Literature DB >> 33757883

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

J A Reales-Calderón1, Z Sun2, V Mascaraque1, E Pérez-Navarro3, V Vialás1, E W Deutsch2, R L Moritz2, C Gil4, J L Martínez5, G Molero6.   

Abstract

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, system-wide 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.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

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

Mesh:

Substances:

Year:  2021        PMID: 33757883      PMCID: PMC8668395          DOI: 10.1016/j.jprot.2021.104192

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  99 in total

1.  The biofilm-specific antibiotic resistance gene ndvB is important for expression of ethanol oxidation genes in Pseudomonas aeruginosa biofilms.

Authors:  Trevor Beaudoin; Li Zhang; Aaron J Hinz; Christopher J Parr; Thien-Fah Mah
Journal:  J Bacteriol       Date:  2012-04-13       Impact factor: 3.490

Review 2.  Quorum sensing and environmental adaptation in Pseudomonas aeruginosa: a tale of regulatory networks and multifunctional signal molecules.

Authors:  Paul Williams; Miguel Cámara
Journal:  Curr Opin Microbiol       Date:  2009-02-25       Impact factor: 7.934

3.  Analysis of the Pseudomonas aeruginosa Aminoglycoside Differential Resistomes Allows Defining Genes Simultaneously Involved in Intrinsic Antibiotic Resistance and Virulence.

Authors:  Fernando Sanz-García; Carolina Alvarez-Ortega; Jorge Olivares-Pacheco; Paula Blanco; José Luis Martínez; Sara Hernando-Amado
Journal:  Antimicrob Agents Chemother       Date:  2019-04-25       Impact factor: 5.191

4.  The Pel and Psl polysaccharides provide Pseudomonas aeruginosa structural redundancy within the biofilm matrix.

Authors:  Kelly M Colvin; Yasuhiko Irie; Catherine S Tart; Rodolfo Urbano; John C Whitney; Cynthia Ryder; P Lynne Howell; Daniel J Wozniak; Matthew R Parsek
Journal:  Environ Microbiol       Date:  2011-12-19       Impact factor: 5.491

5.  The heterologous siderophores ferrioxamine B and ferrichrome activate signaling pathways in Pseudomonas aeruginosa.

Authors:  María A Llamas; Marion Sparrius; Roy Kloet; Connie R Jiménez; Christina Vandenbroucke-Grauls; Wilbert Bitter
Journal:  J Bacteriol       Date:  2006-03       Impact factor: 3.490

6.  Genetically and Phenotypically Distinct Pseudomonas aeruginosa Cystic Fibrosis Isolates Share a Core Proteomic Signature.

Authors:  Anahit Penesyan; Sheemal S Kumar; Karthik Kamath; Abdulrahman M Shathili; Vignesh Venkatakrishnan; Christoph Krisp; Nicolle H Packer; Mark P Molloy; Ian T Paulsen
Journal:  PLoS One       Date:  2015-10-02       Impact factor: 3.240

7.  The neglected intrinsic resistome of bacterial pathogens.

Authors:  Alicia Fajardo; Nadia Martínez-Martín; María Mercadillo; Juan C Galán; Bart Ghysels; Sandra Matthijs; Pierre Cornelis; Lutz Wiehlmann; Burkhard Tümmler; Fernando Baquero; José L Martínez
Journal:  PLoS One       Date:  2008-02-20       Impact factor: 3.240

8.  Mep72, a metzincin protease that is preferentially secreted by biofilms of Pseudomonas aeruginosa.

Authors:  Ian J Passmore; Kahoko Nishikawa; Kathryn S Lilley; Steven D Bowden; Jade C S Chung; Martin Welch
Journal:  J Bacteriol       Date:  2014-12-08       Impact factor: 3.490

9.  PAMDB: a comprehensive Pseudomonas aeruginosa metabolome database.

Authors:  Weiliang Huang; Luke K Brewer; Jace W Jones; Angela T Nguyen; Ana Marcu; David S Wishart; Amanda G Oglesby-Sherrouse; Maureen A Kane; Angela Wilks
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

10.  Tobramycin reduces key virulence determinants in the proteome of Pseudomonas aeruginosa outer membrane vesicles.

Authors:  Katja Koeppen; Roxanna Barnaby; Angelyca A Jackson; Scott A Gerber; Deborah A Hogan; Bruce A Stanton
Journal:  PLoS One       Date:  2019-01-25       Impact factor: 3.240

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