← BioTransfer GEO Dataset Finder
GEO series

In vitro investigation of epigenetic regulators related to chemo-resistance and stemness of CD133+VE cells sorted from U87MG cell line

GSE291545 Homo sapiens Expression profiling by high throughput sequencing 5 samples Submitted 2026/04/15 Platform GPL24676
Summary
Glioblastoma (GBM) is the most common and malignant adult primary brain tumor with frequent relapse and resistance to therapies. Glioma stem cells, a rare population, is thought to be the reason behind the treatment’s failure. It is imperative to investigate the disease mechanisms and identify the biomarkers by which glioma stem cells would contribute to treatment relapse and resistance to already available chemotherapeutic agents. The CD133+VE cells were isolated from U87MG cell line and characterized by morphological features, cell viability, self-renewal efficiency, migration potential and karyotyping. Doxorubicin Cisplatin, Irinotecan, Etoposide and Temozolomide were used to determine the anti-proliferative effect on CD133+VE cells. Confocal microcopy was used to localize the chemotherapeutic agents in the CD133+VE cells. In quest of epigenetic biomarkers, RNA sequencing was performed to find the role of lncRNAs in stemness and resistance to therapies. U87cell line and CD133-VE cells were kept as controls for all the experiments. It was found that CD133+VEcells were highly proliferative with increased migration potential, elevated IC50 values against chemotherapeutic agents and showed distinct karyotyping related to pluripotency. Chemotherapeutic agent such as Doxorubicin was localized outside the nucleus revealing the drug resistance as evident by confocal microscopy. RNA sequencing revealed 126 differentially expressed lncRNAs (DELs) in CD133+VEcells among which lncRNA LOXL1-AS1 was highly upregulated and lncRNA PAX8-AS1 was significantly downregulated. These lncRNAs has been reported to be related to drug resistance, migration and epithelial- to- mesenchymal transmission (EMT), self-renewal and stemness properties contributing to poor prognosis and disease relapse.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE291545_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 5 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1234129 and SRA study SRP569178. 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.

+ 5 more — browse all 5 samples with per-sample file links →

Similar datasets

Search all human RNA-seq 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.