Evidence map›Paper›PMID 23070558›Full record

ReviewNature reviews. Microbiology2012

From genotype to phenotype: can systems biology be used to predict Staphylococcus aureus virulence?

Nicholas K Priest, Justine K Rudkin, Edward J Feil, Jean M H van den Elsen, Ambrose Cheung, Sharon J Peacock, Maisem Laabei, David A Lucks, Mario Recker, Ruth C Massey

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
  2. Phosphate sensing by PhoPR regulates the cytotoxicity ofMicrobiology (Reading, England) · 2025
    Article
  3. Microorganisms · 2025
    Article
  4. Article
  5. Review
  6. The major role ofVirulence · 2023
    Article
  7. Article
  8. Article
  9. Pathogens (Basel, Switzerland) · 2021
    Review
  10. Article
  11. Observational
  12. Article
  13. Article
  14. The general stress response ofMicrobiology (Reading, England) · 2020
    Article
  15. Article
  16. Article
  17. The Impacts ofInfection and immunity · 2020
    Article
  18. Article
  19. Coagulase-Negative Staphylococci Pathogenomics.International journal of molecular sciences · 2019
    Review
  20. ClinicalToxins · 2019
    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

10 authors.

Nicholas K PriestDepartment of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK.
Justine K Rudkin
Edward J Feil
Jean M H van den Elsen
Ambrose Cheung
Sharon J Peacock
Maisem Laabei
David A Lucks
Mario Recker
Ruth C Massey

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of high-throughput whole-genome sequencing, it is now possible to sequence a bacterial genome in a matter of hours. However, although the presence or absence of a particular gene can be determined, we do not yet have the tools to extract information about the true virulence potential of an organism from sequence data alone. Here, we focus on the important human pathogen Staphylococcus aureus and present a framework for the construction of a broad systems biology-based tool that could be used to predict virulence phenotypes from S. aureus genomic sequences using existing technology.

Indexed as

Genome, BacterialDNA, BacterialGenetic VariationGenotypeHumansMethicillin ResistancePhenotypeStaphylococcal InfectionsStaphylococcus aureusSystems BiologyVirulence FactorsDNA, BacterialVirulence Factors

Identifiers

PMID23070558
PMCPMC7097209

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.