Data Normalization Strategies for MicroRNA Quantification.

ABSTRACT:

Background

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.

Content

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.

Summary

A workflow s

SUBMITTER: Schwarzenbach H 

PROVIDER: S-EPMC4890630 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature