← BioTransfer GEO Dataset Finder
GEO series

Adaptive chromatin remodeling in glioblastoma stem cell plasticity and drug tolerance

GSE74557 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing 44 samples Submitted 2017/01/25 Platform GPL18573
Summary
Many cancers are postulated to harbor developmental hierarchies in which cells display variability in stem-like character, tumor propagating ability, and proliferation. In glioblastoma (GBM), glioma stem cells (GSCs) reside atop such a tumor cellular hierarchy, and are thought to resist current therapies and thus underlie inevitable relapse. Here we show that GSCs can evade RTK inhibition by reversibly regressing to a slow-cycling state reminiscent of quiescent neural stem cells. This process involves up-regulation of numerous histone demethylases, including KDM6A/B, which remodel the chromatin landscape and are selectively essential for drug persister survival. Chromatin remodeling is accompanied by activation of various neurodevelopmental master regulators and Notch signaling, changes which closely parallel critical aspects of neural stem cell biology. Thus our findings illustrate how cancer cells may hijack native developmental programs for deranged proliferation, adaptation, and tolerance in the face of stress. Our studies highlight key roles for chromatin remodeling and developmental plasticity in GBM biology, and suggest strategies for overcoming therapeutic resistance by targeting epigenetic and developmental pathways.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE74557_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 44 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA300725 and SRA study SRP091435. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 44 more — browse all 44 samples with per-sample file links →

Similar datasets

Search all human ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.