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Epstein-Barr virus (EBV) has been implicated in the development of nasopharyngeal carcinoma (NPC), a squamous cell carcinoma with high-occurrence in Southeast Asia and southern China. However, the underlying relationship of EBV and NPC squamous cell remains obscure. In this study, we employ a comparative iTRAQ-coupled 2D LC-MS/MS system to analyze the protein profile of NPC cell line upon EBV infection. Based on the proteome data and Western blot validation, 12 proteins were found to be significantly up-regulated and associated with signal transduction, cytoskeleton formation, metabolic pathways and DNA bindings. The interactions among NPC and EBV proteins were further analyzed and protein networks were established. Based on the functions of differentially expressed proteins, a metabolic pathway was proposed to elucidate their relationship in cytoskeleton formation, cell proliferation and apoptosis. Our results suggested a new proteome platform to analyze EBV's role in NPC squamous cell line. And these differentially expressed proteins may hold the promise as potential biomarkers for NPC diagnostics and treatment.
Pubmed ID: 21296196 RIS Download
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A database that focuses on experimentally verified protein-protein interactions mined from the scientific literature by expert curators. The curated data can be analyzed in the context of the high throughput data and viewed graphically with the MINT Viewer. This collection of molecular interaction databases can be used to search for, analyze and graphically display molecular interaction networks and pathways from a wide variety of species. MINT is comprised of separate database components. HomoMINT, is an inferred human protein interatction database. Domino, is database of domain peptide interactions. VirusMINT explores the interactions of viral proteins with human proteins. The MINT connect viewer allows you to enter a list of proteins (e.g. proteins in a pathway) to retrieve, display and download a network with all the interactions connecting them.
View all literature mentionsDatabase that represents a centralized platform to visually depict and integrate information pertaining to domain architecture, post-translational modifications, interaction networks and disease association for each protein in the human proteome. All the information in HPRD has been manually extracted from the literature by expert biologists who read, interpret and analyze the published data.
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