Assessing Translational Relevance of Molecular Pathways in Spontaneous Lupus Mouse Models

A transcriptomic and molecular dataset from four spontaneous lupus mouse models (MRLlpr/lpr, NZB/W, BXSB.Yaa, Tlr7.Tg6) collected at four time points. The dataset includes RNA sequencing from blood, spleen, and kidney, flow cytometry, and plasma cytokine and autoantibody measurements, integrated with human SLE cohort data. Authored by María Rivas-Torrubia and last updated on 2026-05-13.

Use Cases

• Compare molecular pathway dysregulation between mouse models and human SLE based on transcriptome sequencing data.
• Identify time points of interest for experimental design based on the dynamics of phenotype-associated molecular signatures.
• Evaluate the translational relevance of specific immune pathways, such as interferon responses and T/B cell depletion.
• Study the relationship between disease severity and the extent/timing of molecular dysregulations across models.

Strengths

• Includes data from four distinct spontaneous lupus mouse models, enabling comparative analysis.
• Contains longitudinal data collected at four time points, allowing for dynamic pathway analysis.
• Integrates multiple data types: transcriptome sequencing, flow cytometry, and plasma cytokine/autoantibody measurements.
• Directly compares mouse model pathways with human SLE data from the PRECISESADS cohort.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Experimental data from mouse models and integration with human cohort data.

Freshness

Last updated 2026-05-13 05:58:14; freshness should be verified.