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CoMtb alters the immune landscape following Mtb infection [C3H scRNAseq]

GSE265843 Mus musculus (mouse) Single-cell RNA-seq 46 samples Submitted 2024/04/29 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 46 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
46 samples: 12 conditions, mostly with about 4 replicates eachGroups 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 and opposing neutrophil and CD4 T cell responses shape pulmonary tuberculosis pathologyThe Journal of experimental medicine · 2025
Summary (written by the submitters)
To gain further insights into lesion development and effects of CoMtb on immune responses during infection. we performed single-cell RNA sequencing (scRNAseq) and flow cytometry analysis of lungs from Mtb-infected animals with and without CoMtb immediately pre-infection and at 10. 17 and 34 days after CD infection. We found that CoMtb induces rapid recruitment and activation of T cells. macrophage activation. and diminished late neutrophil responses.
Published in
Early and opposing neutrophil and CD4 T cell responses shape pulmonary tuberculosis pathology
Gern BH, Klas JM, Foster KA et al. · The Journal of experimental medicine 2025 · PMID 40736456 · doi:10.1084/jem.20250161
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 GSE265843_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 PRJNA1104528 and SRA study SRP503995. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly with about 4 replicates each
C.cotb.Rv.d17 ×4 C.cotb.Rv.d34 ×4 C.cotb.SA.d10 ×4 C.cotb.SA.d17 ×4 C.cotb.SA.d34 ×4 C.cotb.none.d0 ×4 C.unvax.Rv.d17 ×4 C.unvax.Rv.d34 ×4 +4 more

Supports a between-group comparison across 46 samples.

How we read this: 12 replicated groups read from 46 sample titles; they account for 46 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

+ 6 more — browse all 46 samples with per-sample file links →

Datasets on a similar topic

Search all mouse 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.