Glioblastoma is known as a highly lethal brain tumor and shows resistance to both chemotherapeutic treatment and radiation. In order to obtain an overview of the molecular networks related to this malignancy, we applied a shotgun proteomics approach to characterize the expression status of the glioblastoma proteome. As a result, a total of 2,089 proteins were identified from human glioblastoma stem cells using high-resolution mass spectrometry. Gene ontology classification based on Human Protein Reference Database (HPRD) revealed that they were localized in various compartments such as cytoplasm, nucleus and plasma membrane (37%, 30% and 8%, respectively). The proteins associated with signal transduction, regulation of nucleic acid metabolism, protein metabolism and metabolism/energy pathways showed similar proportions (about 16%) in terms of biological processes. Furthermore, the bioinformatics analysis using Database for Annotation, Visualization and Integrated Discovery (DAVID) software uncovered a variety of pathways concerning cancer and cancer stem-like cells such as glycolysis, pyruvate metabolism and pentose phosphate pathway. Intriguingly, our global proteome analysis also revealed an enriched fraction of proteins related to ribosome, spliceosome and proteasome machineries. Our results provide a new insight into the protein networks in glioblastoma stem cells and pave the way for exploration of drug targets to develop more effective treatments for glioblastoma.
View Full Article