The proteomic landscape of glioma stem-like cells

Cheryl F. Lichti, Norelle C. Wildburger, Alexander S. Shavkunov, Ekaterina Mostovenko, Huiling Liu, Erik P. Sulman, Carol L. Nilsson

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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 languageEnglish (US)
Pages (from-to)85-93
Number of pages9
JournalEuPA Open Proteomics
Volume8
DOIs
StatePublished - Sep 1 2015

Keywords

  • DAVID
  • Glioblastoma
  • Glioma stem cells
  • Ingenuity Pathway Analysis
  • Label-free quantitative proteomics
  • Unsupervised hierarchical clustering

ASJC Scopus subject areas

  • Biochemistry

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