Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MiRNA and gene expression data from meningioma samples and healthy meningial cell line

ABSTRACT: miRNA and gene expression data from meningioma samples and healthy meningial cell line

PROVIDER: PRJNA348352 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

miRNA expression data from meningioma samples and healthy meningial cell line

Project description:Although meningioma is a common disease, there is a lack of understanding of the underlying molecular mechanisms behind its initiation and progression. We used combined miRNA-mRNA transcriptome analysis to discover novel genes and networks in meningiomas.

2017-02-01 | GSE88719 | GEO

Gene expression data from meningioma samples and healthy meningial cell line

2017-02-01 | GSE88720 | GEO

Affymetrix GeneChip miRNA 4.0 Array for meningioma recurrence profilling

Project description:Variability of meningioma growth, even within benign subgroup, makes some remain unaltered, while others grow fast despite an appended radiotherapy. Biomarkers that differentiate between less and more aggressive meningiomas would therefore have a significant clinical benefit in prediction of their biological behaviour. The aim of the study was to identify new candidate miRNAs enabling better and proper prediction of meningioma recurrence. We used miRNA 4.0 array (Applied Biosystems, Foster City, CA, USA) to detect miRNA profiles in 44 primary meningioma patients (19 with subsequent recurrence) and 5 healthy controls. Moreover, miRNA profiles were analyzed in 15 secondary meningiomas.

2019-02-15 | GSE126563 | GEO

MiRNA profiling of meningioma of different grades and histological subtypes

Project description:Although meningiomas are one of the most frequent primary intracranial tumors, there are only a few studies dealing with gene regulation processes in meningiomas. MiRNAs are key regulators of gene expression and regulation and miRNA profiles offer themselves as biomarkers for cancer development and progression. To investigate the role of miRNAs during meningioma growth and progression, we compared expression of 1205 miRNAs in 55 meningioma samples of different tumor grades and histological subtypes. We were able to classify histological subtypes in WHO grade I meningiomas with up to 97% accuracy (meningothelial versus fibroblastic) and different WHO grades with up to 93% accuracy (WHO I versus WHO III). We found significant downregulation of miRNAs on chromosome 1p36 and within two large miRNA clusters on 14q32 in high grade meningiomas, two regions that are yet associated with meningioma progression. We also identified several miRNAs associated with epithelial to mesenchymal transition differentially expressed in meningothelial meningioma compared to fibroblastic meningioma. Combined, our data show that meningiomas of different WHO grades and histological subtypes show a specific miRNA expression profile. Some individual miRNAs can also serve as potential biomarkers for meningioma progression.

2014-12-31 | GSE50641 | GEO

DNA methylation of human FFPE meningioma samples

Project description:DNA methylation profiling of human FFPE meningioma samples These samples were processed as part of a study developing and validating a targeted gene expression biomarker of meningioma outcomes and benefit from radiotherapy.

2023-09-06 | GSE221029 | GEO

miRNA and gene expression data from meningioma samples and healthy meningial cell line

Project description:This SuperSeries is composed of the SubSeries listed below.

2017-02-01 | GSE88721 | GEO

RNA-seq from human meningioma samples

Project description:We performed RNA-seq on 42 meningioma samples isolated from human patients to characterize the transcriptome of these tumors

2017-11-27 | GSE101638 | GEO

RNA Nanostring from human meningioma samples

Project description:RNA Nanostring from human meningioma samples This set of data pertains to RNA extracted from 2mm core punches from the representative FFPE blocks, on which a custom codeset was run.

2023-06-14 | GSE228433 | GEO

DNA methylation from human meningioma samples

Project description:DNA methylation from human meningioma samples that were also profiled for spatial heterogeneity analysis. Some samples represent spatially distinct regions, punched using a 2mm core punch from FFPE blocks in a given tumor. Other samples represent serial tumor samples at index treatment and then recurrence.

2023-06-14 | GSE228316 | GEO

Human meningioma culture

Project description:Comparison of the gene expression profiles with meningiomas of different grading. 24 primary meningioma cultures from surgical specimen were maintained to primary meningioma cultures.

2014-03-06 | E-GEOD-55609 | biostudies-arrayexpress

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