Single-Nucleus RNA-Seq Data from Human Adipose Tissue in Type 2 Diabetes

Haibin Ji published this dataset on figshare on 2026-05-04. The data comprises single-nucleus RNA sequencing profiles from subcutaneous white adipose tissue biopsies of 6 patients with type 2 diabetes and 7 non-diabetic controls. It supports the analysis of mitochondrial stress and immune cell interactions in diabetic adipose tissue.

Use Cases

• Identify stress-enriched adipocyte states based on upregulated mitophagy and vesicle trafficking gene signatures.
• Analyze immunometabolic rewiring in lipid-associated macrophage subsets using differential expression and pathway scoring.
• Map intercellular communication between adipocytes and macrophages using inferred ligand-receptor interactions.
• Construct pseudotime trajectories to model the differentiation and functional states of lipid-associated macrophages.

Strengths

• Data is derived from human tissue samples, providing direct relevance to human disease biology.
• Includes profiles from a defined cohort of 13 individuals (6 T2D, 7 controls).
• Analysis integrates multiple computational methods, including snRNA-seq, COMPASS metabolic flux inference, and CellChat communication analysis.

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 small (17.6 KB), indicating it likely contains processed analysis results rather than raw sequencing data.

Provenance

Source

Haibin Ji

Collection Method

Single-nucleus RNA sequencing (snRNA-seq) of human subcutaneous white adipose tissue biopsies.

Freshness

Last updated 2026-05-04 08:38:48; freshness should be verified.