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The bending of cell sheets - from folding to rolling

Overview of attention for article published in BMC Biology, December 2011
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Title
The bending of cell sheets - from folding to rolling
Published in
BMC Biology, December 2011
DOI 10.1186/1741-7007-9-90
Pubmed ID
Authors

Ray Keller, David Shook

Abstract

The bending of cell sheets plays a major role in multicellular embryonic morphogenesis. Recent advances are leading to a deeper understanding of how the biophysical properties and the force-producing behaviors of cells are regulated, and how these forces are integrated across cell sheets during bending. We review work that shows that the dynamic balance of apical versus basolateral cortical tension controls specific aspects of invagination of epithelial sheets, and recent evidence that tissue expansion by growth contributes to neural retinal invagination in a stem cell-derived, self-organizing system. Of special interest is the detailed analysis of the type B inversion in Volvox reported in BMC Biology by Höhn and Hallmann, as this is a system that promises to be particularly instructive in understanding morphogenesis of any monolayered spheroid system.

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Australia 1 2%
United Kingdom 1 2%
Iran, Islamic Republic of 1 2%
Spain 1 2%
United States 1 2%
Unknown 58 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 34%
Researcher 17 27%
Professor 4 6%
Student > Bachelor 4 6%
Professor > Associate Professor 3 5%
Other 8 13%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 55%
Biochemistry, Genetics and Molecular Biology 14 22%
Physics and Astronomy 4 6%
Chemistry 2 3%
Computer Science 1 2%
Other 2 3%
Unknown 6 9%