Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Protocol
  • Published:

Resin-assisted enrichment of thiols as a general strategy for proteomic profiling of cysteine-based reversible modifications

Abstract

Reversible modifications of cysteine thiols have a key role in redox signaling and regulation. A number of reversible redox modifications, including disulfide formation, S-nitrosylation (SNO) and S-glutathionylation (SSG), have been recognized for their significance in various physiological and pathological processes. Here we describe a procedure for the enrichment of peptides containing reversible cysteine modifications. Starting with tissue or cell lysate samples, all of the unmodified free thiols are blocked using N-ethylmaleimide (NEM). This is followed by the selective reduction of those cysteines bearing the reversible modification(s) of interest. The reduction is achieved by using different reducing reagents that react specifically with each type of cysteine modification (e.g., ascorbate for SNO). This protocol serves as a general approach for enrichment of thiol-containing proteins or peptides derived from reversibly modified proteins. The approach uses a commercially available thiol-affinity resin (thiopropyl Sepharose 6B) to directly capture free thiol-containing proteins through a disulfide exchange reaction, followed by on-resin protein digestion and multiplexed isobaric labeling to facilitate liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based quantitative site-specific analysis of cysteine-based reversible modifications. The overall approach requires a simpler workflow with increased specificity compared with the commonly used biotinylation-based assays. The procedure for selective enrichment and analyses of SNO and the level of total reversible cysteine modifications (or total oxidation) is presented to demonstrate the utility of this general strategy. The entire protocol requires 3 d for sample processing with an additional day for LC-MS/MS and data analysis.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Schematic of the pre-processing and enrichment strategy for different reversible cysteine modifications.
Figure 2: Enrichment of SNO-modified peptides from mouse muscle cells.
Figure 3: Cysteine oxidation in RAW cells

Similar content being viewed by others

References

  1. Giron, P., Dayon, L. & Sanchez, J.C. Cysteine tagging for MS-based proteomics. Mass Spectrom. Rev. 30, 366–395 (2011).

    Article  CAS  Google Scholar 

  2. Held, J.M. & Gibson, B.W. Regulatory control or oxidative damage? Proteomic approaches to interrogate the role of cysteine oxidation status in biological processes. Mol. Cell Proteomics 11, R111.013037 (2012).

    Article  Google Scholar 

  3. Antelmann, H. & Helmann, J.D. Thiol-based redox switches and gene regulation. Antioxid. Redox Signal. 14, 1049–1063 (2011).

    Article  CAS  Google Scholar 

  4. Bachi, A., Dalle-Donne, I. & Scaloni, A. Redox proteomics: chemical principles, methodological approaches and biological/biomedical promises. Chem. Rev. 113, 596–698 (2013).

    Article  CAS  Google Scholar 

  5. Sato, Y. & Inaba, K. Disulfide bond formation network in the three biological kingdoms, bacteria, fungi and mammals. FEBS J. 279, 2262–2271 (2012).

    Article  CAS  Google Scholar 

  6. Derakhshan, B., Wille, P.C. & Gross, S.S. Unbiased identification of cysteine S-nitrosylation sites on proteins. Nat. Protoc. 2, 1685–1691 (2007).

    Article  CAS  Google Scholar 

  7. Greco, T.M. et al. Identification of S-nitrosylation motifs by site-specific mapping of the S-nitrosocysteine proteome in human vascular smooth muscle cells. Proc. Natl. Acad. Sci. USA 103, 7420–7425 (2006).

    Article  CAS  Google Scholar 

  8. Hess, D.T., Matsumoto, A., Kim, S.O., Marshall, H.E. & Stamler, J.S. Protein S-nitrosylation: purview and parameters. Nat. Rev. Mol. Cell. Biol. 6, 150–166 (2005).

    Article  CAS  Google Scholar 

  9. Paulsen, C.E. et al. Peroxide-dependent sulfenylation of the EGFR catalytic site enhances kinase activity. Nat. Chem. Biol. 8, 57–64 (2012).

    Article  CAS  Google Scholar 

  10. Wan, J., Roth, A.F., Bailey, A.O. & Davis, N.G. Palmitoylated proteins: purification and identification. Nat. Protoc. 2, 1573–1584 (2007).

    Article  CAS  Google Scholar 

  11. Roth, A.F. et al. Global analysis of protein palmitoylation in yeast. Cell 125, 1003–1013 (2006).

    Article  CAS  Google Scholar 

  12. Brandes, N., Schmitt, S. & Jakob, U. Thiol-based redox switches in eukaryotic proteins. Antioxid. Redox Signal. 11, 997–1014 (2009).

    Article  CAS  Google Scholar 

  13. Jortzik, E., Wang, L. & Becker, K. Thiol-based posttranslational modifications in parasites. Antioxid. Redox Signal. 17, 657–673 (2012).

