title: Bioorthogonal labeling cell-surface proteins expressed in pancreatic cancer cells to identify potential diagnostic/therapeutic biomarkers.
abstract: To develop new diagnostic and therapeutic tools to specifically target pancreatic tumors, it is necessary to identify cell-surface proteins that may serve as potential tumor-specific targets. In this study we used an azido-labeled bioorthogonal chemical reporter to metabolically label N-linked glycoproteins on the surface of pancreatic cancer cell lines to identify potential targets that may be exploited for detection and/or treatment of pancreatic cancer. Labeled glycoproteins were tagged with biotin using click chemistry, purified by streptavidin-coupled magnetic beads, separated by gel electrophoresis, and identified by liquid chromatography-tandem mass spectrometry (MS). MS/MS analysis of peptides from 3 cell lines revealed 954 unique proteins enriched in the azido sugar samples relative to control sugar samples. A comparison of the proteins identified in each sample indicated 20% of these proteins were present in 2 cell lines (193 of 954) and 17 of the proteins were found in all 3 cell lines. Five of the 17 proteins identified in all 3 cell lines have not been previously reported to be expressed in pancreatic cancer; thus indicating that novel cell-surface proteins can be revealed through glycoprotein profiling. Western analysis of one of these glycoproteins, ecto-5'-nucleotidase (NT5E), revealed it is expressed in 8 out of 8 pancreatic cancer cell lines examined. Further, immunohistochemical analysis of human pancreatic tissues indicates NT5E is significantly overexpressed in pancreatic tumors compared to normal pancreas. Thus, we have demonstrated that metabolic labeling with bioorthogonal chemical reporters can be used to selectively enrich and identify novel cell-surface glycoproteins expressed in pancreatic ductal adenocarcinomas.
authors.affiliation: a Central Arkansas Veterans Healthcare System; Little Rock , AR USA.|b Department of Pharmaceutical Sciences ; University of Arkansas for Medical Sciences; Little Rock , AR USA.
authors.forename: Randy S
authors.initials: RS
authors.lastname: Haun
authors.affiliation: c Department of Pathology; University of Arkansas for Medical Sciences; Little Rock , AR USA.
authors.forename: Charles M
authors.initials: CM
authors.lastname: Quick
authors.affiliation: d Department of Biostatistics; University of Arkansas for Medical Sciences; Little Rock , AR USA.
authors.forename: Eric R
authors.initials: ER
authors.lastname: Siegel
authors.affiliation: b Department of Pharmaceutical Sciences ; University of Arkansas for Medical Sciences; Little Rock , AR USA.
authors.forename: Ilangovan
authors.initials: I
authors.lastname: Raju
authors.affiliation: e Department of Biochemistry & Molecular Biology; University of Arkansas for Medical Sciences; Little Rock , AR USA.
authors.forename: Samuel G
authors.initials: SG
authors.lastname: Mackintosh
authors.affiliation: e Department of Biochemistry & Molecular Biology; University of Arkansas for Medical Sciences; Little Rock , AR USA.
authors.forename: Alan J
authors.initials: AJ
authors.lastname: Tackett
mesh_terms: D014408:Biomarkers, Tumor / Q000378:metabolism; D006801:Humans; D008565:Membrane Proteins / Q000378:metabolism*; D010190:Pancreatic Neoplasms / Q000276:immunology* / Q000473:pathology
chemical_list: D014408:Biomarkers, Tumor; D008565:Membrane Proteins
keywords: biomarkers; bioorthogonal labeling; cell-surface proteins; click chemistry; glycoproteins; pancreatic cancer; proteomic profiling