Literature DB >> 24532839

A temporal examination of the planktonic and biofilm proteome of whole cell Pseudomonas aeruginosa PAO1 using quantitative mass spectrometry.

Amber J Park1, Kathleen Murphy, Jonathan R Krieger, Dyanne Brewer, Paul Taylor, Marc Habash, Cezar M Khursigara.   

Abstract

Chronic polymicrobial lung infections are the chief complication in patients with cystic fibrosis. The dominant pathogen in late-stage disease is Pseudomonas aeruginosa, which forms recalcitrant, structured communities known as biofilms. Many aspects of biofilm biology are poorly understood; consequently, effective treatment of these infections is limited, and cystic fibrosis remains fatal. Here we combined in-solution protein digestion of triplicate growth-matched samples with a high-performance mass spectrometry platform to provide the most comprehensive proteomic dataset known to date for whole cell P. aeruginosa PAO1 grown in biofilm cultures. Our analysis included protein-protein interaction networks and PseudoCAP functional information for unique and significantly modulated proteins at three different time points. Secondary analysis of a subgroup of proteins using extracted ion currents validated the spectral counting data of 1884 high-confidence proteins. In this paper we demonstrate a greater representation of proteins related to metabolism, DNA stability, and molecular activity in planktonically grown P. aeruginosa PAO1. In addition, several virulence-related proteins were increased during planktonic growth, including multiple proteins encoded by the pyoverdine locus, uncharacterized proteins with sequence similarity to mammalian cell entry protein, and a member of the hemagglutinin family of adhesins, HecA. Conversely, biofilm samples contained an uncharacterized protein with sequence similarity to an adhesion protein with self-association characteristics (AidA). Increased levels of several phenazine biosynthetic proteins, an uncharacterized protein with sequence similarity to a metallo-beta-lactamase, and lower levels of the drug target gyrA support the putative characteristics of in situ P. aeruginosa infections, including competitive fitness and antibiotic resistance. This quantitative whole cell approach advances the existing P. aeruginosa subproteomes and provides a framework for identifying and studying entire pathways critical to biofilm biology in this model pathogenic organism. The identification of novel protein targets could contribute to the development of much needed antimicrobial therapies to treat the chronic infections found in patients with cystic fibrosis.

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Year:  2014        PMID: 24532839      PMCID: PMC3977187          DOI: 10.1074/mcp.M113.033985

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  55 in total

1.  Proteomic analysis of outer membrane vesicles derived from Pseudomonas aeruginosa.

Authors:  Dong-Sic Choi; Dae-Kyum Kim; Seng Jin Choi; Jaewook Lee; Jun-Pyo Choi; Sangchul Rho; Sang-Hyun Park; Yoon-Keun Kim; Daehee Hwang; Yong Song Gho
Journal:  Proteomics       Date:  2011-08       Impact factor: 3.984

Review 2.  Recent developments for Pseudomonas vaccines.

Authors:  Anurag Sharma; Anja Krause; Stefan Worgall
Journal:  Hum Vaccin       Date:  2011-10-01

3.  The microorganisms in chronically infected end-stage and non-end-stage cystic fibrosis patients.

Authors:  Vibeke B Rudkjøbing; Trine R Thomsen; Morten Alhede; Kasper N Kragh; Per H Nielsen; Ulla R Johansen; Michael Givskov; Niels Høiby; Thomas Bjarnsholt
Journal:  FEMS Immunol Med Microbiol       Date:  2012-01-23

Review 4.  Mammalian cell entry gene family of Mycobacterium tuberculosis.

Authors:  Fan Zhang; Jian-Ping Xie
Journal:  Mol Cell Biochem       Date:  2011-01-22       Impact factor: 3.396

Review 5.  Phenotypes selected during chronic lung infection in cystic fibrosis patients: implications for the treatment of Pseudomonas aeruginosa biofilm infections.

Authors:  Oana Ciofu; Lotte F Mandsberg; Hengzhuang Wang; Niels Høiby
Journal:  FEMS Immunol Med Microbiol       Date:  2012-06-01

6.  Redundant phenazine operons in Pseudomonas aeruginosa exhibit environment-dependent expression and differential roles in pathogenicity.

Authors:  David A Recinos; Matthew D Sekedat; Adriana Hernandez; Taylor Sitarik Cohen; Hassan Sakhtah; Alice S Prince; Alexa Price-Whelan; Lars E P Dietrich
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-05       Impact factor: 11.205

7.  Genomics of adaptation during experimental evolution of the opportunistic pathogen Pseudomonas aeruginosa.

Authors:  Alex Wong; Nicolas Rodrigue; Rees Kassen
Journal:  PLoS Genet       Date:  2012-09-13       Impact factor: 5.917

8.  Pseudomonas Genome Database: improved comparative analysis and population genomics capability for Pseudomonas genomes.

