LRP1 Gene Expression and Immune Cell Data for Endometriosis Diagnosis

A study by Chengmao Xie, last updated April 2026, identifies low-density lipoprotein receptor-related protein 1 (LRP1) as a diagnostic biomarker for endometriosis. The dataset includes results from integrated multi-omics analyses of three GEO datasets (GSE7305, GSE11691, GSE25628), identifying 1,404 differentially expressed genes and 30 hub genes. Single-cell RNA sequencing data shows LRP1 expression in fibroblasts and monocytes, with experimental validation confirming elevated levels in ectopic lesions.

Use Cases

• Building a diagnostic model for endometriosis based on the identified 30 hub genes.
• Analyzing the correlation between LRP1 expression and M2 macrophage infiltration (r=0.62).
• 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 (OR = 1.35).

Strengths

• Integrated analysis of three public GEO datasets (GSE7305, GSE11691, GSE25628).
• Identifies 1,404 differentially expressed genes and 30 hub genes using machine learning.
• Includes experimental validation of LRP1 expression at mRNA and protein levels.
• Provides single-cell RNA sequencing insights into cell-type-specific expression.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect bias inherent to the specific GEO datasets used.

Provenance

Source

Chengmao Xie via figshare.

Collection Method

Integrated multi-omics analysis of public GEO datasets, weighted gene co-expression network analysis (WGCNA), machine learning, Mendelian randomization, and single-cell RNA sequencing.

Time Range

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Freshness

Last updated 2026-04-15 04:22:09; freshness should be verified.

Geography

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