Skip to main content

Purification and Identification of Candidate Biomarkers Discovered Using SELDI-TOF MS

  • Protocol
  • First Online:
SELDI-TOF Mass Spectrometry

Part of the book series: Methods in Molecular Biology ((MIMB,volume 818))

Abstract

Purification and identification of candidate biomarkers is a critical step in the biomarker development process, since it provides insight into the disease biology and facilitates the development of analyte-specific assays. Top-down biomarker discovery workflows like SELDI-TOF MS yield candidate markers that are identified based on native mass. Positive identification of these candidate biomarkers requires further enrichment and/or purification. While purification methods must be optimized for each protein target, there are two general workflows. Native peptides under approximately 4 kDa can be subjected to direct sequence analysis using a tandem mass spectrometer whereas proteins over approximately 4 kDa usually require proteolytic digestion prior to MS/MS analysis. In both cases, partial purification is usually necessary to enrich the candidate biomarker relative to other proteins in a complex biological mixture. This chapter provides detailed protocols for protein purification (including anion exchange, metal affinity, and reverse phase chromatography as well as SDS-PAGE) and identification (including protein processing, digestion, and database searching).

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.00
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

Institutional subscriptions

References

  1. Peng, J., Stanley, A.J., Cairns, D., Selby, P.J., Banks, R.E.(2009) Using the protein chip interface with quadrupole time-of-flight mass spectrometry to directly identify peaks in SELDI profiles – initial evaluation using low molecular weight serum peaks. Proteomics 9, 492–498.

    Article  PubMed  CAS  Google Scholar 

  2. Miguet, L., Bogumil, R., Decloquement, P., Herbrecht, R., Potier, N., Mauvieux, L., Van Dorsselaer, A. (2006) Discovery and identification of potential biomarkers in a prospective study of chronic lymphoid malignancies using SELDI-TOF-MS. J Proteome Res 5, 2258–2269.

    Article  PubMed  CAS  Google Scholar 

  3. Brown, A.G., Leite, R.S., Engler, A.J., Discher, D.E., Strauss, J.F. (2006) A hemoglobin fragment found in cervicovaginal fluid from women in labor potentiates the action of agents that promote contraction of smooth muscle cells. Peptides 27, 1794–1800.

    Article  PubMed  CAS  Google Scholar 

  4. Simonsen, A.H., McGuire, J, Podust, V.N., Davies, H., Minthon, L., Skoog, I., Andreasen, N., Wallin, A., Waldemar, G., Blennow, K. (2008) Identification of a novel panel of cerebrospinal fluid biomarkers for Alzheimer’s disease. Neurobiol Aging. 29, 961–968.

    Article  PubMed  CAS  Google Scholar 

  5. Ye, B., Skates, S., Mok, S.C., Horick, N.K., Rosenberg, H.F., Vitonis, A., Edwards, D., Sluss, P., Han, W.K., Berkowitz, R.S., Cramer, D.W. (2006) Proteomic-based discovery and characterization of glycosylated eosinophil-derived neurotoxin and COOH-terminal osteopontin fragments for ovarian cancer in urine. Clin Cancer Res 12, 432–441.

    Article  PubMed  CAS  Google Scholar 

  6. Cho, WC., Yip, T.T., Yip, C., Yip, V., Thulasiraman, V., Ngan, R.K., Yip, T.T., Lau, W.H., Au, J.S., Law, S.C., Cheng, W.W., Ma, V.W., Lim, C.K. (2004) Identification of serum amyloid A protein as a potentially useful biomarker to monitor relapse of nasopharyngeal cancer by serum proteomic profiling. Clin Cancer Res 10, 43–52.

    Article  PubMed  CAS  Google Scholar 

  7. Zhang, Z., Bast, R.C. Jr., Yu, Y., Li, J., Sokoll, L.J., Rai, A.J., Rosenzweig, J.M., Cameron, B., Wang, Y.Y., Meng, X.Y., Berchuck, A., Van Haaften-Day, C., Hacker, N.F., de Bruijn, H.W., van der Zee, A.G., Jacobs, I.J., Fung, E.T., Chan, D.W.(2004) Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer. Cancer Res 64, 5882–5890.

