Back to Search
Start Over
Protein profiling and immunoinformatic analysis of the secretome of a metal-resistant environmental isolate Pseudomonas aeruginosa S-8.
- Source :
-
Folia microbiologica [Folia Microbiol (Praha)] 2024 Oct; Vol. 69 (5), pp. 1095-1122. Date of Electronic Publication: 2024 Mar 08. - Publication Year :
- 2024
-
Abstract
- The bacterial secretome represents a comprehensive catalog of proteins released extracellularly that have multiple important roles in virulence and intercellular communication. This study aimed to characterize the secretome of an environmental isolate Pseudomonas aeruginosa S-8 by analyzing trypsin-digested culture supernatant proteins using nano-LC-MS/MS tool. Using a combined approach of bioinformatics and mass spectrometry, 1088 proteins in the secretome were analyzed by PREDLIPO, SecretomeP 2.0, SignalP 4.1, and PSORTb tool for their subcellular localization and further categorization of secretome proteins according to signal peptides. Using the gene ontology tool, secretome proteins were categorized into different functional categories. KEGG pathway analysis identified the secreted proteins into different metabolic functional pathways. Moreover, our LC-MS/MS data revealed the secretion of various CAZymes into the extracellular milieu, which suggests its strong biotechnological applications to breakdown complex carbohydrate polymers. The identified immunodominant epitopes from the secretome of P. aeruginosa showed the characteristic of being non-allergenic, highly antigenic, nontoxic, and having a low risk of triggering autoimmune responses, which highlights their potential as successful vaccine targets. Overall, the identification of secreted proteins of P. aeruginosa could be important for both diagnostic purposes and the development of an effective candidate vaccine.<br /> (© 2024. Institute of Microbiology, Academy of Sciences of the Czech Republic, v.v.i.)
- Subjects :
- Proteomics
Chromatography, Liquid
Metals metabolism
Pseudomonas aeruginosa immunology
Pseudomonas aeruginosa metabolism
Pseudomonas aeruginosa genetics
Bacterial Proteins genetics
Bacterial Proteins metabolism
Bacterial Proteins immunology
Tandem Mass Spectrometry
Computational Biology
Secretome metabolism
Secretome immunology
Subjects
Details
- Language :
- English
- ISSN :
- 1874-9356
- Volume :
- 69
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Folia microbiologica
- Publication Type :
- Academic Journal
- Accession number :
- 38457114
- Full Text :
- https://doi.org/10.1007/s12223-024-01152-5