Gene expression profiling of glioblastoma cell lines transfected with FGFR3-TACC3
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Parker BC
PROVIDER: S-ECPF-GEOD-42401 | biostudies-other | 2013 Feb
REPOSITORIES: biostudies-other
Similar Datasets
Project description:Gene expression profiling of SNB19 and U251 glioblastoma cell lines transfected with the FGFR3-TACC3 fusion, FGFR3 wildtype and TACC3 wildtype constructs.
2012-12-01 | GSE42401 | GEO
Project description:Gene expression profiling of SNB19 and U251 glioblastoma cell lines transfected with the FGFR3-TACC3 fusion, FGFR3 wildtype and TACC3 wildtype constructs. SNB19 and U251 cells were transfected with different clones of the FGFR3-TACC3 fusion and with wildtype FGFR3 and TACC3 constructs. Total RNA was extracted and hybridized onto Agilent dual channel gene expression microarrays. In each hybridization, empty vector transfected SNB19 or U251 cells were hybridized into the reference channel.
2012-12-01 | E-GEOD-42401 | biostudies-arrayexpress
Project description:To identify signaling pathways that are differentially regulated in human gliomas, a microarray analysis on 30 brain tumor samples (12 primary glioblastomas (GBM), 3 secondary glioblastomas (GBM-2), 8 astrocytomas (Astro) and 7 oligodendrogliomas (Oligo)) and on 5 glioblastoma cell lines (LN018, LN215, LN229, LN319 and BS149) was performed. Normal brain tissue (NB) and normal human astrocytes (NHA) were used as a control. Kinase expression in each tumor was compared to expression in normal brain and expression values from normal human astrocytes were used as an additional control. Keywords: Kinase expression in each tumor was compared to expression in normal brain and expression values from normal human astrocytes were used as an additional control. Frozen tissue samples of human gliomas and normal brain obtained from the operating room were processed according to the guidelines of the Ethical Committee of the University Hospitals of Basel. Human brain tumor cell lines were derived from human patients. The BS149 cell line was generated at the University of Basel, Switzerland while the “LN” series were a kind gift of Erwin van Meir in Lausanne, Switzerland. Normal human astrocytes (NHAs) were purchased by Cambrex (Walkersville, MD) and cultured according to manufacturer’s recommendations.
| S-ECPF-GEOD-15824 | biostudies-other
Project description:Osteosarcoma (OS) is the most common type of primary bone malignancy and has a poor prognosis. To investigate the mechanisms of osteosarcoma, the present analyzed the GSE28424 microarray. GSE28424 was downloaded from the Gene Expression Omnibus, and included a collective of 19 OS cell lines and four normal bone cell lines, which were used as controls. Subsequently, the differentially expressed genes (DEGs) were screened using the Limma package in Bioconductor. Gene Ontology (GO) and pathway enrichment analysis of the DEGs was performed using the Database for Annotation, Visualization and Integrated Discovery, interactions between the proteins encoded by the DEGs were identified using STRING, and the protein‑protein interaction (PPI) network was visualized using Cytoscape. In addition, modular analysis of the PPI network was performed using the Clique Percolation Method (CPM) in CFinder. A total of 1,170 DEGs were screened, including 530 upreguated and 640 downregulated genes. The enriched functions included organelle fission, immune response and response to wounding. In addition, RPL8 was observed to be involved with the ribosomal pathway in module A of the PPI network of the DEGs. PLCG1, SYK and PLCG2 were also involved in the B‑cell receptor signaling pathway in module B and the Fc‑epsilon RI signaling pathway in module C. In addition, AURKA (degree=39), MAD2L1 (degree=38), CDCA8 (degree=38), BUB1 (degree=37) and MELK (degree=37) exhibited higher degrees of connectivity in module F. The results of the present study suggested that the RPL8, PLCG1, PLCG2, SYK, MAD2L1, AURKA, CDCA8, BUB1 and MELK genes may be involved in OS.
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Project description:Glioblastoma is frequently associated with TP53 mutation, which is linked to a worse prognosis and response to conventional treatments (chemoradiotherapy). Therefore, targeting TP53 is a promising strategy to overcome this poor therapeutic response. Tumor-treating fields (TTFields) are a recently approved treatment for newly diagnosed glioblastoma, which involves direct application of low-intensity, intermediate-frequency alternating electric fields to the tumor, thereby offering a local tumor-killing effect. However, the influence of TP53 mutation status on the effectiveness of TTFields is controversial. Here, we identified the key gene signatures and pathways associated with TTFields in four glioblastoma cell lines varying in TP53 mutation status using gene profiling and functional annotation. Overall, genes associated with the cell cycle, cell death, and immune response were significantly altered by TTFields regardless of TP53 status. TTFields appeared to exert enhanced anti-cancer effects by altering the immune system in the inflammatory environment and regulating cell cycle- and cell death-related genes, but the precise genes influenced vary according to TP53 status. These results should facilitate detailed mechanistic studies on the molecular basis of TTFields to further develop this modality as combination therapy, which can improve the therapeutic effect and minimize side effects of chemoradiotherapy.
