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Optimal reference genes for normalization of qPCR gene expression data from proton and photon irradiated dermal fibroblasts
The transcriptional response of cells exposed to proton radiation is not equivalent to the response induced by traditional photon beams. Changes in cellular signalling is most commonly studied using the method Quantitative polymerase chain reaction (qPCR). Stable reference genes must be used to accu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107545/ https://www.ncbi.nlm.nih.gov/pubmed/30139945 http://dx.doi.org/10.1038/s41598-018-30946-0 |
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author | Nielsen, Steffen Bassler, Niels Grzanka, Leszek Swakon, Jan Olko, Pawel Andreassen, Christian Nicolaj Alsner, Jan Sørensen, Brita Singers |
author_facet | Nielsen, Steffen Bassler, Niels Grzanka, Leszek Swakon, Jan Olko, Pawel Andreassen, Christian Nicolaj Alsner, Jan Sørensen, Brita Singers |
author_sort | Nielsen, Steffen |
collection | PubMed |
description | The transcriptional response of cells exposed to proton radiation is not equivalent to the response induced by traditional photon beams. Changes in cellular signalling is most commonly studied using the method Quantitative polymerase chain reaction (qPCR). Stable reference genes must be used to accurately quantify target transcript expression. The study aim was to identify suitable reference genes for normalisation of gene expression levels in normal dermal fibroblasts irradiated with either proton or photon beams. The online tool RefFinder was used to analyse and identify the most stably expressed genes from a panel of 22 gene candidates. To assess the reliability of the identified reference genes, a selection of the most and least stable reference genes was used to normalise target transcripts of interest. Fold change levels varied considerably depending on the used reference gene. The top ranked genes IPO8, PUM1, MRPL19 and PSMC4 produced highly similar target gene expression, while expression using the worst ranked genes, TFRC and HPRT1, was clearly modified due to reference gene instability. |
format | Online Article Text |
id | pubmed-6107545 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61075452018-08-28 Optimal reference genes for normalization of qPCR gene expression data from proton and photon irradiated dermal fibroblasts Nielsen, Steffen Bassler, Niels Grzanka, Leszek Swakon, Jan Olko, Pawel Andreassen, Christian Nicolaj Alsner, Jan Sørensen, Brita Singers Sci Rep Article The transcriptional response of cells exposed to proton radiation is not equivalent to the response induced by traditional photon beams. Changes in cellular signalling is most commonly studied using the method Quantitative polymerase chain reaction (qPCR). Stable reference genes must be used to accurately quantify target transcript expression. The study aim was to identify suitable reference genes for normalisation of gene expression levels in normal dermal fibroblasts irradiated with either proton or photon beams. The online tool RefFinder was used to analyse and identify the most stably expressed genes from a panel of 22 gene candidates. To assess the reliability of the identified reference genes, a selection of the most and least stable reference genes was used to normalise target transcripts of interest. Fold change levels varied considerably depending on the used reference gene. The top ranked genes IPO8, PUM1, MRPL19 and PSMC4 produced highly similar target gene expression, while expression using the worst ranked genes, TFRC and HPRT1, was clearly modified due to reference gene instability. Nature Publishing Group UK 2018-08-23 /pmc/articles/PMC6107545/ /pubmed/30139945 http://dx.doi.org/10.1038/s41598-018-30946-0 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Nielsen, Steffen Bassler, Niels Grzanka, Leszek Swakon, Jan Olko, Pawel Andreassen, Christian Nicolaj Alsner, Jan Sørensen, Brita Singers Optimal reference genes for normalization of qPCR gene expression data from proton and photon irradiated dermal fibroblasts |
title | Optimal reference genes for normalization of qPCR gene expression data from proton and photon irradiated dermal fibroblasts |
title_full | Optimal reference genes for normalization of qPCR gene expression data from proton and photon irradiated dermal fibroblasts |
title_fullStr | Optimal reference genes for normalization of qPCR gene expression data from proton and photon irradiated dermal fibroblasts |
title_full_unstemmed | Optimal reference genes for normalization of qPCR gene expression data from proton and photon irradiated dermal fibroblasts |
title_short | Optimal reference genes for normalization of qPCR gene expression data from proton and photon irradiated dermal fibroblasts |
title_sort | optimal reference genes for normalization of qpcr gene expression data from proton and photon irradiated dermal fibroblasts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107545/ https://www.ncbi.nlm.nih.gov/pubmed/30139945 http://dx.doi.org/10.1038/s41598-018-30946-0 |
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