Reference gene stability in peripheral blood mononuclear cells determined by qPCR and NanoString

Quantitative real-time PCR (qPCR) is commonly used for gene expression analyses with defined documentation guidelines to compare published results. To minimize the impact of variances from qPCR performance, sample handling and processing reference genes are used. Their selection process cannot be completely aligned due to variations in experimental conditions. Furthermore, the named sources of error are also present when determining the stability of the reference genes themselves. Even software applications that are used to identify the best reference genes rarely coincide on their rankings and can be misleading under certain conditions. In previous experiments, peripheral blood mononuclear cells (PBMC) were analyzed to identify the most stable reference gene(s). Twelve of the 13 investigated genes showed sample type specific differences in the expression. Direct mRNA measurement was performed in the form of a NanoString analysis, a multiplexed absolute quantification method. The external validation showed a high concordance of the reference gene expression levels. However, it identified the same sample type specific expression pattern for only some of the tested reference genes. By comparing various combinations of reference genes with both methods we are able to suggest a set of well-performing reference genes. Figure We here compare the expression of reference genes for qPCR and NanoString data and determine the value of the latter method as a bias-free mRNA quantification method