    Article  CAS  Google Scholar 

  14. Jaffrey, S.R., Erdjument-Bromage, H., Ferris, C.D., Tempst, P. & Snyder, S.H. Protein S-nitrosylation: a physiological signal for neuronal nitric oxide. Nat. Cell. Biol. 3, 193–197 (2001).

    Article  CAS  Google Scholar 

  15. Jaffrey, S.R. & Snyder, S.H. The biotin switch method for the detection of S-nitrosylated proteins. Sci. STKE 2001, pl1 (2001).

    CAS  PubMed  Google Scholar 

  16. Lind, C. et al. Identification of S-glutathionylated cellular proteins during oxidative stress and constitutive metabolism by affinity purification and proteomic analysis. Arch. Biochem. Biophys. 406, 229–240 (2002).

    Article  CAS  Google Scholar 

  17. Reynaert, N.L. et al. In situ detection of S-glutathionylated proteins following glutaredoxin-1 catalyzed cysteine derivatization. Biochim. Biophys. Acta 1760, 380–387 (2006).

    Article  CAS  Google Scholar 

  18. Leichert, L.I. et al. Quantifying changes in the thiol redox proteome upon oxidative stress in vivo. Proc. Natl. Acad. Sci. USA 105, 8197–8202 (2008).

    Article  CAS  Google Scholar 

  19. Hao, G., Derakhshan, B., Shi, L., Campagne, F. & Gross, S.S. SNOSID, a proteomic method for identification of cysteine S-nitrosylation sites in complex protein mixtures. Proc. Natl. Acad. Sci. USA 103, 1012–1017 (2006).

    Article  CAS  Google Scholar 

  20. Liu, T. et al. Improved proteome coverage using high-efficiency cysteinyl peptide enrichment: the mammary epithelial cell proteome. Proteomics 5, 1263–1273 (2005).

    Article  CAS  Google Scholar 

  21. Liu, T. et al. High-throughput comparative proteome analysis using a quantitative cysteinyl-peptide enrichment technology. Anal. Chem. 76, 5345–5353 (2004).

    Article  CAS  Google Scholar 

  22. Forrester, M.T. et al. Proteomic analysis of S-nitrosylation and denitrosylation by resin-assisted capture. Nat. Biotechnol. 27, 557–559 (2009).

    Article  CAS  Google Scholar 

  23. Su, D. et al. Quantitative site-specific reactivity profiling of S-nitrosylation in mouse skeletal muscle using cysteinyl peptide enrichment coupled with mass spectrometry. Free Radic. Biol. Med. 57, 68–78 (2013).

    Article  CAS  Google Scholar 

  24. Liu, M. et al. Site-specific proteomics approach for study protein s-nitrosylation. Anal. Chem. 82, 7160–7168 (2010).

    Article  CAS  Google Scholar 

  25. Forrester, M.T. et al. Site-specific analysis of protein S-acylation by resin-assisted capture. J. Lipid Res. 52, 393–398 (2011).

    Article  CAS  Google Scholar 

  26. Paulech, J. et al. Large-scale capture of peptides containing reversibly oxidized cysteines by thiol-disulfide exchange applied to the myocardial redox proteome. Anal. Chem. 85, 3774–3780 (2013).

    Article  CAS  Google Scholar 

  27. Ross, P.L. et al. Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents. Mol. Cell. Proteomics 3, 1154–1169 (2004).

    Article  CAS  Google Scholar 

  28. Dayon, L. et al. Relative quantification of proteins in human cerebrospinal fluids by MS/MS using 6-plex isobaric tags. Anal. Chem. 80, 2921–2931 (2008).

    Article  CAS  Google Scholar 

  29. Shelton, M.D., Chock, P.B. & Mieyal, J.J. Glutaredoxin: role in reversible protein s-glutathionylation and regulation of redox signal transduction and protein translocation. Antioxid. Redox Signal. 7, 348–366 (2005).

    Article  CAS  Google Scholar 

  30. Zhang, C., Rodriguez, C., Circu, M.L., Aw, T.Y. & Feng, J. S-Glutathionyl quantification in the attomole range using glutaredoxin-3-catalyzed cysteine derivatization and capillary gel electrophoresis with laser-induced fluorescence detection. Anal. Bioanal. Chem. 401, 2165–2175 (2011).

    Article  CAS  Google Scholar 

  31. Mustafa, A.K. et al. H2S signals through protein S-sulfhydration. Sci. Signal. 2, ra72 (2009).

    PubMed  PubMed Central  Google Scholar 

  32. Pan, J. & Carroll, K.S. Persulfide reactivity in the detection of protein S-sulfhydration. ACS Chem. Biol. 2013, 1110–1116 (2013).

    Article  Google Scholar 

  33. Forrester, M.T., Foster, M.W. & Stamler, J.S. Assessment and application of the biotin switch technique for examining protein S-nitrosylation under conditions of pharmacologically induced oxidative stress. J. Biol. Chem. 282, 13977–13983 (2007).

