Skip to main content

Serum Exosome Isolation by Size-Exclusion Chromatography for the Discovery and Validation of Preeclampsia-Associated Biomarkers

  • Protocol
  • First Online:
Book cover Proteomics for Biomarker Discovery

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1959))

Abstract

Exosomes are extracellular nanovesicles of complex and heterogeneous composition that are released in biofluids such as blood. The interest in the characterization of exosomal biochemistry has increased over the last few years as they convey cellular proteins, lipids, and RNA that might reflect the biological or pathological condition of the source cell. In particular, association of changes of exosome proteins with specific pathogenic processes arises as a promising method to identify disease biomarkers as for the pregnancy-related preeclampsia. However, the overlapping physicochemical and structural characteristics of different types of extracellular vesicles have hindered the consolidation of universally accepted and standardized purification or enrichment protocols. Thus, it has been recently demonstrated that the exosomal protein profile resulting from in-depth proteomics analyses is highly dependent on the preparation protocol used, which will determine the particle type specificity and the presence/absence of contaminating proteins.

In this chapter, an isolation method of serum exosomes based on size-exclusion chromatography (SEC) using qEV columns (Izon) is described. We show that this method is fast and reliable, as the population of exosomes isolated is homogeneous in terms of size, morphology, and protein composition. This exosome enrichment method is compatible with downstream qualitative and quantitative proteomic analysis of the samples.

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 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 199.99
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. Gerszten RE, Wang TJ (2008) The search for new cardiovascular biomarkers. Nature 451(7181):949–952. https://doi.org/10.1038/nature06802

    Article  CAS  PubMed  Google Scholar 

  2. Hanash SM, Pitteri SJ, Faca VM (2008) Mining the plasma proteome for cancer biomarkers. Nature 452(7187):571–579. https://doi.org/10.1038/nature06916

    Article  CAS  PubMed  Google Scholar 

  3. Mateos J, Carneiro I, Corrales F et al (2017) Multicentric study of the effect of pre-analytical variables in the quality of plasma samples stored in biobanks using different complementary proteomic methods. J Proteome 150:109–120. https://doi.org/10.1016/j.jprot.2016.09.003

    Article  CAS  Google Scholar 

  4. Anderson NL, Anderson NG (2002) The human plasma proteome: history, character, and diagnostic prospects. Mol Cell Proteomics 1(11):845–867. https://doi.org/10.1074/mcp.R200007-MCP200

    Article  CAS  PubMed  Google Scholar 

  5. Cao Z, Tang HY, Wang H et al (2012) Systematic comparison of fractionation methods for in-depth analysis of plasma proteomes. J Proteome Res 11(6):3090–3100. https://doi.org/10.1021/pr201068b

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Faca V, Pitteri SJ, Newcomb L et al (2007) Contribution of protein fractionation to depth of analysis of the serum and plasma proteomes. J Proteome Res 6(9):3558–3565. https://doi.org/10.1021/pr070233q

    Article  CAS  PubMed  Google Scholar 

  7. Polaskova V, Kapur A, Khan A et al (2010) High-abundance protein depletion: comparison of methods for human plasma biomarker discovery. Electrophoresis 31(3):471–482. https://doi.org/10.1002/elps.200900286

    Article  CAS  PubMed  Google Scholar 

  8. Mathivanan S, Ji H, Simpson RJ (2010) Exosomes: extracellular organelles important in intercellular communication. J Proteome 73(10):1907–1920. https://doi.org/10.1016/j.jprot.2010.06.006

    Article  CAS  Google Scholar 

  9. Arbelaiz A, Azkargorta M, Krawczyk M et al (2017) Serum extracellular vesicles contain protein biomarkers for primary sclerosing cholangitis and cholangiocarcinoma. Hepatology 66(4):1125–1143. https://doi.org/10.1002/hep.29291

    Article  CAS  PubMed  Google Scholar 

  10. Boukouris S, Mathivanan S (2015) Exosomes in bodily fluids are a highly stable resource of disease biomarkers. Proteomics Clin Appl 9(3-4):358–367. https://doi.org/10.1002/prca.201400114

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Sodar BW, Kovacs A, Visnovitz T et al (2017) Best practice of identification and proteomic analysis of extracellular vesicles in human health and disease. Expert Rev Proteomics 14(12):1073–1090. https://doi.org/10.1080/14789450.2017.1392244

    Article  CAS  PubMed  Google Scholar 

  12. Lobb RJ, Becker M, Wen SW et al (2015) Optimized exosome isolation protocol for cell culture supernatant and human plasma. J Extracell Vesicles 4:27031. https://doi.org/10.3402/jev.v4.27031

    Article  PubMed  Google Scholar 

  13. Goulopoulou S, Davidge ST (2015) Molecular mechanisms of maternal vascular dysfunction in preeclampsia. Trends Mol Med 21(2):88–97. https://doi.org/10.1016/j.molmed.2014.11.009

    Article  CAS  PubMed  Google Scholar 

  14. Powe CE, Levine RJ, Karumanchi SA (2011) Preeclampsia, a disease of the maternal endothelium: the role of antiangiogenic factors and implications for later cardiovascular disease. Circulation 123(24):2856–2869. https://doi.org/10.1161/CIRCULATIONAHA.109.853127

    Article  PubMed  Google Scholar 

  15. Venkatesha S, Toporsian M, Lam C et al (2006) Soluble endoglin contributes to the pathogenesis of preeclampsia. Nat Med 12(6):642–649. https://doi.org/10.1038/nm1429

    Article  CAS  PubMed  Google Scholar 

  16. Maynard SE, Min JY, Merchan J et al (2003) Excess placental soluble fms-like tyrosine kinase 1 (sFlt1) may contribute to endothelial dysfunction, hypertension, and proteinuria in preeclampsia. J Clin Invest 111(5):649–658. https://doi.org/10.1172/JCI17189

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Kleinrouweler CE, Wiegerinck MM, Ris-Stalpers C et al (2012) Accuracy of circulating placental growth factor, vascular endothelial growth factor, soluble fms-like tyrosine kinase 1 and soluble endoglin in the prediction of pre-eclampsia: a systematic review and meta-analysis. BJOG 119(7):778–787. https://doi.org/10.1111/j.1471-0528.2012.03311.x

    Article  CAS  PubMed  Google Scholar 

  18. Aebersold R, Mann M (2016) Mass-spectrometric exploration of proteome structure and function. Nature 537(7620):347–355. https://doi.org/10.1038/nature19949

    Article  CAS  PubMed  Google Scholar 

  19. Lange V, Picotti P, Domon B et al (2008) Selected reaction monitoring for quantitative proteomics: a tutorial. Mol Syst Biol 4:222. https://doi.org/10.1038/msb.2008.61

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

CNB-CSIC lab is a member of Proteored, PRB2-ISCIII and is supported by grant PT13/0001, of the PE I + D + i 2013–2016, funded by ISCIII and FEDER. We thank the technical staff of the CNB-CSIC electron microscopy facility for advice and technical expertise.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alberto Paradela .

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

Navajas, R., Corrales, F.J., Paradela, A. (2019). Serum Exosome Isolation by Size-Exclusion Chromatography for the Discovery and Validation of Preeclampsia-Associated Biomarkers. In: Brun, V., Couté, Y. (eds) Proteomics for Biomarker Discovery. Methods in Molecular Biology, vol 1959. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-9164-8_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-9164-8_3

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-9163-1

  • Online ISBN: 978-1-4939-9164-8

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics