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Expression genomics and cancer biology
1Executive Director, Genome Institute of Singapore, Genome #02-01, 60 Biopolis Street, Singapore 138672, Singapore. liue@gis.a-star.edu.sg
Pharmacogenomics
|December 9, 2004
Summary
Expression genomics analyzes gene transcription across the whole genome, revealing molecular hierarchies and enabling clinical tools for cancer prognosis and therapy monitoring. This comprehensive approach uncovers class distinctions and therapeutic targets.
Area of Science:
- Genomics and Molecular Biology
- Transcriptomics
- Bioinformatics
Background:
- Expression genomics investigates genome-wide transcription and gene regulation.
- Technologies like microarrays and SAGE analyze transcriptome components, including regulation, splicing, and expression levels.
Purpose of the Study:
- To review expression genomics technologies and their applications, particularly in cancer biology.
- To highlight the power of expression genomics in defining molecular hierarchies and clinical applications.
Main Methods:
- Focus on expression arrays, while also discussing other transcriptome-directed technologies.
- Utilizing a cell biological framework for context-driven analysis of the whole transcriptome.
- Employing multiple comparisons and pharmacological challenges to reveal fundamental biological truths.
Main Results:
- Expression genomics excels at defining class distinctions through gene clusters, uncovering molecular importance hierarchies.
- Cell lineage is the primary determinant of cellular expression, followed by biochemical pathways and individual genes.
- Expression profiling serves as a clinical tool for discerning prognostic and therapeutic classes.
Conclusions:
- Expression genomics is powerful for discovering candidate genes and defining molecular hierarchies.
- Gene lists derived from expression profiling can identify therapeutic targets and monitor treatment efficacy.
- Expression genomics provides a comprehensive framework for understanding biological systems and advancing clinical applications.
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