Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single Cell RNA-seq of Glioblastoma Tumors and GBOs

ABSTRACT: Analysis of glioblastoma tissue and corresponding glioblastoma organoids by single cell RNA sequencing.

ORGANISM(S): Homo sapiens

PROVIDER: GSE141946 | GEO | 2019/12/26

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

RNA-seq of Glioblastoma Tumors and GBOs

Project description:Analysis of glioblastoma tissue and corresponding glioblastoma organoids by RNA sequencing.

2019-12-26 | GSE141945 | GEO

Exome-seq of Glioblastoma Tumors and GBOs

Project description:Analysis of glioblastoma tissue and corresponding glioblastoma organoids by Exome sequencing.

2019-12-26 | GSE141944 | GEO

Single cell RNA sequencing of three IDHwt glioblastoma patient tumors

Project description:Single cell RNA sequencing was performed to allow expression-based identification of tumor versus normal cells from glioblastoma patient specimens. Identified tumor cells were then analyzed to assess the expression tumor-cell specific expression of TRIM26, WWP2, and SOX2.

2021-09-25 | E-MTAB-9435 | biostudies-arrayexpress

Single Cell Spatial Analysis Reveals the Topology of Immunomodulatory Purinergic Signaling in Glioblastoma

Project description:Abstract from manuscript Glioblastoma develops an immunosuppressive microenvironment that fosters tumorigenesis and resistance to current therapeutic strategies. Here we use multiplexed tissue imaging and single-cell RNA-sequencing to characterize the composition, spatial organization, and clinical significance of extracellular purinergic signaling in glioblastoma. We show that glioblastoma exhibit strong expression of CD39 and CD73 ectoenzymes, correlating with increased adenosine levels. Microglia are the predominant source of CD39, while CD73 is principally expressed by tumor cells, particularly in tumors with amplification of EGFR and astrocyte-like differentiation. Spatially-resolved single-cell analyses demonstrate strong spatial correlation between tumor CD73 and microglial CD39, and that their spatial proximity is associated with poor clinical outcomes. Together, this data reveals that tumor CD73 expression correlates with tumor genotype, lineage differentiation, and functional states, and that core purine regulatory enzymes expressed by neoplastic and tumor-associated myeloid cells interact to promote a distinctive adenosine-rich signaling niche and immunosuppressive microenvironment potentially amenable to therapeutic targeting.

2022-06-27 | ST002203 | MetabolomicsWorkbench

Single cell RNA sequencing of three IDHwt glioblastoma patient tumors

Project description:Single cell RNA sequencing of three IDHwt glioblastoma patient tumors

| PRJEB47680 | ENA

Single Cell RNA-seq of Glioblastoma Tumors and GBOs

Project description:Single Cell RNA-seq of Glioblastoma Tumors and GBOs

| PRJNA595364 | ENA

Placental infection single-cell and single-nuclei maps

Project description:This resource comprises a single-cell multi-lineage map of first trimester infected placental cells. We have included data from both uninfected cells and cells infected with three pathogens known to cause maternal and fetal disorders: Plasmodium falciparum, Listeria monocytogenes, and Toxoplasma gondii. We also generated single-nuclei map of infected trophoblasts and their corresponding controls. Furthermore, we created a single-nuclei reference dataset containing information from uninfected primary placental organoids as well as organoids infected with P. falciparum. Additionally, we conducted sequencing at a single-cell level for P. falciparum parasites that were bound to the placenta (pf_b), parasites unbound to the placenta (pf_nb), and parasites that were cultured in vitro (pf_iv).

2024-03-01 | E-MTAB-12795 | biostudies-arrayexpress

Single cell RNA sequencing of human primary glioblastoma

Project description:Single cell RNA sequencing of human primary glioblastoma

| PRJNA1131103 | ENA

Single-cell RNA-seq characterization of glioblastoma

Project description:Single-cell RNA-seq characterization of glioblastoma

| PRJNA929553 | ENA

Single-cell RNA sequencing analysis of mouse normal brain and GBM tumors

Project description:To investigate the transcriotome in glioblastoma tumor and normal brain on a single cell level, we performed RNA sequcening analysis with single cells derived from mouse normal brain tissue or GBM tumor tissue. Particularly, vascular endothelial cells (ECs) were traced using a Cdh5-Cre;LSL-tdTomato system.

2023-02-17 | GSE199379 | 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