Skip to main content
SpringerLink
Log in

A path or a new road in laboratory diagnostics? Biological mass spectrometry: Facts and perspectives

  • Methods
  • Published:
Pathology & Oncology Research

Abstract

Proteins in tissues and biofluids and their many attributes define the proteome. Proteome can be directly correlated to known diseases and histological regions allowing the diagnosis and monitoring of disease progression as well predicting the patient’s response to specific treatments. Proteomics performs large-scale, high-throughput characterization of the human proteome, among others by biological mass spectrometry. Proteinchip technology coupled with bioinformatics is able to screen any protein source for putative disease biomarkers from a small sample volume (microliter range) by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). This article discusses on a basic level both the technology and reliability of these methods.(Pathology Oncology Research Vol 12, No 3, 179–183)

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Anderson NG, Matheson A, Anderson NL: Back to the future: the human protein index (HPI) and the agenda for post-proteomic biology. Proteomics 1:3–12, 2001.

    Article  PubMed  CAS  Google Scholar 

  2. Apweiler R, Bairoch A, Wu CH, et al: UniProt: the universal protein knowledgebase. Nucleic Acid Res 32:D115-D119, 2004.

    Article  PubMed  CAS  Google Scholar 

  3. Bonner RF, Emmert-Buck M, Cole K, et al: Laser capture microdissection: molecular analysis of tissue. Science 278:1481–1483, 1997.

    Article  PubMed  CAS  Google Scholar 

  4. Caprioli RM, Farmer TB, Gile J: Molecular imaging of biological samples: localization of peptides and proteins using MALDI-TOF MS. Anal Chem 69:4751–4760, 1997.

    Article  PubMed  CAS  Google Scholar 

  5. Chaurand P, Schwartz SA, Reyzer ML, et al: Imaging mass spectrometry: principles and potentials. Toxicol Pathol 33:92–101, 2005.

    Article  PubMed  CAS  Google Scholar 

  6. Chaurand P, Sanders ME, Jensen RA, et al: Proteomics in diagnostic pathology. Profiling and imaging proteins directly in tissue sections. Am J Pathol 165:1057–1068, 2004.

    PubMed  CAS  Google Scholar 

  7. Chaurand P, Schwartz SA, Bilheimer D, et al: Integrating histology and imaging mass spectroscopy. Anal Chem 76:1145–1155, 2004.

    Article  PubMed  CAS  Google Scholar 

  8. Chaurand P, Schwartz SA, Caprioli RM: Profiling and imaging proteins in tissue sections by mass spectrometry. Anal Chem 76:86A-94A, 2004.

    Article  CAS  Google Scholar 

  9. Chaurand P, Stoeckli M, Caprioli LM: Direct profiling of proteins in biological tissue sections by MALDI mass spectrometry. Anal Chem 71:5263–5270, 1999.

    Article  PubMed  CAS  Google Scholar 

  10. Conrads TP, Fusaro VA, Ross S, et al: High-resolution serum proteomic features for ovarian cancer detection. Endocrine-Related Cancer 11:163–178, 2004.

    Article  PubMed  CAS  Google Scholar 

  11. Diamandis EP: Proteomic patterns in biological fluids: do they represent the future of cancer diagnosis? Clin Chem 49:1272–1275, 2003.

    Article  PubMed  CAS  Google Scholar 

  12. Finkelnburg W: Einführung in die Atomphysik. 9 und 10-te Auflage, Springer, Berlin-Göttingen-Heidelberg, 1964, pp 34–43, 48.

    Google Scholar 

  13. Garden RW, Sweedler JV: Heterogeneity within MALDI samples as revealed by mass spectrometric imaging. Anal Chem 72:30–36, 2000.

    Article  PubMed  CAS  Google Scholar 

  14. Issaq J, Conrads TP, Prieto DA, et al: SELDI TOF MS for diagnostic proteomics. Anal Chem 75:148A-155A, 2003.

    Article  PubMed  CAS  Google Scholar 

  15. Karas M, Hillenkamp F: Laser desorption ionization of proteins with molecular masses exceeding 10,000 daltons. Anal Chem 60:2299–2301, 1988.

    Article  PubMed  CAS  Google Scholar 

  16. Lage H: Proteomics in cancer cell research: an analysis of therapy resistance. Pathol Res Pract 200:105–117, 2004.

    Article  PubMed  CAS  Google Scholar 

  17. Lander ES, Linton LM, Birren B, et al: Initial sequencing and analysis of the human genome. Nature 409:860–921, 2001.

