Whole genome expression profile of 120 human glioma samples
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Tao Jiang
PROVIDER: E-GEOD-52009 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:Genome wide DNA methylation profiling of 33 human glioblastoma samples. The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in glioma samples. Bisulphite converted DNA from the 33 glioblastoma samples were hybridised to the Illumina Infinium 27k Human Methylation Beadchip v1.2
2013-12-12 | E-GEOD-53228 | biostudies-arrayexpress
Project description:We performed whole genome expression profile for 120 human glioma samples to explore significantly aberrantly expressed genes.
2013-11-07 | GSE52009 | GEO
Project description:Gliomas are aggressive lethal solid brain tumors arising from support cells in the central nervous system. Despite intense efforts to optimize the treatment of gliomas, the outcomes of high grade glioma patients are still frustrating. The causes and progress of gliomas have been investigated extensively; however, the genetic factors involved in the development of this disease remain poorly understood. We used microarrays to detail the global program of gene expression in different grade glioma tissues and try to find out some genes associated with the tumorigenesis of gliomas. Grade I to grade IV glioma tissues were selected in surgical operations for RNA extraction and hybridization on Affymetrix microarrays. We sought to obtain gene expression profiles. To that end, we hand-selected several genes that were differentially expressed in different grade glioma tissues and then performed a further study to identify the role of these genes in the process of the development of gliomas.
2013-04-10 | E-GEOD-45921 | biostudies-arrayexpress
Project description:The paper describes a model of glioma.
Created by COPASI 4.26 (Build 213)
This model is described in the article:
A mathematical model of pre-diagnostic glioma growth
Marc Sturrock, Wenrui Hao, Judith Schwartzbaum, Grzegorz A. Rempala
J Theor Biol. 2015 September 7; 380: 299–308
Abstract:
Due to their location, the malignant gliomas of the brain in humans are very difficult to treat in advanced stages. Blood-based biomarkers for glioma are needed for more accurate evaluation of treatment response as well as early diagnosis. However, biomarker research in primary brain tumors is challenging given their relative rarity and genetic diversity. It is further complicated by variations in the permeability of the blood brain barrier that affects the amount of marker released into the bloodstream. Inspired by recent temporal data indicating a possible decrease in serum glucose levels in patients with gliomas yet to be diagnosed, we present an ordinary differential equation model to capture early stage glioma growth. The model contains glioma-glucose-immune interactions and poses a potential mechanism by which this glucose drop can be explained. We present numerical simulations, parameter sensitivity analysis, linear stability analysis and a numerical experiment whereby we show how a dormant glioma can become malignant.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2019-08-20 | BIOMD0000000801 | BioModels
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2013-12-12 | E-GEOD-53229 | biostudies-arrayexpress
Project description:Background: Signaling by receptor tyrosine kinases (RTK) is frequently dysregulated in gliomas. Inter-individual variability in the causes for dysregulated RTK signaling may have hampered the efficacy of targeted therapies. Using gene expression modules around key regulators in the RAS-RAF-MEK-MAPK cascade and in the phosphatidylinositol 3-kinase-AKT pathways, we developed a âRMPAâ clustering scheme to distinguish gliomas with varying extents of RTK signaling. Results: We identified gene modules consistently co-expressed with NF1 (NF1-M), Sprouty (SPRY-M) and PTEN (PTEN-M) in gliomas. Their signatures enabled robust clustering of adult diffuse gliomas of WHO grades II-IV into RMPAhigh and RMPAlow phenotypes in a morphology-independent manner. In five independent data sets from three continents containing more than 1500 adult diffuse gliomas, RMPAhigh gliomas were associated with poor prognosis while RMPAlow gliomas were not. The RMPAhigh and RMPAlow glioma subtypes showed distinct levels of the activities of RAS-RAF-MEK-MAPK cascade and PI3K-AKT pathway and harbored unique sets of genomic alterations in the RTK signaling-related genes. The RMPAhigh gliomas contained large numbers of immature vessel cells and tumor associated macrophages and both cell types expressed high levels of pro-angiogenic RTKs including MET, VEGFR1, KDR, EPHB4 and NRP1. Conclusion: Inter-glioma variability in RTK signaling activities can be defined using the RMPA clustering scheme. The combined signatures of NF1-M, SPRY-M and PTEN-M reflect RTK signaling activity both in the glioma cells and in the glioma microenvironment. Our data show that RTK signaling in the glioma microenvironment may play a pivotal role in glioma progression. Transcriptome data from 22 fresh gliomas (2 astrocytoma II, 1 oligodendrocytoma II, 7 oligoastrocytoma II, 4 anaplastic oligoastrocytoma III and 8 GBM) were obtained using Affymetrix Human Gene 1.0 ST Array. Unsupervised hierarchical clustering of the expression data for the SPRY-M, NF1-M and PTEN-M was performed on these transcriptome data to identify samples with RMPAhigh or RMPAlow signature.
