Immune and tumor cell landscape in pediatric high grade gliomas
Single-cell RNA-seq · human · 15 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 15 samples: 7 × H3K27M_P vs 3 × H3WT_hemi_P vs 2 × H3WT_hemi_P5 vs 2 × H3G34R_PGroups 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
- Dissecting the immune landscape in pediatric high-grade glioma reveals cell state changes under therapeutic pressureCell reports. Medicine · 2025
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 GSE227983_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 PRJNA947620. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 14 samples.
How we read this: 4 replicated groups read from 15 sample titles; they account for 14 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.
- GSM7111748 H3WT_hemi_P5_R2 H3WT_hemi_P5
- GSM7111749 H3WT_hemi_P5_R3 H3WT_hemi_P5
- GSM7111750 H3WT_mid_P1
- GSM7111751 H3K27M_P1 H3K27M_P
- GSM7111752 H3K27M_P2 H3K27M_P
- GSM7111753 H3K27M_P3 H3K27M_P
- GSM7111754 H3K27M_P4 H3K27M_P
- GSM7111755 H3WT_hemi_P1 H3WT_hemi_P
- GSM7111757 H3G34R_P1 H3G34R_P
- GSM7111766 H3K27M_P6 H3K27M_P
- GSM7111767 H3G34R_P2 H3G34R_P
- GSM7111768 H3K27M_P5 H3K27M_P
- GSM7111769 H3WT_hemi_P2 H3WT_hemi_P
- GSM7111770 H3WT_hemi_P3 H3WT_hemi_P
- GSM7111771 H3K27M_P9 H3K27M_P
- GSE292623 A longitudinal single-cell and spatial multiomic atlas of pediatric high-grade glioma 18 samples shares pediatric, grade
- GSE300244 Boosting CAR T-cell functionality with oncolytic viruses for the treatment of pediatric diffuse midline gliomas 42 samples shares pediatric, gliomas
- GSE261512 PRMT5 promotes growth of pediatric high grade glioma [bulk RNA-seq] 20 samples shares pediatric, grade
- GSE290825 Metabolic Profiling of Adult and Pediatric Gliomas Reveals Enriched Glucose Availability in Pediatric Gliomas and Increased Fatty Acid Oxidation in Adult Gliomas 48 samples shares pediatric, gliomas
- GSE261514 PRMT5 promotes growth of pediatric high grade glioma. 50 samples shares pediatric, grade
- GSE269555 Targeting the oncohistone-ASCL1 axis disrupts plasticity and suppresses pediatric gliomas [CUT&RUN] 39 samples shares pediatric, gliomas
- GSE279452 Multiomics Analyses Unveil Immune Landscape in Pediatric and Adult Sepsis [scRNA_seq] 266 samples shares pediatric
- GSE279448 Multiomics Analyses Unveil Immune Landscape in Pediatric and Adult Sepsis [bulk RNA-seq] 207 samples shares pediatric
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.