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Identification of Pathogenic Immune Cell Subsets in Checkpoint Inhibitor-induced Myocarditis

GSE180045 Homo sapiens (human) Single-cell RNA-seq 65 samples Submitted 2022/06/29 Platform GPL24676Platform GPL24247
At a glance

Single-cell RNA-seq · human · 65 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
65 samples
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.
Summary (written by the submitters)
Immune checkpoint inhibitors (ICIs) are monoclonal antibodies used widely to activate the immune system against tumor cells. Despite their therapeutic benefits, ICIs are known to cause immune-related adverse events (irAE) such as myocarditis, a rare but serious side effect with up to 50% mortality. To identify pathogenic immune subset(s) responsible for ICI myocarditis and other irAE, we performed single cell mass cytometry (CyTOF) on peripheral blood mononuclear cells from 40 patients and controls with irAE including four patients with ICI myocarditis.
Read the full summary ↓
We also profiled 15 patients/controls using single cell RNA sequencing (scRNA-seq) with feature barcoding for surface marker expression confirmation. In both CyTOF/scRNAseq analyses, we found expansions of cytotoxic CD8+ T effector cells re-expressing CD45RA (Temra CD8+ cells) in ICI myocarditis patients compared to controls. Using T cell receptor sequencing, we demonstrated a significant clonal expansion of CD8+ Temra cells in myocarditis patients. Transcriptomic profiling of these Temra CD8+ clones confirmed their highly activated and cytotoxic phenotype with expression of granzyme/perforin. Longitudinal data revealed the progression of these Temra CD8+ cells into an exhausted phenotype two months after diagnosis of myocarditis and after treatment with glucocorticoids. Differential expression of several proinflammatory chemokines (CCL4/CCL4L2/CCL5) was uncovered in the clonally expanded Temra CD8+ cells and ligand-receptor analysis implicated their regulation of other inflammatory cells such as monocytes and NK cells. These data suggest that the therapeutic modulation of these chemokines may serve as an attractive strategy for reducing life-threatening irAE in ICI-treated cancer patients.
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE180045_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA746332 and SRA study SRP328212. Searching any of these in the dataset finder brings you back here.

Samples in this study

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