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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....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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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. |
format | Online Article Text |
id | pubmed-5112547 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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