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GCGR glioma stem cell panel

Deeply characterised glioma stem cell models that capture tumour heterogeneity

Developed by Steven Pollard, Gillian Morrison and colleagues at University of Edinburgh and University College London

The GCGR Glioma Stem Cell (GSC) panel comprises high‑fidelity, patient‑derived glioma stem cell models from WHO grade IV, IDH‑wildtype glioblastoma tumours. Developed as part of the Cancer Research UK–funded Glioma Cellular Genetics Resource (GCGR), the panel captures the cellular and molecular diversity underpinning glioma progression and therapeutic resistance.

ICC image of glioma cell lines
GCGR E43 ICC SOX2 and NESTIN x20

Key features

  • Deep molecular characterisation: transcriptomic, genomic, and DNA methylation profiling of each cell line
  • Modern glioma classification coverage across multiple frameworks
  • Tumour formation in xenotransplantation models
  • Primary neural stem cells available as control cell lines – coming soon
  • Panel scale: 6 lines available now, expanding to >50

Available GCGR GSC models

Cell nameCat. #Transcriptional
profile at P3*
OrganismKey attributes
GCGR-E43140075ClassicalHuman– Classical GBM line with RTK II methylation;
– forms tumours in ~3 months and
– represents a non‑MES transcriptional state
GCGR-E63140084ClassicalHuman– Classical GBM line with RTK II methylation;
– forms tumours in ~4 months and
– represents a non‑MES transcriptional state
GCGR-E20140061ProneuralHuman– Proneural GBM line with RTK I methylation;
– forms tumours in ~4 months and
– represents a non‑MES transcriptional state
GCGR-E53140077ProneuralHuman– Proneural GBM line with RTK I methylation;
– forms tumours in ~7 months and
– represents a non‑MES transcriptional state
GCGR-E55140079MesenchymalHuman– Mesenchymal GBM line with RTK I methylation;
– forms tumours in ~4 months and
– shows a MESImm transcriptional profile
GCGR-57140081MesenchymalHuman– Mesenchymal GBM line with RTK II methylation;
– forms tumours in ~9 months and
– shows a MESImm transcriptional profile
*Transcriptomic profiling on early passage indicates the transcriptional state based on a probability score. See Verhaak, R.G.W. et al. (2010) for further information on the definition of the classical, proneural and mesenchymal states

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