RNA-seq profiling of 14 paired primary and recurrent glioma cases
RNA-seq (gene expression) · human · 28 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
- Homo sapiens (human)
- Samples
- 28 samples: 28 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
- Contribution of Prostaglandin E2-Induced Neuronal Excitation to Drug Resistance in Glioblastoma Countered by a Novel Blood-Brain Barrier Crossing Celecoxib DerivativeAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 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 GSE339484_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 PRJNA1499048 and SRA study SRP720279. 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 28 sample titles: 28 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.
- GSM9896375 Patient01, Grade 3, IDH1 wt, Primary
- GSM9896376 Patient01, Grade 3, IDH1 wt, Recurrent
- GSM9896377 Patient02, Grade 3, IDH1 mutant, Primary
- GSM9896378 Patient02, Grade 3, IDH1 mutant, Recurrent
- GSM9896379 Patient03, Grade 4, IDH1 wt, Primary
- GSM9896380 Patient03, Grade 4, IDH1 wt, Recurrent
- GSM9896381 Patient04, Grade 4, IDH1 wt, Primary
- GSM9896382 Patient04, Grade 4, IDH1 wt, Recurrent
- GSM9896383 Patient05, Grade 4, IDH1 wt, Primary
- GSM9896384 Patient05, Grade 4, IDH1 wt, Recurrent
- GSM9896385 Patient06, Grade 4, IDH1 wt, Primary
- GSM9896386 Patient06, Grade 4, IDH1 wt, Recurrent
- GSM9896387 Patient07, Grade 4, IDH1 wt, Primary
- GSM9896388 Patient07, Grade 4, IDH1 wt, Recurrent
- GSM9896389 Patient08, Grade 4, IDH1 wt, Primary
- GSM9896390 Patient08, Grade 4, IDH1 wt, Recurrent
- GSM9896391 Patient09, Grade 4, IDH1 mutant, Primary
- GSM9896392 Patient09, Grade 4, IDH1 mutant, Recurrent
- GSM9896393 Patient10, Grade 4, IDH1 wt, Primary
- GSM9896394 Patient10, Grade 4, IDH1 wt, Recurrent
- GSM9896395 Patient11, Grade 4, IDH1 wt, Primary
- GSM9896396 Patient11, Grade 4, IDH1 wt, Recurrent
- GSM9896397 Patient12, Grade 4, IDH1 mutant, Primary
- GSM9896398 Patient12, Grade 4, IDH1 mutant, Recurrent
- GSM9896399 Patient13, Grade 4, IDH1 wt, Primary
- GSM9896400 Patient13, Grade 4, IDH1 wt, Recurrent
- GSM9896401 Patient14, Grade 4, IDH1 wt, Primary
- GSM9896402 Patient14, Grade 4, IDH1 wt, Recurrent
- GSE205154 Bulk RNA-Seq gene expression data for 289 primary and metastatic pancreatic ductal adenocarcinoma (PDAC) tumor samples from FFPE blocks. 289 samples shares rna-seq, primary
- GSE297742 Bulk RNA-seq of primary tumor biopsy samples from prostate adenocarcinoma patients 234 samples shares rna-seq, primary
- GSE327386 RNA-Seq of paired diagnosis and relapse AML specimens with healthy controls 130 samples shares rna-seq, paired
- GSE327289 Cerebrovascular Single-Nucleus RNA-Seq Reveals Heat Shock Activation and Vascular Remodeling in Alzheimer’s Disease and Primary Tauopathies 76 samples shares rna-seq, primary
- GSE326221 Acquired genetic and cell state changes in IDH-mutant glioma progression [snRNA-seq] 75 samples shares rna-seq, glioma
- GSE269877 Single-cell RNA-sequencing of BCG naïve and recurrent non-muscle invasive bladder cancer reveals a CD6/ALCAM-mediated immune-suppressive pathway 38 samples shares recurrent, rna-seq
- GSE294300 Single-cell gene expression profiles of cells from primary colorectal cancer and adjacent normal tissue [scRNA-Seq] 36 samples shares rna-seq, primary
- GSE315534 Single-cell RNA sequencing of primary colorectal cancer, matched adjacent normal tissues, and paired liver metastases 15 samples shares primary, paired
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.