High-throughput identification of reference genes for research and clinical RT-qPCR analysis of breast cancer samples.

ABSTRACT:

Background

Quantification and normalization of RT-qPCR data critically depends on the expression of so called reference genes. Our goal was to develop a strategy for the selection of reference genes that utilizes microarray data analysis and combines known approaches for gene stability evaluation and to select a set of appropriate reference genes for research and clinical analysis of breast samples with different receptor and cancer status using this strategy.

Methods

A preliminary search of reference genes was based on high-throughput analysis of microarray datasets. The final selection and validation of the candidate genes were based on the RT-qPCR data analysis using several known methods for expression stability evaluation: comparative ∆Ct method, geNorm, NormFinder and

SUBMITTER: Maltseva DV 

PROVIDER: S-EPMC3726509 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature