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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...

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Autores principales: Jones, Gerwyn M., Busby, Eloise, Garson, Jeremy A., Grant, Paul R., Nastouli, Eleni, Devonshire, Alison S., Whale, Alexandra S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
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.
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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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