Table 1_Single cell transcriptome signatures and cell-cell interactions associated with sa

Single-cell RNA-seq data from 16 sarcoidosis cases and 14 healthy controls analyzed by Camille M. Moore, last updated in 2026. The dataset captures gene expression patterns and cell-cell communication changes in bronchoalveolar lavage cells, highlighting alterations in macrophages, T cells, and B cells associated with the disease. It includes results from differential expression, pathway, and ligand-receptor interaction analyses.

Use Cases

• Identify disease-associated gene signatures based on differential expression in macrophage subsets.
• Analyze disrupted cell-cell communication networks based on ligand-receptor interaction data.
• Investigate immune cell population shifts based on the reported reduction in B cells.
• Explore transcriptional pathways and upstream regulators in CD4+ T cells based on reported activation of TNF, IFNG, and IL1B.

Strengths

• Includes data from 30 total samples (16 cases, 14 controls), providing a comparative baseline.
• Distinguishes between progressive and non-progressive sarcoidosis cases (8 each), enabling progression analysis.
• Applies multiple analytical methods: pseudobulk differential expression, Ingenuity Pathway Analysis, and CellChat for cell communication.

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 at 11.0 KB, indicating it contains summary or processed results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Single-cell RNA sequencing of bronchoalveolar lavage cells from patients and controls.

Freshness

Last updated 2026-05-26 04:40:50; freshness should be verified.