Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Epigenomic profiling of patient-derived GBM cell lines obtained from GBM patient surgical samples (HGCC resource)

ABSTRACT: The recent incorporation of molecular features into the diagnosis of Glioblastoma Multiforme patients has led to an improved categorisation into different tumour subtypes with different prognosis and disease management. In this work, we have exploited the benefits of genome-wide multiomic approaches to identify potential molecular vulnerabilities existing on GBM patients. We used the Illumina MethylationEPIC Beadchip platform to describe the genome-wide 5mC and 5hmC DNA methylation landscape of a total of 9 patient-derived Glioblastoma Multiforme Cell lines obtained from the human glioblastoma cell culture resource (HGCC) and 4 brain samples obtained from non-tumoral controls

ORGANISM(S): Homo sapiens

SUBMITTER: Mario Fraga F.

PROVIDER: E-MTAB-12473 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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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.

Project description:Glioblastoma multiforme is the most common and most aggressive type of primary brain tumor. The brain-infiltrative character of glioblastoma makes complete surgical removal of the tumor impossible and neither radiation nor current chemotherapy provide cure. Recent evidence shows that glioblastoma multiforme consists of heterogeneous cell populations which differ in tumor-forming potential. Enriched tumor-initiating capacity has been linked to poorly differentiated glioblastoma cells sharing features with neural stem cells. Thus, these cells are important targets for new therapeutic strategies. We aim to identify novel targets controlling maintenance and differentiation in glioblastoma-initiating cells through high throughput screening. To this end, we utilized libraries of small chemical compounds and small interference RNAs in combination with automated imaging and data analysis. Patient-derived glioblastoma cells were expanded and characterized using neural stem cell conditions. In culture, the cells showed low differentiation but expression of neural stem cell markers such as Nestin and Sox2. Upon intracranial injection into SCID mice these cells gave rise to tumors displaying the hallmarks of the human disease. Differentiation of glioblastoma-initiating cells (for example elicited through bone morphogenetic protein, BMP) was associated with strong morphological changes. Hence, cellular morphology, as well as markers specific for differentiation or death were used as screen readout. Lentiviral RNA interference-based screening yielded several gene knockdowns leading to ‘forced’ differentiation of glioblastoma-initiating cells. For example, knockdown of TRRAP (transformation/transcription domain associated protein) led to strongly increased differentiation and loss of proliferative and self-renewing capacity in these cells. TRRAP is an adapter protein implicated in oncogenic transformation through c-MYC transcription activation, also participating in chromatin remodeling and DNA repair. Glioblastoma-initiating cells with reduced TRRAP displayed increased apoptosis upon treatment with the genotoxic agent temozolomide. In vivo, Trapp knockdown cells were not able to give rise to glioblastoma upon transplantation into the brain of SCID mice. Together, these findings support a crucial role for TRRAP in maintenance and tumorigenicity of glioblastoma-initiating cells and might offer future therapeutic options. Two treatments compared to control: two different shRNA sequences for TRRAP were compared to a control shRNA sequence in their effects on global transcription in brain tumor initiating cells

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Epigenomic profiling of patient-derived GBM cell lines obtained from GBM patient surgical samples (HGCC resource)

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