4.5 Article

A wide-ranging Pseudomonas aeruginosa PeptideAtlas build: A useful proteomic resource for a versatile pathogen

Journal

JOURNAL OF PROTEOMICS
Volume 239, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jprot.2021.104192

Keywords

Pseudomonas; Bacterial PeptideAtlas; Pathogen; Database; Proteomics; Tool for targeted proteomic studies

Funding

  1. Spanish Ministry of Science and Innovation [RTI2018-094004-B-100]
  2. InGEMICS-CM from the Comunidad de Madrid [B2017/BMD3691]
  3. Spanish Network for Research in Infectious Diseases [REIPI RD16/0016/0011]
  4. PRB3 from the ISCIII [PT17/0019/0012]
  5. European Development Regional Fund (ERDF) A way to achieve Europe
  6. National Institutes of Health grants [R01GM087221, R24GM127667]
  7. National Science Foundation [DBI-1933311, 1920268]
  8. Direct For Biological Sciences
  9. Div Of Biological Infrastructure [1920268] Funding Source: National Science Foundation

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Pseudomonas aeruginosa is a significant opportunistic human pathogen, and the study of its proteome is crucial for uncovering virulence factors and antibiotic resistance mechanisms. The construction of proteomic resources like PeptideAtlas enables targeted proteomics studies, system-wide observations, and cross-species observational studies.
Pseudomonas aeruginosa is an important opportunistic human pathogen with high prevalence in nosocomial infections. This microorganism is a good model for understanding biological processes such as the quorum-sensing response, the metabolic integration of virulence, the mechanisms of global regulation of bacterial physiology, and the evolution of antibiotic resistance. Till now, P. aeruginosa proteomic data, although available in several on-line repositories, were dispersed and difficult to access. In the present work, proteomes of the PAO1 strain grown under different conditions and from diverse cellular compartments have been joined to build the Pseudomonas PeptideAtlas. This resource is a comprehensive mass spectrometry-derived peptide and inferred protein database with 71.3% coverage of the total predicted proteome of P. aeruginosa PAO1, the highest coverage among bacterial PeptideAtlas datasets. The proteins included cover 89% of metabolic proteins, 72% of proteins involved in genetic information processing, 83% of proteins responsible for environmental information processing, more than 88% of the ones related to quorum sensing and biofilm formation, and 89% of proteins responsible for antimicrobial resistance. It exemplifies a necessary tool for targeted proteomics studies, systemwide observations, and cross-species observational studies. The manuscript describes the building of the PeptideAtlas and the contribution of the different proteomic data used. Significance: Pseudomonas aeruginosa is among the most versatile human bacterial pathogens. Studies of its proteome are very important as they can reveal virulence factors and mechanisms of antibiotic resistance. The construction of a proteomic resource such as the PeptideAtlas enables targeted proteomics studies, system-wide observations, and cross-species observational studies.

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