperPlot becomes uninformative. In this limiting case, plotting the replicate means together with their summary statistics on top of a violin plot of the pooled data (Chavali et al, 2020;Pagès et al, 2020) provides a suitable compromise. Violin SuperPlots thus do not replace previous SuperPlot formats (Lord et al, 2020;Goedhart, 2021) but rather complement and extend their scope.…”

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confidence: 99%

“…Lacking suitable alternatives, researchers have chosen to show the pooled data distribution using a violin plot that does not contain information about the individual cell distributions within biological replicates ( Chavali et al. , 2020 ; Pagès et al. , 2020 ).…”

mentioning

confidence: 99%

“…In this limiting case, plotting the replicate means together with their summary statistics on top of a violin plot of the pooled data ( Chavali et al. , 2020 ; Pagès et al. , 2020 ) provides a suitable compromise.…”

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confidence: 99%

See 2 more Smart Citations

Violin SuperPlots: visualizing replicate heterogeneity in large data sets

Kenny

Schoen

2021

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Cell‐Taxi: Mesenchymal Cells Carry and Transport Clusters of Cancer Cells

Zárubová

Hasani-Sadrabadi

Norris

et al. 2022

Small

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The migration of cancer cell groups is highly dependent on the chemical and physical guidance cues provided by the tumor stroma, which polarize cell collectives and enable their coordinated movement. For example, macrophages attracted by cancer cells can stimulate the multicellular streaming of tumor cells. [7] Moreover, activated fibroblasts in tumor stroma exert forces on cancer cells [8] and create tracks [9] in extracellular matrix (ECM) or align collagen fibers, [10] which promote efficient directional migration of groups of cancer cells along these features. The movement of cohesive multicellular groups is generally led by an invasive leader cell, which creates a path and sets the direction of migration for non-invasive follower cells in the group. [11] Once the groups of cancer cells invade the vasculature, they can dynamically reorganize and adjust their geometries to pass even through narrow blood vessels. [12] These multicellular groups, also known as circulating tumor cell clusters (CTCCs), can contain between 4 -100 cells. [12] However, CTCCs found in the bloodstream of cancer patients are not composed solely of cancer cells and may also contain mesenchymal cells, endothelial cells, and/or immune cells. [13] Clusters of mesenchymal cells with cancer cells have been detected in the peripheral blood of patients with metastatic breast cancer but not in the blood of healthy donors. The presence of circulating CAFs in the blood was confirmed in 88% of patients with metastatic disease and only in 23% of patients with localized breast cancer. [14] Similarly, increased numbers of circulating mesenchymal cells correlated with a worse prognosis and a lower probability of survival in metastatic patients. [15] The importance of co-traveling mesenchymal/ stromal cells in the metastatic process is also supported by observations that up to 86% of carcinoma cells that spread to the lungs were accompanied by primary tumor stroma-derived cells; in the majority of cases, these cells stained positive for smooth muscle α-actin (α-SMA) but only 28% cases stained positive for F4/80, a macrophage marker. [16] When the tumor stromal cells were partially depleted, the number of metastases significantly decreased.While mesenchymal stromal cells (MSCs) are known to be recruited to damaged or inflamed tissue, where they promote tissue regeneration, MSCs are also attracted to tumor sites. [17][18][19] Currently, without lineage tracing experiments, it is difficult to Cell clusters that collectively migrate from primary tumors appear to be far more potent in forming distant metastases than single cancer cells. A better understanding of the collective cell migration phenomenon and the involvement of various cell types during this process is needed. Here, an in vitro platform based on inverted-pyramidal microwells to follow and quantify the collective migration of hundreds of tumor cell clusters at once is developed. These results indicate that mesenchymal stromal cells (MSCs) or cancer-associated fibroblasts (CAFs) in the heterotypi...

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Cell clusters adopt a collective amoeboid mode of migration in confined non-adhesive environments

Cited by 8 publications

References 41 publications

Minimal model for active particles confined in a two-state micropattern

Minimal model for active particles confined in a two-state micropattern

Violin SuperPlots: visualizing replicate heterogeneity in large data sets

Cell‐Taxi: Mesenchymal Cells Carry and Transport Clusters of Cancer Cells

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