Evidence map›Paper›PMID 36704545›Full record

ArticleFrontiers in microbiology2022

The gene regulatory network of

Maiana de Oliveira Cerqueira E Costa, Ana Paula Barbosa do Nascimento, Yasmmin Cortes Martins, Marcelo Trindade Dos Santos, Agnes Marie de Sá Figueiredo, Ernesto Perez-Rueda, Marisa Fabiana Nicolás

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Understanding phage Receptor-binding protein interaction with host surface receptor: the key for phage-Mediated detection and elimination of Pseudomonas aeruginosa.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Review
  3. 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 4 institutions in 2 countries.

Maiana de Oliveira Cerqueira E CostaLaboratório Nacional de Computação Científica (LNCC), Petrópolis, Brazil.
Ana Paula Barbosa do NascimentoDepartamento de Análises Clínicas e Toxicológicas, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, São Paulo, Brazil.
Yasmmin Cortes MartinsLaboratório Nacional de Computação Científica (LNCC), Petrópolis, Brazil.
Marcelo Trindade Dos SantosLaboratório Nacional de Computação Científica (LNCC), Petrópolis, Brazil.
Agnes Marie de Sá FigueiredoInstituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Unidad Académica Yucatán, Merida, Mexico.
Ernesto Perez-RuedaLaboratório de Biologia Molecular de Bactérias, Instituto de Microbiologia Paulo de Goés, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Marisa Fabiana NicolásLaboratório Nacional de Computação Científica (LNCC), Petrópolis, Brazil.
Laboratório Nacional de Computação Científica · BRUniversidade de São Paulo · BRUniversidade Federal do Rio de Janeiro · BRUniversidad Nacional Autónoma de México · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: In this work, we apply literature-based and comparative genomics approaches to reconstruct the gene regulatory network of the high biofilm-producing strain Bmb9393, belonging to one of the highly disseminating successful clones, the Brazilian epidemic clone. To the best of our knowledge, we describe for the first time the topological properties and network motifs for the Results and discussion: The Bmb9393 gene regulatory network comprises 1,803 regulatory interactions between 64 transcription factors and the non-redundant set of 1,151 target genes with the inclusion of 19 new regulons compared to the N315 transcriptional regulatory network published in 2011. In the Bmb9393 network, we found 54 feed-forward loop motifs, where the most prevalent were coherent type 2 and incoherent type 2. The non-redundant set of differentially expressed genes in the biofilm consisted of 1,794 genes with functional categories relevant for adaptation to the variable microenvironments established throughout the biofilm formation process. Finally, we mapped the set of genes with altered expression in the biofilm in the Bmb9393 gene regulatory network to depict how different growth modes can alter the regulatory systems. The data revealed 45 transcription factors and 876 shared target genes. Thus, the gene regulatory network model provided represents the most up-to-date model for

Indexed as

biofilmcomputational modelgene regulatory networkmotifsStaphylococcus aureustranscriptional regulatory network

Identifiers

PMID36704545
PMCPMC9871828
OpenAlexW4315488128

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.