Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression data from human glioma samples

ABSTRACT: We used microarrays to determine the gene expression profile of different types of glioma Keywords: Disease state analysis

ORGANISM(S): Homo sapiens

PROVIDER: GSE12657 | GEO | 2008/09/09

SECONDARY ACCESSION(S): PRJNA113065

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcription profiling of human glioma samples

Project description:We used microarrays to determine the gene expression profile of different types of glioma Experiment Overall Design: Histologically identified glioma-subtypes were selected for RNA extraction and hybridization on Affymetrix microarrays (HG-U95A)

2008-10-25 | E-GEOD-12657 | biostudies-arrayexpress

Expression data from glioma patient

Project description:Multicentric lesions constitute an increasingly diagnosed subgroup of glioblastoma (GBM) and are more malignant than that of solitary GBM. Understanding their biology is necessary and urgent for glioma patient treatment. However, molecular basis of these lesions are poorly characterized. We used microarrays to determine the gene expression profiling of three lesions from one multicentric GBM.

2019-03-31 | GSE79772 | GEO

Whole genome expression profile of 120 human glioma samples

Project description:We performed whole genome expression profile for 120 human glioma samples to explore significantly aberrantly expressed genes.

2013-11-07 | GSE52009 | GEO

ChIP-seq data for Glioma

Project description:We profiled glioma samples to determine the histone modifications relative to different molecular markers, as well as different germline alterations.

2022-09-22 | GSE167804 | GEO

RNA-seq data for Glioma

Project description:We profiled glioma samples to determine the RNA expression patterns relative to different molecular markers, as well as different germline alterations.

2022-09-22 | GSE167805 | GEO

Expression data from glioma patients

Project description:We used microarrays to select the genes associated glioma patients survival. This study aimed to define genes associated with survival. Expression profiling was performed on 50 gliomas. A gene classifier was developed. Fifty glioma patients were selected for RNA extraction and hybridization on Affymetrix microarrays.

2016-01-08 | E-GEOD-43378 | biostudies-arrayexpress

Expression data from glioma patients

2016-01-08 | GSE43378 | GEO

Expression profiling of primary glioma samples

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

Expression profile of 285 ovarian tumour samples

Project description:We used microarrays to profile the expression levels of 285 ovarian samples in order to identify molecular subtypes of the tumour Keywords: disease state analysis

2008-03-01 | GSE9891 | GEO

Expression data from glioma cells exposed to interferon (IFN)-beta

Project description:Glioma cells are sensitized to the alkylator temozolomide after exposure to IFN-beta. In glioma-initiating cells (GIC), IFN-beta alone reduces clonogenicity. We investigated differentially expressed genes with or without IFN exposure in either longterm glioma cells or GIC. We used microarrays to investigate differential gene regulation in glioma cells after exposure to either ddH20 or IFN-beta 300 IU/ml at 6 h or 24 h.

2014-03-31 | GSE53213 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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