Authors:  Geoffrey L Winsor; David K W Lam; Leanne Fleming; Raymond Lo; Matthew D Whiteside; Nancy Y Yu; Robert E W Hancock; Fiona S L Brinkman
Journal:  Nucleic Acids Res       Date:  2010-10-06       Impact factor: 16.971

9.  Pyocyanin promotes extracellular DNA release in Pseudomonas aeruginosa.

Authors:  Theerthankar Das; Mike Manefield
Journal:  PLoS One       Date:  2012-10-08       Impact factor: 3.240

10.  Flexible survival strategies of Pseudomonas aeruginosa in biofilms result in increased fitness compared with Candida albicans.

Authors:  Frauke Gina Purschke; Ekkehard Hiller; Iris Trick; Steffen Rupp
Journal:  Mol Cell Proteomics       Date:  2012-08-31       Impact factor: 7.381

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  22 in total

1.  Label-Free Quantitative Proteomics Distinguishes General and Site-Specific Host Responses to Pseudomonas aeruginosa Infection at the Ocular Surface.

Authors:  Jason Yeung; Mihaela Gadjeva; Jennifer Geddes-McAlister
Journal:  Proteomics       Date:  2020-01-07       Impact factor: 3.984

Review 2.  Proteomics dedicated to biofilmology: What have we learned from a decade of research?

Authors:  Arbia Khemiri; Thierry Jouenne; Pascal Cosette
Journal:  Med Microbiol Immunol       Date:  2015-06-12       Impact factor: 3.402

Review 3.  Environmental proteomic studies: closer step to understand bacterial biofilms.

Authors:  Anupama Rani; Subramanian Babu
Journal:  World J Microbiol Biotechnol       Date:  2018-07-18       Impact factor: 3.312

4.  Transcriptomic Analyses Elucidate Adaptive Differences of Closely Related Strains of Pseudomonas aeruginosa in Fuel.

Authors:  Thusitha S Gunasekera; Loryn L Bowen; Carol E Zhou; Susan C Howard-Byerly; William S Foley; Richard C Striebich; Larry C Dugan; Oscar N Ruiz
Journal:  Appl Environ Microbiol       Date:  2017-05-01       Impact factor: 4.792

5.  Peptidoglycomics reveals compositional changes in peptidoglycan between biofilm- and planktonic-derived Pseudomonas aeruginosa.

Authors:  Erin M Anderson; David Sychantha; Dyanne Brewer; Anthony J Clarke; Jennifer Geddes-McAlister; Cezar M Khursigara
Journal:  J Biol Chem       Date:  2019-11-26       Impact factor: 5.157

Review 6.  Bacteria-Host Crosstalk: Sensing of the Quorum in the Context of Pseudomonas aeruginosa Infections.

Authors:  Maria V Turkina; Elena Vikström
Journal:  J Innate Immun       Date:  2018-11-14       Impact factor: 7.349

7.  Global Dynamic Proteome Study of a Pellicle-forming Acinetobacter baumannii Strain.

Authors:  Takfarinas Kentache; Ahmed Ben Abdelkrim; Thierry Jouenne; Emmanuelle Dé; Julie Hardouin
Journal:  Mol Cell Proteomics       Date:  2016-10-31       Impact factor: 5.911

Review 8.  Effects of biotic and abiotic factors on biofilm growth dynamics and their heterogeneous response to antibiotic challenge.

Authors:  Lakshmi Machineni
Journal:  J Biosci       Date:  2020       Impact factor: 1.826

9.  Multi-metal Restriction by Calprotectin Impacts De Novo Flavin Biosynthesis in Acinetobacter baumannii.

Authors:  Jiefei Wang; Zachery R Lonergan; Giovanni Gonzalez-Gutierrez; Brittany L Nairn; Christina N Maxwell; Yixiang Zhang; Claudia Andreini; Jonathan A Karty; Walter J Chazin; Jonathan C Trinidad; Eric P Skaar; David P Giedroc
Journal:  Cell Chem Biol       Date:  2019-03-21       Impact factor: 8.116

Review 10.  Bordetella biofilms: a lifestyle leading to persistent infections.

Authors:  Natalia Cattelan; Purnima Dubey; Laura Arnal; Osvaldo M Yantorno; Rajendar Deora
Journal:  Pathog Dis       Date:  2015-11-19       Impact factor: 3.166

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