Grogan, Shawn Patrick; Barbero, Andrea; Winkelmann, Verena; Rieser, Franz; Fitzsimmons, James S; O'Driscoll, Shawn; Martin, Ivan; Mainil-Varlet, Pierre (2006). Visual histological grading system for the evaluation of in vitro-generated neocartilage. Tissue engineering, 12(8), pp. 2141-9. Larchmont, N.Y.: Mary Ann Liebert 10.1089/ten.2006.12.2141
Full text not available from this repository. (Request a copy)Here we present the development of a visual evaluation system for routine assessment of in vitro-engineered cartilaginous tissue. Neocartilage was produced by culturing human articular chondrocytes in pellet culture systems or in a scaffold-free bioreactor system. All engineered tissues were embedded in paraffin and were sectioned and stained with Safranin O-fast green. The evaluation of each sample was broken into 3 categories (uniformity and intensity of Safranin O stain, distance between cells/amount of matrix produced, and cell morphology), and each category had 4 components with a score ranging from 0 to 3. Three observers evaluated each sample, and the new system was independently tested against an objective computer-based histomorphometry system. Pellets were also assessed biochemically for glycosaminoglycan (GAG) content. Pellet histology scores correlated significantly with GAG contents and were in agreement with the computer-based histomorphometry system. This system allows a valid and rapid assessment of in vitro-generated cartilaginous tissue that has a relevant association with objective parameters indicative of cartilage quality.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Service Sector > Institute of Pathology |
UniBE Contributor: |
Grogan, Shawn, Winkelmann Hirschi, Verena, Mainil, Pierre |
ISSN: |
1076-3279 |
ISBN: |
16968155 |
Publisher: |
Mary Ann Liebert |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:48 |
Last Modified: |
05 Dec 2022 14:14 |
Publisher DOI: |
10.1089/ten.2006.12.2141 |
PubMed ID: |
16968155 |
Web of Science ID: |
000240345800009 |
URI: |
https://boris.unibe.ch/id/eprint/19922 (FactScience: 2999) |
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