18O labeling for a quantitative proteomic analysis of glycoproteins in hepatocellular carcinoma

Raghothama Chaerkady, Paul J. Thuluvath, Min Sik Kim, Anuradha Nalli, Perumal Vivekanandan, Jessica Simmers, Michael Torbenson, Akhilesh Pandey

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


Introduction: Quantitative proteomics using tandem mass spectrometry is an attractive approach for identification of potential cancer biomarkers. Fractionation of complex tissue samples into subproteomes prior to mass spectrometric analyses increases the likelihood of identifying cancer-specific proteins that might be present in low abundance. In this regard, glycosylated proteins are an interesting class of proteins that are already established as biomarkers for several cancers. Materials and Methods: In this study, we carried out proteomic profiling of tumor and adjacent non-cancer liver tissues from hepatocellular carcinoma (HCC) patients. Glycoprotein enrichment from liver samples using lectin affinity chromatography and subsequent 18O/ 16O labeling of peptides allowed us to obtain relative abundance levels of lectin-bound proteins. As a complementary approach, we also examined the relative expression of proteins in HCC without glycoprotein enrichment. Lectin affinity enrichment was found to be advantageous to quantitate several interesting proteins, which were not detected in the whole proteome screening approach. We identified and quantitated over 200 proteins from the lectin-based approach. Interesting among these were fetuin, cysteine-rich protein 1, serpin peptidase inhibitor, leucine-rich alpha-2-glycoprotein 1, melanoma cell adhesion molecule, and heparan sulfate proteoglycan-2. Using lectin affinity followed by PNGase F digestion coupled to 18O labeling, we identified 34 glycosylation sites with consensus sequence N-X-T/S. Western blotting and immunohistochemical staining were carried out for several proteins to confirm mass spectrometry results. Conclusion: This study indicates that quantitative proteomic profiling of tumor tissue versus non-cancerous tissue is a promising approach for the identification of potential biomarkers for HCC.

Original languageEnglish (US)
Pages (from-to)137-155
Number of pages19
JournalClinical Proteomics
Issue number3-4
StatePublished - Dec 2008


  • Hepatocellular carcinoma
  • Lectin affinity enrichment
  • Mass spectrometry
  • Quantitative proteomics

ASJC Scopus subject areas

  • Molecular Medicine
  • Molecular Biology
  • Clinical Biochemistry


Dive into the research topics of '18O labeling for a quantitative proteomic analysis of glycoproteins in hepatocellular carcinoma'. Together they form a unique fingerprint.

Cite this