Transcriptome profiling of human glioma and normal brain tissues by rRNA-deleted total RNAseq
RNA-seq (gene expression) · human · 118 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)
- Topic
- Lower-grade gliomaThis series is part of our curated briefing on it.
- Samples
- 118 samples
- 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 GSE147352_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 PRJNA613939 and SRA study SRP253645. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 118 more — browse all 118 samples with per-sample file links →
- GSE70630 Single cell RNA-seq analysis of oligodendroglioma 4825 samples same disease briefing · shares glioma
- GSE260997 Mutant IDH inhibitors induce lineage differentiation in IDH-mutant Oligodendroglioma III 2458 samples same disease briefing · shares glioma
- GSE326221 Acquired genetic and cell state changes in IDH-mutant glioma progression [snRNA-seq] 75 samples same disease briefing · shares glioma
- GSE226321 Multimodal integration of transcriptomics, proteomics and radiomics improves prediction of recurrence in patients with IDH-mutant Glioma 59 samples same disease briefing · shares glioma
- GSE308634 Transcriptional changes mediated by the HDACi panobinostat in IDH-wildtype and IDH-mutant gliomas 54 samples same disease briefing · shares glioma
- GSE308636 Transcriptional changes mediated by the HDACi belinostat in IDH-mutant glioma cultures with YAP and TAZ overexpression 36 samples same disease briefing · shares glioma
- GSE252245 Exploiting the therapeutic vulnerability of IDH-mutant gliomas with zotiraciclib 24 samples same disease briefing · shares glioma
- GSE295254 GSK3 acts as a switch for transcriptional programs in a model of low-grade gliomagenesis 18 samples same disease briefing · shares glioma
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.