Innovative GenExpA software for selecting suitable reference genes for reliable normalization of gene expression in melanoma.

ABSTRACT: The algorithms commonly used to select the best stable reference gene in RT-qPCR data analysis have their limitations. We showed that simple selection of the reference gene or pair of genes with the lowest stability value from the pool of potential reference genes-a commonly used approach-is not sufficient to accurately and reliably normalize the target gene transcript and can lead to biologically incorrect conclusions. For reliable assessment of changes in a target gene expression level, we propose our innovative GenExpA software, which works in a manner independent of the experimental model and the normalizer used. GenExpA software selects the best reference by combining the NormFinder algorithm with progressive removal of the least stable gene from the candidate genes in a given experim

SUBMITTER: Hoja-Lukowicz D 

PROVIDER: S-EPMC8885735 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature