Evidence map›Paper›PMID 20610710›Full record

ArticleJournal of virology2010

Application of broad-spectrum resequencing microarray for genotyping rhabdoviruses.

Laurent Dacheux, Nicolas Berthet, Gabriel Dissard, Edward C Holmes, Olivier Delmas, Florence Larrous, Ghislaine Guigon, Philip Dickinson, Ousmane Faye, Amadou A Sall and 8 more

Abstract readEvaluation Study
In one paragraph

Article in Journal of virology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  4. Review
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  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Pathogen chip for respiratory tract infections.Journal of clinical microbiology · 2013
    Article
  18. Molecular diagnostic and genetic characterization of highly pathogenic viruses: application during Crimean-Congo haemorrhagic fever virus outbreaks in Eastern Europe and the Middle East.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2013
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Laurent DacheuxInstitut Pasteur, Lyssavirus Dynamics and Host Adaptation Unit, Paris, France.
Nicolas Berthet
Gabriel Dissard
Edward C Holmes
Olivier Delmas
Florence Larrous
Ghislaine Guigon
Philip Dickinson
Ousmane Faye
Amadou A Sall
Iain G Old
Katherine Kong
Giulia C Kennedy
Jean-Claude Manuguerra
Stewart T Cole
Valérie Caro
Antoine Gessain
Hervé Bourhy

Funding

Pathogen and Genetic Element Detection Using MicroarraysUC1AI062613 · NIAID · AFFYMETRIX, INC. · PI KENNEDY, GUILIA C · 2004 to 2004
$2.1M
NIAID NIH HHS UC1 AI062613
6 · The paper itself

Abstract

The rapid and accurate identification of pathogens is critical in the control of infectious disease. To this end, we analyzed the capacity for viral detection and identification of a newly described high-density resequencing microarray (RMA), termed PathogenID, which was designed for multiple pathogen detection using database similarity searching. We focused on one of the largest and most diverse viral families described to date, the family Rhabdoviridae. We demonstrate that this approach has the potential to identify both known and related viruses for which precise sequence information is unavailable. In particular, we demonstrate that a strategy based on consensus sequence determination for analysis of RMA output data enabled successful detection of viruses exhibiting up to 26% nucleotide divergence with the closest sequence tiled on the array. Using clinical specimens obtained from rabid patients and animals, this method also shows a high species level concordance with standard reference assays, indicating that it is amenable for the development of diagnostic assays. Finally, 12 animal rhabdoviruses which were currently unclassified, unassigned, or assigned as tentative species within the family Rhabdoviridae were successfully detected. These new data allowed an unprecedented phylogenetic analysis of 106 rhabdoviruses and further suggest that the principles and methodology developed here may be used for the broad-spectrum surveillance and the broader-scale investigation of biodiversity in the viral world.

Indexed as

AnimalsCluster AnalysisGenotypeHumansMolecular Sequence DataPhylogenyRhabdoviridaeRhabdoviridae InfectionsRNA, ViralSensitivity and SpecificitySequence Analysis, DNAVirologyRNA, Viral

Identifiers

PMID20610710
PMCPMC2937603

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.