Identification of reference genes for RT-qPCR data normalisation in aging studies.

ABSTRACT: Aging is associated with changes in gene expression levels that affect cellular functions and predispose to age-related diseases. The use of candidate genes whose expression remains stable during aging is required to correctly address the age-associated variations in expression levels. Reverse transcription quantitative-polymerase chain reaction (RT-qPCR) has become a powerful approach for sensitive gene expression analysis. Reliable RT-qPCR assays rely on the normalisation of the results to stable reference genes. Taken these data together, here we evaluated the expression stability of eight frequently used reference genes in three aging models: oncogene-induced senescence (OIS), in vitro and in vivo aging. Using NormFinder and geNorm algorithms, we identified that the most stable referen

SUBMITTER: Gonzalez-Bermudez L 

PROVIDER: S-EPMC6764958 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature