Literature DB >> 12716129

Affinity labeling of highly hydrophobic integral membrane proteins for proteome-wide analysis.

Michael B Goshe1, Josip Blonder, Richard D Smith.   

Abstract

The ability to identify and quantitate integral membrane proteins is an analytical challenge for mass spectrometry-based proteomics. The use of surfactants to solubilize and facilitate derivatization of these proteins can suppress peptide ionization and interfere with chromatographic separations during microcapillary reversed-phase liquid chromatography-electrospray-tandem mass spectrometry. To circumvent the use of surfactants and increase proteome coverage, an affinity labeling method has been developed to target highly hydrophobic integral membrane proteins using organic-assisted extraction and solubilization followed by cysteinyl-specific labeling using biotinylation reagents. As demonstrated on the membrane subproteome of Deinococcus radiodurans, specific and quantitative labeling of integral membrane proteins was achieved using a 60% methanol-aqueous buffer system and (+)-biotinyl-iodoacetamidyl-3,6-dioxaoctanediamine as the cysteinyl-alkylating reagent. From a total of 220 unique Cys-labeled peptides, 89 proteins were identified, of which 40 were integral membrane proteins containing from one to nine mapped transmembrane domains with a maximum positive GRAVY of 1.08. The protocol described can be used with other stable isotope labeling reagents (e.g., ICAT) to enable comparative measurements to be made on differentially expressed hydrophobic membrane proteins from various organisms (e.g., pathogenic bacteria) and cell types and provide a viable method for comparative proteome-wide analyses.

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Year:  2003        PMID: 12716129     DOI: 10.1021/pr0255607

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  11 in total

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Authors:  Xiaoting Tang; Wei Yi; Gerhard R Munske; Devi P Adhikari; Natalia L Zakharova; James E Bruce
Journal:  J Proteome Res       Date:  2007-02       Impact factor: 4.466

2.  Improved method for the analysis of membrane proteins by mass spectrometry.

Authors:  Shama P Mirza; Brian D Halligan; Andrew S Greene; Michael Olivier
Journal:  Physiol Genomics       Date:  2007-03-06       Impact factor: 3.107

3.  Elastase digests: new ammunition for shotgun membrane proteomics.

Authors:  Benjamin Rietschel; Tabiwang N Arrey; Bjoern Meyer; Sandra Bornemann; Malte Schuerken; Michael Karas; Ansgar Poetsch
Journal:  Mol Cell Proteomics       Date:  2008-12-30       Impact factor: 5.911

4.  Complementary analysis of the vegetative membrane proteome of the human pathogen Staphylococcus aureus.

Authors:  Susanne Wolff; Hannes Hahne; Michael Hecker; Dörte Becher
Journal:  Mol Cell Proteomics       Date:  2008-05-06       Impact factor: 5.911

5.  Quantitative analysis of surface plasma membrane proteins of primary and metastatic melanoma cells.

Authors:  Haibo Qiu; Yinsheng Wang
Journal:  J Proteome Res       Date:  2008-04-15       Impact factor: 4.466

6.  Microwave-assisted acid hydrolysis of proteins combined with liquid chromatography MALDI MS/MS for protein identification.

Authors:  Hongying Zhong; Sandra L Marcus; Liang Li
Journal:  J Am Soc Mass Spectrom       Date:  2005-04       Impact factor: 3.109

7.  Stable isotope metabolic labeling-based quantitative phosphoproteomic analysis of Arabidopsis mutants reveals ethylene-regulated time-dependent phosphoproteins and putative substrates of constitutive triple response 1 kinase.

Authors:  Zhu Yang; Guangyu Guo; Manyu Zhang; Claire Y Liu; Qin Hu; Henry Lam; Han Cheng; Yu Xue; Jiayang Li; Ning Li
Journal:  Mol Cell Proteomics       Date:  2013-09-16       Impact factor: 5.911

8.  In vitro oxidative footprinting provides insight into apolipoprotein B-100 structure in low-density lipoprotein.

Authors:  Sourav Chakraborty; Yang Cai; Matthew A Tarr
Journal:  Proteomics       Date:  2014-10-09       Impact factor: 3.984

9.  A functional proteomic method for biomarker discovery.

Authors:  Fred Reynolds; Nivedha Panneer; Christopher M Tutino; Michael Wu; William R Skrabal; Christopher Moskaluk; Kimberly A Kelly
Journal:  PLoS One       Date:  2011-07-19       Impact factor: 3.240

10.  The mouse C2C12 myoblast cell surface N-linked glycoproteome: identification, glycosite occupancy, and membrane orientation.

Authors:  Rebekah L Gundry; Kimberly Raginski; Yelena Tarasova; Irina Tchernyshyov; Damaris Bausch-Fluck; Steven T Elliott; Kenneth R Boheler; Jennifer E Van Eyk; Bernd Wollscheid
Journal:  Mol Cell Proteomics       Date:  2009-08-04       Impact factor: 5.911

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