Table 4_LRP1 as a potential diagnostic and immunomodulatory target in endometriosis: evide

A study by Chengmao Xie, uploaded in April 2026, investigates the role of the LRP1 gene in endometriosis. The dataset likely contains results from integrated multi-omics analyses of three GEO datasets, identifying differentially expressed genes and immune correlations. It includes findings from machine learning, Mendelian randomization, and single-cell RNA sequencing to support LRP1 as a diagnostic and immunomodulatory target.

Use Cases

• Training diagnostic models for endometriosis based on the identified 30 hub genes and LRP1 expression.
• Analyzing immune cell infiltration correlations, such as the link between LRP1 and M2 macrophages.
• Investigating cell-cell communication pathways in endometriosis, specifically the MIF signaling pathway and CD74/CXCR4 interactions.
• Validating causal relationships in disease progression using Mendelian randomization results provided in the study.

Strengths

• Integrates data from three public GEO datasets (GSE7305, GSE11691, GSE25628), providing a multi-source foundation.
• Identifies 1,404 differentially expressed genes and 489 co-expressed genes, offering a quantitative basis for analysis.
• Includes experimental validation showing elevated LRP1 expression at mRNA and protein levels in ectopic lesions.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small (12.9 KB), suggesting it contains summary or processed results rather than raw sequencing data.
• Data may reflect bias inherent to the specific GEO datasets used in the original study.

Provenance

Source

figshare, authored by Chengmao Xie.

Collection Method

Generated from integrated analysis of public GEO datasets using WGCNA, machine learning, Mendelian randomization, and single-cell RNA sequencing.

Time Range

null

Freshness

Last updated 2026-04-15 04:22:11; freshness should be verified.

Geography

null