    Article  PubMed  CAS  Google Scholar 

  18. Melle C, Kaufmann R, Hommann M, et al: Proteomic profiling in microdissected hepatocellular carcinoma using protein chip® technology. Int J Oncol 24:885–891, 2004.

    PubMed  CAS  Google Scholar 

  19. Palmer-Toy DE, Sarracino DA, Sgroi D, et al: Direct acquisition of matrix-assisted laser desorption/ionization time-of-flight mass spectra from laser captured microdissected tissues. Clin Chem 46:1513–1516, 2000.

    PubMed  CAS  Google Scholar 

  20. Pandey A, Mann M: Proteomics to study genes and genomes. Nature 405:837–846, 2000.

    Article  PubMed  CAS  Google Scholar 

  21. Petricoin EF, Ardekani AM, Hitt BA, et al: Use of proteomic patterns in serum to identify ovarian cancer. Lancet 359:572–577, 2002.

    Article  PubMed  CAS  Google Scholar 

  22. Petricoin EF, Liotta LA: SELDI-TOF-based serum proteomic pattern diagnostics for early detection of cancer. Curr Opin Biotechnol 15:24–30, 2004.

    Article  PubMed  CAS  Google Scholar 

  23. Petricoin E 3rd,Liotta LA: The vision for a new diagnostic paradigm. Clin Chem 49:1276–1278, 2003.

    Article  PubMed  CAS  Google Scholar 

  24. Pieper R, Gatlin CL, Makusky AJ, et al: The human serum proteome: display of nearly 3700 chromatographically separated protein spots on two dimensional electrophoresis gels and identification of 325 distinct proteins. Proteomics 3:1345–1364, 2003.

    Article  PubMed  CAS  Google Scholar 

  25. Rogers MA, Clarke P, Noble J, et al: Proteomic profiling of urinary proteins in renal cancer by surface enhanced laser desorption ionization and neural network analysis: identification of key issues affecting potential clinical utility. Cancer Res 63:6971–6983, 2003.

    PubMed  CAS  Google Scholar 

  26. Rosty C, Christa L, Kuzdzal S, et al: Identification of hepatocarcinoma-intestine-pancreas/pancreatitis associated protein I as a biomarker for pancreatic ductal adenocarcinoma by protein biochip technology. Cancer Res 62:1868–1875, 2002.

    PubMed  CAS  Google Scholar 

  27. Röcken C, Ebert MPA, Roessner A: Proteomics in pathology, research and practice. Pathol Res Pract 200:69–82, 2004.

    Article  PubMed  CAS  Google Scholar 

  28. Reymond MA, Steinert R, Kähne T, et al: Expression and functional proteomics in colorectal cancer. Pathol Res Pract 200:119–127, 2004.

    Article  PubMed  CAS  Google Scholar 

  29. Seibert V, Wiesner A, Buschman T, et al: Surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI TOF-MS) and ProteinChip® technology in proteomic research. Pathol Res Pract 200:83–94, 2004.

    Article  PubMed  CAS  Google Scholar 

  30. Sheng Y, Jacobs JM, Comp DG, et al: Ultra-high-efficiency strong cation exchange LC/RPLC/MS/MS for high dynamic range characterization of the human plasma proteome. Anal Chem 76:1134–1144, 2004.

    Article  CAS  Google Scholar 

  31. Yanagisawa K, Shyr Y, Xu BJ, et al: Proteomic patterns of tumour subsets in non-small-cell lung cancer. Lancet 362:433–439, 2003.

    Article  PubMed  CAS  Google Scholar 

  32. Venter JC, Adams MD, Meyers EW, et al: The sequence of the human genome. Science 291:1304–1351, 2001.

    Article  PubMed  CAS  Google Scholar 

  33. Villenueva I, Philip I, Entenberg D, et al: Serum peptide profiling by magnetic particle assisted, automated sample processing and MALDI TOF mass spectrometry. Anal Chem 76:1560–1570, 2004.

    Article  CAS  Google Scholar 

  34. Wetmore BA, Merrick BA: Toxicoproteomics: proteomics applied to toxicology and pathology. Toxicol Pathol 32:619–642, 2004.

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. 1st Institute of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, H-1085, Budapest, Hungary

    Károly Lapis

  2. Department of Pathology at Kútvölgyi Clinical Center, Semmelweis University, Budapest, Hungary

    Gábor Elek

Authors
  1. Gábor Elek
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Károly Lapis
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Károly Lapis.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Elek, G., Lapis, K. A path or a new road in laboratory diagnostics? Biological mass spectrometry: Facts and perspectives. Pathol. Oncol. Res. 12, 179–183 (2006). https://doi.org/10.1007/BF02893366

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02893366

Key words

Search

Navigation