Large Scale Identification of Variant Proteins in Glioma Stem Cells
(2018) In ACS Chemical Neuroscience 9(1). p.73-79- 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... (More)
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.
(Less)
- author
- organization
- publishing date
- 2018-01-17
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- bioinformatics, GBM, Glioblastoma, parallel reaction monitoring, precision medicine, protein quantification, protein single amino acid variants, proteomics, targeted mass spectrometry, transcriptomics
- in
- ACS Chemical Neuroscience
- volume
- 9
- issue
- 1
- pages
- 7 pages
- publisher
- The American Chemical Society (ACS)
- external identifiers
-
- pmid:29254333
- scopus:85040656011
- ISSN
- 1948-7193
- DOI
- 10.1021/acschemneuro.7b00362
- language
- English
- LU publication?
- yes
- id
- 0dc6eb8e-a269-414a-ba66-8ccadb59adcf
- date added to LUP
- 2018-01-30 11:12:14
- date last changed
- 2024-09-16 16:27:33
@article{0dc6eb8e-a269-414a-ba66-8ccadb59adcf, abstract = {{<p>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.</p>}}, author = {{Mostovenko, Ekaterina and Végvári, Ákos and Rezeli, Melinda and Lichti, Cheryl F. and Fenyö, David and Wang, Qianghu and Lang, Frederick F. and Sulman, Erik P. and Sahlin, K. Barbara and Marko-Varga, György and Nilsson, Carol L.}}, issn = {{1948-7193}}, keywords = {{bioinformatics; GBM; Glioblastoma; parallel reaction monitoring; precision medicine; protein quantification; protein single amino acid variants; proteomics; targeted mass spectrometry; transcriptomics}}, language = {{eng}}, month = {{01}}, number = {{1}}, pages = {{73--79}}, publisher = {{The American Chemical Society (ACS)}}, series = {{ACS Chemical Neuroscience}}, title = {{Large Scale Identification of Variant Proteins in Glioma Stem Cells}}, url = {{http://dx.doi.org/10.1021/acschemneuro.7b00362}}, doi = {{10.1021/acschemneuro.7b00362}}, volume = {{9}}, year = {{2018}}, }