Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Meningioma methylation analysis.

ABSTRACT: Methylation analysis of meningioma samples. Genomic DNA isolated directly from fresh-frozen human meningioma specimens.

ORGANISM(S): Homo sapiens

PROVIDER: GSE180061 | GEO | 2021/07/14

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Meningioma methylation analysis

Project description:Methylation analysis of meningioma samples. Genomic DNA isolated directly from fresh-frozen human meningioma specimens.

2022-03-30 | GSE168726 | GEO

Meningioma methylation data

Project description:Methylation analysis of meningioma cases Genomic DNA isolated directly from human meningioma samples

2024-08-21 | GSE270371 | GEO

High grade glioma methylation analysis using bisulfite and oxidative bisulfite-treatment

Project description:Bisulfite and oxidative bisulfite treated sample methylation analysis of IDH1 mutant and wild-type high grade human gliomas, to profile 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC). Genomic DNA isolated directly from fresh-frozen human high grade glioma specimens.

2020-10-06 | GSE104723 | GEO

Multisite methylation profiling of primary human meningioma

Project description:Multiple stereotatically separate sites from human meningioma were processed for methlyation profiling Meningiomas are the most common primary intracranial tumors, but the molecular drivers of meningioma tumorigenesis are poorly understood. We hypothesized that investigating intratumor heterogeneity in meningiomas would elucidate biologic drivers and reveal new targets for molecular therapy. To test this hypothesis, we performed multiplatform molecular profiling of 86 spatially-distinct samples from 13 human meningiomas. Our data reveal that regional alterations in chromosome structure underlie clonal transcriptomic, epigenomic, and histopathologic signatures in meningioma. Stereotactic co-registration of sample coordinates to preoperative magnetic resonance images further demonstrated that high apparent diffusion coefficient (ADC) distinguished meningioma regions with proliferating cells enriched for developmental gene expression programs. To understand the function of these genes in meningioma, we developed a human cerebral organoid model of meningioma and validated the high ADC marker genes CDH2 and PTPRZ1 as potential targets for meningioma therapy using live imaging, single cell RNA sequencing, CRISPR interference, and pharmacology.

2020-06-17 | GSE151067 | 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

Global proteomic profiles of meningioma tissues reveal proteogenomic subtypes

Project description:Fresh-frozen meningioma tissues of varying WHO grades were analyzed by shotgun DDA proteomics. The proteomic profiles were compared and reflected a set of new clinical subtypes derived from genomic, epigenomic and transcriptomic data which improved risk stratification.

2021-02-18 | MSV000086901 | MassIVE

Meningioma methylation analysis.

Project description:Meningioma methylation analysis.

| PRJNA746393 | ENA

Meningioma methylation data

Project description:Meningioma methylation data

| PRJNA1126297 | ENA

Meningioma methylation analysis

Project description:Meningioma methylation analysis

| PRJNA713787 | ENA

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

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