Multidimensional analysis reveals innate and adaptive immune features associated with toxicities in patients receiving checkpoint inhibitor therapy
RNA-seq (gene expression) · human · 72 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)
- Samples
- 72 samples: 72 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.
- Paper
- Innate and adaptive immune features associated with immune-related adverse eventsJournal for immunotherapy of cancer · 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 GSE249898_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 PRJNA1051108 and SRA study SRP477436. 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 72 sample titles: 72 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.
- GSM7966629 NM145, replicate 1, scRNA-seq, BL
- GSM7966630 NM145, replicate 1, scRNA-seq, Post
- GSM7966631 NM146, replicate 1, scRNA-seq, BL
- GSM7966632 NM146, replicate 1, scRNA-seq, Post
- GSM7966633 NM155, replicate 1, scRNA-seq, BL
- GSM7966634 NM155, replicate 1, scRNA-seq, Post
- GSM7966635 NM161, replicate 1, scRNA-seq, BL
- GSM7966636 NM161, replicate 1, scRNA-seq, Post
- GSM7966637 NM21, replicate 1, scRNA-seq, BL
- GSM7966638 NM21, replicate 1, scRNA-seq, Post
- GSM7966639 NM22, replicate 1, scRNA-seq, BL
- GSM7966640 NM22, replicate 1, scRNA-seq, Post
- GSM7966641 NM23, replicate 1, scRNA-seq, BL
- GSM7966642 NM23, replicate 1, scRNA-seq, Post
- GSM7966643 NM24, replicate 2, scRNA-seq, BL
- GSM7966644 NM24, replicate 2, scRNA-seq, Post
- GSM7966645 NM25, replicate 1, scRNA-seq, BL
- GSM7966646 NM25, replicate 1, scRNA-seq, Post
- GSM7966647 NM31, replicate 1, scRNA-seq, BL
- GSM7966648 NM31, replicate 1, scRNA-seq, Post
- GSM7966649 NM32, replicate 1, scRNA-seq, BL
- GSM7966650 NM32, replicate 1, scRNA-seq, Post
- GSM7966651 NM33, replicate 1, scRNA-seq, BL
- GSM7966652 NM33, replicate 1, scRNA-seq, Post
- GSM7966653 NM34, replicate 1, scRNA-seq, BL
- GSM7966654 NM34, replicate 1, scRNA-seq, Post
- GSM7966655 NM4, replicate 2, scRNA-seq, BL
- GSM7966656 NM4, replicate 2, scRNA-seq, Post
- GSM7966657 NM59, replicate 1, scRNA-seq, BL
- GSM7966658 NM59, replicate 1, scRNA-seq, Post
- GSM7966659 NM62, replicate 1, scRNA-seq, BL
- GSM7966660 NM62, replicate 1, scRNA-seq, Post
- GSM7966661 NM63, replicate 1, scRNA-seq, BL
- GSM7966662 NM63, replicate 1, scRNA-seq, Post
- GSM7966663 NM64, replicate 2, scRNA-seq, BL
- GSM7966664 NM64, replicate 2, scRNA-seq, Post
- GSM7966665 NM65, replicate 2, scRNA-seq, BL
- GSM7966666 NM65, replicate 2, scRNA-seq, Post
- GSM7966667 NM67, replicate 1, scRNA-seq, BL
- GSM7966668 NM67, replicate 1, scRNA-seq, Post
+ 32 more — browse all 72 samples with per-sample file links →
- GSE205335 Single-cell transcriptome profiles of tumor tissues from lung cancer patients receiving immune checkpoint inhibitors. 33 samples shares checkpoint, receiving, inhibitor
- GSE274983 Soluble Mesothelin-Related Peptide as a Prognosticator in Pleural Mesothelioma Patients Receiving Checkpoint Immunotherapy 18 samples shares checkpoint, receiving, therapy
- GSE314283 High throughput sequencing of T cells from a patient undergoing immune checkpoint inhibitor therapy 9 samples shares checkpoint, inhibitor, therapy
- GSE228597 Immunologic drivers of immune checkpoint inhibitor therapy myocarditis, fatality and anti-tumor response in cancer patients 75 samples shares checkpoint, inhibitor, therapy
- GSE278119 Clonally expanded effector CD4+ cytotoxic T lymphocytes are associated with severe neurological adverse events after immune checkpoint inhibitor therapy 44 samples shares checkpoint, inhibitor, therapy
- GSE270047 Analytical performance of OncoPrism-HNSCC, an RNA-based assay to inform immune checkpoint inhibitor treatment decisions for recurrent/metastatic head and neck squamous cell carcinoma 434 samples shares checkpoint, inhibitor
- GSE310957 DeCAF redefines fibroblast states uncovering multidimensional tumor-stroma relationships driving clinical tumor progression and immunotherapy response [RNA-Seq] 129 samples shares multidimensional, therapy
- GSE287540 Transcriptomic and proteomic characterization of cell and protein biomarkers of checkpoint inhibitor-induced liver injury [bulk RNA-seq] 128 samples shares checkpoint, inhibitor
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.