Clinical Chemistry · 2006 · 102 citations · 24 references
Life SciencesBiochemistryMolecular BiologyClinical ImmunologyMass Spectrometric AnalysisProteomicsClinical ProteomicsEnzyme-linked Immunosorbent AssayMass Spectrometry-based ProteomicsPeptide AnalysisPeptide IdentificationProteolytic ProcessingAssayBiomarkersImmunological Protein DetectionMass Spectrometry-based Protein IdentificationPeptide Marker AnalysisPeptide-to-protein Mapping
BACKGROUND: Several proteolytically derived fragments from the proline-rich region (PRR) of human inter-alpha-trypsin inhibitor heavy chain 4 (ITIH4) have been identified by surface-enhanced or matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS or MALDI-TOF-MS) as potential disease markers. METHODS: Previously, we developed a SELDI-based immunoassay that can simultaneously distinguish and quantify multiple isoforms/variants of a protein/peptide of interest. In this study, we used this high-throughput approach to quantify and characterize the extensive fragmentation within the PRR of human serum ITIH4 and determined its association with different disease conditions. The ITIH4-related fragments were first immunocaptured by use of beads coupled with peptide-specific antibodies. The eluates were then studied by SELDI-TOF-MS. In addition, freshly collected and immediately processed serum and plasma samples were used to analyze the ex vivo stability of these ITIH4 fragments. RESULTS: Human serum ITIH4 was shown to be extensively proteolytically processed within the PRR, and its fragmentation patterns were closely associated with different disease conditions. Fragmentation patterns were generally consistent with cleavages by endoprotease followed by exoprotease actions. Observed fragments changed little under different assay conditions or blood collection and processing procedures. CONCLUSIONS: The fragmentation patterns within the PRR of human serum ITIH4 are associated with different disease conditions and may hold important diagnostic information. These fragmentation patterns could be useful as potential biomarkers for detection and classification of cancer.
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Zhen Zhang, Robert C. Bast, Yinhua Yu et al. · Cancer Research · 2004 · 949 citations · Full text
Medicine, Gynecology, Oncology +17
Neuropeptide degrading enzymes in normal and inflamed human synovium.
David A. Walsh, P.I. Mapp, John Wharton et al. · PubMed · 1993 · 219 citations