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Related Experiment Videos

Microarray data analysis of mouse neoplasia.

David E Malarkey1, Joel S Parker, Coral A Turman

  • 1Laboratory of Experimental Pathology, Research Triangle Park, North Carolina 27709, USA. malarkey@niehs.nih.gov

Toxicologic Pathology
|April 5, 2005
PubMed
Summary
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Microarray gene expression analysis is advancing our understanding of tumor biology by identifying key molecular events in experimental carcinogenesis. This technology is proving valuable for cancer research, biomarker discovery, and understanding human cancer overlaps.

Area of Science:

  • Oncology
  • Toxicology
  • Molecular Biology

Background:

  • Microarray gene expression analysis holds significant promise for elucidating molecular events in experimental carcinogenesis.
  • Recent studies have begun to fulfill this promise, advancing the understanding of tumor biology.

Purpose of the Study:

  • To review the fulfillment of promises in microarray gene expression analysis for understanding experimental carcinogenesis.
  • To highlight the application of gene array data in advancing tumor biology research.

Main Methods:

  • Analysis of gene expression profiles from rodent tumor studies (lung, mammary, liver, colon).
  • Application of gene array data analysis methods for gene discovery in chemically induced tumors.
  • Review of data from mouse lung, mammary gland, and liver tumor studies.

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Main Results:

  • Identification of differentially expressed genes in various rodent tumors.
  • Generation of information to identify histologic signatures, understand metastasis, and discover biomarkers.
  • Discovery of genes involved in the regression of mouse liver tumors induced by chlordane.

Conclusions:

  • Microarray gene expression analysis is actively furthering the understanding of tumor biology and carcinogenesis.
  • Collaborative efforts are driving progress in the design, analysis, and interpretation of microarray data for cancer studies.
  • The technology aids in deciphering molecular events in cancer and their overlap with human cancers.