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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.
Afiliación
  • Sang J; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  • Wang Z; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  • Li M; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Cao J; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Niu G; State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
  • Xia L; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  • Zou D; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  • Wang F; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Xu X; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  • Han X; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  • Fan J; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Yang Y; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  • Zuo W; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  • Zhang Y; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Zhao W; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  • Bao Y; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  • Xiao J; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Hu S; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  • Hao L; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  • Zhang Z; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Nucleic Acids Res ; 46(D1): D121-D126, 2018 01 04.
Article en En | MEDLINE | ID: mdl-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.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Genes Esenciales / Bases de Datos de Ácidos Nucleicos / Bases del Conocimiento / Reacción en Cadena en Tiempo Real de la Polimerasa Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Año: 2018 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Genes Esenciales / Bases de Datos de Ácidos Nucleicos / Bases del Conocimiento / Reacción en Cadena en Tiempo Real de la Polimerasa Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Año: 2018 Tipo del documento: Article País de afiliación: China