Quantitative proteomics and transcriptomics reveals metabolic differences in attracting and non-attracting human-in-mouse glioma stem cell xenografts and stromal cells
| Autor: | Richard D. LeDuc, Cheryl F. Lichti, Joseph R. Moskal, Mary F. Schmidt, Roger A. Kroes, Carol L. Nilsson, Norelle C. Wildburger |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Glycosylation
Stromal cell lcsh:QH426-470 Biology Biochemistry Transcriptome Cancer stem cell Glioma medicine Transcriptomics Pentose phosphate pathway Tropism Mass spectrometry Bone marrow-derived human mesenchymal stem cells (BM-hMSCs) Cancer proteomics Mesenchymal stem cell ROS equipment and supplies medicine.disease Molecular biology lcsh:Genetics Fatty acid metabolism Cancer research Stem cell Glioblastoma Glycolysis Homing (hematopoietic) |
| Zdroj: | EuPA Open Proteomics, Vol 8, Iss C, Pp 94-103 (2015) |
| ISSN: | 2212-9685 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|