LRP1 Diagnostic Model for Endometriosis: Multi-Omics and Single-Cell Evidence

Chengmao Xie's dataset from figshare, last updated April 15, 2026, presents findings on low-density lipoprotein receptor-related protein 1 (LRP1) as a diagnostic and immunomodulatory target for endometriosis. The 93.5 KB XLSX file contains results from integrated multi-omics analyses of three GEO datasets, identifying 1,404 differentially expressed genes and 30 hub genes. The study includes evidence from machine learning, Mendelian randomization, and single-cell RNA sequencing, validated at mRNA and protein levels.

Use Cases

• Validate diagnostic models for endometriosis based on the identified 30 hub genes.
• Investigate the role of LRP1 in M2 macrophage infiltration based on the reported correlation (r=0.62).
• Study cell-cell communication in endometriosis via the MIF signaling pathway and CD74/CXCR4 interactions mentioned in the single-cell analysis.
• Assess causal relationships in disease progression using the Mendelian randomization result (OR = 1.35).

Strengths

• Integrates results from three public GEO datasets (GSE7305, GSE11691, GSE25628).
• Includes validation from multiple methodologies: WGCNA, machine learning, Mendelian randomization, and single-cell RNA sequencing.
• Provides specific statistical results, such as the correlation between LRP1 and M2 macrophages (r=0.62, p<0.001).

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The 93.5 KB file size suggests a limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

Chengmao Xie via figshare.

Collection Method

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

Time Range

Temporal coverage of the source GEO datasets is not specified.

Freshness

Last updated 2026-04-15 04:22:10; freshness should be verified.

Geography

Spatial coverage is not specified.