Project description:DNA methylation analysis was perfomed using Infinium EPIC Methylation BeadChip platform on 29 patient samples. Resulting .idat files were then uploaded to the molecularneuropathology.org classifier to obtain molecular subgroup and copy number variance. This data was further assigned to medulloblastoma subtypes by Martin Sill (DFKZ, Heidelberg, Germany).
Project description:These methylation arrays were performed as part of a project aiming to integrate quantitative proteomic, gene expression and epigenetic data from the childhood brain tumor medulloblastoma.
Project description:We explore cellular heterogeneity in 28 childhood medulloblastoma (MB) (1 WNT, 9 SHH, 7 GP3 and 11 GP4) using single-cell RNA sequencing (scRNA-seq), immunohistochemistry and deconvolution of bulk transcriptomic data. Neoplastic cells are broadly clustered according to subgroup, and within subgroups discrete sample clustering is associated with chromosomal copy number variance. Each subgroup contains subpopulations exhibiting mitotic , undifferentiated and neuronal differentiated transcript profiles , corroborating other recent medulloblastoma scRNA-seq studies and identifying new subpopulations. We identify a photoreceptor-differentiated subpopulation that is predominantly found in GP3 medulloblastoma, and in SHH, a subpopulation that constitutes differentiating nodules . Deconvolution of a large transcriptomic dataset shows that neoplastic subpopulations are associated with major and minor subgroup subdivisions, for example, photoreceptor subpopulation cells are more abundant in GP3-alpha. This scRNA-seq dataset also demonstrates medulloblastoma subgroup-specific differences in the tumor microenvironment and immune landscape, and reveals an SHH nodule -associated myeloid subpopulation. Additionally, we perform scRNA-seq on genetically engineered mouse (GEM) models of GP3 and SHH medulloblastoma. These models specifically matched the corresponding human subgroup-specific neoplastic subpopulations. We provide an interactive online resource that facilitates exploration of these MB single cell datasets. Collectively, our findings advance our understanding of the neoplastic and immune landscape of the main medulloblastoma subgroups in both humans and GEM models.
Project description:DNA methylation analysis was perfomed using Infinium EPIC Methylation BeadChip platform on 65 PFA ependymoma patient samples. Resulting .idat files were then uploaded to the molecularneuropathology.org classifier to obtain molecular subgroup and copy number variance. Idat files were batch normalized and background corrected using default settings of the R package ChAMP to obtain GpG methylation beta values for analysis of differentially methylated GpG regions.
Project description:KDM5A/LSD1 is an important epigenetic regulator in medulloblastoma, the most frequent brain tumor of childhood. Here, the response of ONS76 medulloblastoma cells upon siRNA-mediated knockdown of KDM5A is analysed. The expression profile of ONS76 cells upon KDM5A knockdown was compared to mock control. Both conditions were run in triplicate.