Data Normalization Strategies for MicroRNA Quantification

Different technologies, such as quantitative real-time PCR or microarrays, have been developed to measure microRNA (miRNA) expression levels. Quantification of miRNA transcripts implicates data normalization using endogenous and exogenous reference genes for data correction. However, there is no con...

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Vydáno v:Clinical chemistry (Baltimore, Md.) Ročník 61; číslo 11; s. 1333 - 1342
Hlavní autoři: Schwarzenbach, Heidi, da Silva, Andreia Machado, Calin, George, Pantel, Klaus
Médium: Journal Article
Jazyk:angličtina
Vydáno: England Oxford University Press 01.11.2015
Témata:
Animals
Biomarkers
Body fluids
Cancer
Chromatography
Gene expression
Gene Expression Profiling - methods
Gene Expression Profiling - standards
Grants
Humans
Laboratories
Melanoma
Methods
MicroRNAs - genetics
Oligonucleotide Array Sequence Analysis - methods
Oligonucleotide Array Sequence Analysis - standards
Physiology
Pilot projects
Proteins
Real-Time Polymerase Chain Reaction - methods
Real-Time Polymerase Chain Reaction - standards
Reference Standards
Reproducibility of Results
Studies
Workflow
ISSN:0009-9147, 1530-8561
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Popis
Shrnutí:Different technologies, such as quantitative real-time PCR or microarrays, have been developed to measure microRNA (miRNA) expression levels. Quantification of miRNA transcripts implicates data normalization using endogenous and exogenous reference genes for data correction. However, there is no consensus about an optimal normalization strategy. The choice of a reference gene remains problematic and can have a serious impact on the actual available transcript levels and, consequently, on the biological interpretation of data. In this review article we discuss the reliability of the use of small RNAs, commonly reported in the literature as miRNA expression normalizers, and compare different strategies used for data normalization. A workflow strategy is proposed for normalization of miRNA expression data in an attempt to provide a basis for the establishment of a global standard procedure that will allow comparison across studies.
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ISSN:0009-9147
1530-8561
DOI:10.1373/clinchem.2015.239459