Skip to main content

Identification and Regulation of Multimeric Protein Complexes in Autophagy via SILAC-Based Mass Spectrometry Approaches

  • Protocol
  • First Online:
Autophagy

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1880))

Abstract

Mass spectrometry (MS)-based identification and characterization of protein complexes is becoming a prerequisite for in-depth biochemical analyses of intracellular processes. Here, we describe two state-of-the-art MS-based approaches to characterize protein-protein interactions and multi-protein complexes involved in autophagy in mammalian cells. The combination of affinity purification (AP)-MS, which identifies binary protein-protein interactions, with size-exclusion chromatography (SEC)-protein correlation profiling (PCP), which helps monitor protein complex assemblies, is a powerful tool to acquire a full overview of the interlinkage and regulation of novel multi-protein complexes that might play a role in autophagy.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 249.99
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. Ktistakis NT, Tooze SA (2016) Digesting the Expanding Mechanisms of Autophagy. Trends Cell Biol 26(8):624–635

    Article  CAS  Google Scholar 

  2. Klionsky DJ, Abdelmohsen K, Abe A, Abedin MJ, Abeliovich H, Acevedo Arozena A, Adachi H, Adams CM, Adams PD, Adeli K et al (2016) Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition). Autophagy 12(1):1–222

    Article  Google Scholar 

  3. Ryter SW, Cloonan SM, Choi AM (2013) Autophagy: a critical regulator of cellular metabolism and homeostasis. Mol Cells 36(1):7–16

    Article  CAS  Google Scholar 

  4. Choi AM, Ryter SW, Levine B (2013) Autophagy in human health and disease. N Engl J Med 368(7):651–662

    Article  CAS  Google Scholar 

  5. Blagoev B, Kratchmarova I, Ong SE, Nielsen M, Foster LJ, Mann M (2003) A proteomics strategy to elucidate functional protein-protein interactions applied to EGF signaling. Nat Biotechnol 21(3):315–318

    Article  CAS  Google Scholar 

  6. Kristensen AR, Foster LJ (2014) Protein correlation profiling-SILAC to study protein-protein interactions. Methods Mol Biol 1188:263–270

    Article  Google Scholar 

  7. Ong SE, Blagoev B, Kratchmarova I, Kristensen DB, Steen H, Pandey A, Mann M (2002) Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics. Mol Cell Proteomics 1(5):376–386

    Article  CAS  Google Scholar 

  8. Kuttner V, Mack C, Gretzmeier C, Bruckner-Tuderman L, Dengjel J (2014) Loss of collagen VII is associated with reduced transglutaminase 2 abundance and activity. J Invest Dermatol 134(9):2381–2389

    Article  Google Scholar 

  9. Diedrich B, Rigbolt KT, Roring M, Herr R, Kaeser-Pebernard S, Gretzmeier C, Murphy RF, Brummer T, Dengjel J (2017) Discrete cytosolic macromolecular BRAF complexes exhibit distinct activities and composition. EMBO J 36(5):646–663

    Article  CAS  Google Scholar 

  10. Becker AC, Dengjel J (2014) Autophagosomal proteome analysis by protein correlation profiling-SILAC. Methods Mol Biol 1188:271–279

    Article  Google Scholar 

  11. Rappsilber J, Mann M, Ishihama Y (2007) Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips. Nat Protoc 2(8):1896–1906

    Article  CAS  Google Scholar 

  12. Cox J, Mann M (2008) MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat Biotechnol 26(12):1367–1372

    Article  CAS  Google Scholar 

  13. Tyanova S, Temu T, Sinitcyn P, Carlson A, Hein MY, Geiger T, Mann M, Cox J (2016) The Perseus computational platform for comprehensive analysis of (prote)omics data. Nat Methods 13(9):731–740

    Article  CAS  Google Scholar 

  14. Rigbolt KT, Vanselow JT, Blagoev B (2011) GProX, a user-friendly platform for bioinformatics analysis and visualization of quantitative proteomics data. Mol Cell Proteomics 10(8):O110 007450

    Article  Google Scholar 

  15. Selbach M, Mann M (2006) Protein interaction screening by quantitative immunoprecipitation combined with knockdown (QUICK). Nat Methods 3(12):981–983

    Article  CAS  Google Scholar 

  16. Gretzmeier C, Eiselein S, Johnson GR, Engelke R, Nowag H, Zarei M, Kuttner V, Becker AC, Rigbolt KTG, Hoyer-Hansen M et al (2017) Degradation of protein translation machinery by amino acid starvation- induced macroautophagy. Autophagy 13(6):1064–1075

    Article  CAS  Google Scholar 

Download references

Acknowledgments

This work was generously supported by the Swiss National Science Foundation (grants 31003A-166482/1, 316030-177088 ), by the Novartis Foundation for Medical-Biological Research (grant 16C221), by TRANSAUTOPHAGY (COST Action CA15138), and by the Alexander von Humboldt Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jörn Dengjel .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Science+Business Media, LLC, part of Springer Nature

About this protocol

Check for updates. Verify currency and authenticity via CrossMark

Cite this protocol

Kaeser-Pebernard, S., Diedrich, B., Dengjel, J. (2019). Identification and Regulation of Multimeric Protein Complexes in Autophagy via SILAC-Based Mass Spectrometry Approaches. In: Ktistakis, N., Florey, O. (eds) Autophagy. Methods in Molecular Biology, vol 1880. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8873-0_23

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-8873-0_23

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-8872-3

  • Online ISBN: 978-1-4939-8873-0

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics