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April 6, 2024Deleted JournalOpen Access

Understanding the Molecular Landscape of Endometriosis: A Bioinformatics Approach to Uncover Signaling Pathways and Hub Genes

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Authors

JTJunhua TianXLXiaochun Liu

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Overview

Bioinformatics analysis reveals dysregulated hub genes and signaling pathways in human endometrial tissue, highlighting candidates for targeted therapy.

Key Points

  • Identification of 1,911 differentially expressed genes uncovers critical signaling pathways and seven key hub genes driving endometriosis progression.
  • Molecular docking simulations and functional annotation analyzed protein-protein interaction networks using human microarray data from GEO series GSE5108.
  • Supports targeted therapies and precision medicine approaches for endometriosis, although further experimental validation in clinical cohorts is required.

Cite This Study

Tian et al. (2024) studied this question.

synapsesocial.com/papers/68e70200b6db64358767c678https://doi.org/10.5812/ijpr-144266
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Integrated Bioinformatic Analysis Reveals the Gene Signatures, Epigenetic Roles, and Regulatory Networks in Endometriosis2024
  2. 2Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next generation sequencing data analysis2024 · 1 citations
  3. 3Bioinformatical enrichment analysis of genes involved in the pathway of endometriosis disease2024
  4. 4From Gene Networks to Repurposed Drugs: A Systems Biomedicine Approach to Endometriosis Management2026
  5. 5Bioinformatical Enrichment Analysis Reveals Key Differentially Expressed Genes in Endometriosis Pathogenesis2024