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Monolayer Stress Microscopy: Limitations, Artifacts, and Accuracy of Recovered Intercellular Stresses

Overview of attention for article published in PLOS ONE, February 2013
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Title
Monolayer Stress Microscopy: Limitations, Artifacts, and Accuracy of Recovered Intercellular Stresses
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0055172
Pubmed ID
Authors

Dhananjay T. Tambe, Ugo Croutelle, Xavier Trepat, Chan Young Park, Jae Hun Kim, Emil Millet, James P. Butler, Jeffrey J. Fredberg

Abstract

In wound healing, tissue growth, and certain cancers, the epithelial or the endothelial monolayer sheet expands. Within the expanding monolayer sheet, migration of the individual cell is strongly guided by physical forces imposed by adjacent cells. This process is called plithotaxis and was discovered using Monolayer Stress Microscopy (MSM). MSM rests upon certain simplifying assumptions, however, concerning boundary conditions, cell material properties and system dimensionality. To assess the validity of these assumptions and to quantify associated errors, here we report new analytical, numerical, and experimental investigations. For several commonly used experimental monolayer systems, the simplifying assumptions used previously lead to errors that are shown to be quite small. Out-of-plane components of displacement and traction fields can be safely neglected, and characteristic features of intercellular stresses that underlie plithotaxis remain largely unaffected. Taken together, these findings validate Monolayer Stress Microscopy within broad but well-defined limits of applicability.

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Mendeley readers

The data shown below were compiled from readership statistics for 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
France 3 1%
Italy 1 <1%
Netherlands 1 <1%
Denmark 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Spain 1 <1%
Unknown 203 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 66 31%
Researcher 33 15%
Student > Master 27 13%
Student > Doctoral Student 15 7%
Student > Bachelor 13 6%
Other 34 16%
Unknown 28 13%
Readers by discipline Count As %
Engineering 57 26%
Agricultural and Biological Sciences 39 18%
Physics and Astronomy 27 13%
Biochemistry, Genetics and Molecular Biology 23 11%
Materials Science 7 3%
Other 26 12%
Unknown 37 17%