Table 5_LRP1 as a potential diagnostic and immunomodulatory target in endometriosis: evide
by Chengmao Xie·Updated 2mo ago
19.4 KB1files
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Description
1,404 differentially expressed genes were identified from three merged GEO datasets (GSE7305, GSE11691, GSE25628) to study endometriosis pathogenesis. The dataset, authored by Chengmao Xie and last updated in April 2026, presents findings on the role of low-density lipoprotein receptor-related protein 1 (LRP1) as a diagnostic and immunomodulatory target. It includes results from machine learning, immune profiling, Mendelian randomization, and single-cell RNA sequencing analyses.
Use Cases
Validate a diagnostic model for endometriosis based on the 30 identified hub genes.
Investigate the correlation between LRP1 expression and M2 macrophage infiltration in endometriosis tissue.
Study cell-cell communication pathways, such as the MIF signaling pathway and CD74/CXCR4 interactions, using single-cell data.
Assess the causal relationship between LRP1 and endometriosis risk through Mendelian randomization analysis results.
Strengths
Integrates data from three public GEO datasets (GSE7305, GSE11691, GSE25628), providing a multi-source foundation.
Includes validation from multiple analytical methods: machine learning (30 hub genes), immune profiling (r=0.62 correlation), Mendelian randomization (OR=1.35), and single-cell RNA sequencing.
Released under a permissive CC-BY-4.0 license, facilitating reuse and sharing.
Limitations
Row count and column-level documentation are absent; field semantics must be inferred after download.
The dataset is very small (19.4 KB), suggesting it contains summary or processed results rather than raw sequencing data.
Geographic and demographic sources for the underlying GEO data are not specified, which may limit bias assessment.
Provenance
Source
figshare, author Chengmao Xie
Collection Method
Integrated analysis of public Gene Expression Omnibus (GEO) datasets using WGCNA, machine learning, and single-cell RNA sequencing.
Time Range
Temporal coverage of the underlying GEO datasets is not specified.
Freshness
Last updated 2026-04-15 04:22:12; freshness should be verified.
Geography
Spatial coverage is not specified.
File is in XLSX format, requiring software like Microsoft Excel or a compatible library to open.