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Deconvolution of nucleic-acid length distributions: a gel electrophoresis analysis tool and applications

Next-generation DNA-sequencing (NGS) technologies, which are designed to streamline the acquisition of massive amounts of sequencing data, are nonetheless dependent on various preparative steps to generate DNA fragments of required concentration, purity and average size (molecular weight). Current a...

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Autores principales: Ziraldo, Riccardo, Shoura, Massa J, Fire, Andrew Z, Levene, Stephen D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895257/
https://www.ncbi.nlm.nih.gov/pubmed/31226202
http://dx.doi.org/10.1093/nar/gkz534
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author Ziraldo, Riccardo
Shoura, Massa J
Fire, Andrew Z
Levene, Stephen D
author_facet Ziraldo, Riccardo
Shoura, Massa J
Fire, Andrew Z
Levene, Stephen D
author_sort Ziraldo, Riccardo
collection PubMed
description Next-generation DNA-sequencing (NGS) technologies, which are designed to streamline the acquisition of massive amounts of sequencing data, are nonetheless dependent on various preparative steps to generate DNA fragments of required concentration, purity and average size (molecular weight). Current automated electrophoresis systems for DNA- and RNA-sample quality control, such as Agilent’s Bioanalyzer(®) and TapeStation(®) products, are costly to acquire and use; they also provide limited information for samples having broad size distributions. Here, we describe a software tool that helps determine the size distribution of DNA fragments in an NGS library, or other DNA sample, based on gel-electrophoretic line profiles. The software, developed as an ImageJ plug-in, allows for straightforward processing of gel images, including lane selection and fitting of univariate functions to intensity distributions. The user selects the option of fitting either discrete profiles in cases where discrete gel bands are visible or continuous profiles, having multiple bands buried under a single broad peak. The method requires only modest imaging capabilities and is a cost-effective, rigorous alternative characterization method to augment existing techniques for library quality control.
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spelling pubmed-68952572019-12-11 Deconvolution of nucleic-acid length distributions: a gel electrophoresis analysis tool and applications Ziraldo, Riccardo Shoura, Massa J Fire, Andrew Z Levene, Stephen D Nucleic Acids Res Methods Online Next-generation DNA-sequencing (NGS) technologies, which are designed to streamline the acquisition of massive amounts of sequencing data, are nonetheless dependent on various preparative steps to generate DNA fragments of required concentration, purity and average size (molecular weight). Current automated electrophoresis systems for DNA- and RNA-sample quality control, such as Agilent’s Bioanalyzer(®) and TapeStation(®) products, are costly to acquire and use; they also provide limited information for samples having broad size distributions. Here, we describe a software tool that helps determine the size distribution of DNA fragments in an NGS library, or other DNA sample, based on gel-electrophoretic line profiles. The software, developed as an ImageJ plug-in, allows for straightforward processing of gel images, including lane selection and fitting of univariate functions to intensity distributions. The user selects the option of fitting either discrete profiles in cases where discrete gel bands are visible or continuous profiles, having multiple bands buried under a single broad peak. The method requires only modest imaging capabilities and is a cost-effective, rigorous alternative characterization method to augment existing techniques for library quality control. Oxford University Press 2019-09-19 2019-06-21 /pmc/articles/PMC6895257/ /pubmed/31226202 http://dx.doi.org/10.1093/nar/gkz534 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Methods Online
Ziraldo, Riccardo
Shoura, Massa J
Fire, Andrew Z
Levene, Stephen D
Deconvolution of nucleic-acid length distributions: a gel electrophoresis analysis tool and applications
title Deconvolution of nucleic-acid length distributions: a gel electrophoresis analysis tool and applications
title_full Deconvolution of nucleic-acid length distributions: a gel electrophoresis analysis tool and applications
title_fullStr Deconvolution of nucleic-acid length distributions: a gel electrophoresis analysis tool and applications
title_full_unstemmed Deconvolution of nucleic-acid length distributions: a gel electrophoresis analysis tool and applications
title_short Deconvolution of nucleic-acid length distributions: a gel electrophoresis analysis tool and applications
title_sort deconvolution of nucleic-acid length distributions: a gel electrophoresis analysis tool and applications
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895257/
https://www.ncbi.nlm.nih.gov/pubmed/31226202
http://dx.doi.org/10.1093/nar/gkz534
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