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Developing zebrafish disease models for in vivo small molecule screens.

08:00 EDT 28th March 2019 | BioPortfolio

Summary of "Developing zebrafish disease models for in vivo small molecule screens."

The zebrafish is a model organism that allows in vivo studies to be performed at a scale usually restricted to in vitro studies. As such, the zebrafish is well suited to in vivo screens, in which thousands of small molecules are tested for their ability to modify disease phenotypes in zebrafish disease models. Numerous approaches have been developed for modeling human diseases in zebrafish, including mutagenesis, transgenesis, pharmacological approaches, wounding, and exposure to infectious or cancerous agents. We review the various strategies for modeling human diseases in zebrafish and discuss important considerations when developing zebrafish models for use in in vivo small molecule screens.

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Journal Details

This article was published in the following journal.

Name: Current opinion in chemical biology
ISSN: 1879-0402
Pages: 37-44

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Medical and Biotech [MESH] Definitions

Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.

Proteins obtained from the ZEBRAFISH. Many of the proteins in this species have been the subject of studies involving basic embryological development (EMBRYOLOGY).

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Part of a MESSENGER RNA molecule that undergoes a conformation change upon binding a specific metabolite or other small molecule thereby regulating the messenger RNA's transcription, post-transcriptional processing, transport, translation, or stability in response to varying levels of the metabolite or other small molecule.

Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor.

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