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Parallel DNA Extraction From Whole Blood for Rapid Sample Generation in Genetic Epidemiological Studies
Large-scale genetic epidemiological studies require high-quality analysis of samples such as blood or saliva from multiple patients, which is challenging at the point of care. To expand these studies’ impact, minimal sample storage time and less complex extraction of a substantial quantity and good...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201099/ https://www.ncbi.nlm.nih.gov/pubmed/32411178 http://dx.doi.org/10.3389/fgene.2020.00374 |
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author | Lee, Kiara Tripathi, Anubhav |
author_facet | Lee, Kiara Tripathi, Anubhav |
author_sort | Lee, Kiara |
collection | PubMed |
description | Large-scale genetic epidemiological studies require high-quality analysis of samples such as blood or saliva from multiple patients, which is challenging at the point of care. To expand these studies’ impact, minimal sample storage time and less complex extraction of a substantial quantity and good purity of DNA or RNA for downstream applications are necessary. Here, a simple microfluidics-based system that performs genomic DNA (gDNA) extraction from whole blood was developed. In this system, a mixture of blood lysate, paramagnetic beads, and binding buffer are first placed into the input well. Then, the gDNA-bound paramagnetic beads are pulled using a magnet through a central channel containing a wash buffer to the output well, which contains elution buffer. The gDNA is eluted at 55°C off the chip. The 40-minute microfluidic protocol extracts gDNA from six samples simultaneously and requires an input of 4 μL of diluted blood and a total reagent volume of 75 μL per reaction. Techniques including quantitative PCR (qPCR) and spectrofluorimetry were used to test the purity and quantity of gDNA eluted from the chip following extraction. Bead transport and molecular diffusional analysis showed that an input of less than 4 ng of gDNA (∼667 white blood cells) is optimal for on-chip extraction. There was no observable transport of inhibitors into the eluate that would greatly affect qPCR, and a sample was successfully prepared for next-generation sequencing (NGS). The microfluidics-based extraction of DNA from whole blood described here is paramount for future work in DNA-based point-of-care diagnostics and NGS library workflows. |
format | Online Article Text |
id | pubmed-7201099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72010992020-05-14 Parallel DNA Extraction From Whole Blood for Rapid Sample Generation in Genetic Epidemiological Studies Lee, Kiara Tripathi, Anubhav Front Genet Genetics Large-scale genetic epidemiological studies require high-quality analysis of samples such as blood or saliva from multiple patients, which is challenging at the point of care. To expand these studies’ impact, minimal sample storage time and less complex extraction of a substantial quantity and good purity of DNA or RNA for downstream applications are necessary. Here, a simple microfluidics-based system that performs genomic DNA (gDNA) extraction from whole blood was developed. In this system, a mixture of blood lysate, paramagnetic beads, and binding buffer are first placed into the input well. Then, the gDNA-bound paramagnetic beads are pulled using a magnet through a central channel containing a wash buffer to the output well, which contains elution buffer. The gDNA is eluted at 55°C off the chip. The 40-minute microfluidic protocol extracts gDNA from six samples simultaneously and requires an input of 4 μL of diluted blood and a total reagent volume of 75 μL per reaction. Techniques including quantitative PCR (qPCR) and spectrofluorimetry were used to test the purity and quantity of gDNA eluted from the chip following extraction. Bead transport and molecular diffusional analysis showed that an input of less than 4 ng of gDNA (∼667 white blood cells) is optimal for on-chip extraction. There was no observable transport of inhibitors into the eluate that would greatly affect qPCR, and a sample was successfully prepared for next-generation sequencing (NGS). The microfluidics-based extraction of DNA from whole blood described here is paramount for future work in DNA-based point-of-care diagnostics and NGS library workflows. Frontiers Media S.A. 2020-04-29 /pmc/articles/PMC7201099/ /pubmed/32411178 http://dx.doi.org/10.3389/fgene.2020.00374 Text en Copyright © 2020 Lee and Tripathi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Lee, Kiara Tripathi, Anubhav Parallel DNA Extraction From Whole Blood for Rapid Sample Generation in Genetic Epidemiological Studies |
title | Parallel DNA Extraction From Whole Blood for Rapid Sample Generation in Genetic Epidemiological Studies |
title_full | Parallel DNA Extraction From Whole Blood for Rapid Sample Generation in Genetic Epidemiological Studies |
title_fullStr | Parallel DNA Extraction From Whole Blood for Rapid Sample Generation in Genetic Epidemiological Studies |
title_full_unstemmed | Parallel DNA Extraction From Whole Blood for Rapid Sample Generation in Genetic Epidemiological Studies |
title_short | Parallel DNA Extraction From Whole Blood for Rapid Sample Generation in Genetic Epidemiological Studies |
title_sort | parallel dna extraction from whole blood for rapid sample generation in genetic epidemiological studies |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201099/ https://www.ncbi.nlm.nih.gov/pubmed/32411178 http://dx.doi.org/10.3389/fgene.2020.00374 |
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