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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.

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
Glioblastoma heterogeneity at single cell resolution.
Oncogene 42: 2023 2155-2165
The diversity and dynamics of tumor-associated macrophages in recurrent glioblastoma.
Front Immunol 14: 2023 1238233
IDHwt glioblastomas can be stratified by their transcriptional response to standard treatment, with implications for targeted therapy.
Genome Biol 25: 2024 45