| Journal: | Memorias do Instituto Oswaldo Cruz |
| Database: | PERIÓDICA |
| System number: | 000452384 |
| ISSN: | 0074-0276 |
| Authors: | Chagas, Márcia da Silva1 Medeiros Filho, Fernando2 dos Santos, Marcelo Trindade3 de Menezes, Marcio Argollo4 Carvalho Assef, Ana Paula D’Alincourt5 Silva, Fabricio Alves Barbosa da1 |
| Institutions: | 1Fundacao Oswaldo Cruz, Programa de Computacao Cientifica, Rio de Janeiro. Brasil 2Fundacao Oswaldo Cruz, Instituto Nacional de Infectologia, Rio de Janeiro. Brasil 3Laboratorio Nacional de Computacao Cientifica, Petropolis, Rio de Janeiro. Brasil 4Universidade Federal Fluminense, Instituto de Fisica, Niteroi, Rio de Janeiro. Brasil 5Fundacao Oswaldo Cruz, Instituto Oswaldo Cruz, Rio de Janeiro. Brasil |
| Year: | 2022 |
| Volumen: | 117 |
| Country: | Brasil |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Analítico, descriptivo |
| English 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 |
| Disciplines: | Medicina |
| Keyword: | Bacterias, Genética, Farmacología, Red de genes reguladores, Resistencia a fármacos, Biología de sistemas, Pseudomonas aeruginosa |
| Keyword: | Bacteria, Genetics, Pharmacology, Pseudomonas aeruginosa, Gene regulatory network, Multidrug resistance, Systems biology |
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