Table 3_Single cell transcriptome signatures and cell-cell interactions associated with sa

Single-cell RNA-seq data from bronchoalveolar lavage cells of 16 sarcoidosis patients and 14 healthy controls, analyzed for differential gene expression and cell-cell communication. The dataset, authored by Camille M. Moore and shared on figshare under a CC-BY-4.0 license, was last updated on 2026-05-26. It includes findings on transcriptional alterations in macrophage and T cell populations associated with sarcoidosis development and progression.

Use Cases

• Identify disease-associated gene expression patterns based on differential expression analysis of macrophage subtypes.
• Investigate immune cell communication networks based on ligand-receptor interaction analysis performed with CellChat.
• Compare cellular composition changes based on the reported reduction in B cell numbers in sarcoidosis patients.
• Analyze pathway dysregulation based on upstream regulator activation (e.g., TNF, IFNG, IL1B) in CD4+ T cells.

Strengths

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

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (12.1 KB), indicating limited scope or summary-level data.

Provenance

Source

figshare

Collection Method

Single-cell RNA sequencing of bronchoalveolar lavage cells.

Freshness

Last updated 2026-05-26 04:40:49; freshness should be verified.