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Early immune responses in the lung and blood following a randomized controlled human inhaled infection with aerosolized attenuated Mycobacterium Bovis BCG in healthy, BCG-naïve, UK adults

GSE282132 Homo sapiens (human) Single-cell RNA-seq 12 samples Submitted 2025/04/28 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 12 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
12 samples: 3 × BAL, Saline D2, vs 3 × BAL, BCG D2, vs 3 × BAL, BCG D7, vs 3 × BAL, Saline D7,Groups 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
Early mucosal responses following a randomised controlled human inhaled infection with attenuated Mycobacterium bovis BCGNature communications · 2025
Summary (written by the submitters)
We utilise an aerosol mycobacterial human challenge model using attenuated M.bovis BCG, in BCG-naïve UK adult volunteers, to define the initial innate and adaptive immune events at the airway parenchymal interface, and in the blood. Blinded volunteers were randomised to inhale 1x10^7 CFU aerosolised BCG Danish or 0.9% saline (20:6); and sequentially allocated to bronchoscopy at day 2 or 7 post-inhalation (10 BCG, 3 saline each timepoint). scRNA-seq was conducted using the Bronchoalveolar lavage (BAL) samples collected 2 days and 7 days post-aerosol BCG infection and from the saline controls.
Published in
Early mucosal responses following a randomised controlled human inhaled infection with attenuated Mycobacterium bovis BCG
Marshall JL, Satti I, Surakhy M et al. · Nature communications 2025 · PMID 40442144 · doi:10.1038/s41467-025-60285-4
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 GSE282132_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 PRJNA1185950 and SRA study SRP545165. Searching any of these in the dataset finder brings you back here.

Study design
3 × BAL, Saline D2, vs 3 × BAL, BCG D2, vs 3 × BAL, BCG D7, vs 3 × BAL, Saline D7,

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. 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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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.