ArticlePloS one2012
Use of four next-generation sequencing platforms to determine HIV-1 coreceptor tropism.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
47 citing papers in PubMed.
- Evolution of Multiple Domains of the HIV-1 Envelope Glycoprotein during Coreceptor Switch with CCR5 Antagonist Therapy.Microbiology spectrum · 2022Trial
- Comparison of illumina and 454 deep sequencing in participants failing raltegravir-based antiretroviral therapy.PloS one · 2014Trial
- Genotypic analysis of the V3 region of HIV from virologic nonresponders to maraviroc-containing regimens reveals distinct patterns of failure.Antimicrobial agents and chemotherapy · 2013Trial
- Reduced and highly diverse peripheral HIV-1 reservoir in virally suppressed patients infected with non-B HIV-1 strains in Uganda.Retrovirology · 2022Article
- Application of Next Generation Sequencing in Laboratory Medicine.Annals of laboratory medicine · 2021Review
- Compartmentalization and Clonal Amplification of HIV-1 in the Male Genital Tract Characterized Using Next-Generation Sequencing.Journal of virology · 2020Article
- Single-molecular real-time deep sequencing reveals the dynamics of multi-drug resistant haplotypes and structural variations in the hepatitis C virus genome.Scientific reports · 2020Article
- Exploring the hepatitis C virus genome using single molecule real-time sequencing.World journal of gastroenterology · 2019Review
- Next-generation sequencing of HIV-1 single genome amplicons.Biomolecular detection and quantification · 2019Article
- Characterization of minority HIV-1 drug resistant variants in the United Kingdom following the verification of a deep sequencing-based HIV-1 genotyping and tropism assay.AIDS research and therapy · 2018Article
- geno2pheno[ngs-freq]: a genotypic interpretation system for identifying viral drug resistance using next-generation sequencing data.Nucleic acids research · 2018Article
- A heterogeneous human immunodeficiency virus-like particle (VLP) formulation produced by a novel vector system.NPJ vaccines · 2018Article
- Universal Target Capture of HIV Sequences From NGS Libraries.Frontiers in microbiology · 2018Article
- Higher sequence diversity in the vaginal tract than in blood at early HIV-1 infection.PLoS pathogens · 2018Article
- Blood CXCR3Frontiers in immunology · 2018Article
- Application of viromics: a new approach to the understanding of viral infections in humans.Virusdisease · 2017Review
- Intrasubtype B HIV-1 Superinfection Correlates with Delayed Neutralizing Antibody Response.Journal of virology · 2017Article
- Evolution of selective-sequencing approaches for virus discovery and virome analysis.Virus research · 2017Review
- Statistical method to compare massive parallel sequencing pipelines.BMC bioinformatics · 2017Article
- Performance comparison of next-generation sequencing platforms for determining HIV-1 coreceptor use.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
HIV-1 coreceptor tropism assays are required to rule out the presence of CXCR4-tropic (non-R5) viruses prior treatment with CCR5 antagonists. Phenotypic (e.g., Trofile™, Monogram Biosciences) and genotypic (e.g., population sequencing linked to bioinformatic algorithms) assays are the most widely used. Although several next-generation sequencing (NGS) platforms are available, to date all published deep sequencing HIV-1 tropism studies have used the 454™ Life Sciences/Roche platform. In this study, HIV-1 co-receptor usage was predicted for twelve patients scheduled to start a maraviroc-based antiretroviral regimen. The V3 region of the HIV-1 env gene was sequenced using four NGS platforms: 454™, PacBio® RS (Pacific Biosciences), Illumina®, and Ion Torrent™ (Life Technologies). Cross-platform variation was evaluated, including number of reads, read length and error rates. HIV-1 tropism was inferred using Geno2Pheno, Web PSSM, and the 11/24/25 rule and compared with Trofile™ and virologic response to antiretroviral therapy. Error rates related to insertions/deletions (indels) and nucleotide substitutions introduced by the four NGS platforms were low compared to the actual HIV-1 sequence variation. Each platform detected all major virus variants within the HIV-1 population with similar frequencies. Identification of non-R5 viruses was comparable among the four platforms, with minor differences attributable to the algorithms used to infer HIV-1 tropism. All NGS platforms showed similar concordance with virologic response to the maraviroc-based regimen (75% to 80% range depending on the algorithm used), compared to Trofile (80%) and population sequencing (70%). In conclusion, all four NGS platforms were able to detect minority non-R5 variants at comparable levels suggesting that any NGS-based method can be used to predict HIV-1 coreceptor usage.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.