Project description:MITF is a transcription factor and identified as a oncoprotein in melanoma, but its role in lung adenoacrcinoma is still unknown. This study sought to investigate the effects of MITF on the biological behavior and global gene expression profiles in lung adenocacinoma cells. We used expression microarrays to identify the global gene alterations in lung adenocacinoma cell line, CL1-0 cells after ectopic expressing three shRNA for knockdown MITF expression.
Project description:The model is based on publication:
Mathematical analysis of gefitinib resistance of lung adenocarcinoma caused by MET amplification
Abstract:
Gefitinib, one of the tyrosine kinase inhibitors of epidermal growth factor receptor (EGFR), is effective for treating lung adenocarcinoma harboring EGFR mutation; but later, most cases acquire a resistance to gefitinib. One of the mechanisms conferring gefitinib resistance to lung adenocarcinoma is the amplification of the MET gene, which is observed in 5–22% of gefitinib-resistant tumors. A previous study suggested that MET amplification could cause gefitinib resistance by driving ErbB3-dependent activation of the PI3K pathway. In this study, we built a mathematical model of gefitinib resistance caused by MET amplification using lung adenocarcinoma HCC827-GR (gefitinib resistant) cells. The molecular reactions involved in gefitinib resistance consisted of dimerization and phosphorylation of three molecules, EGFR, ErbB3, and MET were described by a series of ordinary differential equations. To perform a computer simulation, we quantified each molecule on the cell surface using flow cytometry and estimated unknown parameters by dimensional analysis. Our simulation showed that the number of active ErbB3 molecules is around a hundred-fold smaller than that of active MET molecules. Limited contribution of ErbB3 in gefitinib resistance by MET amplification is also demonstrated using HCC827-GR cells in culture experiments. Our mathematical model provides a quantitative understanding of the molecular reactions underlying drug resistance.
Project description:Alterations in cellular antigen processing and presenting machinery has gained increased interest as a hallmark of cancer-related inflammation. Growing evidence suggest that proteasome composition and immunoproteasome expression can influence antigen processing. By performing immunopeptidomics on A549 lung adenocarcinoma cell line following depletion of proteasome regulator PSME4 we identified alterations in the antigenic landscape resulting from changes in proteasome processing.
Project description:Alterations in cellular antigen processing and presenting machinery has gained increased interest as a hallmark of cancer-related inflammation. Growing evidence suggest that proteasome composition and immunoproteasome expression can influence antigen processing. By performing immunopeptidomics on A549 lung adenocarcinoma cell line following depletion of proteasome regulator PSME4 we identified alterations in the antigenic landscape resulting from changes in proteasome processing.