Quantitative proteomics and transcriptomics reveals metabolic differences in attracting and non-attracting human-in-mouse glioma stem cell xenografts and stromal cells

Norelle C. Wildburger*, Cheryl F. Lichti, Richard D. LeDuc, Mary Schmidt, Roger A. Kroes, Joseph R. Moskal, Carol L. Nilsson

*Corresponding author for this work

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Bone marrow-derived human mesenchymal stem cells (BM-hMSCs) show promise as cell-based delivery vehicles for anti-glioma therapeutics, due to innate tropism for gliomas. However, in clinically relevant human-in-mouse glioma stem cell xenograft models, BM-hMSCs tropism is variable. We compared the proteomic profile of cancer and stromal cells in GSCXs that attract BM-hMSCs ("attractors") with those to do not ("non-attractors") to identify pathways that may modulate BM-hMSC homing, followed by targeted transcriptomics. The results provide the first link between fatty acid metabolism, glucose metabolism, ROS, and N-glycosylation patterns in attractors. Reciprocal expression of these pathways in the stromal cells suggests microenvironmental cross-talk.

Original languageEnglish (US)
Pages (from-to)94-103
Number of pages10
JournalEuPA Open Proteomics
Volume8
DOIs
StatePublished - Sep 1 2015

Keywords

  • Bone marrow-derived human mesenchymal stem cells (BM-hMSCs)
  • Cancer proteomics
  • Fatty acid metabolism
  • Glioblastoma
  • Glycolysis
  • Glycosylation
  • Mass spectrometry
  • Pentose phosphate pathway
  • ROS
  • Transcriptomics

ASJC Scopus subject areas

  • Biochemistry

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