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Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases

An Author Correction to this article was published on 23 July 2020

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Abstract

Evaluation of gene expression levels by reverse transcription quantitative real-time PCR (RT-qPCR) has for many years been the favourite approach for discovering disease-associated alterations. Normalization of results to stably expressed reference genes (RGs) is pivotal to obtain reliable results. This is especially important in relation to neurodegenerative diseases where disease-related structural changes may affect the most commonly used RGs. We analysed 15 candidate RGs in 98 brain samples from two brain regions from Alzheimer’s disease (AD), Parkinson’s disease (PD), Multiple System Atrophy, and Progressive Supranuclear Palsy patients. Using RefFinder, a web-based tool for evaluating RG stability, we identified the most stable RGs to be UBE2D2, CYC1, and RPL13 which we recommend for future RT-qPCR studies on human brain tissue from these patients. None of the investigated genes were affected by experimental variables such as RIN, PMI, or age. Findings were further validated by expression analyses of a target gene GSK3B, known to be affected by AD and PD. We obtained high variations in GSK3B levels when contrasting the results using different sets of common RG underlining the importance of a priori validation of RGs for RT-qPCR studies.

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  • 23 July 2020

    An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Rydbirk, R., Folke, J., Winge, K. et al. Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases. Sci Rep 6, 37116 (2016). https://doi.org/10.1038/srep37116

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