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

Lourdes González-Bermúdez, Teresa Anglada, Anna Genescà, Marta Martín, Mariona Terradas

Research output: Contribution to journalArticleResearch

4 Citations (Scopus)


© 2019, The Author(s). 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 reference gene pairs were PUM1 and TBP in OIS, GUSB and PUM1 for in vitro aging and GUSB and OAZ1 for in vivo aging. To validate these candidates, we used them to normalise the expression data of CDKN1A, APOD and TFRC genes, whose expression is known to be affected during OIS, in vitro and in vivo aging. This study demonstrates that accurate normalisation of RT-qPCR data is crucial in aging research and provides a specific subset of stable reference genes for future aging studies.
Original languageEnglish
Article number13970
JournalScientific Reports
Publication statusPublished - 1 Dec 2019


Dive into the research topics of 'Identification of reference genes for RT-qPCR data normalisation in aging studies'. Together they form a unique fingerprint.

Cite this