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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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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. |
format | Online Article Text |
id | pubmed-6895257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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