Cross-Disease Immune Cell Atlas for Five Rheumatic Diseases

A single-cell transcriptome atlas compares peripheral blood mononuclear cells across five rheumatic diseases and healthy controls. The dataset, authored by Liqing Ding and shared under a CC-BY-4.0 license, was last updated on May 13, 2026. It systematically characterizes shared and disease-specific immune dysregulation patterns.

Use Cases

• Identify shared immune dysregulation modules across diseases based on single-cell transcriptome data.
• Compare disease-specific myeloid cell activation states mentioned in the description.
• Analyze cell-cell communication networks via signaling pathways like MIF and GALECTIN.
• Investigate functional impairment in specific cell types, such as γδ T cells.

Strengths

• Integrated data from five distinct rheumatic diseases and healthy controls for systematic comparison.
• Focuses on single-cell resolution, allowing for detailed cell-type-specific analysis.
• Dataset is openly shared under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is provided as a 5.7 MB PDF, which may require extraction of underlying tables.

Provenance

Source

figshare

Collection Method

Integrated single-cell transcriptome data from peripheral blood mononuclear cells.

Freshness

Last updated 2026-05-13 04:48:02; freshness should be verified.