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Challenges in tissue engineering

Open access
Ikada, Yoshito·2006·Journal of The Royal Society Interface

Abstract

Almost 30 years have passed since a term ‘tissue engineering’ was created to represent a new concept that focuses on regeneration of neotissues from cells with the support of biomaterials and growth factors. This interdisciplinary engineering has attracted much attention as a new therapeutic means that may overcome the drawbacks involved in the current artificial organs and organ transplantation that have been also aiming at replacing lost or severely damaged tissues or organs. However, the tissues regenerated by this tissue engineering and widely applied to patients are still very limited, including skin, bone, cartilage, capillary and periodontal tissues. What are the reasons for such slow advances in clinical applications of tissue engineering? This article gives the brief overview on the current tissue engineering, covering the fundamentals and applications. The fundamentals of tissue engineering involve the cell sources, scaffolds for cell expansion and differentiation and carriers for growth factors. Animal and human trials are the major part of the applications. Based on these results, some critical problems to be resolved for the advances of tissue engineering are addressed from the engineering point of view, emphasizing the close collaboration between medical doctors and biomaterials scientists.

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Metadata

Authors
Ikada, Y.
Venue
Journal of The Royal Society Interface
Published
2006-04-18
Volume
3
Issue
10
Pages
589-601
ISSN
  • 1742-5662 (ISSN-L)
  • 1742-5689
OpenAlex
W2114406387
Cited by
919
References
0
FWCI
14.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Challenges in tissue engineering. https://app.cochat.ai/papers/10.1098/rsif.2006.0124
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Ikada, Y. (2006). Challenges in tissue engineering. Journal of The Royal Society Interface. https://doi.org/10.1098/rsif.2006.0124

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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.