Proteogenomic landscape of medulloblastoma subgroups [SNP]
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ABSTRACT:
PROVIDER: PRJNA420381 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Proteogenomic landscape of medulloblastoma subgroups
| PRJNA420382 | ENA
Project description:Proteogenomic landscape of medulloblastoma subgroups [methylation]
| PRJNA413673 | ENA
Project description:Extensive high-throughput sequencing led to the characterization of four main medulloblastoma subgroups. However, to date these analyses have not attained a global comprehension of their dynamic network complexity. Wishing to get a comprehensive view of all medulloblastoma subgroups, we employed a proteomic analysis to integrate accurate protein activity. In this study we present the first analysis regrouping genomic and methylation status, whole-transcriptome sequencing and quantitative proteomics. First, our proteomic analysis clarified medulloblastoma subgroup identity. Second, analysis of proteome and phosphoproteome highlighted disregulated signalling pathways that have not been predicted by transcriptomic analysis. Altogether, combined multi-scale analyses of medulloblastoma have allowed us to identify and prioritize novel molecular drivers involved in human medulloblastoma.
2018-09-09 | GSE107508 | GEO
Project description:Extensive high-throughput sequencing led to the characterization of four main medulloblastoma subgroups. However, to date these analyses have not attained a global comprehension of their dynamic network complexity. Wishing to get a comprehensive view of all medulloblastoma subgroups, we employed a proteomic analysis to integrate accurate protein activity. In this study we present the first analysis regrouping genomic and methylation status, whole-transcriptome sequencing and quantitative proteomics. First, our proteomic analysis clarified medulloblastoma subgroup identity. Second, analysis of proteome and phosphoproteome highlighted disregulated signalling pathways that have not been predicted by transcriptomic analysis. Altogether, combined multi-scale analyses of medulloblastoma have allowed us to identify and prioritize novel molecular drivers involved in human medulloblastoma.
2018-09-09 | GSE104728 | GEO
Project description:Proteogenomic Analysis of Medulloblastoma
| PRJNA430801 | ENA
Project description:In order to investigate medulloblastoma biology via its proteome, we undertook a super-SILAC quantitative proteomics survey using 41 clinical tissue samples spanning the 4 genomic subgroups and control cerebellum
2018-06-10 | PXD008750 | Pride
Project description:Proteogenomic Analysis of Medulloblastoma [methylation array]
| PRJNA430807 | ENA
Project description:Medulloblastoma is a malignant childhood brain tumour comprising four discrete subgroups. To identify mutations that drive medulloblastoma we sequenced the entire genomes of 37 tumours and matched normal blood. One hundred and thirty-six genes harbouring somatic mutations in this discovery set were sequenced in an additional 56 medulloblastomas. Recurrent mutations were detected in 41 genes not yet implicated in medulloblastoma: several target distinct components of the epigenetic machinery in different disease subgroups, e.g., regulators of H3K27 and H3K4 trimethylation in subgroup-3 and 4 (e.g., KDM6A and ZMYM3), and CTNNB1-associated chromatin remodellers in WNT-subgroup tumours (e.g., SMARCA4 and CREBBP). Modelling of mutations in mouse lower rhombic lip progenitors that generate WNT-subgroup tumours, identified genes that maintain this cell lineage (DDX3X) as well as mutated genes that initiate (CDH1) or cooperate (PIK3CA) in tumourigenesis. These data provide important new insights into the pathogenesis of medulloblastoma subgroups and highlight targets for therapeutic development. A total of 76 pediatric medulloblastoma samples were analyzed, representing 4 expression classes
2012-07-05 | E-GEOD-37418 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below.
2018-09-09 | GSE107511 | GEO
Project description:Medulloblastoma is a malignant childhood brain tumour comprising four discrete subgroups. To identify mutations that drive medulloblastoma we sequenced the entire genomes of 37 tumours and matched normal blood. One hundred and thirty-six genes harbouring somatic mutations in this discovery set were sequenced in an additional 56 medulloblastomas. Recurrent mutations were detected in 41 genes not yet implicated in medulloblastoma: several target distinct components of the epigenetic machinery in different disease subgroups, e.g., regulators of H3K27 and H3K4 trimethylation in subgroup-3 and 4 (e.g., KDM6A and ZMYM3), and CTNNB1-associated chromatin remodellers in WNT-subgroup tumours (e.g., SMARCA4 and CREBBP). Modelling of mutations in mouse lower rhombic lip progenitors that generate WNT-subgroup tumours, identified genes that maintain this cell lineage (DDX3X) as well as mutated genes that initiate (CDH1) or cooperate (PIK3CA) in tumourigenesis. These data provide important new insights into the pathogenesis of medulloblastoma subgroups and highlight targets for therapeutic development.
2012-07-06 | GSE37418 | GEO