title: Employing TMT quantification in a shotgun-MS platform.
abstract: The blood serum proteome may be an ideal source of disease biomarkers, although its complexity necessitates novel strategies to enrich and quantify lower-abundance proteins with biomarker utility. Herein, serum samples from pre-diagnosis pancreatic cancer cases and controls were compared using a workflow of immunodepletion, multi-lectin fractionation, and peptide tandem mass tag (TMT) labeling. Samples were then subjected to SCX and high pH reversed-phase fractionation and analyzed by liquid chromatography tandem mass spectrometry (LC-MS/MS). The aim was the discovery of candidate serum biomarkers of pancreatic cancer, although the method is applicable to any comparative proteomic analysis of serum samples.
authors.affiliation: Cancer Proteomics Laboratory, EGA Institute for Women's Health, University College London, Room 1.1.09, Gower Street, London, WC1E 6BT, UK.
authors.forename: Darragh P
authors.initials: DP
authors.lastname: O'Brien
authors.forename: John F
authors.initials: JF
authors.lastname: Timms
mesh_terms: D014408:Biomarkers, Tumor / Q000097:blood; D001798:Blood Proteins / Q000737:chemistry / Q000302:isolation & purification; D002853:Chromatography, Liquid / Q000379:methods; D006801:Humans; D010190:Pancreatic Neoplasms / Q000097:blood / Q000175:diagnosis; D053719:Tandem Mass Spectrometry / Q000379:methods*
chemical_list: D014408:Biomarkers, Tumor; D001798:Blood Proteins