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Inhibition of CXCL10 and IFN-γ ameliorates myocarditis in preclinical models of SARS-CoV- 2 mRNA vaccination

GSE254537 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/10/20 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 24 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
Inhibition of CXCL10 and IFN-γ ameliorates myocarditis in preclinical models of SARS-CoV-2 mRNA vaccinationScience translational medicine · 2025
Summary (written by the submitters)
The mRNA vaccines against COVID-19 are highly effective yet associated with rare myocarditis cases, particularly in young males post-second dose. Here we explore the mediators of this adverse effect and its potential solutions, aiming to enhance the safety of future mRNA vaccines. Analysis of post-vaccination plasma highlighted a substantial increase in CXCL10 and IFN-γ levels in patients.
Read the full summary ↓
Correspondingly, human iPSC-derived macrophages exposed to COVID-19 mRNA vaccines exhibited increased production of these two cytokines. iPSC-derived cardiomyocytes subjected to these cytokines exhibited impaired contractility, arrhythmogenicity, and myocarditis-like gene expression patterns. Genistein, an anti-inflammatory phytoestrogen, notably mitigated these effects, reducing cytokine-induced proteasomal degradation of cardiac proteins and preserving contractile function. In vivo, genistein significantly decreased cardiac injury markers and immune cell infiltration in a mouse model of cytokine-induced myocarditis. These findings underscore CXCL10 and IFN-γ as key mediators of myocarditis post-mRNA vaccination and propose genistein as a potential therapeutic to mitigate associated cardiovascular risks.
Published in
Inhibition of CXCL10 and IFN-γ ameliorates myocarditis in preclinical models of SARS-CoV-2 mRNA vaccination
Cao X, Manhas A, Chen YI et al. · Science translational medicine 2025 · PMID 41370400 · doi:10.1126/scitranslmed.adq0143
This dataset
Open GSE254537 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE254537_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1070999 and SRA study SRP486716. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41370400) ↗
Study design
24 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 24 sample titles: 24 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.

Samples in this study
Datasets on a similar topic

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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.