Table 6_Single cell transcriptome signatures and cell-cell interactions associated with sa

16 sarcoidosis cases and 14 healthy controls were analyzed using single-cell RNA sequencing of bronchoalveolar lavage cells. The data includes differential gene expression, pathway analysis, and cell-cell interaction results for macrophage and T cell populations. Author Camille M. Moore published the findings on figshare under a CC-BY-4.0 license.

Use Cases

• Identify disease-associated gene expression changes based on differential expression in resident, recruited, and proliferating macrophages.
• Investigate immune cell communication networks based on CellChat analysis of ligand-receptor interactions.
• Compare transcriptional profiles between progressive and non-progressive sarcoidosis based on patient stratification.
• Explore upstream regulatory mechanisms in CD4+ T cells based on activation of TNF, IFNG, and IL1B pathways.

Strengths

• Includes data from 30 total samples (16 patients, 14 controls), providing a basis for comparative analysis.
• Analysis covers multiple cell types and interaction types, including differential expression, pathway enrichment, and cell-cell communication.
• Data is shared under a permissive CC-BY-4.0 license, allowing for broad reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (11.4 KB), indicating it likely contains summary results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Single-cell RNA sequencing performed on bronchoalveolar lavage cells, analyzed with pseudobulk differential expression, Ingenuity Pathway Analysis, and CellChat.

Freshness

Last updated 2026-05-26 04:40:48; freshness should be verified.