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TGFβ links EBV to multisystem inflammatory syndrome in children

GSE254179 Homo sapiens (human) RNA-seq (gene expression) 52 samples Submitted 2024/12/30 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 52 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
52 samples: 52 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
TGFβ links EBV to multisystem inflammatory syndrome in childrenNature · 2025
Summary (written by the submitters)
In a subset of children and adolescents, SARS-CoV-2 infection leads to multisystem inflammatory syndrome in children (MIS-C), a severe hyperinflammatory shock occurring 4-8 weeks post-infection. MIS-C is characterized by a specific expansion of TCRVβ21.3+ T-cells and systemic hyperinflammation, with an unclear pathogenesis. Here, we show that acute MIS-C exhibits impaired reactivation of virus-specific memory T cells due to elevated TGF-β levels, mirroring severe COVID-19 in adults.
Read the full summary ↓
Functionally, the impaired T-cell cytotoxicity is accompanied by TGF-β-response signatures and reduced antigen-presentation capabilities of monocytes, reversible by TGF-β blockade. MIS-C TCRVβ21.3+ T cells resemble Epstein-Barr Virus (EBV)-reactive T cells, displaying enhanced capability in eliminating EBV-infected B cells. Clinically, active MIS-C correlates with TGF-β-induced defects in T-cell cytotoxicity, elevated EBV seroprevalence, and EBV-reactivation. Our findings establish a connection between SARS-CoV-2 infection and COVID-19 sequelae in children, where reduced T-cell cytotoxicity induced by SARS-CoV-2-triggered TGF-β overproduction leads to EBV-reactivation and contributes to hyperinflammation.
Published in
TGFβ links EBV to multisystem inflammatory syndrome in children
Goetzke CC, Massoud M, Frischbutter S et al. · Nature 2025 · PMID 40074901 · doi:10.1038/s41586-025-08697-6
This dataset
Open GSE254179 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 GSE254179_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 PRJNA1068943 and SRA study SRP485868. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40074901) ↗
Study design
52 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 38 samples read as cases, 4 as controls.

How we read this: Read from 52 sample titles: 52 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

+ 12 more — browse all 52 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.