↓ Skip to main content

PLOS

Silk Film Topography Directs Collective Epithelial Cell Migration

Overview of attention for article published in PLOS ONE, November 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
59 Mendeley
Title
Silk Film Topography Directs Collective Epithelial Cell Migration
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050190
Pubmed ID
Authors

Brian D. Lawrence, Zhi Pan, Mark I. Rosenblatt

Abstract

The following study provides new insight into how surface topography dictates directed collective epithelial cell sheet growth through the guidance of individual cell movement. Collective cell behavior of migrating human corneal limbal-epithelial cell sheets were studied on highly biocompatible flat and micro-patterned silk film surfaces. The silk film edge topography guided the migratory direction of individual cells making up the collective epithelial sheet, which resulted in a 75% increase in total culture elongation. This was due to a 3-fold decrease in cell sheet migration rate efficiency for movement perpendicular to the topography edge. Individual cell migration direction is preferred in the parallel approach to the edge topography where localization of cytoskeletal proteins to the topography's edge region is reduced, which results in the directed growth of the collective epithelial sheet. Findings indicate customized biomaterial surfaces may be created to direct both the migration rate and direction of tissue epithelialization.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 7%
Unknown 55 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Student > Bachelor 8 14%
Professor 5 8%
Researcher 5 8%
Student > Master 5 8%
Other 12 20%
Unknown 9 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 29%
Biochemistry, Genetics and Molecular Biology 10 17%
Physics and Astronomy 5 8%
Engineering 4 7%
Materials Science 3 5%
Other 8 14%
Unknown 12 20%