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Drug target discovery by gene expression analysis: cell cycle genes
1Incyte Genomics and Department of Medicine, Stanford University, 1475 Flamingo Way, Sunnyvale, CA, USA. mwalker@stanfordalumni.org
Abstract:
Gene expression microarrays and gene expression databases provide new opportunities for the discovery of drug targets and for determination of a drug's mode of action. We review gene expression analysis methods and describe studies that have identified cell cycle genes using differential expression analysis and co-expression analysis. We present an example of the identification of previously-unrecognized human cell cycle genes, CDCA1 through CDCA8, that are co-expressed with known cell cycle genes including CDC2, CDC7, CDC23, cyclin, MCAK, mki67a, topoisomerase II, and others.
Insights
Gene expression analysis aids drug discovery by identifying novel cell cycle genes. This study highlights the discovery of CDCA1-CDCA8, co-expressed with known cell cycle regulators.
Area of Science:
- Genomics
- Molecular Biology
- Pharmacology
Background:
- Gene expression microarrays and databases offer novel avenues for drug target identification.
- Understanding drug mechanisms of action is crucial in pharmaceutical research.
Purpose of the Study:
- To review gene expression analysis methods for drug target discovery.
- To identify novel human cell cycle genes using expression data.
Main Methods:
- Differential gene expression analysis.
- Co-expression network analysis.
- Utilizing gene expression databases and microarrays.
Main Results:
- Identification of previously unrecognized human cell cycle genes (CDCA1-CDCA8).
- Demonstrated co-expression of these novel genes with known cell cycle genes (e.g., CDC2, CDC7, cyclin).
Conclusions:
- Gene expression analysis is a powerful tool for discovering novel drug targets.
- The identified CDCA genes represent potential targets for therapeutic intervention in cell cycle-related diseases.