Single-Nucleus RNA Sequencing of Human Adipose Tissue from Type 2 Diabetes Patients

13 scWAT biopsies from 6 patients with type 2 diabetes and 7 non-diabetic controls were profiled by single-nucleus RNA sequencing. The dataset was created by Haibin Ji and last updated in May 2026. It supports analysis of adipocyte and macrophage transcriptional states in the context of metabolic inflammation.

Use Cases

• Identify differential gene expression patterns between diabetic and non-diabetic adipose tissue based on snRNA-seq profiling.
• Analyze intercellular communication networks between adipocytes and macrophages based on ligand-receptor analysis mentioned in the description.
• Map pseudotime trajectories of lipid-associated macrophage states based on the described trajectory analysis.
• Score immunometabolic and mitochondrial stress modules in specific cell states based on the pathway scoring methods described.

Strengths

• Data is derived from 13 human subcutaneous white adipose tissue biopsies, providing a direct biological source.
• Analysis integrates multiple computational methods including differential expression, pathway scoring, and cell-cell communication inference.
• Dataset is licensed under CC-BY-4.0, permitting open sharing and adaptation.

Limitations

• The dataset is 3.0 MB, which is a small file size for genomic data, suggesting it may contain processed results 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 certain analyses.

Provenance

Source

figshare

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.