Literature DB >> 28137561

Quantitative Proteomics of the E. coli Membranome.

K C Tsolis1, A Economou2.   

Abstract

Due to their physicochemical properties, membrane protein proteomics analyses often require extensive sample preparation protocols resulting in sample loss and introducing technical variation. Several methods for membrane proteomics have been described, designed to meet the needs of specific sample types and experimental designs. Here, we present a complete membrane proteomics pipeline starting from the membrane sample preparation to the protein identification/quantification and also discuss about annotation of proteomics data. The protocol has been developed using Escherichia coli samples but is directly adaptable to other bacteria including pathogens. We describe a method for the preparation of E. coli inner membrane vesicles (IMVs) central to our pipeline. IMVs are functional membrane vesicles that can also be used for biochemical studies. Next, we propose methods for membrane protein digestion and describe alternative experimental approaches that have been previously tested in our lab. We highlight a surface proteolysis protocol for the identification of inner membrane and membrane-bound proteins. This is a simple, fast, and reproducible method for the membrane sample characterization that has been previously used for the E. coli inner membrane proteome characterization (Papanastasiou et al., 2013) and the experimental validation of E. coli membrane proteome (Orfanoudaki & Economou, 2014). It provides a reduced load on MS-time and allows for multiple repeats. Then we discuss membrane protein quantification approaches and tools that can be used for the functional annotation of identified proteins. Overall, membrane proteome quantification can be fast, simplified, and reproducible; however, optimization steps should be performed for a given sample type.
© 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Desalting; IMVs; Membrane protein quantification; Membrane proteomics; Membrane-associated proteins; STEPdb; Surface proteolysis

Mesh:

Substances:

Year:  2016        PMID: 28137561     DOI: 10.1016/bs.mie.2016.09.026

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  6 in total

1.  Secretome Dynamics in a Gram-Positive Bacterial Model.

Authors:  Konstantinos C Tsolis; Mohamed Belal Hamed; Kenneth Simoens; Joachim Koepff; Tobias Busche; Christian Rückert; Marco Oldiges; Jörn Kalinowski; Jozef Anné; Jan Kormanec; Kristel Bernaerts; Spyridoula Karamanou; Anastassios Economou
Journal:  Mol Cell Proteomics       Date:  2018-11-29       Impact factor: 5.911

2.  Hierarchical protein targeting and secretion is controlled by an affinity switch in the type III secretion system of enteropathogenic Escherichia coli.

Authors:  Athina G Portaliou; Konstantinos C Tsolis; Maria S Loos; Vassileia Balabanidou; Josep Rayo; Alexandra Tsirigotaki; Valerie F Crepin; Gad Frankel; Charalampos G Kalodimos; Spyridoula Karamanou; Anastassios Economou
Journal:  EMBO J       Date:  2017-11-06       Impact factor: 11.598

3.  Multi-Omics and Targeted Approaches to Determine the Role of Cellular Proteases in Streptomyces Protein Secretion.

Authors:  Tobias Busche; Konstantinos C Tsolis; Joachim Koepff; Yuriy Rebets; Christian Rückert; Mohamed B Hamed; Arne Bleidt; Wolfgang Wiechert; Mariia Lopatniuk; Ahmed Yousra; Jozef Anné; Spyridoula Karamanou; Marco Oldiges; Jörn Kalinowski; Andriy Luzhetskyy; Anastassios Economou
Journal:  Front Microbiol       Date:  2018-06-04       Impact factor: 5.640

4.  Systematic Localization of Escherichia coli Membrane Proteins.

Authors:  Anna Sueki; Frank Stein; Mikhail M Savitski; Joel Selkrig; Athanasios Typas
Journal:  mSystems       Date:  2020-03-03       Impact factor: 6.496

5.  Signal Recognition Particle Suppressor Screening Reveals the Regulation of Membrane Protein Targeting by the Translation Rate.

Authors:  Liuqun Zhao; Yanyan Cui; Gang Fu; Zixiang Xu; Xiaoping Liao; Dawei Zhang
Journal:  mBio       Date:  2021-01-12       Impact factor: 7.867

6.  Compensating Complete Loss of Signal Recognition Particle During Co-translational Protein Targeting by the Translation Speed and Accuracy.

Authors:  Liuqun Zhao; Gang Fu; Yanyan Cui; Zixiang Xu; Tao Cai; Dawei Zhang
Journal:  Front Microbiol       Date:  2021-07-09       Impact factor: 5.640

  6 in total

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