Evidence map›Paper›PMID 32199334›Full record

ReviewCurrent opinion in microbiology2020

The impact of two-component sensorial network in staphylococcal speciation.

Beatriz Rapun-Araiz, Andreas F Haag, Cristina Solano, Iñigo Lasa

Abstract readReview
In one paragraph

Review in Current opinion in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Microbiology spectrum · 2023
    Article
  7. Regulation ofPharmaceutics · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Comparative genomics ofFrontiers in microbiology · 2022
    Article
  12. Review
  13. Article
  14. Article
  15. 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

4 authors.

Beatriz Rapun-AraizLaboratory of Microbial Pathogenesis, Navarrabiomed, Complejo Hospitalario de Navarra (CHN)-Universidad Pública de Navarra (UPNA), IDISNA, Pamplona, 31008, Spain.
Andreas F HaagInstitute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
Cristina SolanoLaboratory of Microbial Pathogenesis, Navarrabiomed, Complejo Hospitalario de Navarra (CHN)-Universidad Pública de Navarra (UPNA), IDISNA, Pamplona, 31008, Spain.
Iñigo LasaLaboratory of Microbial Pathogenesis, Navarrabiomed, Complejo Hospitalario de Navarra (CHN)-Universidad Pública de Navarra (UPNA), IDISNA, Pamplona, 31008, Spain. Electronic address: ilasa@unavarra.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria use two-component systems (TCSs) to sense and respond to their environments. Free-living bacteria usually contain dozens of TCSs, each of them responsible for sensing and responding to a different range of signals. Differences in the content of two-component systems are related with the capacity of the bacteria to colonize different niches or improve the efficiency to grow under the conditions of the existing niche. This review highlights differences in the TCS content between Staphylococcus aureus and Staphylococcus saprophyticus as a case study to exemplify how the ability to sense and respond to the environment is relevant for bacterial capacity to colonize and survive in/on different body surfaces.

Indexed as

AnimalsBacterial ProteinsGene Expression Regulation, BacterialGenes, BacterialHost-Pathogen InteractionsHumansSignal TransductionStaphylococcal InfectionsStaphylococcus aureusStaphylococcus saprophyticusVirulenceBacterial Proteins

Identifiers

PMID32199334
PMCPMC7322546

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.