Evidence map›Paper›PMID 36259790›Full record

ArticleMemorias do Instituto Oswaldo Cruz2022

An updated gene regulatory network reconstruction of multidrug-resistant Pseudomonas aeruginosa CCBH4851.

Márcia da Silva Chagas, Fernando Medeiros Filho, Marcelo Trindade Dos Santos, Marcio Argollo de Menezes, Ana Paula D'Alincourt Carvalho-Assef, Fabricio Alves Barbosa da Silva

Open access · diamondAbstract read
In one paragraph

Article in Memorias do Instituto Oswaldo Cruz, 2022. 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
0.2field-weighted citation impact, top 38% 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, 1 citations in OpenAlex.

  1. Article
  2. Boolean model of the gene regulatory network ofFrontiers in microbiology · 2023
    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

6 authors at 3 institutions in 1 country.

Márcia da Silva ChagasFundação Oswaldo Cruz-Fiocruz, Programa de Computação Científica, Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0001-6386-9756
Fernando Medeiros FilhoFundação Oswaldo Cruz-Fiocruz, Instituto Nacional de Infectologia, Laboratório de Pesquisa Clínica em Doenças Febris Agudas, Rio de Janeiro, RJ, Brasil.
Marcelo Trindade Dos SantosLaboratório Nacional de Computação Científica, Petrópolis, RJ, Brasil.
Marcio Argollo de MenezesUniversidade Federal Fluminense, Instituto de Física, Niterói, RJ, Brasil.
Ana Paula D'Alincourt Carvalho-AssefFundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório de Pesquisa em Infecção Hospitalar, Rio de Janeiro, RJ, Brasil.
Fabricio Alves Barbosa da SilvaFundação Oswaldo Cruz-Fiocruz, Programa de Computação Científica, Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-8172-5796
Fundação Oswaldo Cruz · BRLaboratório Nacional de Computação Científica · BRUniversidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare-associated infections due to multidrug-resistant (MDR) bacteria such as Pseudomonas aeruginosa are significant public health issues worldwide. A system biology approach can help understand bacterial behaviour and provide novel ways to identify potential therapeutic targets and develop new drugs. Gene regulatory networks (GRN) are examples of in silico representation of interaction between regulatory genes and their targets.

objectivesIn this work, we update the MDR P. aeruginosa CCBH4851 GRN reconstruction and analyse and discuss its structural properties.

methodsWe based this study on the gene orthology inference methodology using the reciprocal best hit method. The P. aeruginosa CCBH4851 genome and GRN, published in 2019, and the P. aeruginosa PAO1 GRN, published in 2020, were used for this update reconstruction process.

findingsOur result is a GRN with a greater number of regulatory genes, target genes, and interactions compared to the previous networks, and its structural properties are consistent with the complexity of biological networks and the biological features of P. aeruginosa. MAIN

conclusionsHere, we present the largest and most complete version of P. aeruginosa GRN published to this date, to the best of our knowledge.

Indexed as

Cross InfectionPseudomonas InfectionsAnti-Bacterial AgentsDrug Resistance, Multiple, BacterialGene Regulatory NetworksHumansPseudomonas aeruginosaAnti-Bacterial Agents

Identifiers

PMID36259790
PMCPMC9565603
OpenAlexW4306833795

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LicenceCC BY
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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.