bioRxivBiophysicsPreprint
Emergence of single cell mechanical behavior and polarity within epithelial monolayers drives collective cell migration
S. Jain, V. Cachoux, G. Sankara, S. de Beco, J. D'Alessandro, V. Cellerin, T. Chen, M. Heuze, P. Marcq, R.-M. Mege, A. Kabla, C. T. Lim, B. Ladoux
Abstract
The directed migration of cell collectives is essential in various physiological processes, such as epiboly, intestinal epithelial turnover, and convergent extension during morphogenesis as well as during pathological events like wound healing and cancer metastasis1,2. Collective cell migration leads to the emergence of coordinated movements over multiple cells. Our current understanding emphasizes that these movements are mainly driven by large-scale transmission of signals through adherens junctions3,4. In this study, we show that collective movements of epithelial cells can be triggered by polarity signals at the single cell level through the establishment of coordinated lamellipodial protrusions. We designed a minimalistic model system to generate one-dimensional epithelial trains confined in ring shaped patterns that recapitulate rotational movements observed in vitro in cellular monolayers and in vivo in genitalia or follicular cell rotation5-7. Using our system, we demonstrated that cells follow coordinated rotational movements after the establishment of directed Rac1-dependent polarity over the entire monolayer. Our experimental and numerical approaches show that the maintenance of coordinated migration requires the acquisition of a front-back polarity within each single cell but does not require the maintenance of cell-cell junctions. Taken together, these unexpected findings demonstrate that collective cell dynamics in closed environments as observed in multiple in vitro and in vivo situations5,6,8,9 can arise from single cell behavior through a sustained memory of cell polarity.
- assay: imaging
- research focus: cell signaling & trafficking
- research focus: development & morphogenesis
- research focus: cell type annotation
- approach: experimental assay
- approach: statistical model
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