Harmonized single-cell landscape, intercellular crosstalk and tumor architecture of glioblastoma
Single-cell RNA-seq · human · 11 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Topic
- GlioblastomaThis series is part of our curated briefing on it.
- Samples
- 11 samples: 7 × NH17 vs 2 × NH19Groups 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
- Charting the single-cell and spatial landscape of IDH-wild-type glioblastoma with GBmapNeuro-oncology · 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 GSE211376_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA870065. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 2 replicated groups read from 11 sample titles; they account for 9 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.
- GSM6467706 NH16-2366
- GSM6467707 NH17-161 NH17
- GSM6467708 NH17-442 NH17
- GSM6467709 NH17-1245 NH17
- GSM6467710 NH17-1258 NH17
- GSM6467711 NH17-1953 NH17
- GSM6467712 NH17-2069 NH17
- GSM6467713 NH17-2680 NH17
- GSM6467714 NH18-1406
- GSM6467715 NH19-123 NH19
- GSM6467716 NH19-565 NH19
- 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
- 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
- GSE112645 SOXC factors as suppressors modulate Rho activity to promote neuronal reprogramming of human glioblastoma cells 12 samples same disease briefing · shares glioblastoma
- GSE115459 Exosome-transmitted RVT1 from reactive astrocytes promotes recurrence glioblastoma proliferation 9 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.