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

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Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases. / Rydbirk, Rasmus; Folke, Jonas; Winge, Kristian; Aznar, Susana; Pakkenberg, Bente; Brudek, Tomasz.

In: Scientific Reports, Vol. 6, 37116, 17.11.2016.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Rydbirk, R, Folke, J, Winge, K, Aznar, S, Pakkenberg, B & Brudek, T 2016, 'Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases', Scientific Reports, vol. 6, 37116. https://doi.org/10.1038/srep37116

APA

Rydbirk, R., Folke, J., Winge, K., Aznar, S., Pakkenberg, B., & Brudek, T. (2016). Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases. Scientific Reports, 6, [37116]. https://doi.org/10.1038/srep37116

Vancouver

Rydbirk R, Folke J, Winge K, Aznar S, Pakkenberg B, Brudek T. Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases. Scientific Reports. 2016 Nov 17;6. 37116. https://doi.org/10.1038/srep37116

Author

Rydbirk, Rasmus ; Folke, Jonas ; Winge, Kristian ; Aznar, Susana ; Pakkenberg, Bente ; Brudek, Tomasz. / Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases. In: Scientific Reports. 2016 ; Vol. 6.

Bibtex

@article{20e00b6b43d94716bc7c28b26a020084,
title = "Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases",
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.",
author = "Rasmus Rydbirk and Jonas Folke and Kristian Winge and Susana Aznar and Bente Pakkenberg and Tomasz Brudek",
year = "2016",
month = nov,
day = "17",
doi = "10.1038/srep37116",
language = "English",
volume = "6",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases

AU - Rydbirk, Rasmus

AU - Folke, Jonas

AU - Winge, Kristian

AU - Aznar, Susana

AU - Pakkenberg, Bente

AU - Brudek, Tomasz

PY - 2016/11/17

Y1 - 2016/11/17

N2 - 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.

AB - 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.

U2 - 10.1038/srep37116

DO - 10.1038/srep37116

M3 - Journal article

C2 - 27853238

AN - SCOPUS:84995555368

VL - 6

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 37116

ER -

ID: 178852308