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Full-Text Articles in Molecular Biology
New Strategies To Reveal Protein Candidates In Protein-Protein Interactome Study, Meng-Chieh Chen
New Strategies To Reveal Protein Candidates In Protein-Protein Interactome Study, Meng-Chieh Chen
Open Access Theses
Comprehensive protein-protein interaction network analysis can help reveal protein functions in a system-wide manner. A reliable knowledgebase of interaction networks is not only important for selecting the candidates for drug therapies, but also for evaluating the disease risk. In current interaction databases, 322579 interactions comprised of 56460 proteins have been reported (statistical analysis from APID: Agile Protein Interaction DataAnalyzer; http://bioinfow.dep.usal.es/apid/index.htm). The huge datasets are contributed mainly by yeast -two -hybrid (Y2H) screening and affinity-purification followed by mass spectrometry (AP-MS). High false positive rates and failing to cover certain interaction categories are the limitations of these two methods. Here, we developed …
1,25-Dihydroxyvitamin D Alters Lipid Metabolism And Epithelialto- Mesenchymal Transition In Metastatic Epithelial Breast Cancer Cells, Alle Nicole Barnard
1,25-Dihydroxyvitamin D Alters Lipid Metabolism And Epithelialto- Mesenchymal Transition In Metastatic Epithelial Breast Cancer Cells, Alle Nicole Barnard
Open Access Theses
Evidence suggests that high vitamin D status (marked by serum 25-hydroxyvitamin D, 25(OH)2 D) is associated with a decreased risk of breast cancer. It has been established that 1,25-dihydroxyvitamin D (1,25(OH) 2 D) can alter glycolysis and the Krebs cycle of breast cancer cells (Jiang et al., 2010; Zheng et al., 2013) but little information is available on 1,25(OH) 2 D's alterations of lipid metabolism in breast cancer cells. Thus, the current research investigates if there was an effect of 1,25(OH) 2 D on proteins that regulate lipid metabolism in MCF10A, MCF10A-ras, MCF10CA1h, and MCF10CA1a epithelial breast cancer cells. While …