ArticleConvergent science physical oncology2016
Collective cell migration over long time scales reveals distinct phenotypes.
Article in Convergent science physical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- PIEZO1 regulates leader cell formation and cellular coordination during collective keratinocyte migration.PLoS computational biology · 2024Article
- Hypoxia suppresses glucose-induced increases in collective cell migration in vascular endothelial cell monolayers.Scientific reports · 2024Article
- Distinct roles of tumor associated mutations in collective cell migration.Scientific reports · 2021Article
- Quantifying topography-guided actin dynamics across scales using optical flow.Molecular biology of the cell · 2020Article
- Dynamics phenotyping across length and time scales in collective cell migration.Seminars in cell & developmental biology · 2019Review
- Uncoupling Traditional Functionalities of Metastasis: The Parting of Ways with Real-Time Assays.Journal of clinical medicine · 2019Review
- Keratin 6 regulates collective keratinocyte migration by altering cell-cell and cell-matrix adhesion.The Journal of cell biology · 2018Article
- Lysophosphatidic acid regulates the motility of MCF10CA1a breast cancer cell sheets via two opposing signaling pathways.Cellular signalling · 2018Article
- Using the Dot Assay to Analyze Migration of Cell Sheets.Journal of visualized experiments : JoVE · 2017Article
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Authors and funding
4 authors.
Funding
Abstract
introductionMigratory phenotypes of metastasizing tumor cells include single and collective cell migration. While migration of tumor cells is generally less cooperative than that of normal epithelial cells, our understanding of precisely how they differ in long time behavior is incomplete.
objectivesWe measure in a model system how cancer progression affects collective migration on long time scales, and determine how perturbation of cell-cell adhesions, specifically reduced E-cadherin expression, affects the collective migration phenotype.
methodsTime lapse imaging of cellular sheets and particle image velocimetry (PIV) are used to quantitatively study the dynamics of cell motion over ten hours. Long time dynamics are measured via finite time Lyapunov exponents (FTLE) and changes in FTLE with time.
resultsWe find that non-malignant MCF10A cells are distinguished from malignant MCF10CA1a cells by both their short time (minutes) and long time (hours) dynamics. In addition, short time dynamics distinguish non-malignant E-cadherin knockdown cells from the control, but long time dynamics and increasing spatial correlations remain unchanged. DISCUSSION: Epithelial sheet collective behavior includes long time dynamics that cannot be captured by metrics that assess cooperativity based on short time dynamics, such as instantaneous speed or directionality. The use of metrics incorporating migration data over hours instead of minutes allows us to more precisely describe how E-cadherin, a clinically relevant adhesion molecule, affects collective migration. We predict that the long time scale metrics described here will be more robust and predictive of malignant behavior than analysis of instantaneous velocity fields alone.
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