Dual Immune Checkpoint Blockade Induces Distinct Systemic and Intratumoral Immune Activation in Recurrent Glioblastoma
RNA-seq (gene expression) · human · 226 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
- 226 samples: 226 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.
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 GSE318645_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 PRJNA1419709 and SRA study SRP675180. 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 226 sample titles: 226 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.
- GSM9499717 Patient 001, Tumor, RNAseq
- GSM9499718 Patient 002, Tumor, RNAseq
- GSM9499719 Patient 003, Tumor, RNAseq
- GSM9499720 Patient 004, Tumor, RNAseq
- GSM9499721 Patient 005, Tumor, RNAseq
- GSM9499722 Patient 006, Tumor, RNAseq
- GSM9499723 Patient 007, Tumor, RNAseq
- GSM9499724 Patient 008, Tumor, RNAseq
- GSM9499725 Patient 009, Tumor, RNAseq
- GSM9499726 Patient 010, Tumor, RNAseq
- GSM9499727 Patient 011, Tumor, RNAseq
- GSM9499728 Patient 012, Tumor, RNAseq
- GSM9499729 Patient 013, Tumor, RNAseq
- GSM9499730 Patient 014, Tumor, RNAseq
- GSM9499731 Patient 016, Tumor, RNAseq
- GSM9499732 Patient 017, Tumor, RNAseq
- GSM9499733 Patient 018, Tumor, RNAseq
- GSM9499734 Patient 021, Tumor, RNAseq
- GSM9499735 Patient 022, Tumor, RNAseq
- GSM9499736 Patient 024, Tumor, RNAseq
- GSM9499737 Patient 026, Tumor, RNAseq
- GSM9499738 Patient 027, Tumor, RNAseq
- GSM9499739 Patient 030, Tumor, RNAseq
- GSM9499740 Patient 031, Tumor, RNAseq
- GSM9499741 Patient 032, Tumor, RNAseq
- GSM9499742 Patient 033, Tumor, RNAseq
- GSM9499743 Patient 035, Tumor, RNAseq
- GSM9499744 Patient 036, Tumor, RNAseq
- GSM9499745 Patient 037, Tumor, RNAseq
- GSM9499746 Patient 038, Tumor, RNAseq
- GSM9499747 Patient 039, Tumor, RNAseq
- GSM9499748 Patient 040, Tumor, RNAseq
- GSM9499749 Patient 041, Tumor, RNAseq
- GSM9499750 Patient 042, Tumor, RNAseq
- GSM9499751 Patient 043, Tumor, RNAseq
- GSM9499752 Patient 045, Tumor, RNAseq
- GSM9499753 Patient 047, Tumor, RNAseq
- GSM9499754 Patient 049, Tumor, RNAseq
- GSM9499755 Patient 050, Tumor, RNAseq
- GSM9499756 Patient 051, Tumor, RNAseq
+ 186 more — browse all 226 samples with per-sample file links →
- 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.