Literature DB >> 18491319

Monitoring of changes in the membrane proteome during stationary phase adaptation of Bacillus subtilis using in vivo labeling techniques.

Annette Dreisbach1, Andreas Otto, Dörte Becher, Elke Hammer, Alexander Teumer, Joost W Gouw, Michael Hecker, Uwe Völker.   

Abstract

Bacillus subtilis has been developed as a model system for physiological proteomics. However, thus far these studies have mainly been limited to cytoplasmic, extracellular, and cell-wall attached proteins. Although being certainly important for cell physiology, the membrane protein fraction has not been studied in comparable depth due to inaccessibility by traditional 2-DE-based workflows and limitations in reliable quantification. In this study, we now compare the potential of stable isotope labeling with amino acids (SILAC) and (14)N/(15)N-labeling for the analysis of bacterial membrane fractions in physiology-driven proteomic studies. Using adaptation of B. subtilis to amino acid (lysine) and glucose starvation as proof of principle scenarios, we show that both approaches provide similarly valuable data for the quantification of bacterial membrane proteins. Even if labeling with stable amino acids allows a more straightforward analysis of data, the (14)N/(15)N-labeling has some advantages in general such as labeling of all amino acids and thereby increasing the number of peptides for quantification. Both, SILAC as well as (14)N/(15)N-labeling are compatible with 2-DE, 2-D LC-MS/MS, and GeLC-MS/MS and thus will allow comprehensive simultaneous interrogation of cytoplasmic and enriched membrane proteomes.

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Year:  2008        PMID: 18491319     DOI: 10.1002/pmic.200701081

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  16 in total

1.  Comparative proteome analysis of spontaneous outer membrane vesicles and purified outer membranes of Neisseria meningitidis.

Authors:  Martin Lappann; Andreas Otto; Dörte Becher; Ulrich Vogel
Journal:  J Bacteriol       Date:  2013-07-26       Impact factor: 3.490

2.  Quantitative proteomics by metabolic labeling of model organisms.

Authors:  Joost W Gouw; Jeroen Krijgsveld; Albert J R Heck
Journal:  Mol Cell Proteomics       Date:  2009-11-19       Impact factor: 5.911

Review 3.  Protein transport across and into cell membranes in bacteria and archaea.

Authors:  Jijun Yuan; Jessica C Zweers; Jan Maarten van Dijl; Ross E Dalbey
Journal:  Cell Mol Life Sci       Date:  2009-10-10       Impact factor: 9.261

4.  Spectral Library Based Analysis of Arginine Phosphorylations in Staphylococcus aureus.

Authors:  Sabryna Junker; Sandra Maaβ; Andreas Otto; Stephan Michalik; Friedrich Morgenroth; Ulf Gerth; Michael Hecker; Dörte Becher
Journal:  Mol Cell Proteomics       Date:  2017-11-28       Impact factor: 5.911

5.  Native SILAC: metabolic labeling of proteins in prototroph microorganisms based on lysine synthesis regulation.

Authors:  Florian Fröhlich; Romain Christiano; Tobias C Walther
Journal:  Mol Cell Proteomics       Date:  2013-04-16       Impact factor: 5.911

6.  Impact of Moderate Temperature Changes on Neisseria meningitidis Adhesion Phenotypes and Proteome.

Authors:  Martin Lappann; Andreas Otto; Madita Brauer; Dörte Becher; Ulrich Vogel; Kay Johswich
Journal:  Infect Immun       Date:  2016-11-18       Impact factor: 3.441

7.  Life and death of proteins: a case study of glucose-starved Staphylococcus aureus.

Authors:  Stephan Michalik; Jörg Bernhardt; Andreas Otto; Martin Moche; Dörte Becher; Hanna Meyer; Michael Lalk; Claudia Schurmann; Rabea Schlüter; Holger Kock; Ulf Gerth; Michael Hecker
Journal:  Mol Cell Proteomics       Date:  2012-05-03       Impact factor: 5.911

8.  A proteomic view of an important human pathogen--towards the quantification of the entire Staphylococcus aureus proteome.

Authors:  Dörte Becher; Kristina Hempel; Susanne Sievers; Daniela Zühlke; Jan Pané-Farré; Andreas Otto; Stephan Fuchs; Dirk Albrecht; Jörg Bernhardt; Susanne Engelmann; Uwe Völker; Jan Maarten van Dijl; Michael Hecker
Journal:  PLoS One       Date:  2009-12-04       Impact factor: 3.240

9.  Immunity to the bacteriocin sublancin 168 Is determined by the SunI (YolF) protein of Bacillus subtilis.

Authors:  Jean-Yves F Dubois; Thijs R H M Kouwen; Anna K C Schurich; Carlos R Reis; Hendrik T Ensing; Erik N Trip; Jessica C Zweers; Jan Maarten van Dijl
Journal:  Antimicrob Agents Chemother       Date:  2008-12-01       Impact factor: 5.191

Review 10.  Challenges, current status and future perspectives of proteomics in improving understanding, diagnosis and treatment of vascular disease.

Authors:  J V Moxon; M P Padula; B R Herbert; J Golledge
Journal:  Eur J Vasc Endovasc Surg       Date:  2009-07-09       Impact factor: 7.069

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