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Therapy of allergic rhinitis using ribavirin spray to clear nasal commensal viruses

GSE275114 Homo sapiens (human) RNA-seq (gene expression) 70 samples Submitted 2024/08/21 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 70 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
70 samples: 42 distinct titles, 1 of them repeatedGroups 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
Therapy of allergic rhinitis using ribavirin spray to clear nasal commensal virusesSignal transduction and targeted therapy · 2026
Summary (written by the submitters)
For analyzing the exploratory nasal commensal viruses, we performed the metatranscriptomic analysis of the nose swabs from the enrolled AR patients both before and after treatments, as well as sequenced the nose swabs from a set of healthy volunteers without AR history.Simultaneously, to assess the expression of interferon-stimulated genes in patients with allergic rhinitis, we analyzed the gene expression of host reads.
Published in
Therapy of allergic rhinitis using ribavirin spray to clear nasal commensal viruses
Zhou Y, Wang T, Fan Y et al. · Signal transduction and targeted therapy 2026 · PMID 42350364 · doi:10.1038/s41392-026-02744-y
This dataset
Open GSE275114 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 GSE275114_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 PRJNA1149471 and SRA study SRP527203. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42350364) ↗
Study design
42 distinct titles, 1 of them repeated
HC ×29

How we read this: Read from 70 sample titles: 42 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

+ 30 more — browse all 70 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.