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ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization

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:/...

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Detalles Bibliográficos
Autores principales: Sang, Jian, Wang, Zhennan, Li, Man, Cao, Jiabao, Niu, Guangyi, Xia, Lin, Zou, Dong, Wang, Fan, Xu, Xingjian, Han, Xiaojiao, Fan, Jinqi, Yang, Ye, Zuo, Wanzhu, Zhang, Yang, Zhao, Wenming, Bao, Yiming, Xiao, Jingfa, Hu, Songnian, Hao, Lili, Zhang, Zhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753184/
https://www.ncbi.nlm.nih.gov/pubmed/29036693
http://dx.doi.org/10.1093/nar/gkx875
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author Sang, Jian
Wang, Zhennan
Li, Man
Cao, Jiabao
Niu, Guangyi
Xia, Lin
Zou, Dong
Wang, Fan
Xu, Xingjian
Han, Xiaojiao
Fan, Jinqi
Yang, Ye
Zuo, Wanzhu
Zhang, Yang
Zhao, Wenming
Bao, Yiming
Xiao, Jingfa
Hu, Songnian
Hao, Lili
Zhang, Zhang
author_facet Sang, Jian
Wang, Zhennan
Li, Man
Cao, Jiabao
Niu, Guangyi
Xia, Lin
Zou, Dong
Wang, Fan
Xu, Xingjian
Han, Xiaojiao
Fan, Jinqi
Yang, Ye
Zuo, Wanzhu
Zhang, Yang
Zhao, Wenming
Bao, Yiming
Xiao, Jingfa
Hu, Songnian
Hao, Lili
Zhang, Zhang
author_sort Sang, Jian
collection PubMed
description 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.
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spelling pubmed-57531842018-01-05 ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization Sang, Jian Wang, Zhennan Li, Man Cao, Jiabao Niu, Guangyi Xia, Lin Zou, Dong Wang, Fan Xu, Xingjian Han, Xiaojiao Fan, Jinqi Yang, Ye Zuo, Wanzhu Zhang, Yang Zhao, Wenming Bao, Yiming Xiao, Jingfa Hu, Songnian Hao, Lili Zhang, Zhang Nucleic Acids Res Database Issue 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. Oxford University Press 2018-01-04 2017-10-03 /pmc/articles/PMC5753184/ /pubmed/29036693 http://dx.doi.org/10.1093/nar/gkx875 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Sang, Jian
Wang, Zhennan
Li, Man
Cao, Jiabao
Niu, Guangyi
Xia, Lin
Zou, Dong
Wang, Fan
Xu, Xingjian
Han, Xiaojiao
Fan, Jinqi
Yang, Ye
Zuo, Wanzhu
Zhang, Yang
Zhao, Wenming
Bao, Yiming
Xiao, Jingfa
Hu, Songnian
Hao, Lili
Zhang, Zhang
ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization
title ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization
title_full ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization
title_fullStr ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization
title_full_unstemmed ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization
title_short ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization
title_sort icg: a wiki-driven knowledgebase of internal control genes for rt-qpcr normalization
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753184/
https://www.ncbi.nlm.nih.gov/pubmed/29036693
http://dx.doi.org/10.1093/nar/gkx875
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