Single-Cell and Bulk RNA-Seq of Spinal Tuberculosis and Brucellar Spondylitis Tissues

67,274 high-quality cells from infected nucleus pulposus tissues were analyzed, combining single-cell RNA sequencing (6 samples) with bulk RNA sequencing (12 samples). The dataset was created by Zongqiang Yang and last updated on 2026-05-19. It reveals divergent T-cell immune circuits and a shared osteo-immune pathway in spinal tuberculosis and brucellar spondylitis.

Use Cases

• Compare immune cell heterogeneity between spinal tuberculosis and brucellar spondylitis based on single-cell resolved populations.
• Analyze T-cell subset architecture and functional programs like exhaustion or cytotoxicity based on AUCell scoring.
• Investigate convergent pathways like osteoclast differentiation based on integrated single-cell and bulk transcriptomic signatures.
• Model cell-cell communication networks based on described MHC-I and MHC-II axes.

Strengths

• Integrated analysis of 67,274 single cells from 6 patients and bulk RNA-seq from 12 patients.
• Multi-modal approach combining single-cell resolution with bulk transcriptional signatures.
• Clear biological findings described, including nine major cell populations and divergent T-cell circuits.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Sample sizes for single-cell (n=3 per condition) and bulk (n=7 and n=5) are relatively small.

Provenance

Source

figshare, author Zongqiang Yang.

Collection Method

Integrated transcriptomic profiling of infected nucleus pulposus tissues from patients, combining single-cell and bulk RNA sequencing.

Freshness

Last updated 2026-05-19 05:38:30; freshness should be verified.