Evidence map›Paper›PMID 16723563›Full record

ArticleAntimicrobial agents and chemotherapy2006

DNA microarray for detection of macrolide resistance genes.

Marco Cassone, Marco M D'Andrea, Francesco Iannelli, Marco R Oggioni, Gian Maria Rossolini, Gianni Pozzi

Open access · greenAbstract readComparative Study
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Molecular Mechanisms of Drug Resistance inInternational journal of molecular sciences · 2022
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. CEM-101 activity against Gram-positive organisms.Antimicrobial agents and chemotherapy · 2010
    Article
  9. Article
  10. Article
  11. Article
  12. 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

6 authors at 2 institutions in 2 countries.

Marco CassoneLAMMB, Università di Siena, Policlinico Le Scotte/V Lotto, Italy.
Marco M D'Andrea
Francesco Iannelli
Marco R Oggioni
Gian Maria Rossolini
Gianni Pozzi
LAM Foundation · USUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A DNA microarray was developed to detect bacterial genes conferring resistance to macrolides and related antibiotics. A database containing 65 nonredundant genes selected from publicly available DNA sequences was constructed and used to design 100 oligonucleotide probes that could specifically detect and discriminate all 65 genes. Probes were spotted on a glass slide, and the array was reacted with DNA templates extracted from 20 reference strains of eight different bacterial species (Streptococcus pneumoniae, Streptococcus pyogenes, Enterococcus faecalis, Enterococcus faecium, Staphylococcus aureus, Staphylococcus haemolyticus, Escherichia coli, and Bacteroides fragilis) known to harbor 29 different macrolide resistance genes. Hybridization results showed that probes reacted with, and only with, the expected DNA templates and allowed discovery of three unexpected genes, including msr(SA) in B. fragilis, an efflux gene that has not yet been described for gram-negative bacteria.

Indexed as

Genes, BacterialAnti-Bacterial AgentsDatabases, GeneticDNA, BacterialDNA ProbesDrug Resistance, BacterialGram-Negative BacteriaGram-Positive BacteriaMacrolidesNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisTemplates, GeneticAnti-Bacterial AgentsDNA, BacterialDNA ProbesMacrolides

Identifiers

PMID16723563
PMCPMC1479117
OpenAlexW2140101856

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.