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A novel and universal method for microRNA RT-qPCR data normalization

Mestdagh, Pieter, Van Vlierberghe, Pieter, De Weer, An, Muth, Daniel, Westermann, Frank, Speleman, Frank, Vandesompele, Jo·2009·Genome Biology
DOI 10.1186/gb-2009-10-6-r64PMC PMC2718498
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Abstract

Gene expression analysis of microRNA molecules is becoming increasingly important. In this study we assess the use of the mean expression value of all expressed microRNAs in a given sample as a normalization factor for microRNA real-time quantitative PCR data and compare its performance to the currently adopted approach. We demonstrate that the mean expression value outperforms the current normalization strategy in terms of better reduction of technical variation and more accurate appreciation of biological changes.

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  • The global mean normalization method used in this dataset appeared to represent a best fit for the dataset after further validation on selected individual miRNAs.

    “The global mean normalization method [48] used in our dataset appeared to represent a best fit for the dataset after further validation on selected individual miRNAs.”

    From Expression of miR-15/107 Family MicroRNAs in Human Tissues and Cultured Rat Brain Cells (2014) · cites this paper as [48]

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Cited by

Sorted by citations

Authors
Mestdagh, P., Van Vlierberghe, P., De Weer, A., Muth, D., Westermann, F., Speleman, F., & Vandesompele, J.
Venue
Genome Biology
Publisher
Springer Science and Business Media LLC
Published
2009-06-16
Volume
10
Issue
6
ISSN
1474-760X
DOI
10.1186/gb-2009-10-6-r64
PMC
PMC2718498
Cited by
924
References
2
Language
en
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