Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Microenvironmental-derived Regulation of HIF-Signaling Drives Transcriptional Heterogeneity in Glioblastoma Multiforme

ABSTRACT: Microenvironmental-derived Regulation of HIF-Signaling Drives Transcriptional Heterogeneity in Glioblastoma Multiforme

PROVIDER: PRJNA422221 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Microenvironmental-derived Regulation of HIF-Signaling Drives Transcriptional Heterogeneity in Glioblastoma Multiforme

Project description:The evolving and highly heterogeneous nature of malignant brain tumors underlies their limited response to therapy and poor prognosis. In addition to genetic alterations, highly dynamic processes such as transcriptional and metabolic reprograming play an important role in the development of tumor heterogeneity. The present study reports an adaptive mechanism in which the metabolic environment of malignant glioma drives transcriptional reprogramming. Multi-regional analysis of a glioblastoma patient biopsy revealed a metabolic landscape marked by varying stages of hypoxia and creatine enrichment. Creatine treatment and metabolism was further shown to promote a synergistic effect through up-regulation of the glycine-cleavage system and chemical regulation of Prolyl-Hydroxylase Domain (PHD). Consequently, creatine maintained a reduction of reactive oxygen species and change of the a-ketoglutarate/succinate ratio leading to an inhibition of the HIF-signaling in primary tumor cell lines. These effects shifted the transcriptional pattern toward a proneural subtype and reduced the rate of cell migration and invasion in vitro.

2017-12-14 | GSE108013 | GEO

INC280 Combined With Bevacizumab in Patients With Glioblastoma Multiforme

Project description:The purpose of this study is to determine whether the combination of two agents, INC280 and bevacizumab, is safe and effective when administered to patients with Glioblastoma Multiforme (GBM) who have progressed after receiving prior therapy or who have unresectable GBM.

| 2185625 | ecrin-mdr-crc

Human Glioblastoma Multiforme Tissue Proteome

Project description:Quantitative analysis of human glioblastoma multiforme (GBM) using Tandem Mass Tags (TMT) reagent. Mass spectra comprised with global proteome and phosphoproteome with standard channel.

2020-07-06 | PXD015545 | Pride

caArray_gabri-00003: TCGA Analysis of RNA Expression for Glioblastoma Multiforme

Project description:TCGA Analysis of RNA Expression for Glioblastoma Multiforme Using Affymetrix HT_HG-U133A gabri-00003 Assay Type: Gene Expression Provider: Affymetrix Array Designs: HT_HG-U133A Organism: Homo sapiens (ncbitax) Tissue Sites: Brain Material Types: synthetic_RNA, organism_part, solid_tumor, total_RNA, cell Disease States: GLIOBLASTOMA MULTIFORME, NOT SPECIFIED

2015-05-14 | E-GEOD-68850 | biostudies-arrayexpress

Dendritic Cell Vaccine against Glioblastoma Multiforme Patients

Project description:Human Glioblastoma Multiforme tumors taken before dendritic cell vaccination, the recurrent tumors taken after vaccination and control GBM tumors from non vaccinated patients. Keywords: Disease State Analysis

2009-04-03 | GSE11100 | GEO

caArray_gabri-00003: TCGA Analysis of RNA Expression for Glioblastoma Multiforme

Project description:TCGA Analysis of RNA Expression for Glioblastoma Multiforme Using Affymetrix HT_HG-U133A

2015-05-14 | GSE68850 | GEO

caArray_liu-00251: TCGA Analysis of RNA Expression for Glioblastoma Multiforme

Project description:TCGA Analysis of RNA Expression for Glioblastoma Multiforme Using Affymetrix HT_HG-U133A

2016-05-27 | GSE81934 | GEO

Copy number analysis of human glioblastoma multiforme

Project description:Copy number analysis of human GBM samples were performed, and a high frequency of deletions of the PTPRD gene on chromosome 9p23-24.1 were identified. Keywords: SNP microarray, glioblastoma multiforme, copy number, amplification, deletion

2009-01-05 | GSE13021 | GEO

Identification of hypoxia regulated HIF-1A and HIF-2A specific target genes in Glioblastoma

Project description:HIF-1A and HIF-2A regulate both overlapping and unique target genes in response to hypoxia. In this dataset, we identify specific HIF-1A and HIF-2A target genes in glioblastoma cells. 12 samples were analysed comprising 4 experimental conditions (normoxia scr, hypoxia scr, hypoxia siHIF1, hypoxia siHIF2) in triplicate. We made pairwise comparisons between the averages of each triplicate set to normoxia scr using the Partek suite.

2012-02-25 | E-GEOD-27523 | biostudies-arrayexpress

Identification of hypoxia regulated HIF-1A and HIF-2A specific target genes in Glioblastoma

2012-02-25 | GSE27523 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data