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Updated: Jan 23, 2026
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A Syngeneic Murine Model of Endometriosis using Naturally Cycling Mice
Published on: November 24, 2020
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Endometriosis Knowledgebase: a gene-based resource on endometriosis.
Shaini Joseph1, Smita D Mahale1,2
1ICMR-Biomedical Informatics Center, National Institute for Research in Reproductive Health, J.M. Street, Parel, Mumbai, India.
Summary
Endometriosis, a complex gynecological disorder, impacts 10% of women. Researchers curated the Endometriosis Knowledgebase, identifying 13 new candidate genes to improve diagnosis and treatment for this condition.
Area of Science:
- Reproductive biology
- Genetics
- Gynecology
Background:
- Endometriosis is a common, estrogen-dependent gynecological disorder affecting approximately 10% of women of reproductive age.
- Characterized by endometrial cell implantation outside the uterus, it presents diagnostic challenges and lacks a definitive cure.
- Associated comorbidities include cardiovascular and autoimmune diseases, highlighting its complex systemic impact.
Purpose of the Study:
- To gain insights into the complex genetic etiology of endometriosis.
- To develop a comprehensive resource for genes associated with endometriosis.
- To identify novel candidate genes for improved diagnosis and treatment strategies.
Main Methods:
- Manual curation of a database, the Endometriosis Knowledgebase, compiling information on 831 genes linked to endometriosis.
- Analysis of gene ontologies, pathways, and associated diseases.
- Network analysis of curated genes to predict novel candidate genes.
Main Results:
- The Endometriosis Knowledgebase contains data on 831 genes, their polymorphisms, ontologies, pathways, and associated diseases.
- Genes in the database are significantly enriched in pathways crucial for cell signaling, immune regulation, and reproduction.
- Network analysis identified 13 novel candidate genes implicated in biological processes relevant to endometriosis, showing genetic overlap with cancers and other diseases.
Conclusions:
- The Endometriosis Knowledgebase provides a valuable, curated resource for endometriosis research.
- The identified novel candidate genes offer potential targets for improved diagnostic markers and therapeutic interventions.
- The database and associated analytical tools will aid researchers and clinicians in reproductive biology.
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