Absolute quantification of microRNAs by using a universal reference

  1. Ute Bissels1,
  2. Stefan Wild1,
  3. Stefan Tomiuk1,
  4. Angela Holste1,
  5. Markus Hafner2,
  6. Thomas Tuschl2 and
  7. Andreas Bosio1
  1. 1Miltenyi Biotec GmbH, 51429 Bergisch Gladbach, Germany
  2. 2Howard Hughes Medical Institute, Laboratory of RNA Molecular Biology, Rockefeller University, New York, New York 10065, USA

    Abstract

    MicroRNAs (miRNAs) are a species of small RNAs ∼21–23-nucleotides long that have been shown to play an important role in many different cellular, developmental, and physiological processes. Accordingly, numerous PCR-, sequencing-, or hybridization-based methods have been established to identify and quantify miRNAs. Their short length results in a high dynamic range of melting temperatures and therefore impedes a proper selection of detection probes or optimized PCR primers. While miRNA microarrays allow for massive parallel and accurate relative measurement of all known miRNAs, they have so far been less useful as an assay for absolute quantification. Here, we present a microarray-based approach for global and absolute quantification of miRNAs. The method relies on the parallel hybridization of the sample of interest labeled with Cy5 and a universal reference of 954 synthetic miRNAs in equimolar concentrations that are labeled with Cy3 on a microarray slide containing probes for all human, mouse, rat, and viral miRNAs (miRBase 12.0). Each single miRNA is quantified with respect to the universal reference canceling biases related to sequence, labeling, or hybridization. We demonstrate the accuracy of the method by various spike-in experiments. Furthermore, we quantified miRNA copy numbers in liver samples and CD34(+)/CD133(−) hematopoietic progenitor cells.

    Keywords:

    Keywords

    Footnotes

    • Reprint requests to: Andreas Bosio, Miltenyi Biotec GmbH, Friedrich-Ebert-Straße 68, 51429 Bergisch Gladbach, Germany; e-mail: andreas.bosio{at}miltenyibiotec.de; fax: 49-2204-8307.

    • Article published online ahead of print. Article and publication date are at http://www.rnajournal.org/cgi/doi/10.1261/rna.1754109.

      • Received June 10, 2009.
      • Accepted September 3, 2009.
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