↓ Skip to main content

No strings attached: new insights into epithelial morphogenesis

Overview of attention for article published in BMC Biology, December 2012
Altmetric Badge

Mentioned by

news
1 news outlet
twitter
3 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
56 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
No strings attached: new insights into epithelial morphogenesis
Published in
BMC Biology, December 2012
DOI 10.1186/1741-7007-10-105
Pubmed ID
Authors

Lance A Davidson

Abstract

The dramatic ingression of tissue sheets that accompanies many morphogenetic processes, most notably gastrulation, has been largely attributed to contractile circum-apical actomyosin 'purse-strings' in the infolding cells. Recent studies, however, including one in BMC Biology, expose mechanisms that rely less on actomyosin contractility of purse-string bundles and more on dynamics in the global cortical actomyosin network of the cells. These studies illustrate how punctuated actomyosin contractions and flow of these networks can remodel both epithelial and planarly organized mesenchymal sheets.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Brazil 1 2%
Unknown 54 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Researcher 13 23%
Student > Doctoral Student 5 9%
Other 5 9%
Student > Bachelor 4 7%
Other 11 20%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 39%
Biochemistry, Genetics and Molecular Biology 17 30%
Engineering 4 7%
Physics and Astronomy 3 5%
Neuroscience 3 5%
Other 3 5%
Unknown 4 7%