Single cell multi-omic data of glioblastoma evolution under therapy
We report a single-cell multi-omics atlas of GBM longitudinal specimens that represents decades of biobanking. We identify novel cell-intrinsic and cell-extrinsic targets for therapy development which we validate in situ and in low-passage patient-derived cell lines. We identify novel genetic correlates of the mesenchymal cellular phenotype. These studies integrate disparate findings in the literature around hypermutation status and immunogenicity as well as the source of the mesenchymal shift at recurrence.
- Type: Other
- Archiver: European Genome-Phenome Archive (EGA)
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
Dataset ID | Description | Technology | Samples |
---|---|---|---|
EGAD00001008811 | Illumina NovaSeq 6000 | 71 |
Publications | Citations |
---|---|
A single-cell atlas of glioblastoma evolution under therapy reveals cell-intrinsic and cell-extrinsic therapeutic targets.
Nat Cancer 3: 2022 1534-1552 |
68 |
Glioblastoma heterogeneity at single cell resolution.
Oncogene 42: 2023 2155-2165 |
27 |
The diversity and dynamics of tumor-associated macrophages in recurrent glioblastoma.
Front Immunol 14: 2023 1238233 |
5 |
IDHwt glioblastomas can be stratified by their transcriptional response to standard treatment, with implications for targeted therapy.
Genome Biol 25: 2024 45 |
4 |