Skip to main content

Mining Proteomic MS/MS Data for MRM Transitions

  • Protocol
  • First Online:

Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 604))

Abstract

Multiple reaction monitoring (MRM) of peptides is a popular proteomics technique that employs tandem mass spectrometry to quantify selected proteins of interest, such as those previously identified in differential protein identification studies. Using this technique, the specificity of precursor to product transitions is exploited to determine the absolute quantity of multiple proteins in a single sample. Selection of suitable transitions is critical for the success of MRM experiments, but accurate theoretical prediction of fragmentation patterns and peptide signal intensity is currently not possible. A recently proposed solution to this problem is to combine knowledge of the preferred properties of transitions for MRM, taken from expert practitioners, with MS/MS evidence extracted from a proteomics data repository. In addition, by predicting retention time for each peptide candidate, it allows selection of several compatible transition candidates that can be monitored simultaneously, permitting MRM. In this chapter, we explain how to go about designing transitions using the web-based transition design tool, MRMaid, which leverages high quality MS/MS evidence from the Genome Annotating Proteomic Pipeline (GAPP).

This is a preview of subscription content, log in via an institution.

Buying options

Protocol
USD   49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   159.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Springer Nature is developing a new tool to find and evaluate Protocols. Learn more

References

  1. Gerber, S. A., Rush, J., Stemman, O., Kirschner, M. W., Gygi, S. P. (2003) Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS. PNAS. 100, 6940-6945.

    Article  CAS  PubMed  Google Scholar 

  2. Kay, R. G., Gregory, B., Grace, P. B., Pleasance, S. (2007) The application of ultra-performance liquid chromatography/tandem mass spectrometry to the detection and quantitation of apolipoproteins in human serum. Rapid Comm Mas Spectrom. 21, 2585-2593.

    Google Scholar 

  3. Keshishian, H., Addona, T., Burgess, M., Kuhn, E., Carr, S. A. (2007) Quantitative, multiplexed assays for low abundance proteins in plasma by targeted mass spectrometry and stable isotope dilution. Mol Cell Proteomics. 6, 2212-2229.

    Article  CAS  PubMed  Google Scholar 

  4. Barnidge, D. R., Dratz, E. A., Martin, T., Bonilla, L. E., et al. (2003) Absolute quantification of the G protein-coupled receptor rhodopsin by LC/MS/MS using proteolysis product peptides and synthetic peptide standards. Anal Chem. 75, 445-451.

    Article  CAS  PubMed  Google Scholar 

  5. Zhang, F., Bartels, M. J., Stott, W. T. (2004) Quantitation of human glutathione S-transferases in complex matrices by liquid chromatography/tandem mass spectrometry with signature peptides. Rapid Comm Mass Spec. 18, 491-498.

    Article  CAS  Google Scholar 

  6. Wolf-Yadlin, A., Hautanleml, S., Lauffenburger, D. A., White, F. M. (2007) Multiple reaction monitoring for robust quantitative proteomic analysis of cellular signaling networks. PNAS. 104, 5860-5865.

    Article  CAS  PubMed  Google Scholar 

  7. Mead, J. A., Bianco, L., Ottone, V., Barton, C., et al. (2008) MRMaid: the web-based tool for designing multiple reaction monitoring (MRM) transitions. Mol Cell Proteomics. E-pub 15th Nov, M800192-MCP800200.

    Google Scholar 

  8. Shadforth, I., Xu, W., Crowther, D., Bessant, C. (2006) GAPP: a fully automated software for the confident identification of human peptides from tandem mass spectra. J. Proteome Res. 5, 2849-2852.

    Article  CAS  PubMed  Google Scholar 

  9. Craig, R., Beavis, R. C, (2003) A method for reducing the time required to match protein sequences with tandem mass spectra. Rapid Communications in Mass Spectrometry. 17, 2310-2316.

    Article  CAS  PubMed  Google Scholar 

  10. Shadforth, I., Dunkley, T., Lilley, K., Crowther, D., Bessant, C. (2005) Confident protein identification using the average peptide score method coupled with search-specific, ab initio thresholds. Rapid Communications in Mass Spectrometry. 19, 3363-3368.

