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A MiSeq-HyDRA platform for enhanced HIV drug resistance genotyping and surveillance

Conventional HIV drug resistance (HIVDR) genotyping utilizes Sanger sequencing (SS) methods, which are limited by low data throughput and the inability of detecting low abundant drug resistant variants (LADRVs). Here we present a next generation sequencing (NGS)-based HIVDR typing platform that leve...

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Autores principales: Taylor, Tracy, Lee, Emma R., Nykoluk, Mikaela, Enns, Eric, Liang, Binhua, Capina, Rupert, Gauthier, Marie-Krystel, Domselaar, Gary Van, Sandstrom, Paul, Brooks, James, Ji, Hezhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586679/
https://www.ncbi.nlm.nih.gov/pubmed/31222149
http://dx.doi.org/10.1038/s41598-019-45328-3
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author Taylor, Tracy
Lee, Emma R.
Nykoluk, Mikaela
Enns, Eric
Liang, Binhua
Capina, Rupert
Gauthier, Marie-Krystel
Domselaar, Gary Van
Sandstrom, Paul
Brooks, James
Ji, Hezhao
author_facet Taylor, Tracy
Lee, Emma R.
Nykoluk, Mikaela
Enns, Eric
Liang, Binhua
Capina, Rupert
Gauthier, Marie-Krystel
Domselaar, Gary Van
Sandstrom, Paul
Brooks, James
Ji, Hezhao
author_sort Taylor, Tracy
collection PubMed
description Conventional HIV drug resistance (HIVDR) genotyping utilizes Sanger sequencing (SS) methods, which are limited by low data throughput and the inability of detecting low abundant drug resistant variants (LADRVs). Here we present a next generation sequencing (NGS)-based HIVDR typing platform that leverages the advantages of Illumina MiSeq and HyDRA Web. The platform consists of a fully validated sample processing protocol and HyDRA web, an open web portal that allows automated customizable NGS-based HIVDR data processing. This platform was characterized and validated using a panel of HIV-spiked plasma representing all major HIV-1 subtypes, pedigreed plasmids, HIVDR proficiency specimens and clinical specimens. All examined major HIV-1 subtypes were consistently amplified at viral loads of ≥1,000 copies/ml. The gross error rate of this platform was determined at 0.21%, and minor variations were reliably detected down to 0.50% in plasmid mixtures. All HIVDR mutations identifiable by SS were detected by the MiSeq-HyDRA protocol, while LADRVs at frequencies of 1~15% were detected by MiSeq-HyDRA only. As compared to SS approaches, the MiSeq-HyDRA platform has several notable advantages including reduced cost and labour, and increased sensitivity for LADRVs, making it suitable for routine HIVDR monitoring for both patient care and surveillance purposes.
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spelling pubmed-65866792019-06-26 A MiSeq-HyDRA platform for enhanced HIV drug resistance genotyping and surveillance Taylor, Tracy Lee, Emma R. Nykoluk, Mikaela Enns, Eric Liang, Binhua Capina, Rupert Gauthier, Marie-Krystel Domselaar, Gary Van Sandstrom, Paul Brooks, James Ji, Hezhao Sci Rep Article Conventional HIV drug resistance (HIVDR) genotyping utilizes Sanger sequencing (SS) methods, which are limited by low data throughput and the inability of detecting low abundant drug resistant variants (LADRVs). Here we present a next generation sequencing (NGS)-based HIVDR typing platform that leverages the advantages of Illumina MiSeq and HyDRA Web. The platform consists of a fully validated sample processing protocol and HyDRA web, an open web portal that allows automated customizable NGS-based HIVDR data processing. This platform was characterized and validated using a panel of HIV-spiked plasma representing all major HIV-1 subtypes, pedigreed plasmids, HIVDR proficiency specimens and clinical specimens. All examined major HIV-1 subtypes were consistently amplified at viral loads of ≥1,000 copies/ml. The gross error rate of this platform was determined at 0.21%, and minor variations were reliably detected down to 0.50% in plasmid mixtures. All HIVDR mutations identifiable by SS were detected by the MiSeq-HyDRA protocol, while LADRVs at frequencies of 1~15% were detected by MiSeq-HyDRA only. As compared to SS approaches, the MiSeq-HyDRA platform has several notable advantages including reduced cost and labour, and increased sensitivity for LADRVs, making it suitable for routine HIVDR monitoring for both patient care and surveillance purposes. Nature Publishing Group UK 2019-06-20 /pmc/articles/PMC6586679/ /pubmed/31222149 http://dx.doi.org/10.1038/s41598-019-45328-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Taylor, Tracy
Lee, Emma R.
Nykoluk, Mikaela
Enns, Eric
Liang, Binhua
Capina, Rupert
Gauthier, Marie-Krystel
Domselaar, Gary Van
Sandstrom, Paul
Brooks, James
Ji, Hezhao
A MiSeq-HyDRA platform for enhanced HIV drug resistance genotyping and surveillance
title A MiSeq-HyDRA platform for enhanced HIV drug resistance genotyping and surveillance
title_full A MiSeq-HyDRA platform for enhanced HIV drug resistance genotyping and surveillance
title_fullStr A MiSeq-HyDRA platform for enhanced HIV drug resistance genotyping and surveillance
title_full_unstemmed A MiSeq-HyDRA platform for enhanced HIV drug resistance genotyping and surveillance
title_short A MiSeq-HyDRA platform for enhanced HIV drug resistance genotyping and surveillance
title_sort miseq-hydra platform for enhanced hiv drug resistance genotyping and surveillance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586679/
https://www.ncbi.nlm.nih.gov/pubmed/31222149
http://dx.doi.org/10.1038/s41598-019-45328-3
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