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Silk Film Topography Directs Collective Epithelial Cell Migration

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

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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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 November 2012.
All research outputs
#18,321,703
of 22,687,320 outputs
Outputs from PLOS ONE
#153,900
of 193,653 outputs
Outputs of similar age
#214,145
of 275,937 outputs
Outputs of similar age from PLOS ONE
#3,419
of 4,682 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,653 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 275,937 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,682 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.