Profound effect of profiling platform and normalization strategy on detection of differentially expressed microRNAs--a comparative study.

ABSTRACT:

Background

Adequate normalization minimizes the effects of systematic technical variations and is a prerequisite for getting meaningful biological changes. However, there is inconsistency about miRNA normalization performances and recommendations. Thus, we investigated the impact of seven different normalization methods (reference gene index, global geometric mean, quantile, invariant selection, loess, loessM, and generalized procrustes analysis) on intra- and inter-platform performance of two distinct and commonly used miRNA profiling platforms.

Methodology/principal findings

We included data from miRNA profiling analyses derived from a hybridization-based platform (Agilent Technologies) and an RT-qPCR platform (Applied Biosystems). Furthermore, we validated a subset of miR

SUBMITTER: Meyer SU 

PROVIDER: S-EPMC3377731 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature