↓ Skip to main content

The development of non-viral gene-activated matrices for bone regeneration using polyethyleneimine (PEI) and collagen-based scaffolds

Overview of attention for article published in Journal of Controlled Release, November 2011
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
91 Dimensions

Readers on

mendeley
87 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
The development of non-viral gene-activated matrices for bone regeneration using polyethyleneimine (PEI) and collagen-based scaffolds
Published in
Journal of Controlled Release, November 2011
DOI 10.1016/j.jconrel.2011.11.026
Pubmed ID
Authors

Erica G. Tierney, Garry P. Duffy, Alan J. Hibbitts, Sally-Ann Cryan, Fergal J. O'Brien

Abstract

The healing potential of scaffolds for tissue engineering can be enhanced by combining them with genes to produce gene-activated matrices (GAMs) for tissue regeneration. We examined the potential of using polyethyleneimine (PEI) as a vector for transfection of mesenchymal stem cells (MSCs) in monolayer culture and in 3D collagen-based GAMs. PEI-pDNA polyplexes were fabricated at a range of N/P ratios and their optimal transfection parameters (N/P 7 ratio, 2μg dose) and transfection efficiencies (30±8%) determined in monolayer culture. The polyplexes were then loaded onto collagen, collagen-glycosaminoglycan and collagen-nanohydroxyapatite scaffolds where gene expression was observed up to 21 days with a polyplex dose as low as 2μg. Transient expression profiles indicated that the GAMs act as a polyplex depot system whereby infiltrating cells become transfected over time as they migrate throughout the scaffold. The collagen-nHa GAM exhibited the most prolonged and elevated levels of transgene expression. This research has thus demonstrated that PEI is a highly efficient pDNA transfection agent for both MSC monolayer cultures and in the 3D GAM environment. By combining therapeutic gene therapy with highly engineered scaffolds, it is proposed that these GAMs might have immense capability to promote tissue regeneration.

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

Geographical breakdown

Country Count As %
Colombia 1 1%
Ireland 1 1%
Mexico 1 1%
Spain 1 1%
Poland 1 1%
Unknown 82 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 34%
Researcher 13 15%
Student > Master 12 14%
Professor 6 7%
Student > Bachelor 5 6%
Other 10 11%
Unknown 11 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 21%
Biochemistry, Genetics and Molecular Biology 14 16%
Medicine and Dentistry 12 14%
Engineering 12 14%
Materials Science 10 11%
Other 9 10%
Unknown 12 14%
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 10 December 2011.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from Journal of Controlled Release
#8,647
of 9,727 outputs
Outputs of similar age
#226,083
of 246,424 outputs
Outputs of similar age from Journal of Controlled Release
#82
of 92 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,727 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 1st percentile – i.e., 1% 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 246,424 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.