Abstract
Glioblastoma (GBM), the most malignant of primary brain tumors, is a devastating and deadly disease, with a median survival of 14 months from diagnosis, despite standard regimens of radical brain tumor surgery, maximal safe radiation, and concomitant chemotherapy. GBM tumors nearly always re-emerge after initial treatment and frequently display resistance to current treatments. One theory that may explain GBM re-emergence is the existence of glioma stemlike cells (GSCs). We sought to identify variant protein features expressed in low passage GSCs derived from patient tumors. To this end, we developed a proteomic database that reflected variant and nonvariant sequences in the human proteome, and applied a novel retrograde proteomic workflow, to identify and validate the expression of 126 protein variants in 33 glioma stem cell strains. These newly identified proteins may harbor a subset of novel protein targets for future development of GBM therapy.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 73-79 |
| Number of pages | 7 |
| Journal | ACS chemical neuroscience |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 17 2018 |
| Externally published | Yes |
Keywords
- GBM
- Glioblastoma
- bioinformatics
- parallel reaction monitoring
- precision medicine
- protein quantification
- protein single amino acid variants
- proteomics
- targeted mass spectrometry
- transcriptomics
ASJC Scopus subject areas
- Physiology
- Biochemistry
- Cognitive Neuroscience
- Cell Biology
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