Evidence map›Paper›PMID 15131170›Full record

ArticleJournal of clinical microbiology2004

DNA macroarray for identification and typing of Staphylococcus aureus isolates.

Salim Trad, Jeanine Allignet, Lionel Frangeul, Marilyne Davi, Massimo Vergassola, Elisabeth Couve, Anne Morvan, Amel Kechrid, Carmen Buchrieser, Philippe Glaser and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

21 citing papers in PubMed, 43 citations in OpenAlex.

  1. Phylogenetic Analysis and Structural Evaluation ofbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Virulence factors and clonal diversity of Staphylococcus aureus in colonization and wound infection with emphasis on diabetic foot infection.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Review
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  18. Microcoding: the second step in DNA barcoding.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2005
    Review
  19. Article
  20. The carriage of the serine-aspartate repeat protein-encoding sdr genes among Staphylococcus aureus lineages.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    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

11 authors at 3 institutions in 1 country.

Salim TradDépartement Ecosystèmes et Epidémiologie des Maladies Infectieuses, Institut Pasteur, Paris, France.
Jeanine Allignet
Lionel Frangeul
Marilyne Davi
Massimo Vergassola
Elisabeth Couve
Anne Morvan
Amel Kechrid
Carmen Buchrieser
Philippe Glaser
Névine El-Solh
Centre d'Immunologie et des Maladies Infectieuses · FRInstitut Pasteur · FRGenopole (France) · FR

Funding

NETWORK ON ANTIMICROBIAL RESISTANCE IN STAPHTLOCOCCUS AN01AI095359 · NIAID · FOCUS/MRL, INC.-MRL PHARMACEUTICAL SRVS · PI SAHM, DANIEL F · 1999 to 2000
$495k
NIAID NIH HHS N01 AI095359
6 · The paper itself

Abstract

A DNA macroarray containing 465 intragenic amplicons was designed to identify Staphylococcus aureus at the species level and to type S. aureus isolates. The genes selected included those encoding (i) S. aureus-specific proteins, (ii) staphylococcal and enterococcal proteins mediating antibiotic resistance and factors involved in their expression, (iii) putative virulence proteins and factors controlling their expression, and (iv) proteins produced by mobile elements. The macroarray was hybridized with the cellular DNAs of 80 S. aureus clinical isolates that were previously typed by analyses of their antibiograms and SmaI patterns. The set selected contained unrelated, endemic, and outbreak-related isolates belonging to 45 SmaI genotypes. In a gene content dendrogram, the 80 isolates were distributed into 52 clusters. The outbreak-related isolates were linked in the same or a closely related cluster(s). Clustering based on gene content provided a better discrimination than SmaI pattern analysis for the tested mecA(+) isolates that were endemic to Europe. All of the antibiotic resistance genes detected could be correlated with their corresponding phenotypes, except for one isolate which carried a mecA gene without being resistant. The 16 isolates responsible for bone infections were distinguishable from the 12 isolates from uninfected nasal carriers by a significantly higher prevalence of the sdrD gene coding for a putative SD (serine-aspartate) adhesin (in 15 and 7 isolates, respectively). In conclusion, the macroarray designed for this study offers an attractive and rapid typing method which has the advantage of providing additional information concerning the gene content of the isolate of interest.

Indexed as

Bacterial ProteinsBacterial Typing TechniquesCluster AnalysisDNA, BacterialDrug Resistance, BacterialGenes, BacterialHumansOligonucleotide Array Sequence AnalysisPenicillin-Binding ProteinsPhenotypePhylogenyStaphylococcus aureusBacterial ProteinsDNA, BacterialmecA protein, Staphylococcus aureusPenicillin-Binding Proteins

Identifiers

PMID15131170
PMCPMC404631
OpenAlexW2134508800

What OpenQuestion holds

Textmetadata
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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.