Abstract
Glioma stem-like cells (GSCs) are hypothesized to provide a repository of cells in tumors that can self-replicate and are radio- and chemo-resistant. GSC lines, representing several glioma subtypes, have been isolated and characterized at the transcript level. We sought to characterize 35 GSC lines at the protein level using label-free quantitative proteomics. Resulting relative fold changes were used to drive unsupervised hierarchical clustering for the purpose of classifying the cell lines based on proteomic profiles. Bioinformatics analysis identified synoviolin, serine/arginine-rich splicing factor 2, symplekin, and IL-5 as molecules of interest in progression and/or treatment of glioma.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 85-93 |
| Number of pages | 9 |
| Journal | EuPA Open Proteomics |
| Volume | 8 |
| DOIs | |
| State | Published - Sep 1 2015 |
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Keywords
- DAVID
- Glioblastoma
- Glioma stem cells
- Ingenuity Pathway Analysis
- Label-free quantitative proteomics
- Unsupervised hierarchical clustering
ASJC Scopus subject areas
- Biochemistry
Cite this
The proteomic landscape of glioma stem-like cells. / Lichti, Cheryl F.; Wildburger, Norelle C.; Shavkunov, Alexander S.; Mostovenko, Ekaterina; Liu, Huiling; Sulman, Erik P.; Nilsson, Carol L.
In: EuPA Open Proteomics, Vol. 8, 01.09.2015, p. 85-93.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - The proteomic landscape of glioma stem-like cells
AU - Lichti, Cheryl F.
AU - Wildburger, Norelle C.
AU - Shavkunov, Alexander S.
AU - Mostovenko, Ekaterina
AU - Liu, Huiling
AU - Sulman, Erik P.
AU - Nilsson, Carol L.
PY - 2015/9/1
Y1 - 2015/9/1
N2 - Glioma stem-like cells (GSCs) are hypothesized to provide a repository of cells in tumors that can self-replicate and are radio- and chemo-resistant. GSC lines, representing several glioma subtypes, have been isolated and characterized at the transcript level. We sought to characterize 35 GSC lines at the protein level using label-free quantitative proteomics. Resulting relative fold changes were used to drive unsupervised hierarchical clustering for the purpose of classifying the cell lines based on proteomic profiles. Bioinformatics analysis identified synoviolin, serine/arginine-rich splicing factor 2, symplekin, and IL-5 as molecules of interest in progression and/or treatment of glioma.
AB - Glioma stem-like cells (GSCs) are hypothesized to provide a repository of cells in tumors that can self-replicate and are radio- and chemo-resistant. GSC lines, representing several glioma subtypes, have been isolated and characterized at the transcript level. We sought to characterize 35 GSC lines at the protein level using label-free quantitative proteomics. Resulting relative fold changes were used to drive unsupervised hierarchical clustering for the purpose of classifying the cell lines based on proteomic profiles. Bioinformatics analysis identified synoviolin, serine/arginine-rich splicing factor 2, symplekin, and IL-5 as molecules of interest in progression and/or treatment of glioma.
KW - DAVID
KW - Glioblastoma
KW - Glioma stem cells
KW - Ingenuity Pathway Analysis
KW - Label-free quantitative proteomics
KW - Unsupervised hierarchical clustering
UR - http://www.scopus.com/inward/record.url?scp=84940957712&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940957712&partnerID=8YFLogxK
U2 - 10.1016/j.euprot.2015.06.008
DO - 10.1016/j.euprot.2015.06.008
M3 - Article
AN - SCOPUS:84940957712
VL - 8
SP - 85
EP - 93
JO - EuPA Open Proteomics
JF - EuPA Open Proteomics
SN - 2212-9685
ER -