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Patterned polymer matrix promotes stemness and cell-cell interaction of adult stem cells

Overview of attention for article published in Journal of Biological Engineering, October 2015
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Patterned polymer matrix promotes stemness and cell-cell interaction of adult stem cells
Published in
Journal of Biological Engineering, October 2015
DOI 10.1186/s13036-015-0016-x
Pubmed ID
Authors

Lucas H. Hofmeister, Lino Costa, Daniel A. Balikov, Spencer W. Crowder, Alexander Terekhov, Hak-Joon Sung, William H. Hofmeister

Abstract

The interaction of stem cells with their culture substrates is critical in controlling their fate and function. Declining stemness of adult-derived human mesenchymal stem cells (hMSCs) during in vitro expansion on tissue culture polystyrene (TCPS) severely limits their therapeutic efficacy prior to cell transplantation into damaged tissues. Thus, various formats of natural and synthetic materials have been manipulated in attempts to reproduce in vivo matrix environments in which hMSCs reside. We developed a series of patterned polymer matrices for cell culture by hot-pressing poly(ε-caprolactone) (PCL) films in femtosecond laser-ablated nanopore molds, forming nanofibers on flat PCL substrates. hMSCs cultured on these PCL fiber matrices significantly increased expression of critical self-renewal factors, Nanog and OCT4A, as well as markers of cell-cell interaction PECAM and ITGA2. The results suggest the patterned polymer fiber matrix is a promising model to maintain the stemness of adult hMSCs. This approach meets the need for scalable, highly repeatable, and tuneable models that mimic extracellular matrix features that signal for maintenance of hMSC stemness.

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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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 32%
Student > Master 4 16%
Student > Doctoral Student 3 12%
Researcher 2 8%
Professor > Associate Professor 2 8%
Other 3 12%
Unknown 3 12%
Readers by discipline Count As %
Engineering 8 32%
Agricultural and Biological Sciences 4 16%
Medicine and Dentistry 2 8%
Computer Science 1 4%
Psychology 1 4%
Other 5 20%
Unknown 4 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 03 October 2019.
All research outputs
#6,426,255
of 22,830,751 outputs
Outputs from Journal of Biological Engineering
#101
of 260 outputs
Outputs of similar age
#79,335
of 279,097 outputs
Outputs of similar age from Journal of Biological Engineering
#2
of 9 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 260 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 279,097 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.