Data Sheet 1_Cross-disease immune cells atlas reveals the similarities and differences of

A single-cell transcriptome dataset integrates peripheral blood mononuclear cell data from patients with five rheumatic diseases and healthy controls. The data was uploaded by author Liqing Ding to figshare on 2026-05-13. The 89.1 KB PDF likely contains analysis results, including cell characteristics and interaction networks.

Use Cases

• Identify shared immune dysregulation modules across rheumatic diseases based on the described analysis of γδ T cell function.
• Analyze cell-cell communication networks based on the described MIF and GALECTIN signaling pathways between T cells and myeloid cells.
• Compare disease-specific myeloid cell activation states based on the described differences in Behçet’s disease and systemic lupus erythematosus.

Strengths

• Data integrates samples from five distinct rheumatic diseases and healthy controls, enabling cross-disease comparison.
• Analysis reveals specific findings, such as impaired γδ T cell function in all five diseases.
• The dataset is openly licensed under CC-BY-4.0 for reuse.

Limitations

• The dataset is small at 89.1 KB, suggesting it contains summary results rather than raw sequencing data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

figshare

Collection Method

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

Freshness

Last updated 2026-05-13 04:47:59; freshness should be verified.