Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-nuclei RNA-seq of meningioma

ABSTRACT: We applied single-nuclei RNA-seq to meningioma samples across grades and methylation classes, in order to characterize features of meningioma heterogeneity across subgroups. We identified an overall decrease in myeloid cell proportions from grade 1 to grade 3 meningiomas, as well as a phenotypic shift from microglia-like cells towards a myeloid-derived proliferative macrophage phenotype.

ORGANISM(S): Homo sapiens

PROVIDER: GSE313693 | GEO | 2025/12/23

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Spatial transcriptomic profiling (Visium) of meningioma

Project description:We applied spatial transcriptomic profiling (10x Genomics Visium) to meningioma samples across grades and methylation classes, in order to characterize features of meningioma heterogeneity across subgroups. We identified an overall decrease in myeloid cell proportions from grade 1 to grade 3 meningiomas, as well as a phenotypic shift from microglia-like cells towards a myeloid-derived proliferative macrophage phenotype.

2025-12-23 | GSE313694 | GEO

Human primary meningioma vs. non-neoplastic adult meningeal tissue

Project description:Meningiomas are common brain tumors that are classified into three World Health Organization grades (Grade I: benign, Grade II: atypical and Grade III: malignant) and are molecularly ill-defined tumors. The purpose of this study was identify microRNA (miRNA) molecular signatures unique to the different grades of meningiomas correlating them to prognosis. We have used a miRNA expression microarray to show that meningiomas of all three grades fall into two main molecular groups designated “benign” and “malignant” meningiomas. While all typical meningiomas fall into the benign group and all anaplastic meningiomas fall into the malignant group, atypical meningiomas distribute into either one of these groups. We have identified a miRNA signature that distinguishes benign meningiomas from malignant meningiomas. We studied the gene expression profiles of 340 mammalian miRNAs in 37 primary meningioma tumors by means of DNA microarrays.

2011-01-02 | E-GEOD-19720 | biostudies-arrayexpress

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

Integrated proteomic, DNA methylation, and targeted Next Generation Sequencing reveals relevant heterogeneity in lower-grade meningioma and a new target in NF2 mutated meningiomas

Project description:Meningiomas, the most common primary brain tumours, are classified by the World Health Organization (WHO) into grades 1, 2, and 3. Some grade 1 tumours exhibit increased clinical aggressiveness with the biallelic mutation of Neurofibromatosis 2 (NF2) being the most frequent mutation reported. In our study, we analysed the most common driver mutations (NF2, AKT1, KLF4, and TRAF7) in meningioma by proteomics and genomics focussing on lower grade tumours. Our genomic data revealed co-occurrences of non-NF2 mutations in lower-grade meningiomas suggesting synergistic effects supporting tumour growth. NF2-/- meningiomas showed distinct proteomic clustering, with different mutations found in these clusters. Additionally, proteomics identified ANXA3 in NF2-/- meningioma and its role in proliferation was confirmed in grade1 and subsequently grade 3 tumours in vitro and with abolished growth when tested in meningioma mouse model. These findings highlight new targets in different meningioma backgrounds presenting ANXA3 as a potential therapeutic target for meningioma treatment.

2025-07-02 | PXD058653 | Pride

Integrated proteomic, DNA methylation, and targeted Next Generation Sequencing reveals relevant heterogeneity in lower-grade meningioma and a new target in NF2 mutated meningiomas

2025-07-02 | PXD058651 | Pride

Human primary meningioma vs. non-neoplastic adult meningeal tissue

2011-01-02 | GSE19720 | GEO

Genomic profiling of anaplastic meningioma identifies recurrent genetic alterations with relevance to lower-grade meningioma

Project description:Genomic profiling of anaplastic meningioma can inform prognostic gene level alterations in lower-grade meningiomas, potentially reflecting evolution of anaplastic meningioma from lowergrade precursor tumours. Larger scale studies in paired primary and recurrent meningiomas are warranted to unravel the evolutionary path to anaplastic meningiomas and prognostic genomic alterations in detail

2021-05-04 | GSE173825 | GEO

Proteomic analysis of meningioma of different grades identifies potential therapeutic targets and biomarkers

Project description:Meningiomas are common brain tumours arising from meningeal tissue. Despite the majority of them displaying benign features, they can cause mild to severe morbidity. The current main therapeutic approach is complete tumour resection commonly with adjunct radiation therapy. However, tumour location can hamper complete resection and chemotherapies are ineffective. In this study we aim to elucidate dysregulated pathways in meningioma pathogenesis and identify novel molecular targets by deciphering the proteome and phosphoproteome of different grades of meningiomas. Tumour lysates were collected from grade I, II and III frozemeningioma specimens and three normal healthy human meninges.

2019-01-07 | PXD007044 | Pride

Proteomic analysis of meningioma of different grades identifies potential therapeutic targets and biomarkers

Project description:Meningiomas are common brain tumours arising from meningeal tissue. Despite the majority of them displaying benign features, they can cause mild to severe morbidity. The current main therapeutic approach is complete tumour resection commonly with adjunct radiation therapy. However, tumour location can hamper complete resection and chemotherapies are ineffective. In this study we aim to elucidate dysregulated pathways in meningioma pathogenesis and identify novel molecular targets by deciphering the proteome and phosphoproteome of different grades of meningiomas. Tumour lysates were collected from grade I, II and III frozenmeningioma specimens and three normal healthy human meninges.

2019-01-02 | PXD007073 | Pride

Proteomic analysis of meningioma of different grades identifies potential therapeutic targets and biomarkers

Project description:Meningiomas are common brain tumours arising from meningeal tissue. Despite the majority of them displaying benign features, they can cause mild to severe morbidity. The current main therapeutic approach is complete tumour resection commonly with adjunct radiation therapy. However, tumour location can hamper complete resection and chemotherapies are ineffective. In this study we aim to elucidate dysregulated pathways in meningioma pathogenesis and identify novel molecular targets by deciphering the proteome and phosphoproteome of different grades of meningiomas. Tumour lysates were collected from grade I, II and III frozenmeningioma specimens and three normal healthy human meninges.

2019-01-02 | PXD007125 | Pride

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