Mouse Osteomyelitis Immune Landscape from Single-Cell and Bulk RNA-Seq

27.7 KB of transcriptomic data from mouse osteomyelitis samples in dataset GSE168896. The data includes results from fuzzy c-means clustering and immune cell infiltration analysis, identifying six gene clusters and seven cellular subpopulations. It was authored by Zhenhua Zhu and last updated on 2026-03-18.

Use Cases

• Identify temporal gene expression patterns in osteomyelitis based on the six described gene clusters.
• Characterize immune cell subpopulations based on the seven distinct cellular groups identified via single-cell sequencing.
• Investigate macrophage-specific signaling pathways based on the described Mif+Cd63+, Arg1+Sdc4+, and Cxcl1+Ccl4+ subtypes.
• Analyze ligand-receptor interactions in immune cells based on the highlighted Ccl3–Ccr1 and Cxcl2–Cxcr2 pairs.

Strengths

• Data is derived from a specific, referenced dataset (GSE168896).
• Analysis includes both single-cell and bulk transcriptomic approaches.
• Results identify specific macrophage subtypes (e.g., Arg1+Sdc4+) and signaling pathways.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 27.7 KB file size suggests a limited, likely summary-level dataset.

Provenance

Source

figshare, author Zhenhua Zhu.

Collection Method

Analysis of time-series transcriptomic sequencing data from mouse osteomyelitis samples (GSE168896) using fuzzy c-means clustering and ImmuCellAI-mouse tool.

Freshness

Last updated 2026-03-18 07:37:11; freshness should be verified.