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Correction of RT–qPCR data for genomic DNA-derived signals with ValidPrime
Genomic DNA (gDNA) contamination is an inherent problem during RNA purification that can lead to non-specific amplification and aberrant results in reverse transcription quantitative PCR (RT—qPCR). Currently, there is no alternative to RT(−) controls to evaluate the impact of the gDNA background on...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3326333/ https://www.ncbi.nlm.nih.gov/pubmed/22228834 http://dx.doi.org/10.1093/nar/gkr1259 |
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author | Laurell, Henrik Iacovoni, Jason S. Abot, Anne Svec, David Maoret, Jean-José Arnal, Jean-François Kubista, Mikael |
author_facet | Laurell, Henrik Iacovoni, Jason S. Abot, Anne Svec, David Maoret, Jean-José Arnal, Jean-François Kubista, Mikael |
author_sort | Laurell, Henrik |
collection | PubMed |
description | Genomic DNA (gDNA) contamination is an inherent problem during RNA purification that can lead to non-specific amplification and aberrant results in reverse transcription quantitative PCR (RT—qPCR). Currently, there is no alternative to RT(−) controls to evaluate the impact of the gDNA background on RT–PCR data. We propose a novel method (ValidPrime) that is more accurate than traditional RT(−) controls to test qPCR assays with respect to their sensitivity toward gDNA. ValidPrime measures the gDNA contribution using an optimized gDNA-specific ValidPrime assay (VPA) and gDNA reference sample(s). The VPA, targeting a non-transcribed locus, is used to measure the gDNA contents in RT(+) samples and the gDNA reference is used to normalize for GOI-specific differences in gDNA sensitivity. We demonstrate that the RNA-derived component of the signal can be accurately estimated and deduced from the total signal. ValidPrime corrects with high precision for both exogenous (spiked) and endogenous gDNA, contributing ∼60% of the total signal, whereas substantially reducing the number of required qPCR control reactions. In conclusion, ValidPrime offers a cost-efficient alternative to RT(−) controls and accurately corrects for signals derived from gDNA in RT–qPCR. |
format | Online Article Text |
id | pubmed-3326333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33263332012-04-16 Correction of RT–qPCR data for genomic DNA-derived signals with ValidPrime Laurell, Henrik Iacovoni, Jason S. Abot, Anne Svec, David Maoret, Jean-José Arnal, Jean-François Kubista, Mikael Nucleic Acids Res Methods Online Genomic DNA (gDNA) contamination is an inherent problem during RNA purification that can lead to non-specific amplification and aberrant results in reverse transcription quantitative PCR (RT—qPCR). Currently, there is no alternative to RT(−) controls to evaluate the impact of the gDNA background on RT–PCR data. We propose a novel method (ValidPrime) that is more accurate than traditional RT(−) controls to test qPCR assays with respect to their sensitivity toward gDNA. ValidPrime measures the gDNA contribution using an optimized gDNA-specific ValidPrime assay (VPA) and gDNA reference sample(s). The VPA, targeting a non-transcribed locus, is used to measure the gDNA contents in RT(+) samples and the gDNA reference is used to normalize for GOI-specific differences in gDNA sensitivity. We demonstrate that the RNA-derived component of the signal can be accurately estimated and deduced from the total signal. ValidPrime corrects with high precision for both exogenous (spiked) and endogenous gDNA, contributing ∼60% of the total signal, whereas substantially reducing the number of required qPCR control reactions. In conclusion, ValidPrime offers a cost-efficient alternative to RT(−) controls and accurately corrects for signals derived from gDNA in RT–qPCR. Oxford University Press 2012-04 2012-01-06 /pmc/articles/PMC3326333/ /pubmed/22228834 http://dx.doi.org/10.1093/nar/gkr1259 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Laurell, Henrik Iacovoni, Jason S. Abot, Anne Svec, David Maoret, Jean-José Arnal, Jean-François Kubista, Mikael Correction of RT–qPCR data for genomic DNA-derived signals with ValidPrime |
title | Correction of RT–qPCR data for genomic DNA-derived signals with ValidPrime |
title_full | Correction of RT–qPCR data for genomic DNA-derived signals with ValidPrime |
title_fullStr | Correction of RT–qPCR data for genomic DNA-derived signals with ValidPrime |
title_full_unstemmed | Correction of RT–qPCR data for genomic DNA-derived signals with ValidPrime |
title_short | Correction of RT–qPCR data for genomic DNA-derived signals with ValidPrime |
title_sort | correction of rt–qpcr data for genomic dna-derived signals with validprime |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3326333/ https://www.ncbi.nlm.nih.gov/pubmed/22228834 http://dx.doi.org/10.1093/nar/gkr1259 |
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