Application of functional genomics to the chimeric mouse model of HCV infection: optimization of microarray protocols and genomics analysis
2006

Studying Hepatitis C in Chimeric Mice

publication Evidence: moderate

Author Information

Author(s): Kathie-Anne Walters, Michael A Joyce, Jill C Thompson, Sean Proll, James Wallace, Maria W Smith, Jeff Furlong, D Lorne Tyrrell, Michael G Katze

Primary Institution: University of Washington

Hypothesis

Can functional genomics be effectively applied to study HCV infection in chimeric mouse models?

Conclusion

The study shows that functional genomics can be applied to the chimeric SCID-beige/Alb-uPA mouse model of HCV infection, allowing for the identification of genes affected by cross-hybridization.

Supporting Evidence

  • The study identified approximately 300 genes affected by mouse liver mRNA hybridization.
  • Increasing the hybridization temperature reduced the number of affected genes.
  • Real Time quantitative RT-PCR confirmed the expression levels of known cross-hybridizing genes.

Takeaway

Researchers found a way to study how human genes behave in mice that have human liver cells, which helps understand hepatitis C better.

Methodology

The study involved using microarray experiments to analyze gene expression in chimeric mouse livers with human hepatocytes.

Potential Biases

Potential bias due to the variability in the percentage of human tissue in liver samples.

Limitations

The study primarily focused on a limited number of genes and may not account for all potential cross-hybridization effects.

Participant Demographics

Chimeric SCID-beige/Alb-uPA mice with transplanted human hepatocytes.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1743-422X-3-37

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