Similar Datasets
Project description:Analysis of glioblastoma tissue and corresponding glioblastoma organoids by single cell RNA sequencing.
2019-12-26 | GSE141946 | GEO
Project description:Analysis of glioblastoma tissue and corresponding glioblastoma organoids by Exome sequencing.
2019-12-26 | GSE141944 | GEO
Project description:Background: Newer 3D culturing approaches are a promising way to better mimic the in vivo tumor microenvironment and to study the interactions between the heterogeneous cell populations of glioblastoma multiforme. Like many other tumors, glioblastoma uses extracellular vesicles as an intercellular communication system to prepare surrounding tissue for invasive tumor growth. However, little is known about the effects of 3D culture on extracellular vesicles. The aim of this study was to comprehensively characterise extracellular vesicles in 3D organoid models and compare them to conventional 2D cell culture systems.Methods: Primary glioblastoma cells were cultured as 2D and 3D organoid models. Extracellular vesicles were obtained by precipitation and immunoaffinity, with the latter allowing targeted isolation of the CD9/CD63/CD81 vesicle subpopulation. Comprehensive vesicle characterisation was performed and miRNA expression profiles were generated by smallRNA-sequencing. In silico analysis of differentially regulated miRNAs was performed to identify mRNA targets and corresponding signaling pathways. The tumor cell media and extracellular vesicle proteome were analysed by high-resolution mass spectrometry.Results: We observed an increased concentration of extracellular vesicles in 3D organoid cultures. Differential gene expression analysis further revealed the regulation of twelve miRNAs in 3D tumor organoid cultures (with nine miRNAs down and three miRNAs upregulated). MiR-23a-3p, known to be involved in glioblastoma invasion, was significantly increased in 3D. MiR-7-5p, which counteracts glioblastoma malignancy, was significantly decreased. Moreover, we identified four miRNAs (miR- 323a-3p, miR-382-5p, miR-370-3p, miR-134-5p) located within the DLK1-DIO3 domain, a cancer associated genomic region, suggesting a possible importance of this region in glioblastoma progression. Overrepresentation analysis identified alterations of extracellular vesicle cargo in 3D organoids, including representation of several miRNA targets and proteins primarily implicated in the immune response.Conclusion: Our results show that 3D glioblastoma organoid models secrete extracellular vesicles with an altered cargo compared to corresponding conventional 2D cultures. Extracellular vesicles from 3D cultures were found to contain signaling molecules associated with the immune regulatory signaling pathways and as such could potentially change the surrounding microenvironment towards tumor progression and immunosuppressive conditions. These findings suggest the use of 3D glioblastoma models for further clinical biomarker studies as well as investigation of new therapeutic options.
2024-04-09 | PXD047328 | Pride
Project description:RNA-seq of Glioblastoma Tumors and GBOs
| PRJNA595365 | ENA
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
Project description:Glioblastoma is characterized by heterogeneous malignant cells that are functionally integrated within the neuroglial microenvironment. Here, we model this ecosystem by growing glioblastoma into long-term cultured human cortical organoids that contain the major neuroglial cell types found in the cerebral cortex. Single-cell RNA-seq analysis suggests that, compared to matched gliomasphere models, glioblastoma cortical organoids (GCO) more faithfully recapitulate the diversity and expression programs of malignant cell states found in patient tumors. Additionally, we observe widespread transfer of glioblastoma transcripts and GFP proteins to non-malignant cells in the organoids. Mechanistically, this transfer involves extracellular vesicles and is biased towards defined glioblastoma cell states and astroglia cell types. These results extend previous glioblastoma-organoid modeling efforts and suggest widespread intercellular transfer in the glioblastoma neuroglial microenvironment.
2024-10-01 | GSE276838 | GEO
Project description:We compared a large panel of human glioblastoma stem-like (GS) cell lines, corresponding primary tumors and conventional glioma cell lines to identify cell lines that preserve the transcriptome of human glioblastomas most closely, thereby allowing identification of shared therapeutic targets. We used Affymetrix HG-U133 Plus 2.0 microarrays to compare human glioblastoma stem-like (GS) cell lines, corresponding primary tumors and conventional glioma cell lines.
2011-02-12 | GSE23806 | GEO
Project description:It is currently challenging to adequately model the growth and migration of glioblastoma using 2D in vitro culture systems as they quickly lose the original, patient-specific identity and heterogeneity. However, with the advent of 3D cell cultures and human induced pluripotent stem cells (iPSCs)-derived cerebral organoids (COs), studies demonstrate that the glioblastoma-cerebral organoid (GLICO) co-culture model helps to preserve the phenotype of the patient-specific tissue. Here we aimed to set up such a model using mature COs and develop a pipeline for subsequent analysis of co-cultured glioblastoma. Our data demonstrates that the growth and migration of the glioblastoma cell line within the mature COs are significantly increased in the presence of extracellular matrix proteins, shortening the time needed for glioblastoma to initiate migration. We also describe in detail the method for the visualization and quantification of these migrating cells within the GLICO model. Lastly, we show that this co-culture model (and the human brain-like microenvironment) can significantly transform the gene expression profile of the established U87 glioblastoma cell line into proneural and classical glioblastoma cell types.
2023-02-22 | GSE216626 | GEO
Project description:Glioblastoma is a grade IV glioma of heterogeneous nature which complicates disease pathophysiology and biomarker research. Thus, the aim of our meta-analysis is to identify long noncoding RNAs (lncRNAs) and protein coding genes (PCGs) that are differentially expressed over different glioblastoma tissue datasets. Small RNA-seq of glioblastoma tissues was also performed to identify differentially expressed microRNAs (miRNAs) relative to paired controls.
2023-01-05 | GSE214252 | GEO