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

Research output: Contribution to journalArticle

4 Citations (Scopus)

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

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Stromal Cells
Stem cells
Heterografts
Glioma
Proteomics
Mesenchymal Stromal Cells
Stem Cells
Bone
Bone Marrow
Tropism
Metabolism
Glycosylation
Fatty Acids
Glucose
Neoplasms
Therapeutics

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

Cite this

Quantitative proteomics and transcriptomics reveals metabolic differences in attracting and non-attracting human-in-mouse glioma stem cell xenografts and stromal cells. / Wildburger, Norelle C.; Lichti, Cheryl F.; LeDuc, Richard D.; Schmidt, Mary; Kroes, Roger A.; Moskal, Joseph R.; Nilsson, Carol L.

In: EuPA Open Proteomics, Vol. 8, 01.09.2015, p. 94-103.

Research output: Contribution to journalArticle

Wildburger, Norelle C. ; Lichti, Cheryl F. ; LeDuc, Richard D. ; Schmidt, Mary ; Kroes, Roger A. ; Moskal, Joseph R. ; Nilsson, Carol L. / Quantitative proteomics and transcriptomics reveals metabolic differences in attracting and non-attracting human-in-mouse glioma stem cell xenografts and stromal cells. In: EuPA Open Proteomics. 2015 ; Vol. 8. pp. 94-103.
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AU - LeDuc, Richard D.

AU - Schmidt, Mary

AU - Kroes, Roger A.

AU - Moskal, Joseph R.

AU - Nilsson, Carol L.

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