Dataset

Data to: Evidence Based Selection of Housekeeping Genes

de Jonge, H. (Creator), Fehrmann, R. (Creator), de Bont, E. (Creator), Hofstra, R. M. W. (Creator), Gerbens, F. (Creator), Kamps, W. (Creator), Vries, de, E. G. E. (Creator), Zee, van der, A. (Creator), te Meerman, G. (Creator), Elst, ter, A. (Creator), University of Groningen, 19-Sep-2007

Dataset

Description

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.
Date made available19-Sep-2007
PublisherUniversity of Groningen
Access to the dataset Open
Contact researchdata@rug.nl

    Keywords on Datasets

  • Cell biology, Genetics, Biological sciences, Genes, Housekeeping, gene expression analysis
Related Publications
  1. Evidence based selection of housekeeping genes

    de Jonge, H. J. M., Fehrmann, R. S. N., de Bont, E. S. J. M., Hofstra, R. M. W., Gerbens, F., Kamps, W. A., de Vries, E. G. E., van der Zee, A. G. J., te Meerman, G. J. & ter Elst, A., 19-Sep-2007, In : PLoS ONE. 2, 9, 5 p., 898.

    Research output: Contribution to journalArticleAcademicpeer-review

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ID: 67343313