Label-free identification of the glioma stem-like cell fraction using Fourier-transform infrared spectroscopy
Purpose: Vibrational spectroscopy enables the label-free characterization of cells and tissue by probing the biochemical composition. Here, we evaluated these techniques to identify glioblastoma stem cells.Materials and methods: The biochemical fingerprints of glioblastoma cells were established in...
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| Main Authors: | , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
25 Mar 2014
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| In: |
International journal of radiation biology
Year: 2014, Volume: 90, Issue: 8, Pages: 710-717 |
| ISSN: | 1362-3095 |
| DOI: | 10.3109/09553002.2014.899447 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.3109/09553002.2014.899447 Verlag, lizenzpflichtig, Volltext: https://www.tandfonline.com/doi/full/10.3109/09553002.2014.899447 
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| Author Notes: | Ortrud Uckermann, Roberta Galli, Martin Anger, Christel Herold-Mende, Edmund Koch, Gabriele Schackert, Gerald Steiner & Matthias Kirsch |
| Summary: | Purpose: Vibrational spectroscopy enables the label-free characterization of cells and tissue by probing the biochemical composition. Here, we evaluated these techniques to identify glioblastoma stem cells.Materials and methods: The biochemical fingerprints of glioblastoma cells were established in human cell lines with high and low content of CD133 (cluster of differentiation 133)-positive cells using attenuated total reflection Fourier-transform infrared (ATR FT-IR) on vital cells and FT-IR mapping, which delivers spatially resolved spectroscopic datasets. After data preprocessing, unsupervised cluster analysis was applied. CD133 was addressed with flow cytometry and immunohistochemistry and used as a stemness marker.Results: In all preparations, the algorithm was able to correctly classify the spectra, differentiating CD133-rich and -poor populations. The main spectral differences were found in the region of 1000 cm− 1 to 1150 cm− 1 that can be assigned to vibrations of chemical bonds of DNA, RNA, carbohydrates and phospholipids. Interestingly, this spectral region is a key feature to discern glioblastoma from normal brain parenchyma, as FT-IR spectroscopic mapping of experimental brain tumors demonstrated.Conclusions: We were able to show biochemical differences between glioblastoma cell populations with high and low content of cancer stem cells that are presumably related to changes in the RNA/DNA content. |
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| Item Description: | Gesehen am 02.09.2020 |
| Physical Description: | Online Resource |
| ISSN: | 1362-3095 |
| DOI: | 10.3109/09553002.2014.899447 |