Evidence map›Paper›PMID 19117520›Full record

ArticleBMC genomics2008

OxyGene: an innovative platform for investigating oxidative-response genes in whole prokaryotic genomes.

David Thybert, Stéphane Avner, Céline Lucchetti-Miganeh, Angélique Chéron, Frédérique Barloy-Hubler

Abstract read
In one paragraph

Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Bacterial stressors in minimally processed food.International journal of molecular sciences · 2009
    Review
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

5 authors.

David ThybertCNRS UMR 6026, Interactions Cellulaires et Moléculaires, Equipe B@SIC, Université de Rennes 1, IFR140 GFAS, Campus de Beaulieu, Av. du Général Leclerc, 35042 Rennes, France. david.thybert@univ-rennes1.fr
Stéphane Avner
Céline Lucchetti-Miganeh
Angélique Chéron
Frédérique Barloy-Hubler

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOxidative stress is a common stress encountered by living organisms and is due to an imbalance between intracellular reactive oxygen and nitrogen species (ROS, RNS) and cellular antioxidant defence. To defend themselves against ROS/RNS, bacteria possess a subsystem of detoxification enzymes, which are classified with regard to their substrates. To identify such enzymes in prokaryotic genomes, different approaches based on similarity, enzyme profiles or patterns exist. Unfortunately, several problems persist in the annotation, classification and naming of these enzymes due mainly to some erroneous entries in databases, mistake propagation, absence of updating and disparity in function description. DESCRIPTION: In order to improve the current annotation of oxidative stress subsystems, an innovative platform named OxyGene has been developed. It integrates an original database called OxyDB, holding thoroughly tested anchor-based signatures associated to subfamilies of oxidative stress enzymes, and a new anchor-driven annotator, for ab initio detection of ROS/RNS response genes. All complete Bacterial and Archaeal genomes have been re-annotated, and the results stored in the OxyGene repository can be interrogated via a Graphical User Interface.

conclusionOxyGene enables the exploration and comparative analysis of enzymes belonging to 37 detoxification subclasses in 664 microbial genomes. It proposes a new classification that improves both the ontology and the annotation of the detoxification subsystems in prokaryotic whole genomes, while discovering new ORFs and attributing precise function to hypothetical annotated proteins. OxyGene is freely available at: http://www.umr6026.univ-rennes1.fr/english/home/research/basic/software.

Indexed as

Genome, ArchaealGenome, BacterialOxidative StressSoftwareDatabases, GeneticOxidation-ReductionReactive Nitrogen SpeciesReactive Oxygen SpeciesUser-Computer InterfaceReactive Nitrogen SpeciesReactive Oxygen Species

Identifiers

PMID19117520
PMCPMC2631583

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Registered trials

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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.