Evidence map›Paper›PMID 15963225›Full record

ArticleBMC genomics2005

A generic approach for the design of whole-genome oligoarrays, validated for genomotyping, deletion mapping and gene expression analysis on Staphylococcus aureus.

Yvan Charbonnier, Brian Gettler, Patrice François, Manuela Bento, Adriana Renzoni, Pierre Vaudaux, Werner Schlegel, Jacques Schrenzel

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
11.8field-weighted citation impact, top 1% 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

48 citing papers in PubMed, 104 citations in OpenAlex.

  1. Microorganisms · 2021
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  2. The Disulfide Stress Response and ProteinAntioxidants (Basel, Switzerland) · 2019
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  5. Thiol-based redox switches in prokaryotes.Biological chemistry · 2015
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  12. Global analysis of the Staphylococcus aureus response to mupirocin.Antimicrobial agents and chemotherapy · 2012
    Article
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  14. Article
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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

8 authors at 2 institutions in 1 country.

Yvan CharbonnierGenomic Research Laboratory, University Hospitals of Geneva, rue Micheli-du-Crest 24, CH-1211 Geneva 14, Switzerland. yvan.charbonnier@genomic.ch
Brian Gettler
Patrice François
Manuela Bento
Adriana Renzoni
Pierre Vaudaux
Werner Schlegel
Jacques Schrenzel
University Hospital of Geneva · CHUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA microarray technology is widely used to determine the expression levels of thousands of genes in a single experiment, for a broad range of organisms. Optimal design of immobilized nucleic acids has a direct impact on the reliability of microarray results. However, despite small genome size and complexity, prokaryotic organisms are not frequently studied to validate selected bioinformatics approaches. Relying on parameters shown to affect the hybridization of nucleic acids, we designed freely available software and validated experimentally its performance on the bacterial pathogen Staphylococcus aureus.

resultsWe describe an efficient procedure for selecting 40-60 mer oligonucleotide probes combining optimal thermodynamic properties with high target specificity, suitable for genomic studies of microbial species. The algorithm for filtering probes from extensive oligonucleotides libraries fitting standard thermodynamic criteria includes positional information of predicted target-probe binding regions. This algorithm efficiently selected probes recognizing homologous gene targets across three different sequenced genomes of Staphylococcus aureus. BLAST analysis of the final selection of 5,427 probes yielded >97%, 93%, and 81% of Staphylococcus aureus genome coverage in strains N315, Mu50, and COL, respectively. A manufactured oligoarray including a subset of control Escherichia coli probes was validated for applications in the fields of comparative genomics and molecular epidemiology, mapping of deletion mutations and transcription profiling.

conclusionThis generic chip-design process merging sequence information from several related genomes improves genome coverage even in conserved regions.

Indexed as

Gene DeletionGene ExpressionGenomeAlgorithmsCluster AnalysisComputational BiologyDNA ProbesGene Expression ProfilingGenome, BacterialGenomicsModels, GeneticNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisOligonucleotide ProbesOligonucleotidesPolymerase Chain ReactionDNA ProbesOligonucleotide ProbesOligonucleotides

Identifiers

PMID15963225
PMCPMC1183204
OpenAlexW1920924307

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.