Evidence map›Paper›PMID 21187950›Full record

ArticlePloS one2010

Reconstructed ancestral sequences improve pathogen identification using resequencing DNA microarrays.

Nicolas Berthet, Alexis Deletoile, Virginie Passet, Giulia C Kennedy, Jean-Claude Manuguerra, Stewart T Cole, Sylvain Brisse

Abstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

7 authors.

Nicolas BerthetInstitut Pasteur, Genotyping of Pathogens and Public Health, Paris, France.
Alexis Deletoile
Virginie Passet
Giulia C Kennedy
Jean-Claude Manuguerra
Stewart T Cole
Sylvain Brisse

Funding

Pathogen and Genetic Element Detection Using MicroarraysUC1AI062613 · NIAID · AFFYMETRIX, INC. · PI KENNEDY, GUILIA C · 2004 to 2004
$2.1M
NIAID NIH HHS UC1 AI062613NIAID NIH HHS UCI AI062613
6 · The paper itself

Abstract

We describe the benefit of using reconstructed ancestral sequences (RAS) on resequencing microarrays for rapid pathogen identification, with Enterobacteriaceae rpoB sequences as a model. Our results demonstrate a sharp improvement of call rate and accuracy when using RASs as compared to extant sequences. This improvement was attributed to the lower sequence divergence of RASs, which also expanded the sequence space covered by the microarray. Extension of this novel microarray design strategy to viruses, antimicrobial resistance elements or toxins is straightforward.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsBacterial Typing TechniquesDatabases, ProteinDNA-Directed RNA PolymerasesDrug Resistance, BacterialEnterobacteriaceaeEscherichia coli ProteinsEvolution, MolecularGene Expression Regulation, BacterialGenes, BacterialModels, GeneticNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisPhylogenySequence Analysis, DNAAnti-Bacterial AgentsBacterial ProteinsDNA-Directed RNA PolymerasesEscherichia coli ProteinsrpoB protein, E coli

Identifiers

PMID21187950
PMCPMC3004854

What OpenQuestion holds

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LicenceCC BY
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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.