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Oncopression: gene expression compendium for cancer with matched normal tissues.
Jungsul Lee1,2, Chulhee Choi1,2
1Department of Bio and Brain Engineering, KAIST, Daejeon 34141, Korea.
Bioinformatics (Oxford, England)
|September 9, 2017
Summary
Oncopression integrates diverse gene expression datasets, providing a comprehensive resource for cancer research. This unified database facilitates the identification of cancer-specific genes by enabling direct comparison with normal tissue profiles.
Area of Science:
- Bioinformatics
- Genomics
- Cancer Research
Background:
- Normal tissue expression profiles are crucial for identifying cancer-specific gene expression patterns.
- Public gene expression repositories have limited and scattered normal control samples compared to cancer samples.
Purpose of the Study:
- To develop a unified, comprehensive database of human cancer and normal tissue gene expression profiles.
- To facilitate the identification of cancer-specific genes through integrated data analysis.
Main Methods:
- Integration of multiple gene expression datasets into a single large dataset.
- Utilized immunohistochemical staining and principal component analysis to validate data integration.
- Developed the Oncopression database for comprehensive analysis of 25 human cancer types.
Main Results:
- Created Oncopression, integrating 20,640 cancer samples and 6,801 normal control profiles.
- Enabled direct comparison of cancer expression profiles with matched normal tissue counterparts.
- Successfully utilized a pre-release version of Oncopression in studies to identify cancer-specific genes.
Conclusions:
- Oncopression provides a valuable, integrated resource for cancer gene expression research.
- The database supports comprehensive analysis and identification of cancer-specific genes.
- Oncopression is freely accessible for research purposes.
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