| Title |
Electrospun fiber membranes enable proliferation of genetically modified cells
|
|---|---|
| Published in |
International Journal of Nanomedicine, February 2013
|
| DOI | 10.2147/ijn.s40117 |
| Pubmed ID | |
| Authors |
Mandula Borjigin, Chris Eskridge, Rohina Niamat, Bryan Strouse, Pawel Bialk, Eric B Kmiec |
| Abstract |
Polycaprolactone (PCL) and its blended composites (chitosan, gelatin, and lecithin) are well-established biomaterials that can enrich cell growth and enable tissue engineering. However, their application in the recovery and proliferation of genetically modified cells has not been studied. In the study reported here, we fabricated PCL-biomaterial blended fiber membranes, characterized them using physicochemical techniques, and used them as templates for the growth of genetically modified HCT116-19 colon cancer cells. Our data show that the blended polymers are highly miscible and form homogenous electrospun fiber membranes of uniform texture. The aligned PCL nanofibers support robust cell growth, yielding a 2.5-fold higher proliferation rate than cells plated on standard plastic plate surfaces. PCL-lecithin fiber membranes yielded a 2.7-fold higher rate of proliferation, while PCL-chitosan supported a more modest growth rate (1.5-fold higher). Surprisingly, PCL-gelatin did not enhance cell proliferation when compared to the rate of cell growth on plastic surfaces. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 19% |
| Student > Master | 15 | 16% |
| Student > Bachelor | 11 | 12% |
| Researcher | 9 | 10% |
| Student > Doctoral Student | 6 | 6% |
| Other | 12 | 13% |
| Unknown | 22 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 18 | 19% |
| Agricultural and Biological Sciences | 11 | 12% |
| Engineering | 10 | 11% |
| Chemistry | 9 | 10% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Other | 11 | 12% |
| Unknown | 29 | 31% |
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 28 February 2013.
All research outputs
#20,823,121
of 25,584,565 outputs
Outputs from International Journal of Nanomedicine
#3,113
of 4,077 outputs
Outputs of similar age
#230,894
of 292,111 outputs
Outputs of similar age from International Journal of Nanomedicine
#52
of 66 outputs
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