Evidence map›Paper›PMID 21531804›Full record

ArticleJournal of bacteriology2011

Inference of the transcriptional regulatory network in Staphylococcus aureus by integration of experimental and genomics-based evidence.

Dmitry A Ravcheev, Aaron A Best, Nathan Tintle, Matthew Dejongh, Andrei L Osterman, Pavel S Novichkov, Dmitry A Rodionov

Open access · greenAbstract read
In one paragraph

Article in Journal of bacteriology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
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  9. Revealing 29 sets of independently modulated genes inProceedings of the National Academy of Sciences of the United States of America · 2020
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  10. Article
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  12. Review
  13. Heme Synthesis and Acquisition in Bacterial Pathogens.Journal of molecular biology · 2016
    Review
  14. Article
  15. Article
  16. 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

7 authors at 2 institutions in 2 countries.

Dmitry A RavcheevSanford-Burnham Medical Research Institute, La Jolla, CA 92037, USA.
Aaron A Best
Nathan Tintle
Matthew Dejongh
Andrei L Osterman
Pavel S Novichkov
Dmitry A Rodionov
Lawrence Berkeley National Laboratory · USSanford Burnham Prebys Medical Discovery Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptional regulatory networks are fine-tuned systems that help microorganisms respond to changes in the environment and cell physiological state. We applied the comparative genomics approach implemented in the RegPredict Web server combined with SEED subsystem analysis and available information on known regulatory interactions for regulatory network reconstruction for the human pathogen Staphylococcus aureus and six related species from the family Staphylococcaceae. The resulting reference set of 46 transcription factor regulons contains more than 1,900 binding sites and 2,800 target genes involved in the central metabolism of carbohydrates, amino acids, and fatty acids; respiration; the stress response; metal homeostasis; drug and metal resistance; and virulence. The inferred regulatory network in S. aureus includes ∼320 regulatory interactions between 46 transcription factors and ∼550 candidate target genes comprising 20% of its genome. We predicted ∼170 novel interactions and 24 novel regulons for the control of the central metabolic pathways in S. aureus. The reconstructed regulons are largely variable in the Staphylococcaceae: only 20% of S. aureus regulatory interactions are conserved across all studied genomes. We used a large-scale gene expression data set for S. aureus to assess relationships between the inferred regulons and gene expression patterns. The predicted reference set of regulons is captured within the Staphylococcus collection in the RegPrecise database (http://regprecise.lbl.gov).

Indexed as

Gene Expression Regulation, BacterialTranscription, GeneticComputational BiologyGenomicsHumansProtein Interaction MappingRegulonStaphylococcaceae

Identifiers

PMID21531804
PMCPMC3133287
OpenAlexW2164865109

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.