Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Spatial single cell RNA profiles from medulloblastoma tumors with extensive nodularity

ABSTRACT: Medulloblastoma with extensive nodularity (MBEN) are cerebellar tumors with two histologically distinct compartments and varying disease course. We invetiagated this tumor class in detail with single cell transcriptome analysis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE247736 | GEO | 2023/11/15

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Single nuclei RNA-seq profiles from medulloblastoma tumors with extensive nodularity [scRNA-Seq]

Project description:Medulloblastoma with extensive nodularity (MBEN) are cerebellar tumors with two histologically distinct compartments and varying disease course. We invetiagated this tumor class in detail with single cell transcriptome analysis.

2023-10-26 | GSE214357 | GEO

Single nuclei RNA-seq profiles from medulloblastoma tumors with extensive nodularity [methylation array]

Project description:Medulloblastoma with extensive nodularity (MBEN) are cerebellar tumors with two histologically distinct compartments and varying disease course. We investigated this tumor class in detail with single cell transcriptome analysis confirmed with inter-nodular microdissected bulk profiles.

2023-11-15 | GSE247741 | GEO

Single nuclei RNA-seq profiles from medulloblastoma tumors with extensive nodularity [bulk RNA-Seq]

2023-10-26 | GSE239853 | GEO

Developmental Basis of SHH Medulloblastoma Heterogeneity

Project description:Single-Nucleus RNA-Sequencing and Single-Cell RNA-Sequencing from SHH Medulloblastoma Tumors with MBEN histology

2023-11-21 | GSE214469 | GEO

Spatial single cell RNA profiles from medulloblastoma tumors with extensive nodularity

Project description:Spatial single cell RNA profiles from medulloblastoma tumors with extensive nodularity

| PRJNA1040228 | ENA

Compartments in medulloblastoma with extensive nodularity are connected through differentiation along the granular precursor lineage.

Project description:Medulloblastomas with extensive nodularity are cerebellar tumors characterized by two distinct compartments and variable disease progression. The mechanisms governing the balance between proliferation and differentiation in MBEN remain poorly understood. Here, we employ a multi-modal single cell transcriptome analysis to dissect this process. In the internodular compartment, we identify proliferating cerebellar granular neuronal precursor-like malignant cells, along with stromal, vascular, and immune cells. In contrast, the nodular compartment comprises postmitotic, neuronally differentiated malignant cells. Both compartments are connected through an intermediate cell stage resembling actively migrating CGNPs. Notably, we also discover astrocytic-like malignant cells, found in proximity to migrating and differentiated cells at the transition zone between the two compartments. Our study sheds light on the spatial tissue organization and its link to the developmental trajectory, resulting in a more benign tumor phenotype. This integrative approach holds promise to explore intercompartmental interactions in other cancers with varying histology.

| S-EPMC10774372 | biostudies-literature

Transcription profiling of mouse medulloblastoma

Project description:Dysregulatio of Hh signaling has been shown to be involved in the formation of human medulloblastoma. We generated a mouse model (CAGGS-CreER;R26-SmoM2) of Hh related tumors. We used microarray to profile gene expression in Hh induced mouse medulloblastoma and identified distinct classes of up-regulated or down-regulated genes during Hh dependent tumorigenesis . Experiment Overall Design: Medulloblastoma samples and adjacent wild type cerebellar tissue from CAGGS-CreER;R26-SmoM2 mice were isolated for RNA extraction and hybridization on Affymetrix microarrays.

2008-06-16 | E-GEOD-9299 | biostudies-arrayexpress

Single nuclei RNA-seq profiles from medulloblastoma tumors with extensive nodularity

Project description:Single nuclei RNA-seq profiles from medulloblastoma tumors with extensive nodularity

| PRJNA1001266 | ENA

Transcription profiling of mouse with Hedgehog-induced medulloblastoma reveals oncogenic Hedgehog signaling promotes medulloblastoma from lineage-restricted granule cell progenitors

Project description:Origins of the brain tumor, medulloblastoma, from stem cells or restricted pro-genitor cells are unclear. To investigate this, we activated oncogenic Hedgehog signaling in multipotent and lineage-restricted CNS progenitors. We observed that normal unipo-tent cerebellar granule neuron precursors (CGNP) derive from hGFAP+ and Olig2+ rhombic lip progenitors. Hedgehog activation in a spectrum of early and late stage CNS progenitors generated similar medulloblastomas, but not other brain cancers, indicating that acquisition of CGNP identity is essential for tumorigenesis. We show in human and mouse medulloblastoma that cells expressing the glia-associated markers Gfap and Olig2 are neoplastic and that they retain features of embryonic-type granule lineage progenitors. Thus, oncogenic Hedgehog signaling promotes medulloblastoma from lineage-restricted granule cell progenitors. Gene expression profiling of cerebellar tumors generated from various early and late stage CNS progenitor cells. Experiment Overall Design: Group comparisons with biological replicates

2008-10-21 | E-GEOD-11859 | biostudies-arrayexpress

Single cell RNA-seq analysis of medulloblastoma

Project description:Medulloblastoma is a malignant childhood cerebellar tumour comprised of distinct molecular subgroups. Whereas genomic characteristics of these subgroups are well defined, the extent to which cellular diversity underlies their divergent biology and clinical behaviour remains largely unexplored. We used single-cell transcriptomics to investigate intra- and inter-tumoural heterogeneity in twenty-five medulloblastomas spanning all molecular subgroups. WNT, SHH, and Group 3 tumours comprised subgroup-specific undifferentiated and differentiated neuronal-like malignant populations, whereas Group 4 tumours were exclusively comprised of differentiated neuronal-like neoplastic cells. SHH tumours closely resembled granule neurons of varying differentiation states that correlated with patient age. Group 3 and Group 4 tumours exhibited a developmental trajectory from primitive progenitor-like to more mature neuronal-like cells, whose relative proportions distinguished these subgroups. Cross-species transcriptomics defined distinct glutamatergic populations as putative cells-of-origin for SHH and Group 4 subtypes. Collectively, these data provide novel insights into the cellular and developmental states underlying subtype-specific medulloblastoma biology.

2019-07-30 | GSE119926 | 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