Single RNA-Seq on GBM cells from human GBM sample
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA820777 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Glioblastoma multiforme (GBM), a highly malignant and heterogeneous brain tumor, contains various types of tumor and non-tumor cells. Whether GBM cells can trans-differentiate into non-neural cell types, including mural cells or endothelial cells, to support tumor growth and invasion remains controversial. Here we generated two genetic GBM models de novo in immunocompetent mouse brains, mimicking essential pathological and molecular features of human GBMs. Single-cell RNA sequencing showed that patterns of copy-number variations (CNVs) of mural cells and endothelial cells were distinct from those of GBM cells, indicating discrete origins of GBM cells and vascular components. Furthermore, lineage tracing and transplantation studies demonstrated that, although blood vessels in GBM brains underwent drastic remodeling, GBM cells did not give rise to non-neural cell types in the brain. Intriguingly, GBM cells could randomly express mesenchymal markers, including those for mural cells, during gliomagenesis. Most importantly, single-cell CNV analysis of human GBM specimens also strongly suggested that GBM cells and vascular cells are separate lineages. Instead, non-neural cell types expanded by proliferation during tumorigenesis. Therefore, cross-lineage trans-differentiation of GBM cells is very unlikely to occur during gliomagenesis. Our findings advance understanding of cell lineage dynamics during gliomagenesis, and have implications for targeted treatment of GBMs.
2022-07-07 | GSE190154 | GEO
Project description:Single RNA-Seq on GBM cells from NPCTKO mouse models
| PRJNA785996 | ENA
Project description:van Hijfte GBM dataset 2022/A (single-nucleus RNA-seq)
1x GBM
| EGAS00001006920 | EGA
Project description:Single-cell ATAC-Seq of Adult GBM surgical specimens
| PRJNA578617 | ENA
Project description:Glioblastoma multiforme (GBM), a highly malignant and heterogeneous brain tumor, contains various types of tumor and non-tumor cells. Whether GBM cells can trans-differentiate into non-neural cell types, including mural cells or endothelial cells, to support tumor growth and invasion remains controversial. Here we generated two genetic GBM models de novo in immunocompetent mouse brains, mimicking essential pathological and molecular features of human GBMs. Single-cell RNA sequencing showed that patterns of copy-number variations (CNVs) of mural cells and endothelial cells were distinct from those of GBM cells, indicating discrete origins of GBM cells and vascular components. Furthermore, lineage tracing and transplantation studies demonstrated that, although blood vessels in GBM brains underwent drastic remodeling, GBM cells did not give rise to non-neural cell types in the brain. Intriguingly, GBM cells could randomly express mesenchymal markers, including those for mural cells, during gliomagenesis. Most importantly, single-cell CNV analysis of human GBM specimens also strongly suggested that GBM cells and vascular cells are separate lineages. Instead, non-neural cell types expanded by proliferation during tumorigenesis. Therefore, cross-lineage trans-differentiation of GBM cells is very unlikely to occur during gliomagenesis. Our findings advance understanding of cell lineage dynamics during gliomagenesis, and have implications for targeted treatment of GBMs.
2022-07-07 | GSE189541 | GEO
Project description:Purpose: Investigate cellular heterogeneity in a fresh human ovarian cancer tissue sample Methods: Enzymatic digestion of fresh tissue sample collected from the operating room to produce single cell suspension. Cells were labelled with fluorescent antibodies to CD3, CD14, CD19, CD20, CD56 and FACS sorted to remove immune cells. The negative population was used for sequencing. Single cells were processed using the Fluidigm C1 Chip to generate barcoded cDNA for each cell. Amplifed cDNA was sequenced using an Illumina HiSeq 2500 machine. Results: Single cell RNA sequence data was obtained for 92 cells and a "bulk" sample of 1000 cells. 26 cells were removed from analysis due to quality control standards. The remaining 66 cells and the bulk sample were analyzed. Conclusion: Single cell RNA sequence analysis reveals heterogeneity in gene expression in cells harvested from a high grade ovarian serous cancer
2018-12-07 | GSE123476 | GEO
Project description:Glioblastoma (GBM) is the most common and malignant primary brain tumor. Although immunotherapy has shown promise in certain cancer types, it has not been effective against GBM, largely due to its highly immunosuppressive tumor microenvironment (TMEs), which is rich in tumor-associated macrophages/microglia (TAMs). TAMs in late-stage GBM contribute to T-cell exhaustion and worsen prognosis, but the role of TAMs in earlier stages of tumor development is unclear. By employing genetically engineered mouse models and human samples, we used spatiotemporal single-cell transcriptomics to investigate TAM evolution during GBM progression.
2023-09-06 | GSE241037 | GEO
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
Project description: Not available
| S-EPMC6837808 | biostudies-other