Evidence map›Paper›PMID 29036693›Full record

ArticleNucleic acids research2018

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

Jian Sang, Zhennan Wang, Man Li, Jiabao Cao, Guangyi Niu, Lin Xia, Dong Zou, Fan Wang, Xingjian Xu, Xiaojiao Han and 10 more

Abstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed.

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  16. Stepwise Optimization of Real-Time RT-PCR Analysis.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  17. Article
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  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Jian SangBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Zhennan WangUniversity of Chinese Academy of Sciences, Beijing 100049, China.
Man LiBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Jiabao CaoBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Guangyi NiuBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Lin XiaBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Dong ZouBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Fan WangBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Xingjian XuBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Xiaojiao HanKey Laboratory of Tree Genomics, The Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou 311400, China.
Jinqi FanSchool of Ocean, Yantai University, Yantai 264005, China.
Ye YangSchool of Life Sciences, Zhengzhou University, Zhengzhou 450001, China.
Wanzhu ZuoSchool of Life Sciences, Zhengzhou University, Zhengzhou 450001, China.
Yang ZhangBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Wenming ZhaoBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Yiming BaoBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Jingfa XiaoBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Songnian HuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Lili HaoBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Zhang ZhangBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Databases, Nucleic AcidGenes, EssentialKnowledge BasesReal-Time Polymerase Chain ReactionAnimalsGene Expression ProfilingHumansMiceRNA, UntranslatedRNA, Untranslated

Identifiers

PMID29036693
PMCPMC5753184

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.