A stable combination of non-stable genes outperforms standard reference genes for RT-qPCR data normalization.

ABSTRACT: Gene expression profiling is of key importance in all domains of life sciences, as medicine, environment, and plants, for both basic and applied research. Despite the emergence of microarrays and high-throughput sequencing, qPCR remains a standard method for gene expression analyses, with its data normalization step being crucial for ensuring accuracy. Currently, the most widely used normalization method is based on the use of reference genes, assumed to be stably expressed across all experimental conditions. In the present study, we show that finding a stable combination of genes, regardless of their individual stability, outperforms standard reference genes for RT-qPCR data normalization. A stable combination of genes consists of a fixed number of genes whose individual expression balanc

SUBMITTER: Djari A 

PROVIDER: S-EPMC11682138 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature