STZ-Induced Diabetic Mouse Retina Single-Cell Transcriptomic Analysis

A reanalysis of a public scRNA-seq dataset from STZ-induced diabetic mouse retinas, authored by Shuai Ouyang and last updated in April 2026. The dataset likely contains gene expression matrices and cell annotations derived from clustering, trajectory, and network analyses. It focuses on characterizing retinal cell populations and Müller glial heterogeneity under diabetic stress.

Use Cases

• Identify candidate inflammatory-associated markers based on co-expression network analysis mentioned in the description
• Characterize Müller glial subpopulation heterogeneity based on clustering results described
• Analyze transcriptional perturbation patterns in retinal cell types under diabetic stress based on the described STZ group comparison
• Prioritize regulatory hub genes like Junb based on protein-protein interaction analysis described

Strengths

• Dataset is openly licensed under CC-BY-4.0
• Analysis includes multiple validation methods, including western blotting as described

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset is a 558.8 KB DOCX file, suggesting limited scope and likely containing summary tables or figures rather than raw expression matrices

Provenance

Source

Reanalysis of a public scRNA-seq dataset, author Shuai Ouyang

Collection Method

Clustering, perturbation, trajectory, functional enrichment, and co-expression network analyses of scRNA-seq data

Freshness

Last updated 2026-04-29 05:54:17; freshness should be verified