An updated gene regulatory network reconstruction of multidrug-resistant Pseudomonas aeruginosa CCBH4851
Mem. Inst. Oswaldo Cruz
; 117: e220111, 2022. tab, graf
Article
in English
|
LILACS-Express
| LILACS
| ID: biblio-1405995
Responsible library:
BR1.1
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.
Full text:
Available
Collection:
International databases
Database:
LILACS
Type of study:
Prognostic study
Language:
English
Journal:
Mem. Inst. Oswaldo Cruz
Journal subject:
Tropical Medicine
/
Parasitology
Year:
2022
Document type:
Article
Affiliation country:
Brazil
Institution/Affiliation country:
Fundação Oswaldo Cruz-Fiocruz/BR
/
Laboratório Nacional de Computação Científica/BR
/
Universidade Federal Fluminense/BR