Evidence map›Paper›PMID 30272193›Full record

ArticleNucleic acids research2019

BACTOME-a reference database to explore the sequence- and gene expression-variation landscape of Pseudomonas aeruginosa clinical isolates.

Klaus Hornischer, Ariane Khaledi, Sarah Pohl, Monika Schniederjans, Lorena Pezoldt, Fiordiligie Casilag, Uthayakumar Muthukumarasamy, Sebastian Bruchmann, Janne Thöming, Adrian Kordes and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Pseudopaline-mediated zinc uptake byInfection and immunity · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. tRNA epitranscriptome determines pathogenicity of the opportunistic pathogenProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. What Makes Pseudomonas aeruginosa a Pathogen?Advances in experimental medicine and biology · 2022
    Article
  15. Effects of the Sex Steroid Hormone Estradiol on Biofilm Growth of Cystic FibrosisFrontiers in cellular and infection microbiology · 2022
    Article
  16. Frontiers in cellular and infection microbiology · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. 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.

Klaus HornischerInstitute of Molecular Bacteriology, Helmholtz Centre for Infection Research, D-38124 Braunschweig, Germany.
Ariane KhalediInstitute of Molecular Bacteriology, Helmholtz Centre for Infection Research, D-38124 Braunschweig, Germany.
Sarah PohlInstitute of Molecular Bacteriology, Helmholtz Centre for Infection Research, D-38124 Braunschweig, Germany.
Monika SchniederjansInstitute of Molecular Bacteriology, Helmholtz Centre for Infection Research, D-38124 Braunschweig, Germany.
Lorena PezoldtInstitute of Molecular Bacteriology, Helmholtz Centre for Infection Research, D-38124 Braunschweig, Germany.
Fiordiligie CasilagInstitute of Molecular Bacteriology, Helmholtz Centre for Infection Research, D-38124 Braunschweig, Germany.
Uthayakumar MuthukumarasamyInstitute of Molecular Bacteriology, Helmholtz Centre for Infection Research, D-38124 Braunschweig, Germany.
Sebastian BruchmannInstitute of Molecular Bacteriology, Helmholtz Centre for Infection Research, D-38124 Braunschweig, Germany.
Janne ThömingInstitute of Molecular Bacteriology, Helmholtz Centre for Infection Research, D-38124 Braunschweig, Germany.
Adrian KordesInstitute of Molecular Bacteriology, Helmholtz Centre for Infection Research, D-38124 Braunschweig, Germany.
Susanne HäusslerInstitute of Molecular Bacteriology, Helmholtz Centre for Infection Research, D-38124 Braunschweig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive use of next-generation sequencing (NGS) for pathogen profiling has the potential to transform our understanding of how genomic plasticity contributes to phenotypic versatility. However, the storage of large amounts of NGS data and visualization tools need to evolve to offer the scientific community fast and convenient access to these data. We introduce BACTOME as a database system that links aligned DNA- and RNA-sequencing reads of clinical Pseudomonas aeruginosa isolates with clinically relevant pathogen phenotypes. The database allows data extraction for any single isolate, gene or phenotype as well as data filtering and phenotypic grouping for specific research questions. With the integration of statistical tools we illustrate the usefulness of a relational database structure for the identification of phenotype-genotype correlations as an essential part of the discovery pipeline in genomic research. Furthermore, the database provides a compilation of DNA sequences and gene expression values of a plethora of clinical isolates to give a consensus DNA sequence and consensus gene expression signature. Deviations from the consensus thereby describe the genomic landscape and the transcriptional plasticity of the species P. aeruginosa. The database is available at https://bactome.helmholtz-hzi.de.

Indexed as

Databases, GeneticGenetic VariationTranscriptomeGene Expression ProfilingGenomicsGenotypeHumansPhenotypePseudomonas aeruginosaPseudomonas InfectionsReference StandardsSoftware

Identifiers

PMID30272193
PMCPMC6324029

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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.