PCOS Hub Androgen-Related Genes: Bioinformatics Analysis of 60 Samples

A bioinformatics study by Xinling He, last updated March 2026, identified hub androgen-related genes in Polycystic Ovary Syndrome (PCOS). The analysis integrated five public gene expression datasets (GSE34526, GSE80432, GSE95728, GSE124226, GSE137684) from the GEO repository, covering 26 healthy and 34 PCOS samples. Four hub genes (ALDH1A1, DHRS9, PRKCB, SGPL1) were validated via RT-qPCR in mouse ovarian tissues.

Use Cases

• Building diagnostic models for PCOS based on identified hub androgen-related genes.
• Analyzing immune cell infiltration patterns associated with different androgen-related gene clusters.
• Validating gene expression signatures for PCOS using independent datasets or experimental methods like RT-qPCR.
• Exploring molecular subtypes of PCOS based on androgen-related gene expression profiles.

Strengths

• Integrated analysis of five distinct gene expression datasets (GSE34526, GSE80432, GSE95728, GSE124226, GSE137684).
• Results validated with RT-qPCR on ovarian tissues from PCOS mice.
• Employed multiple analytical methods (LASSO regression, Random Forest, PPI network) to identify hub genes.

Limitations

• Row and column counts are unknown, limiting suitability assessment for specific analytical tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (13.4 KB), indicating it likely contains summary results rather than raw expression data.

Provenance

Source

Gene Expression Omnibus (GEO) repository.

Collection Method

Bioinformatics analysis of publicly available gene expression datasets, followed by experimental validation.

Freshness

Last updated 2026-03-19 05:20:15