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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-06

AUTHORS

Pieter Mestdagh, Pieter Van Vlierberghe, An De Weer, Daniel Muth, Frank Westermann, Frank Speleman, Jo Vandesompele

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. More... »

PAGES

r64

References to SciGraph publications

  • 2005-06. c-Myc-regulated microRNAs modulate E2F1 expression in NATURE
  • 2004-10. A custom microarray platform for analysis of microRNA gene expression in NATURE METHODS
  • 2008-02. miChip: an array-based method for microRNA expression profiling using locked nucleic acid capture probes in NATURE PROTOCOLS
  • 2005-06. A microRNA polycistron as a potential human oncogene in NATURE
  • 2008-10. Distinct transcriptional MYCN/c-MYC activities are associated with spontaneous regression or malignant progression in neuroblastomas in GENOME BIOLOGY
  • 2008-01. Widespread microRNA repression by Myc contributes to tumorigenesis in NATURE GENETICS
  • 2005-06. Real-time RT-PCR normalisation; strategies and considerations in GENES & IMMUNITY
  • 2005-12. Comparison of normalization methods for CodeLink Bioarray data in BMC BIOINFORMATICS
  • 2002-06. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes in GENOME BIOLOGY
  • 2005-06. MicroRNA expression profiles classify human cancers in NATURE
  • 2004-11. Microarray-based, high-throughput gene expression profiling of microRNAs in NATURE METHODS
  • 2002-08. A new non-linear normalization method for reducing variability in DNA microarray experiments in GENOME BIOLOGY
  • 2007-02. qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data in GENOME BIOLOGY
  • 2006-04. Oncomirs — microRNAs with a role in cancer in NATURE REVIEWS CANCER
  • 2006-05. GenePattern 2.0 in NATURE GENETICS
  • 2007-12. Normalization method for metabolomics data using optimal selection of multiple internal standards in BMC BIOINFORMATICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/gb-2009-10-6-r64

    DOI

    http://dx.doi.org/10.1186/gb-2009-10-6-r64

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1044394180

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/19531210


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    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/gb-2009-10-6-r64'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/gb-2009-10-6-r64'

    RDF/XML is a standard XML format for linked data.

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