Quantitative Proteomics and Transcriptomics Reveals Metabolic Differences in Attracting and Non-Attracting Human-in-Mouse Glioma Stem Cell Xenografts and Stromal Cells

Publication date: Available online 7 July 2015 Source:EuPA Open Proteomics Author(s): Norelle C. Wildburger , Cheryl F. Lichti , Richard D. LeDuc , Mary Schmidt , Roger A. Kroes , Joseph R. Moskal , Carol L. Nilsson 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. Graphical abstract
Source: EuPA Open Proteomics - Category: Bioinformatics Source Type: research