Cross-species comparison reveals therapeutic vulnerabilities halting glioblastoma progression
RNA-seq (gene expression) · mouse · 1564 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
- 1564 samples: 1564 samples, each with a distinct title — no replicated groupsGroups 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.
- Paper
- Cross-species comparison reveals therapeutic vulnerabilities halting glioblastoma progressionNature communications · 2025
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 GSE240541_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 PRJNA1004206 and SRA study SRP454470. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from the first 400 of 1564 sample titles: 400 distinct titles with little repetition. 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.
- GSM7699789 SVZ NSC lineage cell, OB rep1 [OB1_588165]
- GSM7699790 SVZ NSC lineage cell, OB rep1 [OB1_588169]
- GSM7699791 SVZ NSC lineage cell, OB rep1 [OB1_588171]
- GSM7699792 SVZ NSC lineage cell, OB rep1 [OB1_588181]
- GSM7699793 SVZ NSC lineage cell, OB rep1 [OB1_588185]
- GSM7699794 SVZ NSC lineage cell, OB rep1 [OB1_588187]
- GSM7699795 SVZ NSC lineage cell, OB rep1 [OB1_588191]
- GSM7699796 SVZ NSC lineage cell, OB rep1 [OB1_588197]
- GSM7699797 SVZ NSC lineage cell, OB rep1 [OB1_588199]
- GSM7699798 SVZ NSC lineage cell, OB rep1 [OB1_588207]
- GSM7699799 SVZ NSC lineage cell, OB rep1 [OB1_588211]
- GSM7699800 SVZ NSC lineage cell, OB rep1 [OB1_588213]
- GSM7699801 SVZ NSC lineage cell, OB rep1 [OB1_588215]
- GSM7699802 SVZ NSC lineage cell, OB rep1 [OB1_588219]
- GSM7699803 SVZ NSC lineage cell, OB rep1 [OB1_588221]
- GSM7699804 SVZ NSC lineage cell, OB rep1 [OB1_588223]
- GSM7699805 SVZ NSC lineage cell, OB rep1 [OB1_588225]
- GSM7699806 SVZ NSC lineage cell, OB rep1 [OB1_588229]
- GSM7699807 SVZ NSC lineage cell, OB rep1 [OB1_588231]
- GSM7699808 SVZ NSC lineage cell, OB rep1 [OB1_588235]
- GSM7699809 SVZ NSC lineage cell, OB rep1 [OB1_588239]
- GSM7699810 SVZ NSC lineage cell, OB rep1 [OB1_588243]
- GSM7699811 SVZ NSC lineage cell, OB rep1 [OB1_588245]
- GSM7699812 SVZ NSC lineage cell, OB rep1 [OB1_588247]
- GSM7699813 SVZ NSC lineage cell, OB rep1 [OB1_588249]
- GSM7699814 SVZ NSC lineage cell, OB rep1 [OB1_588255]
- GSM7699815 SVZ NSC lineage cell, OB rep1 [OB1_588259]
- GSM7699816 SVZ NSC lineage cell, OB rep1 [OB1_588261]
- GSM7699817 SVZ NSC lineage cell, OB rep1 [OB1_588263]
- GSM7699818 SVZ NSC lineage cell, OB rep1 [OB1_588265]
- GSM7699819 SVZ NSC lineage cell, OB rep1 [OB1_588267]
- GSM7699820 SVZ NSC lineage cell, OB rep1 [OB1_588269]
- GSM7699821 SVZ NSC lineage cell, OB rep1 [OB1_588271]
- GSM7699822 SVZ NSC lineage cell, OB rep1 [OB1_588273]
- GSM7699823 SVZ NSC lineage cell, OB rep1 [OB1_588275]
- GSM7699824 SVZ NSC lineage cell, OB rep1 [OB1_588277]
- GSM7699825 SVZ NSC lineage cell, OB rep1 [OB1_588279]
- GSM7699826 SVZ NSC lineage cell, OB rep1 [OB1_588283]
- GSM7699827 SVZ NSC lineage cell, OB rep1 [OB1_588287]
- GSM7699828 SVZ NSC lineage cell, OB rep1 [OB1_588293]
+ 1524 more — browse all 1564 samples with per-sample file links →
- GSE114456 Integrative and Quantitative Analysis of Tumor Progression Reveals Fundamental Properties of Glioblastoma 152 samples shares glioblastoma, progression
- GSE282711 Cross-Species Comparison between Mouse Kidney Multi-Omics and Human Genome-Wide Association Studies Highlights Molecular Features Associated with Oxalate Nephropathy 12 samples shares cross-species, comparison
- GSE296145 SPEN loss drives extra-follicular diffuse large B cell lymphoma with female-specific lethality and TLR pathway therapeutic vulnerabilities 36 samples shares vulnerabilities, therapeutic
- GSE301496 Transient YAP/TAZ inhibition exposes therapeutic vulnerabilities in advanced cancers [CUT&Run] 20 samples shares vulnerabilities, therapeutic
- GSE301500 Transient YAP/TAZ inhibition exposes therapeutic vulnerabilities in advanced cancers [ATAC-seq] 11 samples shares vulnerabilities, therapeutic
- GSE234245 Multiomic Profile Integration Reveals Early Signatures of Amyotrophic Lateral Sclerosis and Suggests the MAPK Pathway as a Therapeutic Target [RNA-Seq] 79 samples shares therapeutic
- GSE325852 Translatome profiling reveals opposing alterations in inhibitory and excitatory neurons of Fragile X mice and identifies EPAC2 as a therapeutic target 69 samples shares therapeutic
- GSE301254 Single-nucleus profiling reveals a core disease signature and cell-type-specific vulnerabilities in early Rett syndrome 32 samples shares vulnerabilities
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.