| Author | Chagas, Márcia da Silva | |
| Author | Medeiros Filho, Fernando | |
| Author | Santos, Marcelo Trindade dos | |
| Author | Menezes, Marcio Argollo de | |
| Author | Carvalho-Assef, Ana Paula D’Alincourt | |
| Author | Silva, Fabricio Alves Barbosa da | |
| Access date | 2023-02-13T15:08:28Z | |
| Available date | 2023-02-13T15:08:28Z | |
| Document date | 2022 | |
| Citation | CHAGAS, Márcia da Silva et al. An updated gene regulatory network reconstruction of multidrug-resistant Pseudomonas aeruginosa CCBH4851. Memórias do Instituto Oswaldo Cruz, Rio de Janeiro, v. 117: e220111, p. 1 - 15, 2022. | en_US |
| ISSN | 0074-0206 | en_US |
| URI | https://www.arca.fiocruz.br/handle/icict/57034 | |
| Language | eng | en_US |
| Publisher | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. | en_US |
| Rights | open access | |
| Subject in Portuguese | Pseudomonas aeruginosa | en_US |
| Subject in Portuguese | Rede reguladora de genes | en_US |
| Subject in Portuguese | Resistência a múltiplas drogas | en_US |
| Subject in Portuguese | Biologia do sistema | en_US |
| Title | An updated gene regulatory network reconstruction of multidrug-resistant Pseudomonas aeruginosa CCBH4851 | en_US |
| Type | Article | |
| DOI | 10.1590/0074-02760220111 | |
| Abstract | BACKGROUND Healthcare-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.
OBJECTIVES In this work, we update the MDR P. aeruginosa CCBH4851 GRN reconstruction and analyse and discuss its
structural properties.
METHODS We 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.
FINDINGS Our 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 CONCLUSIONS Here, we present the largest and most complete version of P. aeruginosa GRN published to this date, to
the best of our knowledge. | en_US |
| Affilliation | Fundação Oswaldo Cruz-Fiocruz. Programa de Computação Científica, Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto Nacional de Infectologia, Laboratório de Pesquisa Clínica em Doenças Febris Agudas, Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | Laboratório Nacional de Computação Científica. Petrópolis, RJ, Brasil. | en_US |
| Affilliation | Universidade Federal Fluminense. Instituto de Física, Niterói, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz-Fiocruz. Programa de Computação Científica, Rio de Janeiro, RJ, Brasil. | en_US |
| Subject | Pseudomonas aeruginosa | en_US |
| Subject | Gene regulatory network | en_US |
| Subject | Multidrug resistance | en_US |
| Subject | System biology | en_US |
