Evidence map›Paper›PMID 31752996›Full record

ArticleBMC research notes2019

Searching for simple rules in Pseudomonas aeruginosa biofilm formation.

William Deveaux, Kumar Selvarajoo

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Vaccines · 2022
    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

2 authors at 2 institutions in 3 countries.

William DeveauxÉcole nationale d'ingénieurs de Brest, Brest, France.
Kumar SelvarajooBiotransformation Innovation Platform (BioTrans), Agency for Science, Technology and Research A*STAR, Biopolis, Singapore. Kumar_selvarajoo@biotrans.a-star.edu.sg.ORCID http://orcid.org/0000-0002-0314-9666
Agency for Science, Technology and Research · SGÉcole nationale d'ingénieurs de Brest · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLiving cells display complex and non-linear behaviors, especially when posed to environmental threats. Here, to understand the self-organizing cooperative behavior of a microorganism Pseudomonas aeruginosa, we developed a discrete spatiotemporal cellular automata model based on simple physical rules, similar to Conway's game of life.

resultsThe time evolution model simulations were experimentally verified for P. aeruginosa biofilm for both control and antibiotic azithromycin (AZM) treated condition. Our model suggests that AZM regulates the single cell motility, thereby resulting in delayed, but not abolished, biofilm formation. In addition, the model highlights the importance of reproduction by cell to cell interaction is key for biofilm formation. Overall, this work highlights another example where biological evolutionary complexity may be interpreted using rules taken from theoretical disciplines.

Indexed as

Computer SimulationAnti-Bacterial AgentsAzithromycinBiofilmsBiological EvolutionCell MovementPseudomonas aeruginosaSpatio-Temporal AnalysisAnti-Bacterial AgentsAzithromycinAzithromycinCellular automataComputational modelPseudomonas aeruginosaSelf-organization

Identifiers

PMID31752996
PMCPMC6873713
OpenAlexW2990214883

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.