Elimination of dormant cancer stem cells by disrupting glucocorticoid mediated lipid metabolism in glioblastoma [treatment]
RNA-seq (gene expression) · mouse · 13 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 13 samples: 5 × DEXA vs 5 × MIFE vs 3 × DMSOGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE215242_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA889414 and SRA study SRP401995. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 13 samples.
How we read this: 3 replicated groups read from 13 sample titles; they account for 13 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM6630277 DMSO_1 DMSO
- GSM6630278 DMSO_2 DMSO
- GSM6630279 DMSO_3 DMSO
- GSM6630280 DEXA_4 DEXA
- GSM6630281 DEXA_5 DEXA
- GSM6630282 DEXA_6 DEXA
- GSM6630283 DEXA_7 DEXA
- GSM6630284 DEXA_8 DEXA
- GSM6630285 MIFE_9 MIFE
- GSM6630286 MIFE_10 MIFE
- GSM6630287 MIFE_11 MIFE
- GSM6630288 MIFE_12 MIFE
- GSM6630289 MIFE_13 MIFE
- GSE334363 PDE5a Inhibition Restricts Cancer Metastasis by Disrupting NPC1-Mediated Cholesterol Trafficking Through a Non-canonical cGMP-Dependent Pathway 18 samples shares disrupting, mediated
- GSE271333 Hepatic sphingomyelin phosphodiesterase 3 promotes steatohepatitis by disrupting membrane sphingolipid metabolism 16 samples shares disrupting, lipid
- GSE264497 Intestinal Epithelial C/EBPβ Deficiency Impairs Colitis-Associated Tumorigenesis by Disrupting CXCL1 /CXCL2/CXCL5-CXCR2-Mediated Neutrophil Infiltration [RNA-seq ] 15 samples shares disrupting, mediated
- GSE240541 Cross-species comparison reveals therapeutic vulnerabilities halting glioblastoma progression 1564 samples shares glioblastoma
- GSE295530 MeCP2 stabilizes the glucocorticoid system in active chromatin regions [RNA-seq] 723 samples shares glucocorticoid
- GSE114456 Integrative and Quantitative Analysis of Tumor Progression Reveals Fundamental Properties of Glioblastoma 152 samples shares glioblastoma
- GSE248864 Hepatic Glucocorticoid Receptor (GR) drives the diurnal adaptation to Caloric Restriction 90 samples shares glucocorticoid
- GSE296151 Identifying and Exploiting Combinatorial Synthetic Lethality by Characterizing Adaptive Kinome Rewiring of EGFRvIII-driven Glioblastoma 80 samples shares glioblastoma
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.