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.
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.
