Assessing Translational Relevance of Molecular Pathways in Spontaneous Lupus Mouse Models

Transcriptomic, flow cytometry, cytokine, and autoantibody data from four spontaneous lupus mouse models (MRLlpr/lpr, NZB/W, BXSB.Yaa, Tlr7.Tg6) across four time points. The dataset was created by María Rivas-Torrubia and last updated on 2026-05-13. It integrates with human SLE cohort data to compare molecular pathways and disease activity.

Use Cases

• Compare molecular pathway dysregulation across different mouse models of lupus based on transcriptome, flow cytometry, and plasma measurements.
• Identify time points of interest for future experimental designs based on the dynamics of phenotype-associated molecular signatures described.
• Assess the translational relevance of mouse models by comparing identified pathways with those observed in human SLE from the PRECISESADS cohort.
• Investigate links between disease severity and the extent/timing of molecular dysregulations across models as described in the results.

Strengths

• Data integrates multiple molecular data types: transcriptome sequencing, flow cytometry, cytokines, and autoantibodies.
• Includes longitudinal data from four distinct time points for tracking disease progression.
• Compares four different spontaneous SLE mouse models (MRLlpr/lpr, NZB/W, BXSB.Yaa, Tlr7.Tg6) against human cohort data.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is small at 201.1 KB, indicating limited scope or summary-level data rather than raw experimental outputs.

Provenance

Source

figshare, author María Rivas-Torrubia

Collection Method

Experimental data from mouse models (transcriptome sequencing, flow cytometry, plasma assays) integrated with human cohort data.

Freshness

Last updated 2026-05-13 05:58:21