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A gene-coexpression network for global discovery of conserved genetic modules
Joshua M Stuart1, Eran Segal, Daphne Koller
1Stanford Medical Informatics, 251 Campus Drive, Medical School Office Building X-215, Stanford, CA 94305-5329, USA.
Science (New York, N.Y.)
|August 23, 2003
Summary
Researchers identified conserved gene coexpression relationships across species, suggesting functional links and aiding in understanding gene function and biological processes like cell cycle and protein expression.
Area of Science:
- Genomics
- Computational Biology
- Evolutionary Biology
Background:
- Understanding gene function is crucial for biological research.
- Large-scale gene expression data offers opportunities to infer functional relationships.
Purpose of the Study:
- To identify and analyze conserved gene coexpression relationships across diverse species.
- To infer functional roles of genes, particularly novel ones, based on coexpression patterns.
Main Methods:
- Analyzed 3182 DNA microarrays from humans, flies, worms, and yeast.
- Identified pairs of coexpressed genes conserved across these species.
- Constructed a gene-coexpression network.
Main Results:
- Discovered 22,163 evolutionarily conserved coexpression relationships.
- These conserved links suggest functional relatedness and selective advantage.
- Identified new gene involvement in core biological functions (cell cycle, secretion, protein expression).
- Experimentally validated predictions and assigned functions like cell proliferation to several genes.
- The gene-coexpression network revealed animal-specific components and ancient-new module interrelationships.
Conclusions:
- Conserved gene coexpression is a strong indicator of functional gene relationships.
- This approach effectively predicts gene function and involvement in essential biological processes.
- The gene-coexpression network provides insights into evolutionary patterns of gene regulation and function.
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