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Quantification of massively parallel sequencing libraries – a comparative study of eight methods

Quantification of massively parallel sequencing libraries is important for acquisition of monoclonal beads or clusters prior to clonal amplification and to avoid large variations in library coverage when multiple samples are included in one sequencing analysis. No gold standard for quantification of...

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Autores principales: Hussing, Christian, Kampmann, Marie-Louise, Mogensen, Helle Smidt, Børsting, Claus, Morling, Niels
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773690/
https://www.ncbi.nlm.nih.gov/pubmed/29348673
http://dx.doi.org/10.1038/s41598-018-19574-w
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author Hussing, Christian
Kampmann, Marie-Louise
Mogensen, Helle Smidt
Børsting, Claus
Morling, Niels
author_facet Hussing, Christian
Kampmann, Marie-Louise
Mogensen, Helle Smidt
Børsting, Claus
Morling, Niels
author_sort Hussing, Christian
collection PubMed
description Quantification of massively parallel sequencing libraries is important for acquisition of monoclonal beads or clusters prior to clonal amplification and to avoid large variations in library coverage when multiple samples are included in one sequencing analysis. No gold standard for quantification of libraries exists. We assessed eight methods of quantification of libraries by quantifying 54 amplicon, six capture, and six shotgun fragment libraries. Chemically synthesized double-stranded DNA was also quantified. Light spectrophotometry, i.e. NanoDrop, was found to give the highest concentration estimates followed by Qubit and electrophoresis-based instruments (Bioanalyzer, TapeStation, GX Touch, and Fragment Analyzer), while SYBR Green and TaqMan based qPCR assays gave the lowest estimates. qPCR gave more accurate predictions of sequencing coverage than Qubit and TapeStation did. Costs, time-consumption, workflow simplicity, and ability to quantify multiple samples are discussed. Technical specifications, advantages, and disadvantages of the various methods are pointed out.
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spelling pubmed-57736902018-01-26 Quantification of massively parallel sequencing libraries – a comparative study of eight methods Hussing, Christian Kampmann, Marie-Louise Mogensen, Helle Smidt Børsting, Claus Morling, Niels Sci Rep Article Quantification of massively parallel sequencing libraries is important for acquisition of monoclonal beads or clusters prior to clonal amplification and to avoid large variations in library coverage when multiple samples are included in one sequencing analysis. No gold standard for quantification of libraries exists. We assessed eight methods of quantification of libraries by quantifying 54 amplicon, six capture, and six shotgun fragment libraries. Chemically synthesized double-stranded DNA was also quantified. Light spectrophotometry, i.e. NanoDrop, was found to give the highest concentration estimates followed by Qubit and electrophoresis-based instruments (Bioanalyzer, TapeStation, GX Touch, and Fragment Analyzer), while SYBR Green and TaqMan based qPCR assays gave the lowest estimates. qPCR gave more accurate predictions of sequencing coverage than Qubit and TapeStation did. Costs, time-consumption, workflow simplicity, and ability to quantify multiple samples are discussed. Technical specifications, advantages, and disadvantages of the various methods are pointed out. Nature Publishing Group UK 2018-01-18 /pmc/articles/PMC5773690/ /pubmed/29348673 http://dx.doi.org/10.1038/s41598-018-19574-w Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Hussing, Christian
Kampmann, Marie-Louise
Mogensen, Helle Smidt
Børsting, Claus
Morling, Niels
Quantification of massively parallel sequencing libraries – a comparative study of eight methods
title Quantification of massively parallel sequencing libraries – a comparative study of eight methods
title_full Quantification of massively parallel sequencing libraries – a comparative study of eight methods
title_fullStr Quantification of massively parallel sequencing libraries – a comparative study of eight methods
title_full_unstemmed Quantification of massively parallel sequencing libraries – a comparative study of eight methods
title_short Quantification of massively parallel sequencing libraries – a comparative study of eight methods
title_sort quantification of massively parallel sequencing libraries – a comparative study of eight methods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773690/
https://www.ncbi.nlm.nih.gov/pubmed/29348673
http://dx.doi.org/10.1038/s41598-018-19574-w
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