Need Help?

GBM-Space: Transcriptomic Profiling of Patient-Derived Glioblastoma Cell Lines (Parse Biosciences - Evercode WT)

Cancer cells display heterogeneous and dynamic states in glioblastoma, but how these malignant states arise and whether they follow a tractable cellular trajectory across tumours is poorly understood. Here, we generate a deep single cell and spatial multi-region atlas of 12 isocitrate dehydrogenase wild-type (IDH-wt) primary glioblastomas that integrates transcriptomic, epigenomic and genomic analysis to comprehensively characterise their tumour heterogeneity. This dataset comprises sequencing data from single-cell transcriptomic profiles of patient-derived glioblastoma cell lines (Parse Biosciences Evercode WT v3), towards experimentally validating the malignant cell trajectory from developmental-like to gliosis-hypoxia states.

Request Access

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
EGAF00009047401 cram 7.5 GB
EGAF00009047402 cram 11.9 GB
EGAF00009047403 cram 9.9 GB
EGAF00009047404 cram 9.1 GB
EGAF00009047405 cram 10.8 GB
EGAF00009047406 cram 11.3 GB
EGAF00009047407 cram 12.1 GB
EGAF00009047408 cram 10.1 GB
EGAF00009047409 cram 8.6 GB
EGAF00009047410 cram 10.5 GB
EGAF00009047411 cram 10.0 GB
EGAF00009047412 cram 9.2 GB
EGAF00009047413 cram 12.4 GB
EGAF00009047414 cram 11.4 GB
EGAF00009047415 cram 13.8 GB
EGAF00009047416 cram 10.2 GB
16 Files (169.1 GB)