Temporal Transcriptional Dynamics in a Mouse Model of Cutaneous Leishmaniasis

Jessica Lobo-Silva's dataset contains bulk RNA sequencing data from skin lesions and draining lymph nodes in a BALB/c mouse model infected with Leishmania braziliensis. The data includes differential gene expression, pathway enrichment, and gene co-expression network analyses across six time points from 2 hours to 77 days post-infection. It was published on figshare under a CC-BY-4.0 license.

Use Cases

• Identify host-directed therapeutic targets based on conserved microRNAs and epigenetic regulators like Mir155 and Kdm6b.
• Analyze stage-specific gene modules associated with early innate responses, tissue damage, and skin barrier remodeling.
• Perform cross-species comparison of ulcerated lesions to validate the mouse model against human disease pathways.
• Study longitudinal gene expression patterns linked to macrophage polarization and nitric oxide metabolism.

Strengths

• Provides a longitudinal framework with data from six distinct time points spanning from 2 hours to 77 days post-infection.
• Mouse lesions at Day 35 recapitulated 77% of inflammatory pathways described in human cutaneous leishmaniasis.
• Cross-species analysis identified 16 conserved microRNAs and 12 shared epigenetic regulators.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 12.8 KB, indicating limited scope.

Provenance

Source

Jessica Lobo-Silva

Collection Method

Bulk RNA sequencing performed on samples from a BALB/c ear dermal mouse model infected with L. braziliensis.

Time Range

Data collected at 2, 6, and 48 hours and at 14, 35, and 77 days post-infection.

Freshness

Last updated 2026-05-12 04:20:15; freshness should be verified.