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Calcium Wave Propagation in Networks of Endothelial Cells: Model-based Theoretical and Experimental Study

Overview of attention for article published in PLoS Computational Biology, December 2012
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Title
Calcium Wave Propagation in Networks of Endothelial Cells: Model-based Theoretical and Experimental Study
Published in
PLoS Computational Biology, December 2012
DOI 10.1371/journal.pcbi.1002847
Pubmed ID
Authors

Juexuan Long, Michael Junkin, Pak Kin Wong, James Hoying, Pierre Deymier

Abstract

In this paper, we present a combined theoretical and experimental study of the propagation of calcium signals in multicellular structures composed of human endothelial cells. We consider multicellular structures composed of a single chain of cells as well as a chain of cells with a side branch, namely a "T" structure. In the experiments, we investigate the result of applying mechano-stimulation to induce signaling in the form of calcium waves along the chain and the effect of single and dual stimulation of the multicellular structure. The experimental results provide evidence of an effect of architecture on the propagation of calcium waves. Simulations based on a model of calcium-induced calcium release and cell-to-cell diffusion through gap junctions shows that the propagation of calcium waves is dependent upon the competition between intracellular calcium regulation and architecture-dependent intercellular diffusion.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 22%
Student > Ph. D. Student 10 20%
Professor > Associate Professor 8 16%
Student > Bachelor 5 10%
Student > Master 5 10%
Other 7 14%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 31%
Engineering 10 20%
Physics and Astronomy 6 12%
Medicine and Dentistry 4 8%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 6 12%
Unknown 7 14%