Evidence map›Paper›PMID 21715589›Full record

ArticleJournal of clinical microbiology2011

Evaluation of high-throughput sequencing for identifying known and unknown viruses in biological samples.

Justine Cheval, Virginie Sauvage, Lionel Frangeul, Laurent Dacheux, Ghislaine Guigon, Nicolas Dumey, Kevin Pariente, Claudine Rousseaux, Fabien Dorange, Nicolas Berthet and 8 more

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
19.5field-weighted citation impact, top 1% of its field
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

73 citing papers in PubMed, 162 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Agnostic Sequencing for Detection of Viral Pathogens.Clinical microbiology reviews · 2023
    Review
  5. Article
  6. Article
  7. Article
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  15. Article
  16. Review
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  18. Review
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13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 2 institutions in 1 country.

Justine ChevalInstitut Pasteur, Genotyping of Pathogens and Public Health Platform, 28 Rue du Docteur Roux, F-75015 Paris, France.
Virginie Sauvage
Lionel Frangeul
Laurent Dacheux
Ghislaine Guigon
Nicolas Dumey
Kevin Pariente
Claudine Rousseaux
Fabien Dorange
Nicolas Berthet
Sylvain Brisse
Ivan Moszer
Hervé Bourhy
Claude Jean Manuguerra
Marc Lecuit
Ana Burguiere
Valérie Caro
Marc Eloit
Institut Pasteur · FRÉcole Nationale Vétérinaire d'Alfort · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput sequencing furnishes a large number of short sequence reads from uncloned DNA and has rapidly become a major tool for identifying viruses in biological samples, and in particular when the target sequence is undefined. In this study, we assessed the analytical sensitivity of a pipeline for detection of viruses in biological samples based on either the Roche-454 genome sequencer or Illumina genome analyzer platforms. We sequenced biological samples artificially spiked with a wide range of viruses with genomes composed of single or double-stranded DNA or RNA, including linear or circular single-stranded DNA. Viruses were added at a very low concentration most often corresponding to 3 or 0.8 times the validated level of detection of quantitative reverse transcriptase PCRs (RT-PCRs). For the viruses represented, or resembling those represented, in public nucleotide sequence databases, we show that the higher output of Illumina is associated with a much greater sensitivity, approaching that of optimized quantitative (RT-)PCRs. In this blind study, identification of viruses was achieved without incorrect identification. Nevertheless, at these low concentrations, the number of reads generated by the Illumina platform was too small to facilitate assembly of contigs without the use of a reference sequence, thus precluding detection of unknown viruses. When the virus load was sufficiently high, de novo assembly permitted the generation of long contigs corresponding to nearly full-length genomes and thus should facilitate the identification of novel viruses.

Indexed as

DNA, ViralHigh-Throughput Nucleotide SequencingHumansReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityVirologyVirusesDNA, ViralRNA, Viral

Identifiers

PMID21715589
PMCPMC3165575
OpenAlexW2096770896

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.