The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.
Tissue Engineering of Ligaments
Abstract
▪ Abstract Tissue engineering is emerging as a significant clinical option to address tissue and organ failure by implanting biological substitutes for the compromised tissues. As compared to the transplantation of cells alone, engineered tissues offer the potential advantage of immediate functionality. Engineered tissues can also serve as physiologically relevant models for controlled studies of cells and tissues designed to distinguish the effects of specific signals from the complex milieu of factors present in vivo. A high number of ligament failures and the lack of adequate options to fully restore joint functions have prompted the need to develop new tissue engineering strategies. We discuss the requirements for ligament reconstruction, the available treatment options and their limitations, and then focus on the tissue engineering of ligaments. One representative tissue engineering system involving the integrated use of adult human stem cells, custom-designed scaffolds, and advanced bioreactors with dynamic loading is described.
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Metadata
- Authors
- Vunjak-Novakovic, G., Altman, G., Horan, R., & Kaplan, D. L.
- Venue
- Annual Review of Biomedical Engineering
- Publisher
- Annual Reviews
- Published
- 2004-08-15
- Volume
- 6
- Issue
- 1
- Pages
- 131-156
- ISSN
- 1523-9829 (ISSN-L)
- 1545-4274
- OpenAlex
- W2123349384
- Cited by
- 346
- References
- 112
- FWCI
- 2.14
- Type
- journal article
- Language
- en
- Open access
- closed
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- Vunjak-Novakovic, G., Altman, G., Horan, R., & Kaplan, D. L. (2004). Tissue Engineering of Ligaments. Annual Review of Biomedical Engineering. https://doi.org/10.1146/annurev.bioeng.6.040803.140037
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
