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Clofibrate-induced gene expression changes in rat liver: a cross-laboratory analysis using membrane cDNA arrays
Valerie A Baker1, Helen M Harries, Jeff F Waring
1Safety and Environmental Assurance Centre, Unilever Research Colworth, Sharnbrook, Bedfordshire, United Kingdom. val.baker@sanofi-synthelabo.com
Environmental Health Perspectives
|March 23, 2004
Summary
Microarray gene expression profiling effectively identifies toxic hazards using specific markers. This study confirmed clofibrate
Area of Science:
- Toxicology
- Genomics
- Molecular Biology
Background:
- Microarrays offer potential for identifying toxic hazards through mechanism-based toxicity markers.
- Assessing reliability and interlaboratory reproducibility of microarray data is crucial for risk assessment.
- The International Life Sciences Institute (ILSI) Health and Environmental Science Institute (HESI) Technical Committee investigated genomics in risk assessment.
Purpose of the Study:
- To investigate the biological response in rats to the hepatotoxin clofibrate using gene expression profiling.
- To determine the reliability and reproducibility of microarray data in a toxicological context.
- To identify mechanistically relevant markers of toxicity.
Main Methods:
- Rats were treated with clofibrate (high/low doses) for 1, 3, or 7 days in two laboratories.
- Clinical chemistry, histopathology, and cDNA microarray analysis were performed.
- Quantitative real-time polymerase chain reaction (qPCR) was used to validate gene expression changes.
Main Results:
- Gene expression changes in pathways related to fatty acid metabolism, cell proliferation, and oxidation were detected, consistent with clofibrate's hepatotoxicity mechanism.
- Gene expression levels correlated with the observed biological responses.
- High concordance was observed between pooled and individual RNA samples, though some variability in quantitative data was noted due to experimental and data analysis procedures.
Conclusions:
- Gene expression profiling using microarrays shows promise for identifying toxic hazards by detecting mechanistically relevant markers.
- The study highlights the potential of transcriptomics in mechanism-based risk assessment.
- Standardization of experimental and data analysis protocols is important for improving microarray data reproducibility.