LRP1 in Endometriosis: Multi-Omics and Single-Cell Analysis Results

Table 8_LRP1 as a potential diagnostic and immunomodulatory target in endometriosis presents results from a multi-omics study. The dataset includes findings from integrated analyses of three GEO datasets, identifying 1,404 differentially expressed genes and 30 hub genes, with LRP1 showing the highest diagnostic performance. The dataset was authored by Chengmao Xie and last updated on 2026-04 15.

Use Cases

• Training diagnostic models for endometriosis based on the identified 30 hub genes.
• Analyzing the role of LRP1 in macrophage infiltration and immunomodulation based on the reported correlation (r=0.62).
• Investigating cell-cell communication pathways in endometriosis based on the described MIF signaling and CD74/CXCR4 interactions.
• Validating causal relationships in disease progression using the Mendelian randomization results (OR=1.35).

Strengths

• Includes results from integrated analysis of three GEO datasets (GSE7305, GSE11691, GSE25628).
• Identifies 1,404 differentially expressed genes and 30 hub genes through machine learning.
• Provides experimental validation for LRP1 expression at mRNA and protein levels.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 8.5 KB file size suggests a limited scope, likely containing summary results rather than raw data.

Provenance

Source

figshare, author Chengmao Xie.

Collection Method

Integrated multi-omics analyses, including 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 04:22:07; freshness should be verified.

Geography

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