2015-10-30 | E-GEOD-74462 | biostudies-arrayexpress
Project description:Mutations in isocitrate dehydrogenase 1 or 2 (IDH1/2) define glioma subtypes and are 38 considered primary events in gliomagenesis, impacting tumor epigenetics and metabolism. 39 IDH enzymes are crucial for the generation of reducing potential, yet the impact of the mutation 40 on the cellular antioxidant system is not understood. Here, we investigate how glutathione 41 (GSH) levels are maintained in IDH1 mutant gliomas, despite an altered NADPH/NADP 42 balance. We find that IDH1 mutant astrocytomas specifically upregulate cystathionine γ-lyase 43 (CSE), the enzyme responsible for cysteine production upstream of GSH biosynthesis. Genetic 44 and chemical interference with CSE in patient-derived glioma cells carrying the endogenous 45 IDH1 mutation, sensitized tumor cells to cysteine depletion, an effect not observed in IDH1 46 wild-type gliomas. This correlated with reduced GSH synthesis as shown by in vitro and in vivo 47 serine tracing and led to delayed tumor growth in mice. Thus we show that IDH1 mutant 48 astrocytic gliomas critically rely on NADPH-independent de novo GSH synthesis to maintain 49 the antioxidant defense, which uncovers a novel metabolic vulnerability in this dismal disease.
2021-11-25 | PXD022752 | Pride
Project description:Malignant gliomas represent the most devastating group of brain tumors in adults, among which glioblastoma multiforme (GBM) exhibits the highest malignancy rate. Despite combined modality treatment, GBM recurs and is invariably fatal. A further insight into molecular background of gliomagenesis is required to improve patient outcome. The first aim of this study was to gain broad information on miRNA expression pattern in malignant gliomas, mainly GBM. We investigated the global miRNA profile of malignant glioma tissues by means of miRNA microarrays, deep sequencing and meta-analysis. We selected miRNAs the most frequently deregulated in glioblastoma tissues as well as peritumoral brain areas in comparison to normal human brain. We found candidate miRNAs contributing to progression from gliomas grade III to gliomas grade IV. The meta-analysis of miRNA profiling studies in GBM tissues summarizes the past and recent advances in an investigation of miRNA signature in GBM versus noncancerous human brain and provides a comprehensive overview. We proposed a set of 35 miRNAs which expression is the most frequently deregulated in GBM patients and 30 miRNA candidates recognized as novel GBM biomarkers. miRNA expression profile in the adult malignant gliomas, glioma peritumoral tissues and normal human brain.
2014-09-26 | E-GEOD-61710 | biostudies-arrayexpress
Project description:Background: Signaling by receptor tyrosine kinases (RTK) is frequently dysregulated in gliomas. Inter-individual variability in the causes for dysregulated RTK signaling may have hampered the efficacy of targeted therapies. Using gene expression modules around key regulators in the RAS-RAF-MEK-MAPK cascade and in the phosphatidylinositol 3-kinase-AKT pathways, we developed a “RMPA” clustering scheme to distinguish gliomas with varying extents of RTK signaling. Results: We identified gene modules consistently co-expressed with NF1 (NF1-M), Sprouty (SPRY-M) and PTEN (PTEN-M) in gliomas. Their signatures enabled robust clustering of adult diffuse gliomas of WHO grades II-IV into RMPAhigh and RMPAlow phenotypes in a morphology-independent manner. In five independent data sets from three continents containing more than 1500 adult diffuse gliomas, RMPAhigh gliomas were associated with poor prognosis while RMPAlow gliomas were not. The RMPAhigh and RMPAlow glioma subtypes showed distinct levels of the activities of RAS-RAF-MEK-MAPK cascade and PI3K-AKT pathway and harbored unique sets of genomic alterations in the RTK signaling-related genes. The RMPAhigh gliomas contained large numbers of immature vessel cells and tumor associated macrophages and both cell types expressed high levels of pro-angiogenic RTKs including MET, VEGFR1, KDR, EPHB4 and NRP1. Conclusion: Inter-glioma variability in RTK signaling activities can be defined using the RMPA clustering scheme. The combined signatures of NF1-M, SPRY-M and PTEN-M reflect RTK signaling activity both in the glioma cells and in the glioma microenvironment. Our data show that RTK signaling in the glioma microenvironment may play a pivotal role in glioma progression.
2015-10-30 | GSE74462 | GEO
Project description:Gliomas are aggressive lethal solid brain tumors arising from support cells in the central nervous system. Despite intense efforts to optimize the treatment of gliomas, the outcomes of high grade glioma patients are still frustrating. The causes and progress of gliomas have been investigated extensively; however, the genetic factors involved in the development of this disease remain poorly understood. We used microarrays to detail the global program of gene expression in different grade glioma tissues and try to find out some genes associated with the tumorigenesis of gliomas.
2013-04-10 | GSE45921 | GEO