FCGBP Gene Expression Data Linking PCOS and NAFLD Comorbidity

Yi Yao published a bioinformatics study on figshare in May 2026. The work analyzes transcriptomic datasets GSE34526 for PCOS and GSE89632 for NAFLD to identify shared molecular mechanisms. It includes experimental validation using a DHEA + high-fat diet-induced rat model and in vitro cell treatments.

Use Cases

• Identify shared gene expression patterns between PCOS and NAFLD based on transcriptomic datasets mentioned in the description
• Validate candidate gene roles in hormonal dysregulation based on in vitro experiments with KGN cells
• Assess candidate gene roles in hepatic lipid metabolism based on in vitro experiments with HepG2 cells
• Perform functional enrichment analysis based on identified co-expressed genes

Strengths

• The study integrates bioinformatics analysis with experimental validation using a rat model and cell lines
• Three machine learning algorithms (LASSO, Random Forest, and XGBoost) were used for robustness assessment
• The dataset is openly licensed under CC-BY-4.0

Limitations

• The primary file is a 61.0 KB DOCX document, which likely contains textual results rather than raw data tables
• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

figshare

Collection Method

Analysis of public transcriptomic datasets combined with experimental validation in a rat model and cell cultures.

Freshness

Last updated 2026-05-18 05:38:48