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Next-generation sequencing of HIV-1 single genome amplicons.
Kijak, Gustavo H; Sanders-Buell, Eric; Pham, Phuc; Harbolick, Elizabeth A; Oropeza, Celina; O'Sullivan, Anne Marie; Bose, Meera; Beckett, Charmagne G; Milazzo, Mark; Robb, Merlin L; Peel, Sheila A; Scott, Paul T; Michael, Nelson L; Armstrong, Adam W; Kim, Jerome H; Brett-Major, David M; Tovanabutra, Sodsai.
Afiliação
  • Kijak GH; U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
  • Sanders-Buell E; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States.
  • Pham P; U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
  • Harbolick EA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States.
  • Oropeza C; U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
  • O'Sullivan AM; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States.
  • Bose M; U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
  • Beckett CG; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States.
  • Milazzo M; U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
  • Robb ML; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States.
  • Peel SA; U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
  • Scott PT; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States.
  • Michael NL; U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
  • Armstrong AW; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States.
  • Kim JH; Navy Bloodborne Infection Management Center, Bethesda, MD, United States.
  • Brett-Major DM; U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
  • Tovanabutra S; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States.
Biomol Detect Quantif ; 17: 100080, 2019 Mar.
Article em En | MEDLINE | ID: mdl-30923677
ABSTRACT
The analysis of HIV-1 sequences has helped understand the viral molecular epidemiology, monitor the development of antiretroviral drug resistance, and design candidate vaccines. The introduction of single genome amplification (SGA) has been a major advancement in the field, allowing for the characterization of multiple sequences per patient while preserving linkage among polymorphisms in the same viral genome copy. Sequencing of SGA amplicons is performed by capillary Sanger sequencing, which presents low throughput, requires a high amount of template, and is highly sensitive to template/primer mismatching. In order to meet the increasing demand for HIV-1 SGA amplicon sequencing, we have developed a platform based on benchtop next-generation sequencing (NGS) (IonTorrent) accompanied by a bioinformatics pipeline capable of running on computer resources commonly available at research laboratories. During assay validation, the NGS-based sequencing of 10 HIV-1 env SGA amplicons was fully concordant with Sanger sequencing. The field test was conducted on plasma samples from 10 US Navy and Marine service members with recent HIV-1 infection (sampling interval 2005-2010; plasma viral load 5,884-194,984 copies/ml). The NGS analysis of 101 SGA amplicons (median 10 amplicons/individual) showed within-individual viral sequence profiles expected in individuals at this disease stage, including individuals with highly homogeneous quasispecies, individuals with two highly homogeneous viral lineages, and individuals with heterogeneous viral populations. In a scalability assessment using the Ion Chef automated system, 41/43 tested env SGA amplicons (95%) multiplexed on a single Ion 318 chip showed consistent gene-wide coverage >50×. With lower sample requirements and higher throughput, this approach is suitable to support the increasing demand for high-quality and cost-effective HIV-1 sequences in fields such as molecular epidemiology, and development of preventive and therapeutic strategies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Biomol Detect Quantif Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Biomol Detect Quantif Ano de publicação: 2019 Tipo de documento: Article