Skip to main content

Identification of Disease Biomarkers by Profiling of Serum Proteins Using SELDI-TOF Mass Spectrometry

  • Protocol

Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 439))

Abstract

Proteins are the main actors in all physiological and pathological processes. Since the final structure of the protein does not depend on the DNA sequence or even the mRNA sequence alone, the search for direct approaches on the proteome has gained great interest. The most complex and probably the largest proteome is serum, making it clinically the most important.

ProteinChip technology, in combination with modern mass spectrometry, allows the complex search for biomarkers, molecular interactions, signaling pathways, and the identification of novel therapeutic compounds. Here we describe the surface-enhanced laser desorption-ionization (SELDI) in combination with the time-of-flight (TOF) mass spectrometry for analyzing serum samples (SELDI was a patented technique from Ciphergen, Fremont, CA). Aluminum-based arrays contain chemical or biological surfaces allowing the capture of proteins, which interact with the surface. The bound proteins are laser desorbed and ionized for mass spectroscopy analysis. The differential mass spectral patterns reflect the protein expression bound on the chip surface and allow the comparison between various samples. Proteins of interest can be identified using peptide mass fingerprinting (PME).

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   159.99
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. 1. Seet BT, Dikic I, Zho, MM, Pawson T (2006) Reading protein modifications with interaction domains. Nat Rev Mol Cell Biol 7:473–483

    Article  CAS  PubMed  Google Scholar 

  2. 2. Hanahan D, Weinberg RA (2000) The hallmarks of cancer. CeU 100:57–70

    Article  CAS  PubMed  Google Scholar 

  3. 3. Gretzer MB, Partin AW, Chan DW, Veltri RW (2003) Modem tumor marker discovery in urology: Surface enhanced laser desorption and ionization (SELDI). Rev Urol 5:81–89

    PubMed  Google Scholar 

  4. 4. Ciordia S, de Los Rios V, Albar JP (2006) Contributions of advanced proteomics technologies to cancer diagnosis. Clin Transl Oncol 8:566–580

    Article  CAS  PubMed  Google Scholar 

  5. Wiesner A (2004) Detection of tumor markers with ProteinChip technology Curr Pharm Biotechnol 5:45–67

    Google Scholar 

  6. 6. Xiao Z, Prieto D, Conrads TP, Veenstra TD, Issaq HJ (2005) Proteomic patterns: Their potential for disease diagnosis, Mol Cell Endocrinol 230:95–106

    Article  CAS  PubMed  Google Scholar 

  7. 7. Zhang H, Kong B, Qu X, Jia L, Deng B, Yang Q (2006) Biomarker discovery for ovarian cancer using SELDI-TOF-MS. Gynecol Oncol 102:61–66

    Article  CAS  PubMed  Google Scholar 

  8. 8. Pusztai L, Gregory BW, Baggerly KA, Peng B, Koomen J, Kuerer HM, Esteva FJ, Symmans WF, Wagner P, Hortobagyi GN, Laronga C, Semmes OJ, Wright G L Jr, Drake RR, Vlahou A (2004) Pharmacoproteomic analysis of prechemotherapy and postchemotherapy plasma samples from patients receiving neoadjuvant or adjuvant chemotherapy for breast carcinoma. Cancer 100:1814–1822

    Article  CAS  PubMed  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  10. Yip TT, Lomas L (2002) SELDI ProteinChip array in oncoproteomic research Technol Cancer Res Treat 1:273–280

    Google Scholar 

  11. 11. Petricoin EF, Ardekani AM, Hitt BA, Levine PJ, Fusaro VA, Steinberg SM, Mills GB, Simone C, Fishman DA, Kohn EC, Liotta LA (2002) Use of proteomic patterns in serum to identify ovarian cancer. Lancet 359:572–577

    Article  CAS  PubMed  Google Scholar 

  12. 12. Ostergaard M, Rasmussen HH, Nielsen HV, Vorum H, Orntoft TF, Wolf H, Celis JE (1997) Proteome profiling of bladder squamous cell carcinomas: Identification of markers that define their degree of differentiation. Cancer Res 57:4111–4117

    CAS  PubMed  Google Scholar 

  13. 13. Anderson NL, Anderson NG (2002) The human plasma proteome: History, character, and diagnostic prospects. Mol Cell Proteomics 1:845–867

    Article  CAS  PubMed  Google Scholar 

  14. 14. Anderson NL, Polanski M, Pieper R, Gatlin T, Tirumalai RS, Conrads TP, Veenstra TD, Adkins JN, Pounds JG, Fagan R, Lobley A (2004) The human plasma proteome: A nonredundant list developed by combination of four separate source. Mol Cell Proteomics 3:311–326

    Article  CAS  PubMed  Google Scholar 

  15. 15. Issaq HJ, Conrads TP, Prieto DA, Tirumalai R, Veenstra TD (2003) SELDI-TOF MS for diagnostic proteomics. Anal Chem 75:148A–155A

    Article  CAS  Google Scholar 

  16. 16. Chapman K (2002) The ProteinChip Biomarker System from Ciphergen Biosystems: A novel proteomics platform for rapid biomarker discovery and validation. Biochem Soc Trans 30:82–87

    Article  CAS  PubMed  Google Scholar 

  17. 17. Langbein S, Lehmann J, Harder A, Steidler A, Michel MS, Alken P, Badawi JK (2006) Protein profiling of bladder cancer using the 2D-PAGE and SELDI-TOF-MS technique. Technol Cancer Res Treat 5:67–72

    CAS  PubMed  Google Scholar 

  18. 18. Melle C, Ernst G, Schimmel B, Bleul A, Koscielny S, Wiesner A, Bogumil R, Moller U, Osterloh D, Halbhuber KJ, von Eggeling F. (2004) A technical triade for proteomic identification and characterization of cancer biomarkers. Cancer Res 64:4099–4104

    Article  CAS  PubMed  Google Scholar 

  19. 19. Pusch W, Flocco MT, Leung SM, Thiele H, Kostrzewa M (2003) Mass spectrometry-based clinical proteomics. Pharmacogenomics 4:463–476

    Article  CAS  PubMed  Google Scholar 

  20. 20. Fung FT, Weinberger SR, Gavin E, Zhang F (2005) Bioinformatics approaches in clinical proteomics. Expert Rev Proteomics 2:847–862

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

I thank Dr. R. Bogumil for his helpful advice and constructive criticism.

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Humana Press, a part of Springer Science+Business Media, LLC

About this protocol

Cite this protocol

Langbein, S. (2008). Identification of Disease Biomarkers by Profiling of Serum Proteins Using SELDI-TOF Mass Spectrometry. In: Starkey, M., Elaswarapu, R. (eds) Genomics Protocols. Methods in Molecular Biology™, vol 439. Humana Press. https://doi.org/10.1007/978-1-59745-188-8_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-59745-188-8_13

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-58829-871-3

  • Online ISBN: 978-1-59745-188-8

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics