Project description:To identify a novel miRNA that is aberrantly expressed in GICs, we analyzed differences in miRNA expression between the human GICs and glioma cell lines and neural stem cells by miRNA microarrays. We examined the miRNA expression profiles of five human GICs that were obtained from human glioma samples and two human glioma cell lines, U87 and U251, and NSC (neural stem cells) as a control.
Project description:Using Affymetrix GeneChip® Human Genome U133 Plus 2.0 Array, we compared the gene expression profiles between the glioma cell lines U87 and Glio6, cultured at 3% of oxygene.
Project description:The FAT1 gene was knocked down using 2 independent siRNAs, in immortalized human astrocytes and U87 and U251 glioma cell lines. A non-targeted scramble siRNA was used as a control.
Project description:Whole gene methylation profiles of U87 and U251 glioma cells before and after artesunate treatment, Infinium MethylationEPIC BeadChip, samples including 3 U87 cell normal group, 3 U251 cell normal group, 3 artesunate treated U87 cell group, U251 cell group was treated with 3 artesunate.
Project description:Artesunate possesses the potential of intervening with glioma, however, its pharmacological mechanisms remain unclarified. In this research, we aim to explore the regulatory mechanism of artesunate acting on glioma through constructing the interaction network of therapeutic effects-related genes of artesunate based on transcriptome sequencing data of glioma cells, and then verified by apoptosis staining and molecular docking at cellular level. In vitro cell activity and proliferation assay of two human glioma cell lines indicated that artesunate exerted more obvious inhibitory effects on the cell activity and proliferation of U87 cells than that of U251 cells. It could significantly promote apoptosis in U87 cells (P<0.01), while not in U251 cells (P>0.05), detected by using Hoechst and TUNEL cell apoptosis staining. Further, the differential expression gene sets between artesunate-sensitive and non-sensitive cell line, as well the therapeutic effects-related genes of artesunate were obtained, respectively, by transcriptome sequencing and differential data analysis using the lysis buffer of U87 and U251 cells before and after artesunate treatment. Then, key putative targets that related to therapeutic effects were screened by constructing the interaction network of differential genes of three above comparison groups, and calculating their topological characteristics. Pathway enrichment analysis showed that those key putative targets were significantly enriched in several signaling pathways that were closely associated with the main pathological changes of glioma, among which ATF4-DDIT3-PARP1 signaling axis, that was related with cell apoptosis, was the most enriched in. Molecular docking indicated that artesunate had fine binding affinities with ATF4 and DDIT3. Above all, this study preliminarily revealed that artesunate may induce the apoptosis and inhibited cell proliferation of glioma cells through regulating the abnormal alterations of corresponding proteins in ATF4-DDIT3-PARP1 signaling axis, which provided the novel scientific basis for its potential application in treating glioma.
Project description:As a first step towards identifying the target genes of EGFR activity in glioma cells, genome-wide expression analyses were performed using the Affymetrix GeneChip Human Genome U133A array. To accomplish this, mRNA expression levels of these genes were measured in the glioblastoma cell lines, U87 and U178, engineered with EGFR by retrovirus transduction (termed U87-EGFR and U178-EGFR respectively), with or without 20 ng/mL EGF treatment for 3 h. U87 and U178 cells engineered to express EGFR were stimulated with or without EGF. The experiment was replicated twice for each U87 and U178 cells.
Project description:The DNA methylation profiles of Glioma Stem Cell (GSC) lines were investigated in order to find the stem cell signature associated to glioblastoma (GBM). This goal was achieved through the comparison of GSC methylation data with FFPE-GBM biopsies and human foetal Neural Stem Cell (NSC) lines profiles.