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Project description:BackgroundNon-small cell lung cancer (NSCLC) is the most common type of lung cancer and has a poor prognosis. Identifying biomarkers based on molecular mechanisms is critical for early diagnosis, timely treatment, and improved prognosis of lung cancer. MALAT1 has been reported to have overexpressed and tumor-promoting functions in NSCLC. It has been proposed as a potential biomarker for the diagnosis and prognosis of cancer. Therefore, this study was conducted to profile the changes in gene expression according to the regulation of expression of MALAT1 in NSCLC cell lines and to investigate the correlation through bioinformatic analysis of differentially expressed genes (DEGs).MethodsMALAT1 expression levels were measured using RT-qPCR. The biological functions of MALAT1 in NSCLC were analyzed by cell counting, colony forming, wound-healing, and Transwell invasion assays. In addition, gene expression profiling in response to the knockdown of MALAT1 was analyzed by transcriptome sequencing, and differentially expressed genes regulated by MALAT1 were performed by GO and KEGG pathway enrichment analyses. Bioinformatic databases were used for gene expression analysis and overall survival analysis.ResultsComparative analysis versus MALAT1 expression in MRC5 cells (a normal lung cell line) and the three NSCLC cell lines showed that MALAT1 expression was significantly higher in the NSCLC cells. MALAT1 knockdown decreased cell survival, proliferation, migration, and invasion in all three NSCLC cell lines. RNA-seq analysis of DEGs in NSCLC cells showed 198 DEGs were upregulated and 266 DEGs downregulated by MALAT1 knockdown in all three NSCLC cell lines. Survival analysis on these common DEGs performed using the OncoLnc database resulted in the selection of five DEGs, phosphoglycerate mutase 1 (PGAM1), phosphoglycerate mutase 4 (PGAM4), nucleolar protein 6 (NOL6), nucleosome assembly protein 1 like 5 (NAP1L5), and sestrin1 (SESN1). The gene expression levels of these selected DEGs were proved to gene expression analysis using the TNMplot database.ConclusionMALAT1 might function as an oncogene that enhances NSCLC cell survival, proliferation, colony formation, and invasion. RNA-seq and bioinformatic analyses resulted in the selection of five DEGs, PGAM1, PGAM4, NOL6, NAP1L5, and SESN1, which were found to be closely related to patient survival and tumorigenesis. We believe that further investigation of these five DEGs will provide valuable information on the oncogenic role of MALAT1 in NSCLC.
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Project description:Cerebral metastases occur in a majority of metastatic melanoma patients and are a major cause of mortality. Despite this, there is a poor understanding of the molecules/pathways that lead to the brain-metastatic phenotype. Studies designed to address this deficiency and test novel therapeutic approaches have until recently been slowed by an absence of preclinical models of spontaneous CNS metastatic melanoma disease. To address this, we isolated two variants of the human melanoma cell line WM239 (named 131/4-5B1 and 131/4-5B2) which can metastasize spontaneously to brain parenchyma from an orthotopic primary transplant. We have performed gene expression profiling on both brain metastatic cell lines (131/4-5B1 and 131/4-5B2) and compared to the poorly metastatic parental cell line WM239A and a derived highly metastatic variant 113/6-4L in order to examine the mechanisms that influence the progression of malignant melanoma to a brain-metastatic phenotype. Two-condition experiment, brain metastatic cell lines (131/4-5B1 and 131/4-5B2) and compared to the poorly metastatic parental cell line WM239A and a derived highly metastatic variant 113/6-4L. Biological replicates: 4 independently grown and harvested cell line passages. Two technical replicate per condition (including dye swap).
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Project description:Previous studies demonstrated that DNase I hypersensitive site -40 (HS-40) of the alpha-globin locus is capable of greatly enhancing expression of a hybrid beta/gamma-globin transcriptional unit in plasmid-transfected murine erythroleukemia (MEL) cells. However, as reported here, this same gamma-globin gene expression cassette was only transcribed at trace amounts in erythroid cells of transgenic mice. This lack of expression was not directly attributable to the beta/gamma-globin transcriptional unit, since this same unit linked to a composite beta-globin locus control region was expressed at high levels in transgenic mice. This lack of expression was also not directly attributable to chromosomal position effects, since addition of chromatin insulators failed to increase the frequency of expression. DNase I hypersensitivity and chromatin immunoprecipitation assays demonstrated that the lack of expression was correlated with a closed chromatin structure. We hypothesize that transgenes undergo dynamic changes in chromatin conformation following chromosomal integration and that the discrepant results reported here can be attributed to the relatively high level of chromatin remodeling that occurs in the transgenic mouse model, coupled with the relative inability of the HS-40 element to maintain an open chromatin state under such conditions.
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Project description:We compared a large panel of human glioblastoma stem-like (GS) cell lines, corresponding primary tumors and conventional glioma cell lines to identify cell lines that preserve the transcriptome of human glioblastomas most closely, thereby allowing identification of shared therapeutic targets. We used Affymetrix HG-U133 Plus 2.0 microarrays to compare human glioblastoma stem-like (GS) cell lines, corresponding primary tumors and conventional glioma cell lines. We extracted total RNA from 32 conventional glioma cell lines, 12 GS cell lines (8 in two different passages), 7 clonal sublines derived from two GS lines, 12 original tumors, and 4 monolayer cultures established from the same tumors as GS-lines using standard serum conditions.
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Project description:Recent studies demonstrated that tumor cells with stem cell-like properties can be cultured from human glioblastomas by using conditions that select for the expansion of neural stem cells. We established glioblastoma stem-like (GS-) cell cultures from 9 different glioblastomas, 8 of which generated stably expandable cell lines. Analyzing GS-cell cultures, we discovered two clearly discernable phenotypes. Microarray analysis showed that the 4 GSf cell lines shared expression profiles dominated by genes involved in nervous system development and neuropeptide signaling, while the 5 GSr lines shared expression signatures enriched for extracellular matrix-proteins. Experiment Overall Design: Affymetrix HG-U133 Plus 2.0 chips were employed for expression profiling from 9 different glioblasoma derived neurosphere cultures in two biological replicates.
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