Proteomic analysis of Medulloblastoma reveals functional biology with translational potential
Autor: | Kristy J. Brown, Heather Gordish-Dressman, Mojca Stampar, Ling San Lau, Samuel Rivero-Hinojosa, Jerome A. Staal, Stefan M. Pfister, Michael D. Taylor, Brian R. Rood, Huizhen Zhang, Paul A. Northcott |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Male Proteomics Proteome Pediatric brain tumor Quantitative proteomics Druggability Genomics Computational biology Biology SILAC lcsh:RC346-429 Pathology and Forensic Medicine 03 medical and health sciences Cellular and Molecular Neuroscience Tandem Mass Spectrometry Stable isotope labeling by amino acids in cell culture Humans RNA Messenger Cerebellar Neoplasms lcsh:Neurology. Diseases of the nervous system Proteogenomics Research DNA Methylation Neoplasm Proteins 030104 developmental biology DNA methylation Female Neurology (clinical) Protein Processing Post-Translational Chromatography Liquid Medulloblastoma |
Zdroj: | Acta Neuropathologica Communications, Vol 6, Iss 1, Pp 1-19 (2018) Acta Neuropathologica Communications |
ISSN: | 2051-5960 |
DOI: | 10.1186/s40478-018-0548-7 |
Popis: | Genomic characterization has begun to redefine diagnostic classifications of cancers. However, it remains a challenge to infer disease phenotypes from genomic alterations alone. To help realize the promise of genomics, we have performed a quantitative proteomics investigation using Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC) and 41 tissue samples spanning the 4 genomically based subgroups of medulloblastoma and control cerebellum. We have identified and quantitated thousands of proteins across these groups and find that we are able to recapitulate the genomic subgroups based upon subgroup restricted and differentially abundant proteins while also identifying subgroup specific protein isoforms. Integrating our proteomic measurements with genomic data, we calculate a poor correlation between mRNA and protein abundance. Using EPIC 850 k methylation array data on the same tissues, we also investigate the influence of copy number alterations and DNA methylation on the proteome in an attempt to characterize the impact of these genetic features on the proteome. Reciprocally, we are able to use the proteome to identify which genomic alterations result in altered protein abundance and thus are most likely to impact biology. Finally, we are able to assemble protein-based pathways yielding potential avenues for clinical intervention. From these, we validate the EIF4F cap-dependent translation pathway as a novel druggable pathway in medulloblastoma. Thus, quantitative proteomics complements genomic platforms to yield a more complete understanding of functional tumor biology and identify novel therapeutic targets for medulloblastoma. Electronic supplementary material The online version of this article (10.1186/s40478-018-0548-7) contains supplementary material, which is available to authorized users. |
Databáze: | OpenAIRE |
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