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Quantifying mitochondrial DNA copy number using robust regression to interpret real time PCR results
BACKGROUND: Real time PCR (rtPCR) is a quantitative assay to determine the relative DNA copy number in a sample versus a reference. The [Formula: see text] method is the standard for the analysis of the output data generated by an rtPCR experiment. We developed an alternative based on fitting a robu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683470/ https://www.ncbi.nlm.nih.gov/pubmed/29132417 http://dx.doi.org/10.1186/s13104-017-2913-1 |
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author | Refinetti, Paulo Warren, David Morgenthaler, Stephan Ekstrøm, Per O. |
author_facet | Refinetti, Paulo Warren, David Morgenthaler, Stephan Ekstrøm, Per O. |
author_sort | Refinetti, Paulo |
collection | PubMed |
description | BACKGROUND: Real time PCR (rtPCR) is a quantitative assay to determine the relative DNA copy number in a sample versus a reference. The [Formula: see text] method is the standard for the analysis of the output data generated by an rtPCR experiment. We developed an alternative based on fitting a robust regression to the rtPCR signal. This new data analysis tool reduces potential biases and does not require all of the compared DNA fragments to have the same PCR efficiency. RESULTS: Comparing the two methods when analysing 96 identical PCR preparations showed similar distributions of the estimated copy numbers. Estimating the efficiency with the [Formula: see text] method, however, required a dilution series, which is not necessary for the robust regression method. We used rtPCR to quantify mitochondrial DNA (mtDNA) copy numbers in three different tissues types: breast, colon and prostate. For each type, normal tissue and a tumor from the same three patients were analysed. This gives a total of six samples. The mitochondrial copy number is estimated to lie between 200 and 300 copies per cell. Similar results are obtained when using the robust regression or the [Formula: see text] method. Confidence ratios were slightly narrower for the robust regression. The new data analysis method has been implemented as an R package. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-017-2913-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5683470 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56834702017-11-20 Quantifying mitochondrial DNA copy number using robust regression to interpret real time PCR results Refinetti, Paulo Warren, David Morgenthaler, Stephan Ekstrøm, Per O. BMC Res Notes Technical Note BACKGROUND: Real time PCR (rtPCR) is a quantitative assay to determine the relative DNA copy number in a sample versus a reference. The [Formula: see text] method is the standard for the analysis of the output data generated by an rtPCR experiment. We developed an alternative based on fitting a robust regression to the rtPCR signal. This new data analysis tool reduces potential biases and does not require all of the compared DNA fragments to have the same PCR efficiency. RESULTS: Comparing the two methods when analysing 96 identical PCR preparations showed similar distributions of the estimated copy numbers. Estimating the efficiency with the [Formula: see text] method, however, required a dilution series, which is not necessary for the robust regression method. We used rtPCR to quantify mitochondrial DNA (mtDNA) copy numbers in three different tissues types: breast, colon and prostate. For each type, normal tissue and a tumor from the same three patients were analysed. This gives a total of six samples. The mitochondrial copy number is estimated to lie between 200 and 300 copies per cell. Similar results are obtained when using the robust regression or the [Formula: see text] method. Confidence ratios were slightly narrower for the robust regression. The new data analysis method has been implemented as an R package. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-017-2913-1) contains supplementary material, which is available to authorized users. BioMed Central 2017-11-13 /pmc/articles/PMC5683470/ /pubmed/29132417 http://dx.doi.org/10.1186/s13104-017-2913-1 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Technical Note Refinetti, Paulo Warren, David Morgenthaler, Stephan Ekstrøm, Per O. Quantifying mitochondrial DNA copy number using robust regression to interpret real time PCR results |
title | Quantifying mitochondrial DNA copy number using robust regression to interpret real time PCR results |
title_full | Quantifying mitochondrial DNA copy number using robust regression to interpret real time PCR results |
title_fullStr | Quantifying mitochondrial DNA copy number using robust regression to interpret real time PCR results |
title_full_unstemmed | Quantifying mitochondrial DNA copy number using robust regression to interpret real time PCR results |
title_short | Quantifying mitochondrial DNA copy number using robust regression to interpret real time PCR results |
title_sort | quantifying mitochondrial dna copy number using robust regression to interpret real time pcr results |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683470/ https://www.ncbi.nlm.nih.gov/pubmed/29132417 http://dx.doi.org/10.1186/s13104-017-2913-1 |
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