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Determining lower limits of detection of digital PCR assays for cancer-related gene mutations
Digital PCR offers very high sensitivity compared to many other technologies for processing molecular detection assays. Herein, a process is outlined for determining the lower limit of detection (LoD) of two droplet-based digital PCR assays for point mutations of the epidermal growth factor receptor...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5129438/ https://www.ncbi.nlm.nih.gov/pubmed/27920993 http://dx.doi.org/10.1016/j.bdq.2014.08.001 |
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author | Milbury, Coren A. Zhong, Qun Lin, Jesse Williams, Miguel Olson, Jeff Link, Darren R. Hutchison, Brian |
author_facet | Milbury, Coren A. Zhong, Qun Lin, Jesse Williams, Miguel Olson, Jeff Link, Darren R. Hutchison, Brian |
author_sort | Milbury, Coren A. |
collection | PubMed |
description | Digital PCR offers very high sensitivity compared to many other technologies for processing molecular detection assays. Herein, a process is outlined for determining the lower limit of detection (LoD) of two droplet-based digital PCR assays for point mutations of the epidermal growth factor receptor (EGFR) gene. Hydrolysis probe mutation-detection assays for EGFR p.L858R and p.T790M mutations were characterized in detail. Furthermore, sixteen additional cancer-related mutation assays were explored by the same approach. For the EGFR L8585R assay, the assay sensitivity is extremely good, and thus, the LoD is limited by the amount of amplifiable DNA that is analyzed. With 95% confidence limits, the LoD is one mutant in 180,000 wild-type molecules for the evaluation of 3.3 μg of genomic DNA, and detection of one mutant molecule in over 4 million wild-type molecules was achieved when 70 million copies of DNA were processed. The measured false-positive rate for the EGFR L8585R assay is one in 14 million, which indicates the theoretical LoD if an unlimited amount of DNA is evaluated. For the EFGR T790M assay, the LoD is one mutant in 13,000 for analysis of a 3.3 μg sample of genomic DNA, and the dPCR assay limit sensitivity approaches one mutant in 22,000 wild-type molecules. |
format | Online Article Text |
id | pubmed-5129438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-51294382016-12-05 Determining lower limits of detection of digital PCR assays for cancer-related gene mutations Milbury, Coren A. Zhong, Qun Lin, Jesse Williams, Miguel Olson, Jeff Link, Darren R. Hutchison, Brian Biomol Detect Quantif Original Article Digital PCR offers very high sensitivity compared to many other technologies for processing molecular detection assays. Herein, a process is outlined for determining the lower limit of detection (LoD) of two droplet-based digital PCR assays for point mutations of the epidermal growth factor receptor (EGFR) gene. Hydrolysis probe mutation-detection assays for EGFR p.L858R and p.T790M mutations were characterized in detail. Furthermore, sixteen additional cancer-related mutation assays were explored by the same approach. For the EGFR L8585R assay, the assay sensitivity is extremely good, and thus, the LoD is limited by the amount of amplifiable DNA that is analyzed. With 95% confidence limits, the LoD is one mutant in 180,000 wild-type molecules for the evaluation of 3.3 μg of genomic DNA, and detection of one mutant molecule in over 4 million wild-type molecules was achieved when 70 million copies of DNA were processed. The measured false-positive rate for the EGFR L8585R assay is one in 14 million, which indicates the theoretical LoD if an unlimited amount of DNA is evaluated. For the EFGR T790M assay, the LoD is one mutant in 13,000 for analysis of a 3.3 μg sample of genomic DNA, and the dPCR assay limit sensitivity approaches one mutant in 22,000 wild-type molecules. Elsevier 2014-08-20 /pmc/articles/PMC5129438/ /pubmed/27920993 http://dx.doi.org/10.1016/j.bdq.2014.08.001 Text en © 2014 Published by Elsevier GmbH. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Milbury, Coren A. Zhong, Qun Lin, Jesse Williams, Miguel Olson, Jeff Link, Darren R. Hutchison, Brian Determining lower limits of detection of digital PCR assays for cancer-related gene mutations |
title | Determining lower limits of detection of digital PCR assays for cancer-related gene mutations |
title_full | Determining lower limits of detection of digital PCR assays for cancer-related gene mutations |
title_fullStr | Determining lower limits of detection of digital PCR assays for cancer-related gene mutations |
title_full_unstemmed | Determining lower limits of detection of digital PCR assays for cancer-related gene mutations |
title_short | Determining lower limits of detection of digital PCR assays for cancer-related gene mutations |
title_sort | determining lower limits of detection of digital pcr assays for cancer-related gene mutations |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5129438/ https://www.ncbi.nlm.nih.gov/pubmed/27920993 http://dx.doi.org/10.1016/j.bdq.2014.08.001 |
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