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The importance of selecting the appropriate reference genes for quantitative real time PCR as illustrated using colon cancer cells and tissue

Quantitative real-time reverse-transcription polymerase chain reaction (RT-qPCR) remains the most sensitive technique for nucleic acid quantification. Its popularity is reflected in the remarkable number of publications reporting RT-qPCR data. Careful normalisation within RT-qPCR studies is imperati...

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Autores principales: Dowling, Catríona M., Walsh, Dara, Coffey, John C., Kiely, Patrick A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4768652/
https://www.ncbi.nlm.nih.gov/pubmed/26962435
http://dx.doi.org/10.12688/f1000research.7656.2
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author Dowling, Catríona M.
Walsh, Dara
Coffey, John C.
Kiely, Patrick A.
author_facet Dowling, Catríona M.
Walsh, Dara
Coffey, John C.
Kiely, Patrick A.
author_sort Dowling, Catríona M.
collection PubMed
description Quantitative real-time reverse-transcription polymerase chain reaction (RT-qPCR) remains the most sensitive technique for nucleic acid quantification. Its popularity is reflected in the remarkable number of publications reporting RT-qPCR data. Careful normalisation within RT-qPCR studies is imperative to ensure accurate quantification of mRNA levels. This is commonly achieved through the use of reference genes as an internal control to normalise the mRNA levels between different samples. The selection of appropriate reference genes can be a challenge as transcript levels vary with physiology, pathology and development, making the information within the transcriptome flexible and variable. In this study, we examined the variation in expression of a panel of nine candidate reference genes in HCT116 and HT29 2-dimensional and 3-dimensional cultures, as well as in normal and cancerous colon tissue. Using normfinder we identified the top three most stable genes for all conditions. Further to this we compared the change in expression of a selection of PKC coding genes when the data was normalised to one reference gene and three reference genes. Here we demonstrated that there is a variation in the fold changes obtained dependent on the number of reference genes used. As well as this, we highlight important considerations namely; assay efficiency tests, inhibition tests and RNA assessment which should also be implemented into all RT-qPCR studies. All this data combined demonstrates the need for careful experimental design in RT-qPCR studies to help eliminate false interpretation and reporting of results.
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spelling pubmed-47686522016-03-08 The importance of selecting the appropriate reference genes for quantitative real time PCR as illustrated using colon cancer cells and tissue Dowling, Catríona M. Walsh, Dara Coffey, John C. Kiely, Patrick A. F1000Res Research Note Quantitative real-time reverse-transcription polymerase chain reaction (RT-qPCR) remains the most sensitive technique for nucleic acid quantification. Its popularity is reflected in the remarkable number of publications reporting RT-qPCR data. Careful normalisation within RT-qPCR studies is imperative to ensure accurate quantification of mRNA levels. This is commonly achieved through the use of reference genes as an internal control to normalise the mRNA levels between different samples. The selection of appropriate reference genes can be a challenge as transcript levels vary with physiology, pathology and development, making the information within the transcriptome flexible and variable. In this study, we examined the variation in expression of a panel of nine candidate reference genes in HCT116 and HT29 2-dimensional and 3-dimensional cultures, as well as in normal and cancerous colon tissue. Using normfinder we identified the top three most stable genes for all conditions. Further to this we compared the change in expression of a selection of PKC coding genes when the data was normalised to one reference gene and three reference genes. Here we demonstrated that there is a variation in the fold changes obtained dependent on the number of reference genes used. As well as this, we highlight important considerations namely; assay efficiency tests, inhibition tests and RNA assessment which should also be implemented into all RT-qPCR studies. All this data combined demonstrates the need for careful experimental design in RT-qPCR studies to help eliminate false interpretation and reporting of results. F1000Research 2016-03-09 /pmc/articles/PMC4768652/ /pubmed/26962435 http://dx.doi.org/10.12688/f1000research.7656.2 Text en Copyright: © 2016 Dowling CM et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Note
Dowling, Catríona M.
Walsh, Dara
Coffey, John C.
Kiely, Patrick A.
The importance of selecting the appropriate reference genes for quantitative real time PCR as illustrated using colon cancer cells and tissue
title The importance of selecting the appropriate reference genes for quantitative real time PCR as illustrated using colon cancer cells and tissue
title_full The importance of selecting the appropriate reference genes for quantitative real time PCR as illustrated using colon cancer cells and tissue
title_fullStr The importance of selecting the appropriate reference genes for quantitative real time PCR as illustrated using colon cancer cells and tissue
title_full_unstemmed The importance of selecting the appropriate reference genes for quantitative real time PCR as illustrated using colon cancer cells and tissue
title_short The importance of selecting the appropriate reference genes for quantitative real time PCR as illustrated using colon cancer cells and tissue
title_sort importance of selecting the appropriate reference genes for quantitative real time pcr as illustrated using colon cancer cells and tissue
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4768652/
https://www.ncbi.nlm.nih.gov/pubmed/26962435
http://dx.doi.org/10.12688/f1000research.7656.2
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