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Moving Forward Moving Backward: Directional Sorting of Chemotactic Cells due to Size and Adhesion Differences

Overview of attention for article published in PLoS Computational Biology, June 2006
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Title
Moving Forward Moving Backward: Directional Sorting of Chemotactic Cells due to Size and Adhesion Differences
Published in
PLoS Computational Biology, June 2006
DOI 10.1371/journal.pcbi.0020056
Pubmed ID
Authors

Jos Käfer, Paulien Hogeweg, Athanasius F. M Marée

Abstract

Differential movement of individual cells within tissues is an important yet poorly understood process in biological development. Here we present a computational study of cell sorting caused by a combination of cell adhesion and chemotaxis, where we assume that all cells respond equally to the chemotactic signal. To capture in our model mesoscopic properties of biological cells, such as their size and deformability, we use the Cellular Potts Model, a multiscale, cell-based Monte Carlo model. We demonstrate a rich array of cell-sorting phenomena, which depend on a combination of mescoscopic cell properties and tissue level constraints. Under the conditions studied, cell sorting is a fast process, which scales linearly with tissue size. We demonstrate the occurrence of "absolute negative mobility", which means that cells may move in the direction opposite to the applied force (here chemotaxis). Moreover, during the sorting, cells may even reverse the direction of motion. Another interesting phenomenon is "minority sorting", where the direction of movement does not depend on cell type, but on the frequency of the cell type in the tissue. A special case is the cAMP-wave-driven chemotaxis of Dictyostelium cells, which generates pressure waves that guide the sorting. The mechanisms we describe can easily be overlooked in studies of differential cell movement, hence certain experimental observations may be misinterpreted.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Japan 2 2%
France 2 2%
Portugal 1 1%
Netherlands 1 1%
United Kingdom 1 1%
Unknown 85 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 25%
Researcher 24 25%
Professor > Associate Professor 11 12%
Student > Master 10 11%
Lecturer > Senior Lecturer 4 4%
Other 12 13%
Unknown 10 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 37%
Physics and Astronomy 24 25%
Biochemistry, Genetics and Molecular Biology 9 9%
Engineering 7 7%
Mathematics 3 3%
Other 6 6%
Unknown 11 12%