Biofilm matrix proteome of clinical strain of P. aeruginosa
Egorova, D. A.; Solovyev, A. I.; Polyakov, N. B.; Danilova, K. V.; Scherbakova, A. A.; Kravtsov, I. N.; Dmitrieva, M. A.; Rykova, V. S.; Tutykhina, I. L.; Romanova, Y. M.; Gintsburg, A. L.
Show abstract
Extracellular matrix plays a pivotal role in biofilm biology and proposed as a potential target for therapeutics development. As matrix is responsible for some extracellular functions and influence bacterial cytotoxicity against eukaryotic cells, it must have unique protein composition. P. aeruginosa is one of the most important pathogens with emerging antibiotic resistance, but only a few studies were devoted to matrix proteomes and there are no studies describing matrix proteome for any clinical isolates. Here we report the first biofilm matrix proteome of P. aeruginosa isolated from bronchoalveolar lavage of patient in intensive care unit. We have identified the largest number of proteins in the matrix among all published studies devoted to P. aeruginosa biofilms. Comparison of matrix proteome with proteome from embedded cells let us to identify several enriched bioprocess groups. Bioprocess groups with the largest number of overrepresented in matrix proteins were oxidation-reduction processes, proteolysis, and transmembrane transport. The top three represented in matrix bioprocesses concerning the size of the GO annotated database were cell redox homeostasis, nucleoside metabolism, and fatty acid synthesis. Finally, we discuss the obtained data in a prism of antibiofilm therapeutics development.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Phage-Derived Depolymerase as an Antibiotic Adjuvant Against Multidrug-Resistant Acinetobacter Baumannii 95%
- Correlation of pathogenic factors with antimicrobial resistance of clinical Proteus mirabilis strains 94%
- Establishing Essential Oil Stewardship Through the Case of Rosemary and Thyme Oils Against Staphylococcus aureus 94%
Similar papers in this journal
- Strain variation in Bacillus cereus biofilms and their susceptibility to extracellular matrix-degrading enzymes 96%
- Proteomics of Extracellular Vesicles Produced by Granulicatella Species that cause Infective Endocarditis 94%
- Spatially resolved analysis of Pseudomonas aeruginosa biofilm proteomes measured by laser ablation sample transfer 93%
Similar papers in this journal
- Comparison of transcriptional responses and metabolic alterations in three multidrug resistant model microorganisms, Staphylococcus aureus ATCC BAA-39, Escherichia coli ATCC BAA-196 and Acinetobacter baumannii ATCC BAA-1790, on exposure to iodine-containing nano-micelle drug FS-1 95%
- Antimicrobial and antibiofilm activity of human recombinant H1 histones against bacterial infections 94%
- Secondary metabolite profiling of Pseudomonas aeruginosa isolates reveals rare genomic traits 93%
Similar papers in this journal
- Characterization of Staphylococcus lugdunensis biofilm reveals key differences according to clonal lineage and iron availability 96%
- Milieu matters: An in vitro wound milieu to recapitulate key features of, and probe new insights into, polymicrobial biofilms 96%
- Plasma Activated Water as a Pre-Treatment Strategy in the Context of Biofilm-Infected Chronic Wounds 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.