Project description:Fra-2 belongs to the activated protein-1 (AP-1) family and is involved in the mechanisms of resistance to platinum in ovarian cancer and to anti-EGFR therapy in NSCLC. We used microarrays to identify genes potentially regulated by Fra-2 transciptional activity.
Project description:To characterize the differentially expressed genes of miR340, we compared the gene expression profiles of miR-340 overexpressing human A549 cells with that of empty vector transfected A549 cells
Project description:The aim of this experiment is to identify novel gene candidates being regulated in Fra-2 overexpressing mice. Fra-2 over-expressing mice (Fra-2 TG) develop vascular remodeling and pulmonary fibrosis. Fra-2, as a trascription factor, is responsible for downstream target genes expression. Comparison of the mRNA expressed from WT and Fra-2 TG animals will help to identify Fra-2 target genes. The microarray analysis will be performed in mRNA isolated from lung homogenate. The lungs of the mice were extensively perfused. The right part was snap-froen and transfered to (-80°C). The total RNA was isolated and quantified.
Project description:The aim of this experiment is to identify novel gene candidates being regulated in Fra-2 overexpressing mice. Fra-2 over-expressing mice (Fra-2 TG) develop vascular remodeling and pulmonary fibrosis. Fra-2, as a trascription factor, is responsible for downstream target genes expression. Comparison of the mRNA expressed from WT and Fra-2 TG animals will help to identify Fra-2 target genes. The microarray analysis will be performed in mRNA isolated from lung homogenate. The lungs of the mice were extensively perfused. The right part was snap-froen and transfered to (-80°C). The total RNA was isolated and quantified. Comparison of transgenes vs. wild-types. Hybridization of samples from 4 wild-type and 4 transgene animals = 8 single-color hybridizations
Project description:We hypothesized that gene expression in lungs of Fra-1+/+ and Fra-1-/- mice are divergent thus contributing fibrosis. More specifically, Fra-1-/- mice are increased susceptible to fibrosis. In order to test these hypotheses at the gene expression level, we utilized microarray analysis to examine transcriptional differences between Fra-1+/+ and Fra-1-/- mice at early time point.
Project description:In the paper "Fra-1 regulates its target genes via binding to remote enhancers without exerting major control on chromatin architecture in triple negative breast cancers" by Bejjani et al., we identified Fra-1 and/or Fra-2 target genes in MDA-MB-231 cells. si RNA against Fra-1 and against Fra-2 were transfected in MDA-MB-231 cells either independenlty or simultaneously to identify genes regulated specifically by Fra-1 or Fra-2 and genes regulated redundantly or complementarily by Fra-1 and Fra-2 total RNA were purified and biotinylated sense-strand cDNA were produced. cDNA targets were used to probe Affymetrix GeneChip Human Gene 2.0 ST arrays
Project description:We hypothesized that gene expression in lungs of Fra-1+/+ and Fra-1-/- mice are divergent thus contributing fibrosis. More specifically, Fra-1-/- mice are increased susceptible to fibrosis. In order to test these hypotheses at the gene expression level, we utilized microarray analysis to examine transcriptional differences between Fra-1+/+ and Fra-1-/- mice at early time point. This study utilizes microarray analysis to test these hypotheses. 5 days PBS and bleomycin treated lung samples from both Fra-1+/+ and Fra-1-/- mice were used. RNA was isolated and used for global gene expression profiling (Affymetrix MoGene 1.0ST v1 Array). The raw probe signal intensities were quantile normalized over all samples, summarized with the robust multi-array average (RMA) algorithm and log2 transformed with a median polish, using the Affymetrix Power Tools. We considered a transcript cluster (gene-level) to be reliably expressed in a sample if the Affymetrix implemented DABG (detection above ground) p-value was less than 0.05. We used local-pooled-error (LPE) estimates and robust statistical tests for evaluating significance of each gene's differential expression in a comparison.