Single-Cell Transcriptomic Characterisation of Patient-Derived Glioblastoma Cell Lines for Co-culture Modelling (Parse Evercode WT v3)
Patient-derived glioblastoma (GBM) cell lines provide a tractable system to model tumour biology and enable functional studies. Here, we generate single-cell transcriptomic profiles of patient-derived GBM cell lines using Parse Evercode WT v3, including both standard and GFP-labelled variants. These datasets establish a transcriptional reference for subsequent co-culture experiments with patient-derived GBM organoids, enabling the study of cell–cell interactions and tumour microenvironment dynamics.
- 07/05/2026
- 8 samples
- DAC: EGAC00001000205
- Technology: Illumina NovaSeq 6000
Wellcome Trust Sanger Institute Data Sharing Policy
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
| Study ID | Study Title | Study Type |
|---|---|---|
| EGAS00001005800 | Transcriptome Analysis |
This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.
| ID | File Type | Size | Quality Report |
Located in
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| EGAF00009047401 | cram | 7.5 GB |
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| EGAF00009047402 | cram | 11.9 GB |
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| EGAF00009047403 | cram | 9.9 GB |
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| EGAF00009047404 | cram | 9.1 GB |
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| EGAF00009047405 | cram | 10.8 GB |
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| EGAF00009047406 | cram | 11.3 GB |
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| EGAF00009047407 | cram | 12.1 GB |
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| EGAF00009047408 | cram | 10.1 GB |
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| EGAF00009047409 | cram | 8.6 GB |
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| EGAF00009047410 | cram | 10.5 GB |
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| EGAF00009047411 | cram | 10.0 GB |
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| EGAF00009047412 | cram | 9.2 GB |
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| EGAF00009047413 | cram | 12.4 GB |
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| EGAF00009047414 | cram | 11.4 GB |
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| EGAF00009047415 | cram | 13.8 GB |
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| EGAF00009047416 | cram | 10.2 GB |
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| 16 Files (169.0 GB) | ||||
