Targeting chemokine crosstalk between T-cells and macrophages to treat immune checkpoint inhibito-mediated myocarditis
RNA-seq (gene expression) · mouse · 68 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
- Mus musculus (mouse)
- Samples
- 68 samples: 68 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
- Novel Therapeutic Approach Targeting CXCR3 to Treat Immunotherapy MyocarditisCirculation research · 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 GSE250056_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 PRJNA1051857 and SRA study SRP477732. 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 68 sample titles: 68 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.
- GSM7972066 pbmc10-scRNA
- GSM7972067 pbmc11-scRNA
- GSM7972068 pbmc12-scRNA
- GSM7972069 pbmc13-scRNA
- GSM7972070 pbmc14-scRNA
- GSM7972071 pbmc15-scRNA
- GSM7972072 pbmc7-scRNA
- GSM7972073 pbmc8-scRNA
- GSM7972074 PBMC10-TCR
- GSM7972075 PBMC11-TCR
- GSM7972076 PBMC12-TCR
- GSM7972077 PBMC13-TCR
- GSM7972078 PBMC14-TCR
- GSM7972079 PBMC15-TCR
- GSM7972080 PBMC7-TCR
- GSM7972081 PBMC8-TCR
- GSM7972082 PBMC12-Feature
- GSM7972083 PBMC13-Feature
- GSM7972084 PBMC14-Feature
- GSM7972085 PBMC15-Feature
- GSM7972086 pbmc16-scRNA
- GSM7972087 pbmc17-scRNA
- GSM7972088 pbmc18-scRNA
- GSM7972089 pbmc19-scRNA
- GSM7972090 pbmc20-scRNA
- GSM7972091 pbmc21-scRNA
- GSM7972092 pbmc22-scRNA
- GSM7972093 pbmc31-scRNA
- GSM7972094 pbmc32-scRNA
- GSM7972095 pbmc33-scRNA
- GSM7972096 PBMC16-TCR
- GSM7972097 PBMC17-TCR
- GSM7972098 PBMC18-TCR
- GSM7972099 PBMC19-TCR
- GSM7972100 PBMC20-TCR
- GSM7972101 PBMC21-TCR
- GSM7972102 PBMC22-TCR
- GSM7972103 PBMC31-TCR
- GSM7972104 PBMC32-TCR
- GSM7972105 PBMC33-TCR
+ 28 more — browse all 68 samples with per-sample file links →
- GSE291447 Targeting CD11b+ regulatory B cells via RAS/RAF/PI3K pathway inhibition augments response to immune checkpoint blockade or CD40 agonism in metastatic melanoma 60 samples shares checkpoint, targeting
- GSE250551 Targeting inflammation with chimeric antigen receptor macrophages using a signal switch 32 samples shares macrophages, targeting
- GSE300288 Single-cell and spatial transcriptomics analysis of tobacco-associated lung adenocarcinoma development, and in response to targeting inflammation alone or in combination with immune checkpoint blockade in precancerous phase [scRNA-seq] 31 samples shares checkpoint, targeting
- GSE337190 CAR-NKT cells induce low cytokine release syndrome by targeting hyperinflammatory macrophages with mitigation from GM-SCF inhibition. 24 samples shares macrophages, targeting
- GSE272424 Rejuvenating endogenous antitumor immunity via a chimeric receptor-engineered oncolytic virus targeting tumor-associated macrophages 6 samples shares macrophages, targeting
- GSE270050 Expansion of Tumor-Infiltrating CD8+ T Cell Clonotypes Occurs in the Spleen in Response to Immune Checkpoint Blockade 29 samples shares checkpoint
- GSE285414 Functional memory T cells are derived from exhausted clones and expanded by checkpoint blockade [scRNATCR_rechallenge] 21 samples shares checkpoint
- GSE272755 Transcriptional effects of lysosome stress on mouse bone marrow-derived macrophages and primary microglia 263 samples shares macrophages
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.