Редактирование: OAZ1 (раздел)

==Publications==

{{medline-entry
|title=Identification of reference genes for RT-qPCR data normalisation in aging studies.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/31562345
|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 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.
|mesh-terms=* Aging
* Algorithms
* Gene Expression Profiling
* Genes, Essential
* Humans
* Real-Time Polymerase Chain Reaction
* Software

|full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764958
}}