Proteomic profiling of high risk medulloblastoma reveals functional biology.

ABSTRACT: Genomic characterization of medulloblastoma has improved molecular risk classification but struggles to define functional biological processes, particularly for the most aggressive subgroups. We present here a novel proteomic approach to this problem using a reference library of stable isotope labeled medulloblastoma-specific proteins as a spike-in standard for accurate quantification of the tumor proteome. Utilizing high-resolution mass spectrometry, we quantified the tumor proteome of group 3 medulloblastoma cells and demonstrate that high-risk MYC amplified tumors can be segregated based on protein expression patterns. We cross-validated the differentially expressed protein candidates using an independent transcriptomic data set and further confirmed them in a separate cohort of medullo

SUBMITTER: Staal JA 

PROVIDER: S-EPMC4546489 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature