PPARG in Alzheimer's Disease: Integrated Transcriptomic and Single-Cell Evidence

A 148.3 KB document by Lingjia Tang, last updated March 2026, presents integrated analysis from three Gene Expression Omnibus transcriptomic datasets (GSE1297, GSE5281, GSE157827). It identifies 50 reproducible differentially expressed genes in Alzheimer's disease, with 24 linked to ferroptosis, and validates PPARG as a central regulatory hub through network analysis and experimental models.

Use Cases

• Validate PPARG as a hub gene in Alzheimer's disease based on the protein-protein interaction network analysis described.
• Investigate the association between ferroptosis-related gene expression and immune cell infiltration based on the CIBERSORT analysis mentioned.
• Benchmark molecular docking results for ligand-PPARG binding based on the reported -5.6 kcal/mol affinity.
• Cross-reference the 24 identified ferroptosis-associated DEGs with other neurodegenerative disease datasets.

Strengths

• Analysis integrates three independent transcriptomic datasets (GSE1297, GSE5281, GSE157827) for cross-validation.
• Identifies a specific set of 24 ferroptosis-associated differentially expressed genes from 50 total DEGs.
• Includes experimental validation from in vitro and in vivo models, as described in the methods.

Limitations

• The primary data file is a 148.3 KB DOCX document; underlying raw or processed data tables are not directly accessible.
• Column-level documentation and sample data are unavailable, requiring manual inspection after download.
• Row count for any underlying datasets is unknown, limiting suitability assessment for large-scale analysis.

Provenance

Source

Gene Expression Omnibus (GSE1297, GSE5281, GSE157827)

Collection Method

Integrated analysis of transcriptomic datasets, single-cell data, and experimental validation.

Freshness

Last updated 2026-03-18 06:42:25.