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Short-Lived, Transitory Cell-Cell Interactions Foster Migration-Dependent Aggregation

Overview of attention for article published in PLOS ONE, August 2012
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Title
Short-Lived, Transitory Cell-Cell Interactions Foster Migration-Dependent Aggregation
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043237
Pubmed ID
Authors

Melissa D. Pope, Anand R. Asthagiri

Abstract

During embryonic development, motile cells aggregate into cohesive groups, which give rise to tissues and organs. The role of cell migration in regulating aggregation is unclear. The current paradigm for aggregation is based on an equilibrium model of differential cell adhesivity to neighboring cells versus the underlying substratum. In many biological contexts, however, dynamics is critical. Here, we provide evidence that multicellular aggregation dynamics involves both local adhesive interactions and transport by cell migration. Using time-lapse video microscopy, we quantified the duration of cell-cell contacts among migrating cells that collided and adhered to another cell. This lifetime of cell-cell interactions exhibited a monotonic decreasing dependence on substratum adhesivity. Parallel quantitative measurements of cell migration speed revealed that across the tested range of adhesive substrata, the mean time needed for cells to migrate and encounter another cell was greater than the mean adhesion lifetime, suggesting that aggregation dynamics may depend on cell motility instead of the local differential adhesivity of cells. Consistent with this hypothesis, aggregate size exhibited a biphasic dependence on substratum adhesivity, matching the trend we observed for cell migration speed. Our findings suggest a new role for cell motility, alongside differential adhesion, in regulating developmental aggregation events and motivate new design principles for tuning aggregation dynamics in tissue engineering applications.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 4%
United States 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 30%
Researcher 6 26%
Student > Master 4 17%
Student > Bachelor 3 13%
Student > Doctoral Student 1 4%
Other 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 35%
Engineering 5 22%
Physics and Astronomy 3 13%
Mathematics 2 9%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 4 17%