    Article  CAS  Google Scholar 

  34. Forrester, M.T., Foster, M.W., Benhar, M. & Stamler, J.S. Detection of protein S-nitrosylation with the biotin-switch technique. Free Radic. Biol. Med. 46, 119–126 (2009).

    Article  CAS  Google Scholar 

  35. Ong, S.E. et al. Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics. Mol. Cell Proteomics 1, 376–386 (2002).

    Article  CAS  Google Scholar 

  36. Murray, C.I., Uhrigshardt, H., O'Meally, R.N., Cole, R.N. & Van Eyk, J.E. Identification and quantification of S-nitrosylation by cysteine reactive tandem mass tag switch assay. Mol. Cell Proteomics 11, M111 013441 (2012).

    Article  Google Scholar 

  37. Foster, M.W. Methodologies for the characterization, identification and quantification of S-nitrosylated proteins. Biochim. Biophys. Acta 1820, 675–683 (2012).

    Article  CAS  Google Scholar 

  38. Zhang, Y., Ficarro, S.B., Li, S. & Marto, J.A. Optimized orbitrap HCD for quantitative analysis of phosphopeptides. J. Am. Soc. Mass Spectrom. 20, 1425–1434 (2009).

    Article  CAS  Google Scholar 

  39. Kelly, R.T. et al. Chemically etched open tubular and monolithic emitters for nanoelectrospray ionization mass spectrometry. Anal. Chem. 78, 7796–7801 (2006).

    Article  CAS  Google Scholar 

  40. Livesay, E.A. et al. Fully automated four-column capillary LC-MS system for maximizing throughput in proteomic analyses. Anal. Chem. 80, 294–302 (2008).

    Article  CAS  Google Scholar 

  41. Eng, J.K., Mccormack, A.L. & Yates, J.R. An approach to correlate tandem mass-spectral data of peptides with amino acid sequences in a protein database. J. Am. Soc. Mass Spectrom. 5, 976–989 (1994).

    Article  CAS  Google Scholar 

  42. Elias, J.E. & Gygi, S.P. Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry. Nat. Methods 4, 207–214 (2007).

    Article  CAS  Google Scholar 

  43. Qian, W.J. et al. Probability-based evaluation of peptide and protein identifications from tandem mass spectrometry and SEQUEST analysis: the human proteome. J. Proteome Res. 4, 53–62 (2005).

    Article  CAS  Google Scholar 

  44. Kim, S., Gupta, N. & Pevzner, P.A. Spectral probabilities and generating functions of tandem mass spectra: a strike against decoy databases. J. Proteome Res. 7, 3354–3363 (2008).

    Article  CAS  Google Scholar 

  45. Viner, R.I., Williams, T.D. & Schoneich, C. Peroxynitrite modification of protein thiols: oxidation, nitrosylation, and S-glutathiolation of functionally important cysteine residue(s) in the sarcoplasmic reticulum Ca-ATPase. Biochemistry 38, 12408–12415 (1999).

    Article  CAS  Google Scholar 

  46. Knoefler, D. et al. Quantitative in vivo redox sensors uncover oxidative stress as an early event in life. Mol. Cell 47, 767–776 (2012).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Portions of this work were supported by the US National Institutes of Health (NIH) Director's New Innovator Award Program DP2OD006668 and a US Department of Energy (DOE) Early Career Research Award (to W.-J.Q.), NIH P41 GM103493 (to R.D.S.), and the DOE Office of Biological and Environmental Research Genome Sciences Program under the Pan-omics project. The experimental work was performed in the Environmental Molecular Science Laboratory, a DOE/Biological and Environmental Research (BER) national scientific user facility at the Pacific Northwest National Laboratory (PNNL) in Richland, Washington. PNNL is operated by Battelle for the DOE under contract no. DE-AC05-76RLO-1830.

Author information

Authors and Affiliations

Authors

Contributions

J.G., M.J.G. and D.S. performed the experiments and optimized the protocol; T.L. developed the initial enrichment method; D.G.C. and R.D.S. contributed to development of the measurement capabilities used; W.-J.Q. conceived and supervised the project. J.G., M.J.G. and W.-J.Q. wrote the manuscript.

Corresponding author

Correspondence to Wei-Jun Qian.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Table 1

Conditions for selective reduction, negative and positive controls for multiple reversible cysteine modifications. (PDF 223 kb)

Supplementary Data

Quantification of total cysteine oxidation levels in RAW cells treated with 0.1 mM and 0.5 mM diamide. (XLSX 220 kb)

Source data

Rights and permissions

Reprints and permissions

About this article

Cite this article

Guo, J., Gaffrey, M., Su, D. et al. Resin-assisted enrichment of thiols as a general strategy for proteomic profiling of cysteine-based reversible modifications. Nat Protoc 9, 64–75 (2014). https://doi.org/10.1038/nprot.2013.161

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nprot.2013.161

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing: Translational Research

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

Get what matters in translational research, free to your inbox weekly. Sign up for Nature Briefing: Translational Research