Project description:HGF sensitizes ovarian cancer cells to chemotherapeutics, e.g. cisplatin (CDDP), through a signaling cascade activated by its MET oncogene encoded receptor and transduced by the p38MAPK. This cascade results in the regulation of a common set of transcripts in three ovarian cancer cell lines, with different genetic profiles and susceptibility to drugs. In order to elucidate the mechanism of HGF dependent cell sensitization to drugs, the transcriptional response of the three ovarian cancer cell lines to HGF and CDDP were studied by microarray based transcription profiling
Project description:The transcriptional response to CDDP of three ovarian cancer cell lines was studied. These lines show different genetic profiles and display different susceptibilities to CDDP. The time and doses that resulted in the apoptotic death of each cell line was identified and used to study the expression profiles associated to CDDP-induced cell death in each cell line. CDDP: cis-diamminedichloroplatinum(II) In order to elucidate the mechanism of CDDP dependent cell susceptibilities to drugs, the transcriptional response of the three ovarian cancer cell lines to CDDP were studied by microarray based transcription profiling
Project description:We studied MET-transformed human primary osteoblasts (MET-HOBs), which we previously turned into osteosarcoma cells by LV driven over-expression of MET oncogene. We obtained distinct MET transformed HOB clones derived from independent events of transgene integration. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays. Expression profiles of MET-HOBs and parental HOBs were compared. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays
Project description:We studied MET-transformed human primary osteoblasts (MET-HOBs), which we previously turned into osteosarcoma cells by LV driven over-expression of MET oncogene. We obtained distinct MET transformed HOB clones derived from independent events of transgene integration. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays. Expression profiles of MET-HOBs and osteosarcoma cell lines were compared. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays
Project description:"The analysis was designed to search for putative seed sequences for miR-126 in the 3M-bM-^@M-^YUTR of up-regulated genes. ECs were co-transfected with anti-miR-126 and a plasmid vector bearing the GFP-coding sequence and three complementary sites for miR-126 downstream. As a consequence of the presence of miR-126 binding sites the GFP expression was under the control of miR-126. Fluorescente cells were the cells transfected with anti-miR-126 oligo. MiR-126 target enrichment analysis was performed on the basis of the Miranda database, as provided by Diana miRGen. Significance was estimated on the basis of hyper geometric distribution p-values comparing the occurrence of miR targets in the signature with respect to the universe, defined as the genes expressed in HUVEC. Frequency of log 2 ratio between the subset of mir-126 targets and the genes which are not targets of miR-126 were plotted, highlighting enrichment of the target of miR in differentially regulated genes. " 3 x biological replicates of transiently trasfected cells with anti miR-126 oligo (LNA), and controls oligo. 2 biological replicates for GFP are included as technical controls.
Project description:Ovarian cancer cells treated with CDDP showed up-regulation of IRF-1 and IRF-7. The expression of putative IRF-1 target genes was modulated. CDDP triggered nuclear translocation of IRF-1 and IRF-1 silencing re-orchestrated the expression profiles of CDDP treated cells. Using microarrays, we evaluated the expression profiles of IRF-1 silenced SK-OV-3.
Project description:Knocking down of CSE1L made ovarian cancer cells, but not other cancer and normal cell lines, sensitized to cisplatin and triggered apoptosis. The nuclear localization in ovarian cancer cells suggested that CSE1L might primarily regulate transcription. . Using microarrays, we evaluated the expression profiles of CSE1L silenced SK-OV-3 and TOV-21G cells
Project description:Background Many microarray experiments search for genes with differential expression between a common “reference” group and multiple test groups, like in the case of time-course designs or of various treatments versus a control condition. In such cases, currently employed statistical approaches based on t-test or close derivatives have limited efficacy, mostly because estimation of noise is done on only two groups at time. Alternative approaches based on ANOVA correctly capture noise from all the groups, but then do not confront single test groups with the reference. We therefore conceived a statistical test for pairwise comparisons between the reference group and each test group that uses within-group variance calculated from all the groups. Results We implemented an R-Bioconductor package named Mulcom, with a statistical test derived from the Dunnett’s test, designed to compare multiple experimental groups against a common reference. In addition to the basic Dunnett’s t value, the package includes an optional minimal fold-change threshold, m. Thanks to automated, permutation-based estimation of False Discovery Rate (FDR), the package also permits fast optimization of the test, to obtain the maximum number of significant genes at a given FDR value. When applied on a time-course experiment profiled in parallel on two microarray platforms, and compared with currently used tests, Mulcom displayed higher concordance of significant genes in the two array platforms, and higher enrichment in functional annotation to categories related to the biology of the experiment. Conclusions The Mulcom package provides a fast and powerful tool for the identification of differentially expressed genes when several experimental conditions are compared with a common reference. We found that Mulcom leads to lists of differentially expressed genes that are particularly consistent across microarray platforms and enriched in significant classes of genes. In our opinion, the main reasons for these good performances are three: (i) within-group variability is estimated from all experimental groups even if only two of them are compared each time; (ii) the optional fold-change threshold m avoids false positives due to aberrantly low within-group variability; (iii) automated test optimization allows maximizing sensitivity without compromising specificity. Ten MDA-MB-435 samples, biological duplicates of each condition (untreated, integrin Beta4 treatment, hepatocyte growth factor treatment for 1 hr, 6 hrs, or 24 hrs).
Project description:OPP (1500 ppm gallic acid equivalent (GAE)) was supplemented to BALB/c mice given a normal diet to observe for possible neuroprotective effects. Brains were harvested six weeks after the feeding regimen for gene expression studies. Results from the separate microarray data analysis carried out on the different organs show that OPP have neuroprotective properties in vivo. Total RNA obtained from brains of BALB/c mice given OPP (six weeks after the feeding regimen) were compared to controls given distilled water (three replicates in the treatment group versus three replicates in the control group)
Project description:This SuperSeries is composed of the following subset Series: GSE30905: Microarray analysis on livers, spleens and hearts of mice given distilled water fed with either a normal diet or an atherogenic diet GSE30907: Microarray analysis on livers, spleens and hearts of mice fed an atherogenic diet and supplemented with either oil palm phenolics (OPP) or distilled water Refer to individual Series