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Cited by 464

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Functional Human Corneal Equivalents Constructed from Cell Lines

Griffith, May, Osborne, Rosemarie, Munger, Rejean, Xiong, Xiaojuan, Doillon, Charles J., Laycock, Noelani L. C., Hakim, Malik, Song, Ying, Watsky, Mitchell A.·1999·Science

Abstract

Human corneal equivalents comprising the three main layers of the cornea (epithelium, stroma, and endothelium) were constructed. Each cellular layer was fabricated from immortalized human corneal cells that were screened for use on the basis of morphological, biochemical, and electrophysiological similarity to their natural counterparts. The resulting corneal equivalents mimicked human corneas in key physical and physiological functions, including morphology, biochemical marker expression, transparency, ion and fluid transport, and gene expression. Morphological and functional equivalents to human corneas that can be produced in vitro have immediate applications in toxicity and drug efficacy testing, and form the basis for future development of implantable tissues.

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Crossref · 10.1126/science.286.5447.2169

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Metadata

Authors
Griffith, M., Osborne, R., Munger, R., Xiong, X., Doillon, C. J., Laycock, N. L. C., Hakim, M., Song, Y., & Watsky, M. A.
Venue
Science
Published
1999-12-10
Volume
286
Issue
5447
Pages
2169-2172
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1981013532
Cited by
464
References
0
FWCI
10.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Functional Human Corneal Equivalents Constructed from Cell Lines. https://app.cochat.ai/papers/10.1126/science.286.5447.2169
The paper
Griffith, M., Osborne, R., Munger, R., Xiong, X., Doillon, C. J., Laycock, N. L. C., Hakim, M., Song, Y., & Watsky, M. A. (1999). Functional Human Corneal Equivalents Constructed from Cell Lines. Science. https://doi.org/10.1126/science.286.5447.2169

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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.