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Cited by 467

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Zebrafish: An Emerging Model System for Human Disease and Drug Discovery

Kari, G, Rodeck, U, Dicker, A P·2007·Clinical Pharmacology & Therapeutics

Abstract

In vivo studies represent an essential step in drug development and currently rely largely on mice, yet limitations of mammalian models motivated the search for complementary vertebrate model systems. This review focuses on zebrafish, Danio rerio, as a facile model system to study human disease and drug responses. Zebrafish are particularly suited for this purpose because they represent a vertebrate species, their genome is sequenced, and a large number of synchronously developing, transparent embryos can be produced. Zebrafish embryos are permeable to drugs and can easily be manipulated using well-established genetic and molecular approaches. Here, we summarize recent work on drug discovery and toxicity in zebrafish embryos. In addition, we provide a synopsis of current efforts to establish disease models in zebrafish focusing on neoplasia. The results of these studies highlight the potential of zebrafish as a viable addition to established animal models by offering medium and, potentially, high throughput capabilities.

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Crossref · 10.1038/sj.clpt.6100223

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Metadata

Authors
Kari, G., Rodeck, U., & Dicker, A. P.
Venue
Clinical Pharmacology & Therapeutics
Publisher
Wiley
Published
2007-05-09
Volume
82
Issue
1
Pages
70-80
ISSN
  • 0009-9236 (ISSN-L)
  • 1532-6535
OpenAlex
W2040674242
Cited by
467
References
1
FWCI
7.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Zebrafish: An Emerging Model System for Human Disease and Drug Discovery. https://app.cochat.ai/papers/10.1038/sj.clpt.6100223
The paper
Kari, G., Rodeck, U., & Dicker, A. P. (2007). Zebrafish: An Emerging Model System for Human Disease and Drug Discovery. Clinical Pharmacology & Therapeutics. https://doi.org/10.1038/sj.clpt.6100223

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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.