ArticleExperimental and therapeutic medicine2017
Protein-protein interaction analysis to identify biomarker networks for endometriosis.
Article in Experimental and therapeutic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Epione application: An integrated web‑toolkit of clinical genomics and personalized medicine in systemic lupus erythematosus.International journal of molecular medicine · 2022Article
- Demetra Application: An integrated genotype analysis web server for clinical genomics in endometriosis.International journal of molecular medicine · 2021Article
- DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics.International journal of molecular sciences · 2021Article
- Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction.Current genomics · 2020Review
- Biological characteristics of endometriotic mesenchymal stem cells isolated from ectopic lesions of patients with endometriosis.Stem cell research & therapy · 2020Article
- The role of IL‑16 gene polymorphisms in endometriosis.International journal of molecular medicine · 2018Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The identification of biomarkers and their interaction network involved in the processes of endometriosis is a critical step in understanding the underlying mechanisms of the disease. The aim of the present study was to construct biomarker networks of endometriosis that integrated human protein-protein interactions and known disease-causing genes. Endometriosis-associated genes were extracted from Genotator and DisGeNet and biomarker network and pathway analyses were constructed using atBioNet. Of 100 input genes, 96 were strongly mapped to six major modules. The majority of the pathways in the first module were associated with the proliferation of cancer cells, the enriched pathways in module B were associated with the immune system and infectious diseases, module C included pathways related to immune and metastasis, the enriched pathways in module D were associated with inflammatory processes, and the majority of the pathways in module E were related to replication and repair. The present approach identified known and potential biomarkers in endometriosis. The identified biomarker networks are highly enriched in biological pathways associated with endometriosis, which may provide further insight into the molecular mechanisms underlying endometriosis.
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Registered trials
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