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

Single-cell and bulk RNA-seq data from mouse osteomyelitis samples reveals six gene clusters and seven immune cell subpopulations. The dataset, 602.4 KB in size, was uploaded by Zhenhua Zhu to figshare in March 2026. It highlights a significant increase in specific macrophage subtypes like Mif+Cd63+ and Arg1+Sdc4+ following infection.

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.
• Analyze macrophage infiltration dynamics based on the reported increase in specific subtypes like Arg1+Sdc4+ and Cxcl1+Ccl4+.
• Investigate ligand-receptor interactions in immune cells based on the highlighted Ccl3–Ccr1 and Cxcl2–Cxcr2 signaling pathways.

Strengths

• Data integrates both single-cell and bulk RNA-seq analysis for a multi-faceted view.
• Analysis identifies specific macrophage subtypes (e.g., Mif+Cd63+) and signaling pathways linked to disease.
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is small (602.4 KB), suggesting it contains processed results rather than raw sequencing data.
• Data is derived from a single mouse model dataset (GSE168896), which may limit generalizability.

Provenance

Source

figshare, uploaded by Zhenhua Zhu.

Collection Method

Analysis of time-series transcriptomic data from the public dataset GSE168896, using fuzzy c-means clustering and ImmuCellAI-mouse tool.

Freshness

Last updated 2026-03-18 07:37:12