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Digital PCR dynamic range is approaching that of real-time quantitative PCR
Digital PCR (dPCR) has been reported to be more precise and sensitive than real-time quantitative PCR (qPCR) in a variety of models and applications. However, in the majority of commercially available dPCR platforms, the dynamic range is dependent on the number of partitions analysed and so is typic...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154633/ https://www.ncbi.nlm.nih.gov/pubmed/27990347 http://dx.doi.org/10.1016/j.bdq.2016.10.001 |
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author | Jones, Gerwyn M. Busby, Eloise Garson, Jeremy A. Grant, Paul R. Nastouli, Eleni Devonshire, Alison S. Whale, Alexandra S. |
author_facet | Jones, Gerwyn M. Busby, Eloise Garson, Jeremy A. Grant, Paul R. Nastouli, Eleni Devonshire, Alison S. Whale, Alexandra S. |
author_sort | Jones, Gerwyn M. |
collection | PubMed |
description | Digital PCR (dPCR) has been reported to be more precise and sensitive than real-time quantitative PCR (qPCR) in a variety of models and applications. However, in the majority of commercially available dPCR platforms, the dynamic range is dependent on the number of partitions analysed and so is typically limited to four orders of magnitude; reduced compared with the typical seven orders achievable by qPCR. Using two different biological models (HIV DNA analysis and KRAS genotyping), we have demonstrated that the RainDrop Digital PCR System (RainDance Technologies) is capable of performing accurate and precise quantification over six orders of magnitude thereby approaching that achievable by qPCR. |
format | Online Article Text |
id | pubmed-5154633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-51546332016-12-16 Digital PCR dynamic range is approaching that of real-time quantitative PCR Jones, Gerwyn M. Busby, Eloise Garson, Jeremy A. Grant, Paul R. Nastouli, Eleni Devonshire, Alison S. Whale, Alexandra S. Biomol Detect Quantif Research Paper Digital PCR (dPCR) has been reported to be more precise and sensitive than real-time quantitative PCR (qPCR) in a variety of models and applications. However, in the majority of commercially available dPCR platforms, the dynamic range is dependent on the number of partitions analysed and so is typically limited to four orders of magnitude; reduced compared with the typical seven orders achievable by qPCR. Using two different biological models (HIV DNA analysis and KRAS genotyping), we have demonstrated that the RainDrop Digital PCR System (RainDance Technologies) is capable of performing accurate and precise quantification over six orders of magnitude thereby approaching that achievable by qPCR. Elsevier 2016-11-02 /pmc/articles/PMC5154633/ /pubmed/27990347 http://dx.doi.org/10.1016/j.bdq.2016.10.001 Text en © 2016 The Author(s) 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 | Research Paper Jones, Gerwyn M. Busby, Eloise Garson, Jeremy A. Grant, Paul R. Nastouli, Eleni Devonshire, Alison S. Whale, Alexandra S. Digital PCR dynamic range is approaching that of real-time quantitative PCR |
title | Digital PCR dynamic range is approaching that of real-time quantitative PCR |
title_full | Digital PCR dynamic range is approaching that of real-time quantitative PCR |
title_fullStr | Digital PCR dynamic range is approaching that of real-time quantitative PCR |
title_full_unstemmed | Digital PCR dynamic range is approaching that of real-time quantitative PCR |
title_short | Digital PCR dynamic range is approaching that of real-time quantitative PCR |
title_sort | digital pcr dynamic range is approaching that of real-time quantitative pcr |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154633/ https://www.ncbi.nlm.nih.gov/pubmed/27990347 http://dx.doi.org/10.1016/j.bdq.2016.10.001 |
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