Skip to main content

Computational Approaches to Selected Reaction Monitoring Assay Design

  • Protocol
  • First Online:
Mass Spectrometry Data Analysis in Proteomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1007))

Abstract

Selected reaction monitoring (SRM) is becoming the tool of choice for targeted quantitative proteomics, with applications as diverse as clinical diagnostics and systems biology. Assay design is critical to the success of every SRM experiment. For each protein of interest it is necessary to find a set of peptides that can be monitored as surrogates for that protein. These peptides must satisfy a number of criteria, including uniqueness in the proteome, detectability by mass spectrometry, and suitability of product ion series. Finding peptides that meet all these criteria is time consuming, especially when seeking to quantify multiple proteins in a single run. In response to these challenges, a number of groups have developed freely available tools to assist in the process of SRM assay design—these include databases, online tools, and stand-alone software. This chapter introduces some of these tools and explains how they can help to facilitate reliable SRM experiments.

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

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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

Institutional subscriptions

Notes

  1. 1.

    Technically, the term transition refers only to the m/z values but we typically link these with a RT for additional discrimination.

  2. 2.

    http://gpmdb.thegpm.org/mrm/index.html.

  3. 3.

    http://www.peptideatlas.org.

  4. 4.

    https://db.systemsbiology.net/sbeams/cgi/PeptideAtlas/GetTransitionLists.

  5. 5.

    http://www.mrmaid.info.

  6. 6.

    https://skyline.gs.washington.edu/labkey/project/home/software/Skyline/begin.view.

  7. 7.

    https://db.systemsbiology.net/sbeams/cgi/PeptideAtlas/GetPTP.

References

  1. Mead JA, Bianco L, Bessant C (2009) Recent developments in public proteomic MS repositories and pipelines. Proteomics 9:861–881

    Article  PubMed  CAS  Google Scholar 

  2. Vizcaino JA, Cote R, Reisinger F, Foster JM, Mueller M, Rameseder J, Hermjakob H, Martens L (2009) A guide to the proteomics identifications database proteomics data repository. Proteomics 9:4276–4283

    Article  PubMed  CAS  Google Scholar 

  3. Craig R, Cortens JP, Beavis RC (2004) Open source system for analyzing, validating, and storing protein identification data. J Proteome Res 3:1234–1242

    Article  PubMed  CAS  Google Scholar 

  4. Desiere F, Deutsch EW, King NL, Nesvizhskii AI, Mallick P, Eng J, Chen S, Eddes J, Loevenich SN, Aebersold R (2006) The PeptideAtlas project. Nucleic Acids Res 34:D655–D658

    Article  PubMed  CAS  Google Scholar 

  5. Craig R, Cortens JC, Fenyo D, Beavis RC (2006) Using annotated peptide mass spectrum libraries for protein identification. J Proteome Res 5:1843–1849

    Article  PubMed  CAS  Google Scholar 

  6. Krokhin OV, Craig R, Spicer V, Ens W, Standing KG, Beavis RC, Wilkins JA (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  PubMed  CAS  Google Scholar 

  7. Fan J, Mohareb F, Bond NJ, Lilley KS, Bessant C (2012) MRMaid 2.0: mining PRIDE for evidence-based SRM transitions. OMICS 6(9):483–488

    Google Scholar 

  8. Mead JA, Bianco L, Ottone V, Barton C, Kay RG, Lilley KS, Bond NJ, Bessant C (2009) MRMaid: the web-based tool for designing multiple reaction monitoring (MRM) transitions. Mol Cell Proteomics 8:696–705

    Article  PubMed  CAS  Google Scholar 

  9. MacLean B, Tomazela DM, Shulman N, Chambers M, Finney GL, Frewen B, Kern R, Tabb DL, Liebler DC, MacCoss MJ (2010) Skyline: an open source document editor for creating and analyzing targeted proteomics experiments. Bioinformatics 26:966–968

    Article  PubMed  CAS  Google Scholar 

  10. Mallick P, Schirle M, Chen SS, Flory MR, Lee H, Martin D, Ranish J, Raught B, Schmitt R, Werner T, Kuster B, Aebersold R (2007) Computational prediction of proteotypic peptides for quantitative proteomics. Nat Biotechnol 25:125–131

    Article  PubMed  CAS  Google Scholar 

  11. Eyers C, Lawless C, Wedge D, Lau K, Gaskell S, Hubbard S (2011) CONSeQuence: prediction of reference peptides for absolute quantitative proteomics using consensus machine learning approaches. Mol Cell Proteomics 10:M110.003384

    Article  PubMed  Google Scholar 

  12. Deutsch EW, Chambers M, Neumann S, Levander F, Binz PA, Shofstahl J, Campbell DS, Mendoza L, Ovelleiro D, Helsens K, Martens L, Aebersold R, Moritz RL, Brusniak M-Y (2012) TraML—a standard format for exchange of selected reaction monitoring transition lists. Mol Cell Proteomics 11(4):R111.015040

    Google Scholar 

Download references

Acknowledgments

The authors are grateful to Jennifer Cham for her initial research into available tools. The authors acknowledge funding from BBSRC (grant BB/I001131/1).

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media, LLC

About this protocol

Cite this protocol

Bessant, C., Fan, J. (2013). Computational Approaches to Selected Reaction Monitoring Assay Design. In: Matthiesen, R. (eds) Mass Spectrometry Data Analysis in Proteomics. Methods in Molecular Biology, vol 1007. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-392-3_9

Download citation

  • DOI: https://doi.org/10.1007/978-1-62703-392-3_9

  • Published:

  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-62703-391-6

  • Online ISBN: 978-1-62703-392-3

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics