Human Type 2 Diabetic Adipose Tissue Single-Nucleus RNA Sequencing Data

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-macrophage interactions and mitochondrial stress pathways in metabolic inflammation.

Use Cases

• Identify transcriptional cell states in adipose tissue based on single-nucleus RNA-seq profiles.
• Analyze differential gene expression and pathway enrichment between diabetic and non-diabetic patient samples.
• Model intercellular communication networks between adipocytes and macrophages using ligand-receptor analysis.
• Investigate mitochondrial stress and clearance gene signatures in specific adipocyte and macrophage subsets.
• Construct pseudotime trajectories to study the differentiation or dysfunction of lipid-associated macrophages.

Strengths

• Data is derived from human patient biopsies, providing direct biological relevance.
• Includes samples from two distinct cohorts: 6 type 2 diabetic patients and 7 non-diabetic controls.
• Analysis integrates multiple computational methods, including differential expression, pathway scoring, and cell-cell communication inference.

Limitations

• The dataset is very small at 13.0 KB, indicating limited raw data or a highly processed summary.
• Row and column counts are unknown, making it difficult to assess the data's scale and structure before download.
• 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.