Skip to main content

Microspot Immunoassay-Based Analysis of Plasma Protein Profiles for Biomarker Discovery Strategies

  • Protocol
  • First Online:

Part of the book series: Methods in Molecular Biology ((MIMB,volume 785))

Abstract

To expedite the development of personalized medicine, new and reliable biomarkers are required to facilitate early diagnosis, to determine prognosis, predict response or resistance to different therapies, and to monitor disease progression or recurrence. Human body fluids, such as blood, present a promising resource for biomarker discovery, in every sense. Microspot immunoassays allow the simultaneous quantification of multiple analytes from a minute amount of samples in a single measurement. The experimental design of microspot immunoassays is based on antibody pairs recognizing different epitopes of the analyte. The first antibody is used to capture the analyte from the complex sample, and the second antibody is used for detection. As with traditional enzyme-linked immunosorbent assays, highly reliable and reproducible results are obtained.

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. Biomarkers Definitions Working Group (2001) Biomarkers and surrogate endpoints: preferred definitions and conceptual framework, Clin Pharmacol Ther 69, 89–95.

    Article  Google Scholar 

  2. American Diabetes Association (2010) Diagnosis and classification of diabetes mellitus, Diabetes Care 33 Suppl 1, S62-69.

    Google Scholar 

  3. Donegan, W. L. (1992) Prognostic factors. Stage and receptor status in breast cancer, Cancer 70, 1755–1764.

    Google Scholar 

  4. Donnelly, J. G. (2004) Pharmacogenetics in cancer chemotherapy: balancing toxicity and response, Ther Drug Monit 26, 231–235.

    Article  PubMed  CAS  Google Scholar 

  5. Dunn, L., and Demichele, A. (2009) Genomic predictors of outcome and treatment response in breast cancer, Mol Diagn Ther 13, 73–90.

    PubMed  CAS  Google Scholar 

  6. Duffy, M. J., and Crown, J. (2008) A personalized approach to cancer treatment: how biomarkers can help, Clin Chem 54, 1770–1779.

    Article  PubMed  CAS  Google Scholar 

  7. Goldhirsch, A., Ingle, J. N., Gelber, R. D., Coates, A. S., Thurlimann, B., and Senn, H. J. (2009) Thresholds for therapies: highlights of the St Gallen International Expert Consensus on the primary therapy of early breast cancer 2009, Ann Oncol 20, 1319–1329.

    Article  PubMed  CAS  Google Scholar 

  8. Lilja, H., Ulmert, D., and Vickers, A. J. (2008) Prostate-specific antigen and prostate cancer: prediction, detection and monitoring, Nat Rev Cancer 8, 268–278.

    Article  PubMed  CAS  Google Scholar 

  9. Molina, R., Barak, V., van Dalen, A., Duffy, M. J., Einarsson, R., Gion, M., Goike, H., Lamerz, R., Nap, M., Soletormos, G., and Stieber, P. (2005) Tumor markers in breast cancer- European Group on Tumor Markers recommendations, Tumour Biol 26, 281–293.

    Article  PubMed  Google Scholar 

  10. Hanash, S. M., Pitteri, S. J., and Faca, V. M. (2008) Mining the plasma proteome for cancer biomarkers, Nature 452, 571–579.

    Article  PubMed  CAS  Google Scholar 

  11. Rai, A. J. (2007) Biomarkers in translational research: focus on discovery, development and translation of protein biomarkers to clinical immunoassays, Expert Rev Mol Diagn 7, 545–553.

    Article  PubMed  CAS  Google Scholar 

  12. Jöcker, A., Sonntag, J., Henjes, F., Gotschel, F., Tresch, A., Beissbarth, T., Wiemann, S., and Korf, U. (2010) QuantProReloaded: quantitative analysis of microspot immunoassays, Bioinformatics 26, 2480–2481.

    Article  PubMed  Google Scholar 

  13. Sweep, F. C. G. J., Thomas, C. M. G., and Schmitt, M. (2006) Analytical aspects of biomarker immunoassays in cancer research, in Biomarkers in breast cancer: Molecular diagnostics for predicting and monitoring therapeutic effect (Gasparini, G., and Hayes, D. F., Eds.), pp 17–30, Humana Press.

    Google Scholar 

  14. Gonzalez, R. M., Seurynck-Servoss, S. L., Crowley, S. A., Brown, M., Omenn, G. S., Hayes, D. F., and Zangar, R. C. (2008) Development and validation of sandwich ELISA microarrays with minimal assay interference, J Proteome Res 7, 2406–2414.

    Article  PubMed  CAS  Google Scholar 

  15. Jelkmann, W. (2001) Pitfalls in the measurement of circulating vascular endothelial growth factor, Clin Chem 47, 617–623.

    PubMed  CAS  Google Scholar 

  16. Rai, A. J., Gelfand, C. A., Haywood, B. C., Warunek, D. J., Yi, J., Schuchard, M. D., Mehigh, R. J., Cockrill, S. L., Scott, G. B., Tammen, H., Schulz-Knappe, P., Speicher, D. W., Vitzthum, F., Haab, B. B., Siest, G., and Chan, D. W. (2005) HUPO Plasma Proteome Project specimen collection and handling: towards the standardization of parameters for plasma proteome samples, Proteomics 5, 3262–3277.

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

This work was supported by the German Federal Ministry for Education and Science in the framework of the Program for Medical Genome Research (grants 01GS0890 and 01GS0864), the Program for Medical Systems Biology (grant 0315396B), as well as the Helmholtz Systems Biology Initiative (SBCancer). Thanks go also to Liz Segal for her help with proofreading.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ulrike Korf .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this protocol

Cite this protocol

Sonntag, J., Mannsperger, H., Jöcker, A., Korf, U. (2011). Microspot Immunoassay-Based Analysis of Plasma Protein Profiles for Biomarker Discovery Strategies. In: Korf, U. (eds) Protein Microarrays. Methods in Molecular Biology, vol 785. Humana Press. https://doi.org/10.1007/978-1-61779-286-1_16

Download citation

  • DOI: https://doi.org/10.1007/978-1-61779-286-1_16

  • Published:

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-61779-285-4

  • Online ISBN: 978-1-61779-286-1

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics