Table 4_Single cell transcriptome signatures and cell-cell interactions associated with sa

Single-cell RNA sequencing data from 16 sarcoidosis patients and 14 healthy controls characterizes immune cell composition, gene expression, and cell-cell communication in bronchoalveolar lavage cells. The dataset includes analysis of differential gene expression, pathway enrichment, and ligand-receptor interactions across macrophage and T cell populations. It was authored by Camille M. Moore and last updated on 2026-05-26.

Use Cases

• Identify disease-associated gene expression patterns based on differential expression analysis of macrophage subtypes.
• Investigate disrupted cell-cell communication networks based on CellChat ligand-receptor interaction analysis.
• Compare immune cell population proportions based on bronchoalveolar lavage samples from sarcoidosis patients and controls.
• Analyze upstream regulatory pathways based on Ingenuity Pathway Analysis results for CD4+ T cells.

Strengths

• Data includes 30 total samples (16 sarcoidosis cases and 14 controls), providing a basis for comparative analysis.
• Analysis distinguishes between progressive and non-progressive sarcoidosis cases (8 each), enabling progression-related studies.
• Dataset includes results from multiple analytical methods: differential expression, pathway analysis, and cell-cell interaction mapping.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment and requires manual inspection.
• The dataset is very small at 12.5 KB, suggesting it contains summary results rather than raw sequencing data.
• Description metadata is limited; actual data quality and field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Single-cell RNA sequencing performed on bronchoalveolar lavage cells.

Freshness

Last updated 2026-05-26 04:40:49