Gene regulatory network inference and analysis of multidrug-resistant Pseudomonas aeruginosa

dc.creatorMedeiros Filho, Fernando
dc.creatorNascimento, Ana Paula Barbosa do
dc.creatorSantos, Marcelo Trindade dos
dc.creatorCarvalho-Assef, Ana Paula D' A.
dc.creatorSilva, Fabricio Alves Barbosa da
dc.date2019-07-20T19:12:52Z
dc.date2019-07-20T19:12:52Z
dc.date2019
dc.date.accessioned2023-09-26T20:28:39Z
dc.date.available2023-09-26T20:28:39Z
dc.identifierMEDEIROS FILHO, Fernando et al. Gene regulatory network inference and analysis of multidrug-resistant Pseudomonas aeruginosa. Memórias do Instituto Oswaldo Cruz, Rio de Janeiro, v. 114, p. 1-11, June 2019.
dc.identifier0074-0276
dc.identifierhttps://www.arca.fiocruz.br/handle/icict/34303
dc.identifier10.1590/0074-02760190105
dc.identifier1678-8060
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8857766
dc.descriptionBACKGROUND Healthcare-associated infections caused by bacteria such as Pseudomonas aeruginosa are a major public health problem worldwide. Gene regulatory networks (GRN) computationally represent interactions among regulatory genes and their targets. They are an important approach to help understand bacterial behaviour and to provide novel ways of overcoming scientific challenges, including the identification of potential therapeutic targets and the development of new drugs. OBJECTIVES The goal of this study was to reconstruct the multidrug-resistant (MDR) P. aeruginosa GRN and to analyse its topological properties. METHODS The methodology used in this study was based on gene orthology inference using the reciprocal best hit method. We used the genome of P. aeruginosa CCBH4851 as the basis of the reconstruction process. This MDR strain is representative of the sequence type 277, which was involved in an endemic outbreak in Brazil. FINDINGS We obtained a network with a larger number of regulatory genes, target genes and interactions as compared to the previously reported network. Topological analysis results are in accordance with the complex network representation of biological processes. MAIN CONCLUSIONS The properties of the network were consistent with the biological features of P. aeruginosa. To the best of our knowledge, the P. aeruginosa GRN presented here is the most complete version available to date.
dc.formatapplication/pdf
dc.languagepor
dc.publisherFundação Oswaldo Cruz
dc.relationhttps://www.arca.fiocruz.br/handle/icict/33768
dc.rightsopen access
dc.subjectPseudomonas aeruginosa
dc.subjectMultidrug-resistant
dc.subjectGene regulatory network
dc.subjectAnalysis
dc.titleGene regulatory network inference and analysis of multidrug-resistant Pseudomonas aeruginosa
dc.typeArticle


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