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High TSLP responses in the human infant airways are associated with pre-activated airway epithelial IFN antiviral immunity

GSE248828 Homo sapiens (human) RNA-seq (gene expression) 47 samples Submitted 2024/03/01 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 47 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
47 samples: 47 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
High TSLP responses in the human infant airways are associated with pre-activated airway epithelial IFN antiviral immunityImmunology · 2025
Summary (written by the submitters)
Introduction: Thymic Stromal Lymphopoietin (TSLP) is a primarily epithelial-derived cytokine that drives type 2 allergic immune responses. Early life viral respiratory infections elicit high TSLP production, which leads to the development of type 2 inflammation and airway hyperreactivity. The goal of this study was to examine in vivo and in vitro the human airway epithelial responses leading to high TSLP production during viral respiratory infections in early infancy.
Read the full summary ↓
Methods: A total of 129 infants (<1m – 24m, median age 10m) with severe viral respiratory infections were enrolled for in vivo (n=113), and in vitro studies (n=16). Infants were classified as “high TSLP” or “low TSLP” for values above or below the 50th percentile. High vs. low TSLP groups were compared in terms of type I-III IFN responses and production of chemokines promoting antiviral (CXCL10), neutrophilic (CXCL1, CXCL5, CXCL8), and type 2 responses (CCL11, CCL17, CCL22). Human infant airway epithelial cell (AEC) cultures were used to define the transcriptomic (RNAseq) profile leading to high vs. low TSLP responses in vitro. Results: Infants in the high TSLP group had greater in vivo type III IFN airway production (median type III IFN in high TSLP 183.2 pg/ml vs. 63.4 pg/ml in low TSLP group, p= 0.007) and increased in vitro type I-III IFN AEC responses after stimulation with a viral mimic (poly I:C). Our RNAseq data showed that infants in the high TSLP group had significant baseline upregulation of IFN signature genes (e.g., IFIT2, IFI6, MX1) and pro-inflammatory chemokine genes prior to viral mimic stimulation. Infants in the high TSLP group also showed a baseline AEC pro-inflammatory state characterized by increased production of all the chemokines assayed (e.g., CXCL10, CXCL8) in the absence of viral stimuli. Conclusion: High TSLP responses in the human infant airways are associated with pre-activated airway epithelial IFN antiviral immunity and increased baseline AEC production of pro-inflammatory chemokines. These findings present a new paradigm underlying the high production of TSLP in the human infant airway epithelium and shed light on the pathogenesis of viral respiratory illnesses during early infancy and beyond childhood.
Published in
High TSLP responses in the human infant airways are associated with pre-activated airway epithelial IFN antiviral immunity
Welham A, Chorvinsky E, Bhattacharya S et al. · Immunology 2025 · PMID 38148520 · doi:10.1111/imm.13741
This dataset
Open GSE248828 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 GSE248828_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 PRJNA1046076 and SRA study SRP474677. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38148520) ↗
Study design
47 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 47 sample titles: 47 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

+ 7 more — browse all 47 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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