| Author | Medeiros Filho, Fernando | |
| Author | Nascimento, Ana Paula Barbosa do | |
| Author | Santos, Marcelo Trindade dos | |
| Author | Carvalho-Assef, Ana Paula D’Alincourt | |
| Author | Silva, Fabricio Alves Barbosa da | |
| Access date | 2019-07-02T12:28:11Z | |
| Available date | 2019-07-02T12:28:11Z | |
| 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. 1-38, June 2019. | |
| ISSN | 0074-0276 | |
| URI | https://www.arca.fiocruz.br/handle/icict/33768 | |
| Language | eng | en_US |
| Related document | https://www.arca.fiocruz.br/handle/icict/34303 | |
| Rights | open access | |
| Subject in Portuguese | Pseudomonas aeruginosa | pt_BR |
| Subject in Portuguese | Rede reguladora de genes | pt_BR |
| Subject in Portuguese | Múltiplos farmacos | pt_BR |
| Subject in Portuguese | Análise | pt_BR |
| Title | Gene regulatory network inference and analysis of multidrug-resistant Pseudomonas aeruginosa [preprint] | en_US |
| Type | Preprint | |
| DOI | 10.1101/610493 | |
| Abstract | BACKGROUND Healthcare-associated infections caused by bacteria such as Pseudomonas aeruginosa are a major public health problem worldwide. Gene regulatory networks computationally represent interactions among regulatory genes and their targets, an important approach to understand bacterial behavior and to provide novel ways of overcoming scientific challenges, including the identification of potential therapeutic targets and the development of new drugs. OBJECTIVES Our goal in this manuscript is to present a reconstruction of multidrug-resistant P. aeruginosa gene regulatory network and to analyze its topological properties. METHODS The methodology was based on gene orthology inference by the reciprocal best hit method. We used the genome of P. aeruginosa CCBH4851 as the basis of the reconstruction process. This multidrug-resistant strain is representative of an endemic outbreak in Brazilian territory belonging to ST277. FINDINGS As the main finding, we obtained a network with a larger number of regulatory genes, target genes and interactions compared to previous work. Topological analysis results are accordant to the complex network representation of biological processes. MAIN CONCLUSIONS The network properties are consistent with P. aeruginosa biological features. To the best of our knowledge, the P. aeruginosa gene regulatory network presented here is the most complete version available to date. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil. | |
| Affilliation | Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil. | |
| Affilliation | Laboratório Nacional de Computação Científica. Petrópolis, RJ, Brasil. | |
| Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ. Brasil. | |
| Affilliation | Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil. | |
| Subject | Pseudomonas aeruginosa | en_US |
| Subject | Multidrug-resistant | en_US |
| Subject | Gene regulatory network | en_US |
| Subject | Analysis | en_US |
