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

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....

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Autores principales: Rydbirk, Rasmus, Folke, Jonas, Winge, Kristian, Aznar, Susana, Pakkenberg, Bente, Brudek, Tomasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112547/
https://www.ncbi.nlm.nih.gov/pubmed/27853238
http://dx.doi.org/10.1038/srep37116
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author Rydbirk, Rasmus
Folke, Jonas
Winge, Kristian
Aznar, Susana
Pakkenberg, Bente
Brudek, Tomasz
author_facet Rydbirk, Rasmus
Folke, Jonas
Winge, Kristian
Aznar, Susana
Pakkenberg, Bente
Brudek, Tomasz
author_sort Rydbirk, Rasmus
collection PubMed
description 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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spelling pubmed-51125472016-11-23 Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases Rydbirk, Rasmus Folke, Jonas Winge, Kristian Aznar, Susana Pakkenberg, Bente Brudek, Tomasz Sci Rep Article 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. Nature Publishing Group 2016-11-17 /pmc/articles/PMC5112547/ /pubmed/27853238 http://dx.doi.org/10.1038/srep37116 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Rydbirk, Rasmus
Folke, Jonas
Winge, Kristian
Aznar, Susana
Pakkenberg, Bente
Brudek, Tomasz
Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases
title Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases
title_full Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases
title_fullStr Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases
title_full_unstemmed Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases
title_short Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases
title_sort assessment of brain reference genes for rt-qpcr studies in neurodegenerative diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112547/
https://www.ncbi.nlm.nih.gov/pubmed/27853238
http://dx.doi.org/10.1038/srep37116
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