Peer-reviewed veterinary case report
Microarrays in veterinary diagnostics.
- Journal:
- Animal health research reviews
- Year:
- 2004
- Authors:
- Feilotter, Harriet E
- Affiliation:
- Department of Pathology and Molecular Medicine · Canada
Plain-English summary
Microarrays are advanced tools that can help diagnose diseases in animals, similar to how they are used in humans. They allow veterinarians to analyze a lot of genetic information quickly, which can lead to better tests for diagnosing and predicting the course of diseases, as well as finding new treatment options. Although there is less research funding for animal health compared to human health, there is a growing recognition of how useful this technology can be in understanding and treating animal illnesses. This review explains the basics of how microarrays work and their potential applications in veterinary medicine. Overall, the use of microarrays in veterinary diagnostics shows promise for improving animal healthcare.
Abstract
Microarrays have numerous applications in the clinical setting, and these uses are not confined to the study of common human diseases. Indeed, the high-throughput technology affects clinical diagnostics in a variety of contexts, and this is reflected in the increasing use of microarray-based tools in the development of diagnostic and prognostic tests and in the identification of novel therapeutic targets. While much of the value of microarray-based experimentation has been derived from the study of human disease, there is equivalent potential for its role in veterinary medicine. Even though the resources devoted to the study of animal molecular diagnostics may be less than those available for human research, there is nonetheless a growing appreciation of the value of genome-wide information as it applies to animal disease. Therefore, this review focuses on the basics of microarray experimentation, and how this technology lends itself to a variety of diagnostic approaches in veterinary medicine.
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Search related cases →Original publication: https://pubmed.ncbi.nlm.nih.gov/15984334/