SILAC-based quantitative proteomic approach to identify potential biomarkers from the esophageal squamous cell carcinoma secretome
作者： Manoj Kumar Kashyap , HC Harsha , Santosh Renuse , Harsh Pawar , Nandini A Sahasrabuddhe
关键词: Proteomics 、 Proteome 、 Biology 、 Binding protein 、 Molecular biology 、 Secretory protein 、 Stable isotope labeling by amino acids in cell culture 、 Tissue microarray 、 Galactoside binding 、 PDIA3
摘要: The identification of secreted proteins that are differentially expressed between non-neoplastic and esophageal squamous cell carcinoma (ESCC) cells can provide potential biomarkers ESCC. We used a SILAC-based quantitative proteomic approach to compare the secretome ESCC with epithelial cells. Proteins were resolved by SDS-PAGE tandem mass spectrometry analysis (LC-MS/MS) in-gel trypsindigested peptides was carried out on high-accuracy qTOF spectrometer. In total, we identified 441 in combined secretomes, including 120 ≥ 2-fold upregulation vs. this study, several protein previously known be increased matrix metalloproteinase 1, transferrin receptor transforming growth factor beta-induced 68 kDa as overexpressed ESCC-derived secretome. addition, novel have not been reported associated Among candidate identified, disulfide isomerase family member 3 (PDIA3), GDP dissociation inhibitor 2 (GDI2) lectin galactoside binding soluble (LGALS3BP) further validated immunoblot immunohistochemical labeling using tissue microarrays. This microarray showed overexpression 3, 93, 93 87% 137 cases, respectively. Hence, conclude these excellent candidates for evaluation test their role efficacy early detection
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