    Article  PubMed  CAS  Google Scholar 

  8. Vermeulen, R., Lan, Q., Zhang, L., Gunn, L., McCarthy, D., Woodbury, R.L., McGuire, M., Podust, V.N., Li, G., Chatterjee, N., Mu, R., Yin, S., Rothman, N., Smith, M.T.(2005) Decreased levels of CXC-chemokines in serum of benzene-exposed workers identified by array-based proteomics. Proc Natl Acad Sci 102, 17041–17046.

    Article  PubMed  CAS  Google Scholar 

  9. Huang, J.T., Leweke, F.M., Oxley, D., Wang, L., Harris, N., Koethe, D., Gerth, C.W., Nolden, B.M., Gross, S., Schreiber, D., Reed, B., Bahn, S. (2006) Disease biomarkers in cerebrospinal fluid of patients with first-onset psychosis, PLoS Med 3, 2145–2158.

    Article  CAS  Google Scholar 

  10. Melle, C., Bogumil, R., Ernst, G., Schimmel, B., Bleul, A., von Eggeling, F. (2006) Detection and identification of heat shock protein 10 as a biomarker in colorectal cancer by protein profiling. Proteomics 6, 2600–2608.

    Article  PubMed  CAS  Google Scholar 

  11. Nguyen, M.T., Dent, C.L., Ross, G.F., Harris, N., Manning, P.B., Mitsnefes, M.M., Devarajan, P.(2008) Urinary aprotinin as a predictor of acute kidney injury after cardiac surgery in children receiving aprotinin therapy. Pediatr Nephrol 23, 1317–1326.

    Article  PubMed  Google Scholar 

  12. Currid, C.A., O’Connor, D.P., Chang, B.D., Gebus, C., Harris, N., Dawson, K.A., Dunn, M.J., Pennington, S.R., Roninson, I.B., Gallagher, W.M. (2006) Proteomic analysis of factors released from p21-overexpressing tumour cells. Proteomics 6, 3739–3753.

    Article  PubMed  CAS  Google Scholar 

  13. Guerrier, L., Righetti, P.G., Boschetti, E. (2008) Reduction of dynamic protein concentration range of biological extracts for the discovery of low-abundance proteins by means of hexapeptide ligand library. Nat Protoc 3, 883–890.

    Article  PubMed  CAS  Google Scholar 

  14. Sihlbom, C., Kanmert, I., Bahr, H., Davidsson, P. (2008) Evaluation of the combination of bead technology with SELDI-TOF-MS and 2-D DIGE for detection of plasma proteins. J Proteome Res 7, 4191–4198.

    Article  PubMed  CAS  Google Scholar 

  15. Boschetti, E., Righetti, P.G. (2008) The ProteoMiner in the proteomic arena: a non-depleting tool for discovering low-abundance species. J Proteomics 71, 255–64.

    Article  PubMed  CAS  Google Scholar 

  16. Sennels, L., Salek, M., Lomas, L., Boschetti, E., Righetti, P.G., Rappsilber, J. (2007) Proteomic analysis of human blood serum using peptide library beads. J Proteome Res 6, 4055–4062.

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Amanda L. Bulman .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media, LLC

About this protocol

Cite this protocol

Bulman, A.L., Dalmasso, E.A. (2012). Purification and Identification of Candidate Biomarkers Discovered Using SELDI-TOF MS. In: Clarke, C., McCarthy, D. (eds) SELDI-TOF Mass Spectrometry. Methods in Molecular Biology, vol 818. Springer, New York, NY. https://doi.org/10.1007/978-1-61779-418-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-1-61779-418-6_4

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-61779-417-9

  • Online ISBN: 978-1-61779-418-6

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics