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...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Clinical chemistry (Baltimore, Md.) Ročník 61; číslo 11; s. 1333 - 1342
Hlavní autori: Schwarzenbach, Heidi, da Silva, Andreia Machado, Calin, George, Pantel, Klaus
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England Oxford University Press 01.11.2015
Predmet:
ISSN:0009-9147, 1530-8561
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
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.
Bibliografia: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