Per-Mouse Experimental Data for Tuberculosis Immune Response Dynamics

Fergal J. Duffy published single-cell RNA sequencing data from mouse lung immune cells on 2026-04-27. The dataset, hosted on figshare, compares immune responses in naive mice and mice with contained Mycobacterium tuberculosis infection across multiple time points, mouse strains, and Mtb strains. It is a small dataset at 443.0 B, focusing on the timing and coordination of protective immune pathways.

Use Cases

• Identify immune correlates of protection against Mtb based on single-cell transcriptional profiles.
• Compare temporal patterns of immune activation and resolution between primary and contained infection models.
• Analyze cell-cell communication networks based on chemokine signaling data mentioned in the description.
• Validate transcriptional features observed in nonhuman primate vaccination studies against mouse model data.

Strengths

• Data compares multiple experimental conditions: naive vs. contained infection, multiple time points, mouse strains, and Mtb strains.
• Includes single-cell RNA sequencing data, allowing for high-resolution analysis of immune cell states.
• Licensed under CC-BY-4.0, permitting open sharing and adaptation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (443.0 B), suggesting it may contain summary or metadata rather than the full experimental data.

Provenance

Source

figshare

Collection Method

Single-cell RNA sequencing of lung immune cells from aerosol-infected mice.

Time Range

Experimental time points are referenced but not explicitly defined.

Freshness

Last updated 2026-04-27 17:26:12; freshness should be verified.

Geography

Laboratory mouse study; geographic origin of data collection is unknown.