Divergence from the human astrocyte developmental trajectory in glioblastoma [bulk RNA]
RNA-seq (gene expression) · human · 101 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
- GlioblastomaThis series is part of our curated briefing on it.
- Samples
- 101 samples: 73 distinct titles, 12 of them repeatedGroups 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
- Mapping the developmental trajectory of human astrocytes reveals divergence in glioblastomaNature cell biology · 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 GSE276176_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 PRJNA1155638 and SRA study SRP530031. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 18 samples read as cases, 8 as controls.
How we read this: Read from 101 sample titles: 73 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.
- GSM8492524 Bulk RNA-seq, line C3.1, cd49+, d80
- GSM8492525 Bulk RNA-seq, line C4.1, cd49+, d80
- GSM8492526 Bulk RNA-seq, line C3.1, cd49+, d100
- GSM8492527 Bulk RNA-seq, line C4.1, cd49+, d100
- GSM8492528 Bulk RNA-seq, line C3.1, cd49+, d150
- GSM8492529 Bulk RNA-seq, line C4.1, cd49+, d150
- GSM8492530 Bulk RNA-seq, line C4.1, HepaCAM+, d150
- GSM8492531 Bulk RNA-seq, line C3.1, HepaCAM+, d200
- GSM8492532 Bulk RNA-seq, line C4.1, HepaCAM+, d200
- GSM8492533 Bulk RNA-seq, line C3.1, HepaCAM+, d250
- GSM8492534 Bulk RNA-seq, line C4.1, HepaCAM+, d250
- GSM8492535 Bulk RNA-seq, line C3.1, HepaCAM+, d300
- GSM8492536 Bulk RNA-seq, line C4.1, HepaCAM+, d300
- GSM8492537 Bulk RNA-seq, line C3.1, HepaCAM+, d350
- GSM8492538 Bulk RNA-seq, line C3.1, HepaCAM+, d400
- GSM8492539 Bulk RNA-seq, line C4.1, HepaCAM+, d400
- GSM8492540 Bulk RNA-seq, line C3.1, HepaCAM+, d450
- GSM8492541 Bulk RNA-seq, line C4.1, HepaCAM+, d450
- GSM8492542 Bulk RNA-seq, line C3.1, HepaCAM+, d550
- GSM8492543 Bulk RNA-seq, line C4.1, HepaCAM+, d550
- GSM8492544 Bulk RNA-seq, GBM10, margin
- GSM8492545 Bulk RNA-seq, GBM10, tumor
- GSM8492546 Bulk RNA-seq, GBM11, margin
- GSM8492547 Bulk RNA-seq, GBM11, tumor
- GSM8492548 Bulk RNA-seq, GBM12, margin
- GSM8492549 Bulk RNA-seq, GBM12, tumor
- GSM8492550 Bulk RNA-seq, GBM15, margin
- GSM8492551 Bulk RNA-seq, GBM15, tumor
- GSM8492552 Bulk RNA-seq, GBM18, tumor
- GSM8492553 Bulk RNA-seq, GBM20, margin
- GSM8492554 Bulk RNA-seq, GBM20, tumor
- GSM8492555 Bulk RNA-seq, GBM21, margin
- GSM8492556 Bulk RNA-seq, GBM21, tumor
- GSM8492557 Bulk RNA-seq, GBM22, margin
- GSM8492558 Bulk RNA-seq, GBM22, tumor
- GSM8492559 Bulk RNA-seq, GBM24, margin
- GSM8492560 Bulk RNA-seq, GBM24, tumor
- GSM8492561 Bulk RNA-seq, GBM25, margin
- GSM8492562 Bulk RNA-seq, GBM25, tumor
- GSM8492563 Bulk RNA-seq, GBM28, tumor
+ 61 more — browse all 101 samples with per-sample file links →
- GSE115459 Exosome-transmitted RVT1 from reactive astrocytes promotes recurrence glioblastoma proliferation 9 samples same disease briefing · shares glioblastoma, astrocyte
- GSE112648 SOXC factors as suppressors modulate Rho activity to promote neuronal reprogramming of human glioblastoma cells 18 samples same disease briefing · shares glioblastoma
- GSE131928 single cell RNA-seq analysis of adult and paediatric IDH-wildtype Glioblastomas 2 samples same disease briefing · shares glioblastoma
- GSE107560 Ivy Glioblastoma Atlas Project 305 samples same disease briefing · shares glioblastoma
- GSE13041 Gene expression analysis of glioblastomas identifies the major molecular basis for the prognostic benefit of younger age 267 samples same disease briefing · shares glioblastoma
- GSE112645 SOXC factors as suppressors modulate Rho activity to promote neuronal reprogramming of human glioblastoma cells 12 samples same disease briefing · shares glioblastoma
- GSE10878 Integrative Genome-wide Analysis of Glioblastoma. 60 samples same disease briefing · shares glioblastoma
- GSE112650 SOX4/11 Enhances NGN2 Reprogramming Glioblastoma Cells into Neuron Cells by Modulating RhoA and CDC42/RAC1 Pathway Activity 30 samples same disease briefing · 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.