E-GEOD-38283
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA167565
DISEASE(S): Glioma,Normal
PROVIDER: E-GEOD-38283 | ExpressionAtlas | 2015-09-30
REPOSITORIES: ExpressionAtlas
Similar Datasets
Project description:Tumor associated macrophages are contributing to local invasion, angiogensis, and metastasis during the progression of many kinds of tumor including glioma We used microrray to study the difference of expression of glioma associated macrophages and normal brain tissue associated macrophages The macrophgages were isolated based on the markers of GFP and F4/80+ from Gl261 glioma and normal brain, RNA were extracted for microarray analysis
2012-05-27 | E-GEOD-38283 | biostudies-arrayexpress
Project description:Tumor associated macrophages are contributing to local invasion, angiogensis, and metastasis during the progression of many kinds of tumor including glioma We used microrray to study the difference of expression of glioma associated macrophages and normal brain tissue associated macrophages
2012-05-28 | GSE38283 | GEO
Project description:Expression data from normal brain/glioma associated macrophages
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Project description:Global gene expression profile in human glioma tissue and adjacent normal tissue samples
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Project description:Interventions: Group 1: Quantitative Expression Analysis of the proteom and gene Expression of Primary Tumor, normal tissue, and metastases
Primary outcome(s): Disease associated Proteins and Genes
Study Design: Allocation: ; Masking: ; Control: ; Assignment: ; Study design purpose: basic science
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Project description:We obtained radiographically-localized biopsies during glioma resection surgeries to sample the tumor core and margins from multiple glioma patients. We also procured fresh, non-neoplastic brain tissue specimens from multiple patients having procedures to relieve epilespy symptoms or to place shunts to treat normal pressure hydrocephalus. We then used RNA-Seq to compare expression patterns between geographically distinct regions of gliomas and computational deconvolution to estimate cell type-specific expression patterns in different disease subtypes. RNA-Seq analysis in 39 contrast-enhancing glioma core samples, 36 non-enhancing FLAIR glioma margin samples, and 17 non-neoplastic brain tissue samples.
2014-07-22 | E-GEOD-59612 | biostudies-arrayexpress
Project description:We performed gene expression profilings of platelet-derived growth factor subunit B (PDGFB)-induced mouse glioma to compare the differential transcriptome profiles between Ctrl-T tumor cells and Olig2cKO tumor cells. Expression profiling of Ctrl-T and Olig2cKO brain tumor (glioma) cells, normal oligodendrocyte progenitor cells (OPCs), normal astrocytes, and normal brain cortex by high-throughput sequencing.
2016-05-17 | E-GEOD-80087 | biostudies-arrayexpress
Project description:The blood-brain barrier (BBB) plays important roles in brain tumor pathogenesis and treatment response, yet our understanding of its function and heterogeneity within or across brain tumor types remains poorly characterized. Here we analyze the neurovascular unit (NVU) of pediatric high-grade glioma (pHGG) and diffuse midline glioma (DMG) using patient derived xenografts and natively forming glioma mouse models. We show tumor-associated vascular differences between these glioma subtypes, and parallels between PDX and mouse model systems, with DMG models maintaining a more normal vascular architecture, BBB function and endothelial transcriptional program relative to pHGG models. Unlike prior work in angiogenic brain tumors, we find that expression of secreted Wnt antagonists do not alter the tumor-associated vascular phenotype in DMG tumor models. Together, these findings highlight vascular heterogeneity between pHGG and DMG and differences in their response to alterations in developmental BBB signals that may participate in driving these pathological differences.
2021-09-01 | GSE179372 | GEO
Project description:Astrocytoma, oligodendroglioma, oligoastrocytoma, and ependymoma are the main histologic subtypes of glioma. The molecular character of these subtypes has profound implications for understanding their causes and treatment. We describe the epigenetic landscape of these tumor types using novel DNA methylation profiling tools. There is a robust association of methylation profile with tumor histology and IDH1 mutation status. Furthermore, tumors with IDH1 mutation independently predict a tumor hypermethylator phenotype, histology, TP53 mutation status, patient age, and survival. Integrating tumor epigenetic and genetic alterations, this work provides a critical step toward better defining the somatic nature of glioma which will have great potential to impact clinical approaches to disease. This work provides an important step forward in classification of malignant brain tumors using DNA methylation profiling, integrating knowledge regarding IDH1 mutation in gliomas. The epigenetic homogeneity of the IDH1 mutant subclass despite histologic diversity implies that IDH1 mutation is a “driver” or functional determinant of a distinct DNA methylation phenotype, suggesting a novel role for an altered metabolic profile in the brain. This association occurs across histologic subtypes and demonstrates a clear relationship between genetic alteration and epigenetic profile. Fresh frozen tumor tissues were obtained from the University of California San Francisco (UCSF) Brain Tumor Research Center tissue bank with appropriate institutional review board approval. Tumors were diagnosed between 1990 and 2003. Tumor samples were defined as secondary GBM if the patients had prior histological diagnosis of a low-grade glioma. Tumors had previously been reviewed by UCSF neuropathologists to assign histologic subtype and grade. Normal brain tissue samples were from cancer-free patients who underwent temporal lobe resection as treatment for epilepsy at UCSF.
2010-12-20 | E-GEOD-20395 | biostudies-arrayexpress
Project description:T11 Target structure (T11TS), a membrane glycoprotein isolated from sheep erythrocytes, reverses the immune suppressed state of brain tumor induced animals by boosting the functional status of the immune cells. This study aims at aiding in the design of more efficacious brain tumor therapies with T11 target structure. We propose a mathematical model for brain tumor (glioma) and the immune system interactions, which aims in designing efficacious brain tumor therapy. The model encompasses considerations of the interactive dynamics of glioma cells, macrophages, cytotoxic T-lymphocytes (CD8(+) T-cells), TGF-β, IFN-γ and the T11TS. The system undergoes sensitivity analysis, that determines which state variables are sensitive to the given parameters and the parameters are estimated from the published data. Computer simulations were used for model verification and validation, which highlight the importance of T11 target structure in brain tumor therapy.
2020-01-09 | MODEL1912090003 | BioModels