Evidence map›Paper›PMID 31594808›Full record

ArticlemBio2019

Bacterial Swarming Reduces Proteus mirabilis and Vibrio parahaemolyticus Cell Stiffness and Increases β-Lactam Susceptibility.

George K Auer, Piercen M Oliver, Manohary Rajendram, Ti-Yu Lin, Qing Yao, Grant J Jensen, Douglas B Weibel

Open access · goldAbstract read
In one paragraph

Article in mBio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Characterization ofMicrobiology spectrum · 2026
    Article
  4. Observational
  5. Adjustment in the Composition and Organization ofInternational journal of molecular sciences · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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 1 country.

George K AuerDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Piercen M OliverDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Manohary RajendramDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Ti-Yu LinDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Qing YaoDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA.
Grant J JensenDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA.ORCID 0000-0003-1556-4864
Douglas B WeibelDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA douglas.weibel@wisc.edu.ORCID 0000-0001-7797-2017
University of Wisconsin–Madison · USCalifornia Institute of Technology · US

Funding

Revisiting the bacterial cell wall as a target for new antibioticsDP2OD008735 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI WEIBEL, DOUGLAS BENJAMIN · 2011 to 2011
$2.3M
NIH HHS DP2 OD008735
6 · The paper itself

Abstract

Swarmer cells of the Gram-negative uropathogenic bacteria

Indexed as

LocomotionMechanical PhenomenaAnti-Bacterial Agentsbeta-LactamsChemical PhenomenaMicrobial ViabilityMicrofluidicsOsmotic PressurePeptidoglycanPolysaccharides, BacterialProteus mirabilisSingle-Cell AnalysisVibrio parahaemolyticusAnti-Bacterial Agentsbeta-LactamsPeptidoglycanPolysaccharides, Bacterialantibioticsbacterial cell mechanicsbacterial swarmingosmotic pressurepeptidoglycan

Identifiers

PMID31594808
PMCPMC6786863
OpenAlexW2976825139

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.