The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.
Biomaterial technology for tissue engineering applications
Open accessAbstract
Tissue engineering is a newly emerging biomedical technology and methodology to assist and accelerate the regeneration and repairing of defective and damaged tissues based on the natural healing potentials of patients themselves. For the new therapeutic strategy, it is indispensable to provide cells with a local environment that enhances and regulates their proliferation and differentiation for cell-based tissue regeneration. Biomaterial technology plays an important role in the creation of this cell environment. For example, the biomaterial scaffolds and the drug delivery system (DDS) of biosignalling molecules have been investigated to enhance the proliferation and differentiation of cell potential for tissue regeneration. In addition, the scaffold and DDS technologies contribute to develop the basic research of stem cell biology and medicine as well as obtain a large number of cells with a high quality for cell transplantation therapy. A technology to genetically engineer cells for their functional manipulation is also useful for cell research and therapy. Several examples of tissue engineering applications with the cell scaffold and DDS of growth factors and genes are introduced to emphasize the significance of biomaterial technology in new therapeutic and research fields.
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Cites
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Cited by
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Adipose-derived stem cells: Sources, potency, and implications for regenerative therapies
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Metadata
- Authors
- Tabata, Y.
- Venue
- Journal of The Royal Society Interface
- Publisher
- The Royal Society
- Published
- 2009-03-04
- Volume
- 6
- Issue
- suppl_3
- Pages
- S311-24
- ISSN
- 1742-5662 (ISSN-L)
- 1742-5689
- OpenAlex
- W2164397416
- Cited by
- 384
- References
- 79
- FWCI
- 23.37
- Type
- journal article
- Language
- en
- Open access
- green
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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.