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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Clinical chemistry (Baltimore, Md.) Jg. 61; H. 11; S. 1333 - 1342
Hauptverfasser: Schwarzenbach, Heidi, da Silva, Andreia Machado, Calin, George, Pantel, Klaus
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Oxford University Press 01.11.2015
Schlagworte:
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
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
Bibliographie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-2
ISSN:0009-9147
1530-8561
DOI:10.1373/clinchem.2015.239459