Table 1_Integrative analysis of hub genes for recurrent pregnancy loss with antiphospholip

Huan Zeng's study identifies potential hub genes for Recurrent Pregnancy Loss (RPL) associated with Antiphospholipid Syndrome (APS). The dataset, last updated in June 2026, contains results from integrated bioinformatics analysis, machine learning, and experimental validation. It includes 10 common differentially expressed genes and three identified hub genes (NAA30, ARHGAP44, SUGT1).

Use Cases

• Identifying diagnostic biomarkers for APS-related RPL based on the three identified hub genes.
• Analyzing immune cell infiltration patterns in RPL and APS patient samples using the CIBERSORT tool results.
• Validating gene expression and function in trophoblast cells based on the experimental qPCR and cell function data.
• Exploring associations between hub genes and other pregnancy-related diseases using the Comparative Toxicogenomics Database.

Strengths

• Includes results from multiple analytical methods: differential expression, WGCNA, PPI analysis, and three machine learning algorithms (LASSO, GMM, RandomForest).
• Hub genes were validated via ROC curves, a nomogram model, and experimental qPCR and cell function tests.
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• The dataset is very small at 34.5 KB, suggesting it contains summary results rather than raw expression data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analyses.

Provenance

Source

Gene Expression Omnibus (GEO) database

Collection Method

Integrated bioinformatics analysis of retrieved APS and RPL datasets, followed by machine learning and experimental validation.

Freshness

Last updated 2026-06-04 05:44:43; freshness should be verified.