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Improved resolution of mixed STR profiles using a fully automated differential cell lysis/DNA extraction method
Sexual assault evidence often contains sperm cells, which are typically separated from nonsperm cells using manual differential lysis procedures. The goal of this study was to evaluate the automated QIAGEN QIAcube for this purpose and to compare it to manual QIAGEN and manual organic differential me...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476624/ https://www.ncbi.nlm.nih.gov/pubmed/32939426 http://dx.doi.org/10.1080/20961790.2019.1646479 |
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author | Goldstein, Matthew C. Cox, Jordan O. Seman, Lori B. Cruz, Tracey Dawson |
author_facet | Goldstein, Matthew C. Cox, Jordan O. Seman, Lori B. Cruz, Tracey Dawson |
author_sort | Goldstein, Matthew C. |
collection | PubMed |
description | Sexual assault evidence often contains sperm cells, which are typically separated from nonsperm cells using manual differential lysis procedures. The goal of this study was to evaluate the automated QIAGEN QIAcube for this purpose and to compare it to manual QIAGEN and manual organic differential methods using DNA yields and STR profile data for assessment. DNA yields were determined by qPCR, followed by multiplex STR amplification, CE analysis, and mixture interpretation. The automated method was capable of effective cell separation, producing DNA yields sufficient for STR amplification. Further, sperm fraction human:male DNA ratios from the QIAcube samples were consistently closer to the desired 1:1 and STR profiles were less likely to result in mixtures, with 6–8× fewer female alleles detected (median 1.5 alleles). Ultimately, using the QIAcube for automated differential processing of semen-containing mixtures reduces the need for downstream mixture interpretation and improves STR profile quality with substantially less hands-on time. |
format | Online Article Text |
id | pubmed-7476624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-74766242020-09-15 Improved resolution of mixed STR profiles using a fully automated differential cell lysis/DNA extraction method Goldstein, Matthew C. Cox, Jordan O. Seman, Lori B. Cruz, Tracey Dawson Forensic Sci Res Original Articles Sexual assault evidence often contains sperm cells, which are typically separated from nonsperm cells using manual differential lysis procedures. The goal of this study was to evaluate the automated QIAGEN QIAcube for this purpose and to compare it to manual QIAGEN and manual organic differential methods using DNA yields and STR profile data for assessment. DNA yields were determined by qPCR, followed by multiplex STR amplification, CE analysis, and mixture interpretation. The automated method was capable of effective cell separation, producing DNA yields sufficient for STR amplification. Further, sperm fraction human:male DNA ratios from the QIAcube samples were consistently closer to the desired 1:1 and STR profiles were less likely to result in mixtures, with 6–8× fewer female alleles detected (median 1.5 alleles). Ultimately, using the QIAcube for automated differential processing of semen-containing mixtures reduces the need for downstream mixture interpretation and improves STR profile quality with substantially less hands-on time. Taylor & Francis 2019-08-20 /pmc/articles/PMC7476624/ /pubmed/32939426 http://dx.doi.org/10.1080/20961790.2019.1646479 Text en © 2019 The Author(s). Published by Taylor & Francis Group on behalf of the Academy of Forensic Science https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Goldstein, Matthew C. Cox, Jordan O. Seman, Lori B. Cruz, Tracey Dawson Improved resolution of mixed STR profiles using a fully automated differential cell lysis/DNA extraction method |
title | Improved resolution of mixed STR profiles using a fully automated differential cell lysis/DNA extraction method |
title_full | Improved resolution of mixed STR profiles using a fully automated differential cell lysis/DNA extraction method |
title_fullStr | Improved resolution of mixed STR profiles using a fully automated differential cell lysis/DNA extraction method |
title_full_unstemmed | Improved resolution of mixed STR profiles using a fully automated differential cell lysis/DNA extraction method |
title_short | Improved resolution of mixed STR profiles using a fully automated differential cell lysis/DNA extraction method |
title_sort | improved resolution of mixed str profiles using a fully automated differential cell lysis/dna extraction method |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476624/ https://www.ncbi.nlm.nih.gov/pubmed/32939426 http://dx.doi.org/10.1080/20961790.2019.1646479 |
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