Zebrafish Whole-Adult-Organism Chemogenomics for Large-Scale Predictive and Discovery Chemical Biology
2008

Zebrafish Chemogenomics for Predictive Chemical Biology

Sample size: 159 publication 10 minutes Evidence: high

Author Information

Author(s): Lam Siew Hong, Mathavan Sinnakarupan, Tong Yan, Li Haixia, Karuturi R. Krishna Murthy, Wu Yilian, Vega Vinsensius B., Liu Edison T., Gong Zhiyuan

Primary Institution: National University of Singapore

Hypothesis

Can whole adult zebrafish be used for large-scale expression-based chemogenomics to predict chemical effects?

Conclusion

The study demonstrates that zebrafish can effectively be used for predictive chemical biology and biomarker discovery.

Supporting Evidence

  • The zebrafish model allows for cost-effective, large-scale gene expression analysis.
  • Robust prediction models were generated to classify chemical effects.
  • Biomarkers for chemical exposure were identified across multiple tissues.
  • Zebrafish responses to chemicals were similar to those observed in mammals.
  • Significant associations were found between chemical exposure and human health risks.
  • Zebrafish can bridge the gap between in vitro and rodent models in toxicology.
  • High-throughput applications were demonstrated using zebrafish chemogenomics.
  • Findings support the use of zebrafish in preclinical drug discovery.

Takeaway

Scientists used zebrafish to see how chemicals affect their genes, helping to find out if those chemicals could be harmful to humans.

Methodology

The study involved exposing zebrafish to various chemicals and analyzing gene expression changes using microarray technology.

Potential Biases

Potential biases may arise from variations in experimental conditions across different batches of zebrafish.

Limitations

The study may miss weak signals or specific tissue responses due to the whole-organism approach.

Participant Demographics

Adult male zebrafish were used in the experiments.

Statistical Information

P-Value

8.35×10−9 to 4.89×10−7

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pgen.1000121

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