Evidence map›Paper›PMID 21261824›Full record

ArticleMicrobial biotechnology2008

Massively parallel pathogen identification using high-density microarrays.

Nicolas Berthet, Philip Dickinson, Ingrid Filliol, Anita K Reinhardt, Christophe Batejat, Tatiana Vallaeys, Katherine A Kong, Christopher Davies, Walter Lee, Shenglan Zhang and 10 more

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Microbial biotechnology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 42 citations in OpenAlex.

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  7. The human virome: new tools and concepts.Trends in microbiology · 2013
    Review
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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

20 authors at 4 institutions in 2 countries.

Nicolas BerthetGenotyping of Pathogens and Public Health Technological Platform, Institut Pasteur, Paris, France.
Philip Dickinson
Ingrid Filliol
Anita K Reinhardt
Christophe Batejat
Tatiana Vallaeys
Katherine A Kong
Christopher Davies
Walter Lee
Shenglan Zhang
Yaron Turpaz
Beate Heym
Gilberte Coralie
Laurent Dacheux
Ana Maria Burguière
Hervé Bourhy
Iain G Old
Jean-Claude Manuguerra
Stewart T Cole
Giulia C Kennedy
Clonexpress · USComputer Emergency Response Team · FRInstitut Pasteur · FRHôpital Ambroise-Paré · FR

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

Identification of microbial pathogens in clinical specimens is still performed by phenotypic methods that are often slow and cumbersome, despite the availability of more comprehensive genotyping technologies. We present an approach based on whole-genome amplification and resequencing microarrays for unbiased pathogen detection. This 10 h process identifies a broad spectrum of bacterial and viral species and predicts antibiotic resistance and pathogenicity and virulence profiles. We successfully identify a variety of bacteria and viruses, both in isolation and in complex mixtures, and the high specificity of the microarray distinguishes between different pathogens that cause diseases with overlapping symptoms. The resequencing approach also allows identification of organisms whose sequences are not tiled on the array, greatly expanding the repertoire of identifiable organisms and their variants. We identify organisms by hybridization of their DNA in as little as 1-4 h. Using this method, we identified Monkeypox virus and drug-resistant Staphylococcus aureus in a skin lesion taken from a child suspected of an orthopoxvirus infection, despite poor transport conditions of the sample, and a vast excess of human DNA. Our results suggest this technology could be applied in a clinical setting to test for numerous pathogens in a rapid, sensitive and unbiased manner.

Indexed as

BacteriaBacterial InfectionsBase SequenceDNA, BacterialDNA, ViralDrug Resistance, BacterialDrug Resistance, ViralHumansMolecular Sequence DataOligonucleotide Array Sequence AnalysisVirus DiseasesVirusesDNA, BacterialDNA, Viral

Identifiers

PMID21261824
PMCPMC3864434
OpenAlexW2083282906

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.