Single-Nucleus RNA-Seq of Human Adipose Tissue from Type 2 Diabetes and Control Patients

Single-nucleus RNA sequencing data from subcutaneous white adipose tissue biopsies of 13 human donors, including 6 patients with type 2 diabetes and 7 non-diabetic controls. The dataset was created by Haibin Ji and published on figshare under a CC-BY-4.0 license, with a last update recorded as 2026-05-04. It was generated to investigate mitochondrial stress and immune cell interactions in diabetic adipose tissue.

Use Cases

• Identify transcriptional cell states in adipocytes and macrophages based on snRNA-seq profiles.
• Analyze differential gene expression and pathway activity between diabetic and control tissue samples.
• Map intercellular communication networks using inferred ligand-receptor interactions.
• Construct pseudotime trajectories to model macrophage differentiation and functional states.
• Score immunometabolic and mitochondrial stress gene modules across cell types.

Strengths

• Includes data from 13 human donors, providing a basis for comparative analysis.
• Profiles multiple cell types, including adipocytes and macrophage subsets, using single-nucleus resolution.
• Applies multiple analytical methods, including differential expression, pathway scoring, and cell-cell communication inference.

Limitations

• The dataset is very small at 262.0 KB, suggesting it may be a summary or supplementary file rather than raw sequencing data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analyses.

Provenance

Source

figshare, author Haibin Ji.

Collection Method

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

Freshness

Last updated 2026-05-04 08:38:47; freshness should be verified.