Author | Medeiros Filho, Fernando | |
Author | Nascimento, Ana Paula Barbosa do | |
Author | Santos, Marcelo Trindade dos | |
Author | Carvalho-Assef, Ana Paula D' A. | |
Author | Silva, Fabricio Alves Barbosa da | |
Access date | 2019-07-20T19:12:52Z | |
Available date | 2019-07-20T19:12:52Z | |
Document date | 2019 | |
Citation | MEDEIROS 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. | pt_BR |
ISSN | 0074-0276 | pt_BR |
URI | https://www.arca.fiocruz.br/handle/icict/34303 | |
Language | por | pt_BR |
Publisher | Fundação Oswaldo Cruz | pt_BR |
Previous version | https://www.arca.fiocruz.br/handle/icict/33768 | pt_BR |
Rights | open access | pt_BR |
Title | Gene regulatory network inference and analysis of multidrug-resistant Pseudomonas aeruginosa | pt_BR |
Type | Article | pt_BR |
DOI | 10.1590/0074-02760190105 | |
Abstract | BACKGROUND 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. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Laboratório Nacional de Computação Científica. Petrópolis, RJ, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ. Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil. | pt_BR |
Subject | Pseudomonas aeruginosa | pt_BR |
Subject | Multidrug-resistant | pt_BR |
Subject | Gene regulatory network | pt_BR |
Subject | Analysis | pt_BR |
e-ISSN | 1678-8060 | |