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Perfluorooctanoic Acid for Shotgun Proteomics

Overview of attention for article published in PLOS ONE, December 2010
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Title
Perfluorooctanoic Acid for Shotgun Proteomics
Published in
PLOS ONE, December 2010
DOI 10.1371/journal.pone.0015332
Pubmed ID
Authors

Chandra Sekhar Rao Kadiyala, Sara E. Tomechko, Masaru Miyagi

Abstract

Here, we describe the novel use of a volatile surfactant, perfluorooctanoic acid (PFOA), for shotgun proteomics. PFOA was found to solubilize membrane proteins as effectively as sodium dodecyl sulfate (SDS). PFOA concentrations up to 0.5% (w/v) did not significantly inhibit trypsin activity. The unique features of PFOA allowed us to develop a single-tube shotgun proteomics method that used all volatile chemicals that could easily be removed by evaporation prior to mass spectrometry analysis. The experimental procedures involved: 1) extraction of proteins in 2% PFOA; 2) reduction of cystine residues with triethyl phosphine and their S-alkylation with iodoethanol; 3) trypsin digestion of proteins in 0.5% PFOA; 4) removal of PFOA by evaporation; and 5) LC-MS/MS analysis of the resulting peptides. The general applicability of the method was demonstrated with the membrane preparation of photoreceptor outer segments. We identified 75 proteins from 1 µg of the tryptic peptides in a single, 1-hour, LC-MS/MS run. About 67% of the proteins identified were classified as membrane proteins. We also demonstrate that a proteolytic (18)O labeling procedure can be incorporated after the PFOA removal step for quantitative proteomic experiments. The present method does not require sample clean-up devices such as solid-phase extractions and membrane filters, so no proteins/peptides are lost in any experimental steps. Thus, this single-tube shotgun proteomics method overcomes the major drawbacks of surfactant use in proteomic experiments.

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The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 25%
Student > Ph. D. Student 9 15%
Student > Bachelor 6 10%
Student > Master 5 8%
Professor > Associate Professor 4 7%
Other 12 20%
Unknown 8 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 32%
Chemistry 12 20%
Medicine and Dentistry 6 10%
Biochemistry, Genetics and Molecular Biology 5 8%
Engineering 2 3%
Other 4 7%
Unknown 11 19%