Skip to main content

Time-Resolved Analysis of Matrix Metalloproteinase Substrates in Complex Samples

  • Protocol
  • First Online:
Matrix Metalloproteases

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1579))

Abstract

Identification of physiological substrates is the key to understanding the pleiotropic functions of matrix metalloproteinases (MMPs) in health and disease. Quantitative mass spectrometry-based proteomics has revolutionized current approaches in protease substrate discovery and helped to unravel many new MMP activities in complex biological systems. Multiplexing further extended the capabilities of these techniques and facilitated more complicated experimental designs that include multiple proteases or monitoring the activity of a single protease at more than one concentration or at multiple time points with a complex test proteome. In this chapter, we provide a protocol for time-resolved iTRAQ-based Terminal Amine Isotopic Labeling of Substrates (TAILS), with the focus on MMP substrate identification and characterization in cell culture supernatants and introduce an automated procedure for the interpretation of time-resolved iTRAQ-TAILS datasets.

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 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
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

References

  1. Schlage P, auf dem Keller U (2015) Proteomic approaches to uncover MMP function. Matrix Biol 44–46:232–238

    Article  PubMed  Google Scholar 

  2. Rogers LD, Overall CM (2013) Proteolytic post-translational modification of proteins: proteomic tools and methodology. Mol Cell Proteomics 12:3532–3542

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Plasman K, Van Damme P, Gevaert K (2013) Contemporary positional proteomics strategies to study protein processing. Curr Opin Chem Biol 17:66–72

    Article  CAS  PubMed  Google Scholar 

  4. auf dem Keller U, Prudova A, Gioia M et al (2010) A statistics-based platform for quantitative N-terminome analysis and identification of protease cleavage products. Mol Cell Proteomics 9:912–927

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Schlage P, Egli FE, Nanni P et al (2014) Time-resolved analysis of the matrix metalloproteinase 10 substrate degradome. Mol Cell Proteomics 13:580–593

    Article  CAS  PubMed  Google Scholar 

  6. Plasman K, Van Damme P, Kaiserman D et al (2011) Probing the efficiency of proteolytic events by positional proteomics. Mol Cell Proteomics 10(M110):003301

    PubMed  Google Scholar 

  7. Prudova A, auf dem Keller U, Butler GS et al (2010) Multiplex N-terminome analysis of MMP-2 and MMP-9 substrate degradomes by iTRAQ-TAILS quantitative proteomics. Mol Cell Proteomics 9:894–911

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Schlage P, Kockmann T, Sabino F et al (2015) Matrix metalloproteinase 10 degradomics in keratinocytes and epidermal tissue identifies bioactive substrates with pleiotropic functions. Mol Cell Proteomics 14:3234–3246

    Google Scholar 

  9. auf dem Keller U, Overall CM (2012) CLIPPER-An add-on to the Trans-Proteomic Pipeline for the automated analysis of TAILS N-terminomics data. Biol Chem 393:1477–1483

    CAS  PubMed  Google Scholar 

  10. Deutsch EW, Mendoza L, Shteynberg D et al (2010) A guided tour of the Trans-Proteomic Pipeline. Proteomics 10:1150–1159

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Kumar L, Futschik ME (2007) Mfuzz: a software package for soft clustering of microarray data. Bioinformation 2:5–7

    Article  PubMed  PubMed Central  Google Scholar 

  12. Kockmann T, Carte N, Melkko S et al (2015) Identification of protease substrates in complex proteomes by iTRAQ-TAILS on a Thermo Q Exactive instrument. In: Grant J, Li H (eds) Analysis of post-translational modifications and proteolysis in neuroscience, Neuromethods. Springer Protocols, New York

    Google Scholar 

  13. Schwammle V, Jensen ON (2010) A simple and fast method to determine the parameters for fuzzy c-means cluster analysis. Bioinformatics 26:2841–2848

    Article  PubMed  Google Scholar 

  14. RStudio Team (2015) RStudio: Integrated Development for R. RStudio, Inc., Boston, MA

    Google Scholar 

Download references

Acknowledgments

A special thanks goes to S. Werner (ETH Zurich) for continuous support of our research. We want to thank Paolo Nanni, Tobias Kockmann, and the whole proteomics team of the Functional Genomics Center Zurich (FGCZ) for excellent support in mass spectrometry. This work was funded by grants from the Swiss National Science Foundation (31003A_140726 and 31003A_163216), the European Commission (Marie Curie International Reintegration Grant; FP7-PEOPLE- 2010-RG/SkiNterminomics) and the Novartis Foundation for Medical-Biological Research to U.a.d.K., and by funds from the ETH Zurich.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ulrich auf dem Keller .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media LLC

About this protocol

Cite this protocol

Schlage, P., Egli, F.E., auf dem Keller, U. (2017). Time-Resolved Analysis of Matrix Metalloproteinase Substrates in Complex Samples. In: Galea, C. (eds) Matrix Metalloproteases. Methods in Molecular Biology, vol 1579. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6863-3_9

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-6863-3_9

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-6861-9

  • Online ISBN: 978-1-4939-6863-3

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics