E-MEXP-567
Ontology highlight
ABSTRACT:
PROVIDER: E-MEXP-567 | ExpressionAtlas | 2015-06-26
REPOSITORIES: ExpressionAtlas
Similar Datasets
Project description:Comparison of grade II astrocytic tumor (astrocytomas) with grade IV tumors (glioblastoma)
2007-03-01 | E-MEXP-567 | biostudies-arrayexpress
Project description:We performed expression profiling of 24 meningioma and two dura controls analyzing 55000 transcripts including 18300 known genes. We compared expression in meningioma vs. dura, expression of low grade (WHO I) vs. higher-grade (WHO II and WHO IIII) tumors and expression of meningothelial and syncytial meningioma vs. fibroblastic meningioma.
2008-11-21 | GSE12530 | GEO
Project description:Summary: Astrocytomas can be categorized as either low grade or high grade (glioblastoma). Low grade astrocytomas are not generally aggressive tumors whereas glioblastomas are and in turn have a high mortality rate. The purpose of this experiment is to identify genetic differences between the two types. Hypothesis: There will be a difference in RNA expression between high grade and low grade tumors. Specific Aim: To identify genes which make a tumor high grade or low grade Experiment Overall Design: Comparison of 8 high grade and 12 low grade tumors
2007-11-02 | E-GEOD-3185 | biostudies-arrayexpress
Project description:Genomewide DNA methylation array profiling of 23 previously unpublished CNS tumors resolved into a new entity, high-grade glioma with pleomorphic and pseudopapillary features (HPAP). Tumors demonstrate a variety of histologic diagnoses including glioblastoma (GBM), pleomorphic xanthoastrocytoma (PXA), anaplastic ependymoma, and polymorphous low-grade neuroepithelial tumor of the young (PLNTY). The Illumina Infinium EPIC 850k Human DNA Methylation Beadchip was used to obtain DNA methylation profiles across approximately 850,000 CpG sites of genomic DNA extracted from formalin-fixed, paraffin-embedded tumor tissue.
2022-02-04 | GSE195567 | GEO
Project description:Summary: Astrocytomas can be categorized as either low grade or high grade (glioblastoma). Low grade astrocytomas are not generally aggressive tumors whereas glioblastomas are and in turn have a high mortality rate. The purpose of this experiment is to identify genetic differences between the two types. Hypothesis: There will be a difference in RNA expression between high grade and low grade tumors. Specific Aim: To identify genes which make a tumor high grade or low grade Keywords: disease, cancer grade
2005-08-24 | GSE3185 | GEO
Project description:To investigate the regulatory mechanisms governing the malignant signature of different gliomas we analyzed microRNA expression profiles in human tumor samples of world health organization (WHO) grade I (benign tumors), II (low grade tumors) and IV (high grade tumors) and from primary cultures obtained from tumor samples of grade II and IV. Patients This study included tumor samples histologically verified as astrocytic gliomas obtained from patients who had undergone craniotomy for microsurgical tumor removal. According to the revised WHO classification, tumors were diagnosed as: grade I or pilocytic astrocytomas; grade II or diffuse fibrillary astrocytomas; grade IV or glioblastoma multiforme. Primary cell cultures from grade II and grade IV gliomas were also obtained and miRNA expression in these cultures were analyzed RNA extraction Total RNA, including small RNA, was isolated from tissue samples using the mirVanaTM miRNA Isolation Kit (Ambion) following the standard protocol. The quantity and quality of the purified RNA was evaluated by spectrophotometric analysis and electrophoresis on denaturing gel of acrylamide. Multiplex Real-Time Quantitative Reverse-Transcriptase Polymerase Chain Reaction (RT-PCR) The miRNAs were first converted to cDNA using Multiplex RT for TaqMan Array Human MicroRNA Panel. The RT Master mix included 100 mM each of dNTPs , 50 U/ml MultiScrabe reverse transcriptase (Applied Biosystems), 20 U/M-BM-5l RNase inhibitor (Applied Biosystems) and 10X RT Buffer. The 10 M-BM-5l reactions, including 7 M-BM-5l of RT master mix, 2 M-BM-5l of purified microRNA and 1 M-BM-5l of Multiplex RT Human primer pool (Applied Biosystem), were incubated in ice for 5 min and then in a thermal cycler for 30 min at 16M-BM-0C, 30 min at 42M-BM-0C, 5 min at 85M-BM-0C, and then hold at 4M-BM-0C. miRNA levels were normalized to the expression of small nucleolar RNAs, RNU44, RNU48 and RNU6B. All reverse transcriptase reactions, including no-template controls and RT controls, were run in duplicate. Real-time PCR was performed using a standard TaqMan PCR kit procedure on an M-bM-^@M-^\Real Time Fast 7900 HTM-bM-^@M-^] PCR System (Applied Biosystems). The 100 M-BM-5l PCR included 50 M-BM-5l RT product (before diluited 1:60) and 50 M-BM-5l TaqMan Universal PCR Master Mix (2X) (Applied Biosystems). The total volume were loaded into Card TaqMan Low Density Array Human MicroRNA Panel (Applied Biosystem) including a total of 384 human microRNAs publicated on databases www.sanger.ac.uk. The reaction cards was runned at 50M-BM-0C for 2 min and 95M-BM-0C for 10 min, followed by 40 cycles of 97M-BM-0C for 30s and 59,7M-BM-0C for 1 min. All reactions were run in triplicate. Analysis of data was performed using the SDS 2.3 software using the 2-M-bM-^HM-^FM-bM-^HM-^FCt (relative quantitative) method . The M-bM-^HM-^FCt of every miRNA was determined in relation to the endogenous control RNA U6 that was invariably expressed in all samples. The M-bM-^HM-^FM-bM-^HM-^FCt value was determined in relation to the calibrator, namely the normal brain tissue. Resulting data were grouped according to the tumor grading e selectioned using a cut-off value of 3. Results were expressed as M-bM-^@M-^\fold changeM-bM-^@M-^] over normal brain tissue. We analyzed two samples of grade I, two samples of grade II, two samples of grade IV gliomas. Four samples form norma brain were used as norma control. Primary cell cultures form grade II and grade IV samples were used for the analysis. All reverse transcriptase reactions, including no-template controls and RT controls, were run in triplicate.
2013-09-18 | E-GEOD-50924 | biostudies-arrayexpress
Project description:Glioblastoma ranks as one of the most lethal human cancers, with no effective therapies. To discover novel therapeutic targets, here we performed parallel in vivo and in vitro RNA interference screens of epigenetic regulators and show that transcription elongation factors are essential for human glioblastoma cell survival in vivo, but not in vitro. Context-specific dependency in vivo is driven by microenvironment-induced global changes in the cancer epigenome. JMJD6, a top in vivo-specific hit, binds at enhancers and correlates with increased transcription of known pause-controlled genes. JMJD6 knockdown in patient-derived glioblastoma cells enhances survival of mice bearing orthotopic tumors. Moreover, elevated levels of JMJD6 alone, as well as transcription elongation factors collectively, informs tumor grade and predicts poor prognosis for patients. Our work provides a rationale for targeting transcription elongation as a therapeutic strategy in glioblastoma and, more broadly, the power of in vivo phenotypic screening to identify therapeutically relevant targets in cancer.
2017-04-01 | GSE74516 | GEO
Project description:Glioblastoma ranks as one of the most lethal human cancers, with no effective therapies. To discover novel therapeutic targets, here we performed parallel in vivo and in vitro RNA interference screens of epigenetic regulators and show that transcription elongation factors are essential for human glioblastoma cell survival in vivo, but not in vitro. Context-specific dependency in vivo is driven by microenvironment-induced global changes in the cancer epigenome. JMJD6, a top in vivo-specific hit, binds at enhancers and correlates with increased transcription of known pause-controlled genes. JMJD6 knockdown in patient-derived glioblastoma cells enhances survival of mice bearing orthotopic tumors. Moreover, elevated levels of JMJD6 alone, as well as transcription elongation factors collectively, informs tumor grade and predicts poor prognosis for patients. Our work provides a rationale for targeting transcription elongation as a therapeutic strategy in glioblastoma and, more broadly, the power of in vivo phenotypic screening to identify therapeutically relevant targets in cancer.
2017-04-01 | GSE74520 | GEO
Project description:Glial progenitor cells (GPCs) of the adult human white matter, which express gangliosides recognized by monoclonal antibody A2B5, are a potential source of glial tumors of the brain. We used A2B5-based sorting to extract progenitor-like cells from a range of human glial tumors, that included low-grade glioma, oligodendroglioma, oligo-astrocytomas, anaplastic astrocytoma, and glioblastoma multiforme. The A2B5+ tumor cells proved tumorigenic upon orthotopic xenograft, and the tumors generated reflected the phenotypes of those from which they derived. Expression profiling revealed that A2B5+ tumor progenitors expressed a cohort of genes by which they could be distinguished from A2B5+ GPCs isolated from normal adult white matter. Most of the genes differentially expressed by glioma-derived A2B5+ cells varied as a function of tumor stage; however, a small number were invariably expressed at all stages of gliomagenesis. These glioma progenitor-associated genes included CD24, SIX1 and EYA1, which were up-regulated at all stages of gliomagenesis, and MTUS1 and SPOCK3, which were down-regulated at all stages of tumor progression. qPCR and immunolabeling confirmed the differential expression of these genes in primary gliomas, while pathway analysis permitted their segregation into differentially active signaling pathways. By comparing the expression patterns of glial tumor progenitors to their identically-isolated normal homologues, we have identified a discrete set of oncogenic pathways by which glial tumorigenesis may be both better understood, and more efficiently targeted. Samples originating from patients with matched disease and/or pathology were considered as replicates either on the basis of exact tumor phenotype, tumor grade, or tumor vs. normal tissue samples.
2013-05-16 | E-GEOD-29796 | biostudies-arrayexpress
Project description:Glioblastoma multiforme (GBM) is a highly aggressive and vascularized malignant brain tumor. SoxF transcription factors consisting of Sox7, Sox17, and Sox18 are expressed specifically in endothelial cells (ECs) and contribute to vascular morphogenesis. While the role of Sox17 was found in subcutaneous ectopic tumors, Sox7 has not been studied in the context of tumor angiogenesis. Here, we investigated gene expression profile of RNA analysis of Sox7- and Sox17-deficient mouse endothelial cells from high grade glioma using RNA sequencing to validate molecular characteristics of Sox7 and Sox17 in high grade glioma.
2018-01-27 | GSE107530 | GEO