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

Single-nucleus RNA sequencing data from subcutaneous white adipose tissue biopsies of 6 patients with type 2 diabetes and 7 non-diabetic controls. The dataset was created by Haibin Ji and last updated on 2026-05-04. It supports analysis of adipocyte and macrophage transcriptional states in the context of metabolic inflammation.

Use Cases

• Identify stress-enriched adipocyte states based on upregulated mitophagy and vesicle trafficking signatures.
• Analyze immunometabolic activation in lipid-associated macrophage subsets using pathway and module scoring.
• Map intercellular communication between adipocytes and macrophages using inferred ligand-receptor interactions.
• Construct pseudotime trajectories to model macrophage differentiation and clearance function.

Strengths

• Data is derived from human tissue samples, providing direct relevance to human disease biology.
• Includes a defined cohort of 13 total samples (6 T2D, 7 control) for comparative analysis.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and sharing.

Limitations

• Row and column counts are unknown, making it difficult to assess the dataset's scale and structure prior to download.
• The dataset is very small (38.7 KB), suggesting it contains processed results or summary statistics rather than raw sequencing data.
• Column-level documentation is absent; field semantics must be inferred after download.

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 08:38:50; freshness should be verified.