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Evidence Based Selection of Housekeeping Genes

Overview of attention for article published in PLOS ONE, September 2007
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Title
Evidence Based Selection of Housekeeping Genes
Published in
PLOS ONE, September 2007
DOI 10.1371/journal.pone.0000898
Pubmed ID
Authors

Hendrik J. M. de Jonge, Rudolf S. N. Fehrmann, Eveline S. J. M. de Bont, Robert M. W. Hofstra, Frans Gerbens, Willem A. Kamps, Elisabeth G. E. de Vries, Ate G. J. van der Zee, Gerard J. te Meerman, Arja ter Elst

Abstract

For accurate and reliable gene expression analysis, normalization of gene expression data against housekeeping genes (reference or internal control genes) is required. It is known that commonly used housekeeping genes (e.g. ACTB, GAPDH, HPRT1, and B2M) vary considerably under different experimental conditions and therefore their use for normalization is limited. We performed a meta-analysis of 13,629 human gene array samples in order to identify the most stable expressed genes. Here we show novel candidate housekeeping genes (e.g. RPS13, RPL27, RPS20 and OAZ1) with enhanced stability among a multitude of different cell types and varying experimental conditions. None of the commonly used housekeeping genes were present in the top 50 of the most stable expressed genes. In addition, using 2,543 diverse mouse gene array samples we were able to confirm the enhanced stability of the candidate novel housekeeping genes in another mammalian species. Therefore, the identified novel candidate housekeeping genes seem to be the most appropriate choice for normalizing gene expression data.

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Geographical breakdown

Country Count As %
United States 14 2%
United Kingdom 9 1%
Czechia 4 <1%
Brazil 4 <1%
Germany 3 <1%
Japan 2 <1%
Austria 2 <1%
Chile 1 <1%
France 1 <1%
Other 13 2%
Unknown 770 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 197 24%
Researcher 190 23%
Student > Master 93 11%
Student > Bachelor 92 11%
Professor > Associate Professor 42 5%
Other 117 14%
Unknown 92 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 360 44%
Biochemistry, Genetics and Molecular Biology 143 17%
Medicine and Dentistry 101 12%
Engineering 17 2%
Immunology and Microbiology 13 2%
Other 86 10%
Unknown 103 13%