Haixia Mi's dataset from figshare, last updated in April 2026, identifies five key diagnostic genes for obesity-related recurrent pregnancy loss (RPL). The 18.2 KB XLSX file contains results from bioinformatics analysis of 1857 RPL-related and 2880 obesity-related differentially expressed genes from the GEO database. The study reports five down-regulated biomarkers (GIPR, KRTAP4-11, NFU1, OPN4, PRMT7) with diagnostic AUC above 0.8 and correlations with specific immune cells.
Use Cases
- Identifying diagnostic biomarkers for recurrent pregnancy loss based on the five key genes (GIPR, KRTAP4-11, NFU1, OPN4, PRMT7) mentioned in the description.
- Analyzing gene expression patterns in immune-related pathways such as the JAK-STAT and T cell receptor signaling pathways referenced in the study.
- Exploring correlations between gene expression and immune cell infiltration (eosinophils, CD56 bright NK cells, monocytes) as described in the analysis.
Strengths
- Identifies five specific diagnostic biomarkers (GIPR, KRTAP4-11, NFU1, OPN4, PRMT7) with reported AUC above 0.8.
- Analysis is based on intersecting 1857 RPL-related and 2880 obesity-related differentially expressed genes from the GEO database.
- Includes results from multiple analytical methods (LASSO, SVM, ROC, GO, KEGG) as described in the methodology.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- GEO database
- Collection Method
- Bioinformatics analysis of differentially expressed genes, using LASSO, SVM, ROC, GO, and KEGG methods.
- Time Range
- null
- Freshness
- Last updated 2026-04 21 18:00:53; freshness should be verified.
- Geography
- null