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CellLineNavigator: a workbench for cancer cell line analysis
Markus Krupp1, Timo Itzel, Thorsten Maass
1Department of Medicine I of the Johannes Gutenberg University Mainz, Langenbeck Strasse 1, 55131 Mainz, Germany.
Nucleic Acids Research
|November 3, 2012
Summary
The CellLineNavigator database offers a powerful web-based workbench for comparing cancer cell line genomics data. It supports experimental design in genomics and systems biology by providing access to gene expression profiles and advanced search functionalities.
Area of Science:
- Genomics
- Systems Biology
- Translational Biomedical Research
Background:
- Cell line data is crucial for understanding cancer biology and developing new therapies.
- Existing resources often lack comprehensive, integrated gene expression profiles for diverse cancer cell lines.
- Need for a centralized platform to facilitate large-scale cell line comparisons and experimental design.
Purpose of the Study:
- To introduce CellLineNavigator, a web-based workbench for large-scale cell line comparisons.
- To support experimental design in genomics, systems biology, and translational research.
- To provide access to genome-wide expression profiles of 317 cancer cell lines.
Main Methods:
- Developed a web-based workbench (CellLineNavigator) for comparative analysis of cell line data.
- Integrated genome-wide expression profiles for 317 cancer cell lines across 57 pathological states and 28 tissues.
- Linked the database to common bioinformatics resources and implemented intuitive querying interfaces.
Main Results:
- CellLineNavigator provides access to gene expression data for 317 cancer cell lines.
- Users can explore and filter gene expression based on pathological or physiological conditions.
- Advanced queries allow identification of differentially expressed genes, pathway analysis, and integration with DAVID.
Conclusions:
- CellLineNavigator serves as a valuable resource for researchers in genomics and systems biology.
- The platform facilitates experimental design by enabling comprehensive cell line data exploration.
- Integration with other databases enhances the utility for translational biomedical research.
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