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Shared roles of immune and stromal cells in the pathogenesis of human bronchiolitis obliterans syndrome

GSE290834 Homo sapiens (human) Single-cell RNA-seq 21 samples Submitted 2025/04/10 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 21 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
21 samples: 20 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
Shared roles of immune and stromal cells in the pathogenesis of human bronchiolitis obliterans syndromeJCI insight · 2025
Summary (written by the submitters)
We performed single cell RNA sequencing using the 10X genomics platform on explanted human lungs from 4 CLAD-BOS patients, 3 cGVHD-BOS patients, and 3 deceased controls to identify cell types, genes, and pathways enriched in BOS to better understand disease mechanisms
Published in
Shared roles of immune and stromal cells in the pathogenesis of human bronchiolitis obliterans syndrome
Mellors PW, Lange AN, Casino Remondo B et al. · JCI insight 2025 · PMID 40232854 · doi:10.1172/jci.insight.176596
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 GSE290834_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 PRJNA1230197. Searching any of these in the dataset finder brings you back here.

Study design
20 distinct titles, 1 of them repeated
R710000652_CD45neg ×2

How we read this: Read from 21 sample titles: 20 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
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