Project description:We performed next-generation RNA sequencing for HCC827 human lung adenocarcinoma cells that are stably transfected with pcDNA3.1-ZEB1 or an empty pcDNA3.1 vector plasmid, in triplicate for each of the two HCC827 cell transfectants. The goal of this experiment is to identify putative downstream mediators of ZEB1 in human lung cancer cells. By successfully acquiring about 25 million reads for each sample, we identified more than 1,700 transcripts that are significantly regulated by ZEB1 (increased or decreased by ZEB1; p < 0.05). Among these genes, 87 of them are predicted direct targets for microRNA-200c, a well-established transcription target of ZEB1. Our results will be useful for further identification of genes that mediate the biological functions of ZEB1 in human lung cancer cells.
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:Purpose: The goals of our study were to identify downstream pathway regulated by GSK-J4 in lung adenocarcinoma Methods: RNAs isolated from GSK-J4-treated or untreated lung adenocarcinoma (HCC827, H23 and A549) were analyzed by using an Illumina Nextseq500 Conclusions: Our study represents the first detailed transcriptomic analysis of effects of GSK-J4 in lung adenocarcinoma.
Project description:Human EGFR-mutated lung adenocarcinoma cell lines HCC4006, HCC827 and PC9 were treated with trametinib or DMSO to assess the impact on transcription.
Project description:The receptor tyrosine kinase (RTK) EGFR is overexpressed and mutated in NSCLC. These mutations can be targeted by RTK inhibitors (TKIs), such as erlotinib. Chromatin-modifying agents offer a novel therapy approach by sensitizing tumor cells to TKIs. The NSCLC cell lines HCC827 (EGFR mutant, adenocarcinoma), A549 (EGFR wt, adenocarcinoma) and NCI-H460 (EGFR wt, large cell carcinoma) were analyzed by SNP6.0 array. Changes in proliferation were quantified by WST-1 assay, apoptosis by Annexin V/7-AAD flow cytometry and histone marks (acH3, H3K4me1,-2,-3) by immunoblotting. Expectedly, the EGFR wt cell lines A549 and NCI-H460 were insensitive to the growth-inhibiting effect of single-agent erlotinib (IC50 70-100µM), compared to HCC827 (IC50 <0.02μM). Treatment with panobinostat diminished growth to <50% in both EGFR wt and <30% in HCC827 cells. The combination of both drugs significantly reduced proliferation by ≥70% in A549, >95% in HCC827, but not further in NCI-H460. Panobinostat alone induced differentiation and expression of p21WAF1/CIP1 and p53 in all three cell lines, with almost no further increase when combined with erlotinib. In contrast, combination treatment additively decreased pERK, pAKT and pEGFR in A549, and synergistically induced acH3 in both adenocarcinoma lines. Surprisingly, we also saw an induction of H3K4 methylation marks in all three cell lines. In conclusion, panobinostat synergistically sensitized lung adenocarcinoma cells to the antiproliferative effects of erlotinib. Since single-agent erlotinib has only modest clinical effects in adenocarcinoma EGFR wt patients, combination therapy with an HDACi might offer a promising therapy approach to extend this activity. Copy-number analysis of three NSCLC cell lines HCC827, A549 and NCI-H460 (in unicates) was performed according to protocol by Affymetrix Genome-Wide Human SNP-Array 6.0.
Project description:Lung adenocarcinoma cells harboring epidermal growth factor receptor (EGFR) mutations are sensitive to EGFR tyrosine kinase inhibitors (TKIs). Prolonged cancer treatment will induce the development of acquired resistance to EGFR TKI. To gain insight into the molecular mechanisms of EGFR-TKIs resistance, we generate EGFR-TKI-resistant HCC827-8-1 cells to be analyzed by microarray with their parental HCC827cells. gefitinib resistant HCC827-8-1 cells with three replications; gefitinib-sensitive HCC827 cells with three replications
Project description:An equal mixture of cells from the 3 Human Lung Adenocarcinoma cell lines (H2228, NCI-H1975 and HCC827) were processed on the Chromium 3' single cell platform (10X Genomics) and sequenced on an Illumina NextSeq 500. FASTQ data were preprocessed using both scPipe and CellRanger.
Project description:mRNA sequencing of EGFR mutant HCC827 lung adenocarcinoma cells were treated with erlotinib (EGFR inhibitor) for 24hr to profile and characterize dysregulated pathways in response to EGFR inhibition
Project description:RNA-seq in isogenic RBM10-proficient and RBM10-deficient cells derived from lung adenocarcinoma cell lines HCC827 (parental and RBM10 knockout; control siRNA and RBM10 siRNA) and NCI-H1299 (parental and RBM10 knockout).