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DNA Qualification Workflow for Next Generation Sequencing of Histopathological Samples
Histopathological samples are a treasure-trove of DNA for clinical research. However, the quality of DNA can vary depending on the source or extraction method applied. Thus a standardized and cost-effective workflow for the qualification of DNA preparations is essential to guarantee interlaboratory...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675123/ https://www.ncbi.nlm.nih.gov/pubmed/23762227 http://dx.doi.org/10.1371/journal.pone.0062692 |
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author | Simbolo, Michele Gottardi, Marisa Corbo, Vincenzo Fassan, Matteo Mafficini, Andrea Malpeli, Giorgio Lawlor, Rita T. Scarpa, Aldo |
author_facet | Simbolo, Michele Gottardi, Marisa Corbo, Vincenzo Fassan, Matteo Mafficini, Andrea Malpeli, Giorgio Lawlor, Rita T. Scarpa, Aldo |
author_sort | Simbolo, Michele |
collection | PubMed |
description | Histopathological samples are a treasure-trove of DNA for clinical research. However, the quality of DNA can vary depending on the source or extraction method applied. Thus a standardized and cost-effective workflow for the qualification of DNA preparations is essential to guarantee interlaboratory reproducible results. The qualification process consists of the quantification of double strand DNA (dsDNA) and the assessment of its suitability for downstream applications, such as high-throughput next-generation sequencing. We tested the two most frequently used instrumentations to define their role in this process: NanoDrop, based on UV spectroscopy, and Qubit 2.0, which uses fluorochromes specifically binding dsDNA. Quantitative PCR (qPCR) was used as the reference technique as it simultaneously assesses DNA concentration and suitability for PCR amplification. We used 17 genomic DNAs from 6 fresh-frozen (FF) tissues, 6 formalin-fixed paraffin-embedded (FFPE) tissues, 3 cell lines, and 2 commercial preparations. Intra- and inter-operator variability was negligible, and intra-methodology variability was minimal, while consistent inter-methodology divergences were observed. In fact, NanoDrop measured DNA concentrations higher than Qubit and its consistency with dsDNA quantification by qPCR was limited to high molecular weight DNA from FF samples and cell lines, where total DNA and dsDNA quantity virtually coincide. In partially degraded DNA from FFPE samples, only Qubit proved highly reproducible and consistent with qPCR measurements. Multiplex PCR amplifying 191 regions of 46 cancer-related genes was designated the downstream application, using 40 ng dsDNA from FFPE samples calculated by Qubit. All but one sample produced amplicon libraries suitable for next-generation sequencing. NanoDrop UV-spectrum verified contamination of the unsuccessful sample. In conclusion, as qPCR has high costs and is labor intensive, an alternative effective standard workflow for qualification of DNA preparations should include the sequential combination of NanoDrop and Qubit to assess the purity and quantity of dsDNA, respectively. |
format | Online Article Text |
id | pubmed-3675123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36751232013-06-12 DNA Qualification Workflow for Next Generation Sequencing of Histopathological Samples Simbolo, Michele Gottardi, Marisa Corbo, Vincenzo Fassan, Matteo Mafficini, Andrea Malpeli, Giorgio Lawlor, Rita T. Scarpa, Aldo PLoS One Research Article Histopathological samples are a treasure-trove of DNA for clinical research. However, the quality of DNA can vary depending on the source or extraction method applied. Thus a standardized and cost-effective workflow for the qualification of DNA preparations is essential to guarantee interlaboratory reproducible results. The qualification process consists of the quantification of double strand DNA (dsDNA) and the assessment of its suitability for downstream applications, such as high-throughput next-generation sequencing. We tested the two most frequently used instrumentations to define their role in this process: NanoDrop, based on UV spectroscopy, and Qubit 2.0, which uses fluorochromes specifically binding dsDNA. Quantitative PCR (qPCR) was used as the reference technique as it simultaneously assesses DNA concentration and suitability for PCR amplification. We used 17 genomic DNAs from 6 fresh-frozen (FF) tissues, 6 formalin-fixed paraffin-embedded (FFPE) tissues, 3 cell lines, and 2 commercial preparations. Intra- and inter-operator variability was negligible, and intra-methodology variability was minimal, while consistent inter-methodology divergences were observed. In fact, NanoDrop measured DNA concentrations higher than Qubit and its consistency with dsDNA quantification by qPCR was limited to high molecular weight DNA from FF samples and cell lines, where total DNA and dsDNA quantity virtually coincide. In partially degraded DNA from FFPE samples, only Qubit proved highly reproducible and consistent with qPCR measurements. Multiplex PCR amplifying 191 regions of 46 cancer-related genes was designated the downstream application, using 40 ng dsDNA from FFPE samples calculated by Qubit. All but one sample produced amplicon libraries suitable for next-generation sequencing. NanoDrop UV-spectrum verified contamination of the unsuccessful sample. In conclusion, as qPCR has high costs and is labor intensive, an alternative effective standard workflow for qualification of DNA preparations should include the sequential combination of NanoDrop and Qubit to assess the purity and quantity of dsDNA, respectively. Public Library of Science 2013-06-06 /pmc/articles/PMC3675123/ /pubmed/23762227 http://dx.doi.org/10.1371/journal.pone.0062692 Text en © 2013 Simbolo et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Simbolo, Michele Gottardi, Marisa Corbo, Vincenzo Fassan, Matteo Mafficini, Andrea Malpeli, Giorgio Lawlor, Rita T. Scarpa, Aldo DNA Qualification Workflow for Next Generation Sequencing of Histopathological Samples |
title | DNA Qualification Workflow for Next Generation Sequencing of Histopathological Samples |
title_full | DNA Qualification Workflow for Next Generation Sequencing of Histopathological Samples |
title_fullStr | DNA Qualification Workflow for Next Generation Sequencing of Histopathological Samples |
title_full_unstemmed | DNA Qualification Workflow for Next Generation Sequencing of Histopathological Samples |
title_short | DNA Qualification Workflow for Next Generation Sequencing of Histopathological Samples |
title_sort | dna qualification workflow for next generation sequencing of histopathological samples |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675123/ https://www.ncbi.nlm.nih.gov/pubmed/23762227 http://dx.doi.org/10.1371/journal.pone.0062692 |
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