Title |
Characteristics of Mesenchymal Stem Cells Originating from the Bilateral Inferior Turbinate in Humans with Nasal Septal Deviation
|
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Published in |
PLOS ONE, June 2014
|
DOI | 10.1371/journal.pone.0100219 |
Pubmed ID | |
Authors |
Se Hwan Hwang, Sun Hwa Park, Jin Choi, Dong Chang Lee, Jeong Hoon Oh, Sung Won Kim, Jin Bae Kim |
Abstract |
Nasal septal deviation (NSD) is often associated with overgrowth of the unilateral inferior turbinate. In vivo and in vitro studies indicate that human mesenchymal stem cells (MSCs) are able to differentiate into multiple cell types, including osteoblasts. We tested the hypothesis that turbinate size affects human turbinate-derived MSC (hTMSCs) quantity, proliferation, and differentiation into osteogenic lineages, and that hypertrophic turbinates may predispose to NSD on the contralateral side. |
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 % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 5% |
Unknown | 18 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 26% |
Researcher | 2 | 11% |
Student > Master | 2 | 11% |
Other | 1 | 5% |
Professor > Associate Professor | 1 | 5% |
Other | 1 | 5% |
Unknown | 7 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 21% |
Biochemistry, Genetics and Molecular Biology | 2 | 11% |
Chemical Engineering | 1 | 5% |
Agricultural and Biological Sciences | 1 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Other | 2 | 11% |
Unknown | 8 | 42% |