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ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization.
Jian Sang1,2,3, Zhennan Wang3,4, Man Li1,2,3
1BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Nucleic Acids Research
|October 17, 2017
Summary
Selecting proper internal control genes is crucial for accurate gene expression analysis using real-time quantitative PCR (RT-qPCR). The ICG knowledgebase offers a community-curated resource for validated control genes across diverse species, aiding reliable RT-qPCR normalization.
Area of Science:
- Molecular Biology
- Bioinformatics
- Genomics
Background:
- Real-time quantitative PCR (RT-qPCR) is essential for accurate mRNA and ncRNA expression profiling.
- Appropriate internal control gene selection is critical for reliable RT-qPCR normalization.
- Existing databases primarily focus on model organisms like humans and mice.
Purpose of the Study:
- To introduce ICG, a wiki-driven knowledgebase for internal control genes.
- To facilitate community curation of experimentally validated internal control genes and their conditions.
- To provide a comprehensive resource for diverse species, including non-model organisms.
Main Methods:
- Development of a wiki-driven platform for community data integration.
- Collection and curation of validated internal control genes from various species.
- Integration of experimental conditions and recommended application scenarios.
Main Results:
- ICG integrates over 750 internal control genes for 73 animal, 115 plant, 12 fungal, and 9 bacterial species.
- Detailed information on recommended application scenarios for specific experimental conditions is provided.
- The knowledgebase is publicly editable and open-content.
Conclusions:
- ICG serves as a valuable encyclopaedia for internal control genes.
- The resource aids researchers in selecting appropriate internal control genes for reliable RT-qPCR normalization.
- ICG supports gene expression characterization in both model and non-model organisms.