Oseni, AO;
Butler, PE;
Seifalian, AM;
(2013)
Optimization of chondrocyte isolation and characterization for large-scale cartilage tissue engineering.
Journal of Surgical Research
, 181
(1)
41 - 48.
10.1016/j.jss.2012.05.087.
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Abstract
Advancements in cartilage tissue engineering have the potential to ameliorate facial and joint reconstructive surgery as we know it. The translation of in vitro models of cartilage regeneration into clinical scenarios is the next phase of cartilage tissue engineering research. To engineer larger, more robust, and clinical relevant constructs, a great number of viable chondrocytic cells are needed. However, there is a paucity of literature concerning the most favorable method of chondrocyte isolation. Isolation methods are inconsistent, resulting in small yields and poor cell quality, and thus unreliable neocartilage formation. This study aimed to optimize the chondrocyte isolation protocol to give a maximum yield with optimal cell viability for the engineering of large cartilaginous constructs such as the human nose and ear.
Type: | Article |
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Title: | Optimization of chondrocyte isolation and characterization for large-scale cartilage tissue engineering. |
Location: | US |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.jss.2012.05.087 |
Publisher version: | http://dx.doi.org/10.1016/j.jss.2012.05.087 |
Language: | English |
Additional information: | This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
Keywords: | Animals, Cell Count, Cell Separation, Chondrocytes, Collagenases, Fluorescent Antibody Technique, Humans, Male, Sheep, Tissue Engineering |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences |
URI: | https://discovery.ucl.ac.uk/id/eprint/1376586 |
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