Evidence map›Paper›PMID 26699702›Full record

ArticleJournal of clinical microbiology2016

A Pan-HIV Strategy for Complete Genome Sequencing.

Michael G Berg, Julie Yamaguchi, Elodie Alessandri-Gradt, Robert W Tell, Jean-Christophe Plantier, Catherine A Brennan

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. First Evidence of Spillover ofTransboundary and emerging diseases · 2025
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  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Evaluation of Phylogenetic Methods for Inferring the Direction of Human Immunodeficiency Virus (HIV) Transmission: HIV Prevention Trials Network (HPTN) 052.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Brief Report: Complete Genome Sequence of CG-0018a-01 Establishes HIV-1 Subtype L.Journal of acquired immune deficiency syndromes (1999) · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Michael G BergInfectious Diseases Research, Abbott Diagnostics, Abbott Park, Illinois, USA michael.berg@abbott.com.
Julie YamaguchiInfectious Diseases Research, Abbott Diagnostics, Abbott Park, Illinois, USA.
Elodie Alessandri-GradtVirology Unit, National Reference for HIV, Centre Hospitalier Universitaire de Rouen, Rouen, France.
Robert W TellInfectious Diseases Research, Abbott Diagnostics, Abbott Park, Illinois, USA.
Jean-Christophe PlantierVirology Unit, National Reference for HIV, Centre Hospitalier Universitaire de Rouen, Rouen, France.ORCID http://orcid.org/0000-0001-6417-4083
Catherine A BrennanInfectious Diseases Research, Abbott Diagnostics, Abbott Park, Illinois, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular surveillance is essential to monitor HIV diversity and track emerging strains. We have developed a universal library preparation method (HIV-SMART [i.e.,switchingmechanismat 5' end ofRNAtranscript]) for next-generation sequencing that harnesses the specificity of HIV-directed priming to enable full genome characterization of all HIV-1 groups (M, N, O, and P) and HIV-2. Broad application of the HIV-SMART approach was demonstrated using a panel of diverse cell-cultured virus isolates. HIV-1 non-subtype B-infected clinical specimens from Cameroon were then used to optimize the protocol to sequence directly from plasma. When multiplexing 8 or more libraries per MiSeq run, full genome coverage at a median ∼2,000× depth was routinely obtained for either sample type. The method reproducibly generated the same consensus sequence, consistently identified viral sequence heterogeneity present in specimens, and at viral loads of ≤4.5 log copies/ml yielded sufficient coverage to permit strain classification. HIV-SMART provides an unparalleled opportunity to identify diverse HIV strains in patient specimens and to determine phylogenetic classification based on the entire viral genome. Easily adapted to sequence any RNA virus, this technology illustrates the utility of next-generation sequencing (NGS) for viral characterization and surveillance.

Indexed as

Genome, ViralCameroonGenotypeHigh-Throughput Nucleotide SequencingHIVHIV InfectionsHumansPhylogenyPlasmaSequence Analysis, DNA

Identifiers

PMID26699702
PMCPMC4809961

What OpenQuestion holds

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Registered trials

None linked

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.