    Article  CAS  PubMed  Google Scholar 

  11. Mallick, P., Schirle, M., Chen, S. S., Flory, M. R., et al. (2007) Computational prediction of proteotypic peptides for quantitative proteomics. Nat. Biotech. 25, 125-131.

    Article  CAS  Google Scholar 

  12. Côté, R. G., Jones, P., Martens, L., Kerrien, S., et al. (2007) The Protein Identifier Cross-Referencing (PICR) service: reconciling protein identifiers across multiple source databases. BMC Bioinformatics. 18, 401.

    Article  Google Scholar 

  13. Krokhin, O. V., Craig, R., Spicer, V., Ens, W., et al. (2004) An improved model for prediction of retention times of tryptic peptides in ion pair reversed-phase HPLC: Its application to protein peptide mapping by off-line HPLC-MALDI MS. Mol Cell Proteomics. 3, 908-919.

    Article  CAS  PubMed  Google Scholar 

  14. Anderson, L., Hunter, C. L. (2006) Quantitative mass spectrometric multiple reaction monitoring assays for major plasma proteins. Mol Cell Proteomics. 5, 573-588.

    CAS  PubMed  Google Scholar 

  15. Unwin, R. D., Griffiths, J. R., Leverentz, M. K., Grallert, A., et al. (2005) Multiple reaction monitoring to identify sites of protein phosphorylation with high sensitivity. Mol. Cell. Proteomics. 4, 1134-1144.

    Article  CAS  PubMed  Google Scholar 

  16. Lange, V., Malmstrom, J., Didion, J., King, N. L., et al. (2008) Targeted quantitative analysis of Streptococcus pyogenes virulence factors by multiple reaction monitoring. Mol Cell Proteomics. 7, 1489-1500.

    Article  CAS  PubMed  Google Scholar 

  17. Deutsch, E. W., Lam, H., Aebersold, R. (2008) PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows EMBO Rep. 9, 429-434.

    CAS  Google Scholar 

  18. Martin, P. B, Holzman, T., May, D., Peterson, A. et al. (2008) MRMet: An interactive open-source and cross-platform system for data extraction and visualization of multiple reaction monitoring experiments. Mol Cell. Proteomics 7, 2270-2278

    Google Scholar 

  19. Prakash, A., Tomazela, D.M., Frewen, B., Maclean, B. et al. (2009) Expediting the development of target SRM assays: using data from shotgun proteomics to automate method development. J. Proteome Res 8, 2733-2739.

    Google Scholar 

  20. Walsh, G.M., Lin, S., Evans, D.M., Khosrovi-Eghbal, A., et al. (2009) J. Proteomies 72, 838-852

    Google Scholar 

  21. Sherwood, C., Eastham, A., Peterson, A., Eng, J.K. et al. (2009) MaRiMba: a software application for spectral library-based MRM transition list assembly J. Proteome Res. 8, 4396-4405

    Google Scholar 

  22. Cham, J.A., Bianco, L., Bessant, C. (2010) Free computational resources for designing selected monitoring (SRM) transitions Proteomics (in press)

    Google Scholar 

  23. Birney, E., Andrews, T. D., Bevan, P., Caccamo, M., et al. (2004) An Overview of Ensembl. NAR. 14, 925-928.

    CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Conrad Bessant .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Humana Press, a part of Springer Science+Business Media, LLC

About this protocol

Cite this protocol

Chem (Mead), J.A., Bianco, L., Bessant, C. (2010). Mining Proteomic MS/MS Data for MRM Transitions. In: Hubbard, S., Jones, A. (eds) Proteome Bioinformatics. Methods in Molecular Biology™, vol 604. Humana Press. https://doi.org/10.1007/978-1-60761-444-9_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-60761-444-9_13

  • Published:

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-60761-443-2

  • Online ISBN: 978-1-60761-444-9

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics