| URL: | https://ngdc.cncb.ac.cn/icg |
| Full name: | A knowledgebase of Internal Control Genes for RT-qPCR normalization |
| Description: | ICG is a wiki-based knowledgebase of internal control genes (or reference genes) for RT-qPCR normalization in a variety of species. Based on community curation, ICG harnesses collective intelligence to integrate a comprehensive collection of internal control genes curated from a large volume of literatures and provides appropriate internal control genes corresponding to specific experimental conditions for both model and non-model organisms. |
| Year founded: | 2018 |
| Last update: | 2022-06-28 |
| Version: | 2.0 |
| Accessibility: |
Manual:
Accessible
|
| Country/Region: | China |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: | |
| Keywords: |
| University/Institution: | Beijing Institute of Genomics, Chinese Academy of Sciences |
| Address: | 1 Beichen West Road, Chaoyang District, Beijing 100101, China |
| City: | Beijing |
| Province/State: | Beijing |
| Country/Region: | China |
| Contact name (PI/Team): | Zhang Zhang |
| Contact email (PI/Helpdesk): | zhangzhang@big.ac.cn |
|
ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization. [PMID: 29036693]
Real-time quantitative PCR (RT-qPCR) has become a widely used method for accurate expression profiling of targeted mRNA and ncRNA. Selection of appropriate internal control genes for RT-qPCR normalization is an elementary prerequisite for reliable expression measurement. Here, we present ICG (http://icg.big.ac.cn), a wiki-driven knowledgebase for community curation of experimentally validated internal control genes as well as their associated experimental conditions. Unlike extant related databases that focus on qPCR primers in model organisms (mainly human and mouse), ICG features harnessing collective intelligence in community integration of internal control genes for a variety of species. Specifically, it integrates a comprehensive collection of more than 750 internal control genes for 73 animals, 115 plants, 12 fungi and 9 bacteria, and incorporates detailed information on recommended application scenarios corresponding to specific experimental conditions, which, collectively, are of great help for researchers to adopt appropriate internal control genes for their own experiments. Taken together, ICG serves as a publicly editable and open-content encyclopaedia of internal control genes and accordingly bears broad utility for reliable RT-qPCR normalization and gene expression characterization in both model and non-model organisms. ? The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. |