Identification of differentially expressed genes and signaling pathways involved in endometriosis by integrated bioinformatics analysis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31853298", "kind": "science-record", "revision": 7, "content_hash": "sha256:904a609865555d2e60a3fc1a3965036e8cb6e631938cd8462cbf14bbdcfb99e3", "created_at": "2026-11-01T15:40:53Z", "updated_at": "2026-11-01T22:01:07Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of differentially expressed genes and signaling pathways involved in endometriosis by integrated bioinformatics analysis.", "doi": "10.3892/etm.2019.8214", "pmid": "31853298", "authors": ["Fang-Fang Dai", "An-Yu Bao", "Bing Luo", "Zi-Hang Zeng", "Xiao-Li Pu", "Yan-Qing Wang", "Li Zhang", "Shu Xian", "Meng-Qin Yuan", "Dong-Yong Yang", "Shi-Yi Liu", "Yan-Xiang Cheng"], "journal": "Experimental and therapeutic medicine", "year": 2020, "abstract": "Endometriosis is a common gynecological disease characterized by the presence and growth of endometrial tissue outside the uterus, including the pelvis and abdominal cavity. This condition causes various clinical symptoms, such as non-menstrual pelvic pain, dysmenorrhea and infertility, seriously affecting the health and quality of life of women. To date, the specific mechanism and the key molecules of endometriosis remain uncertain. The purpose of the present study was to elucidate the mechanisms involved in the development and persistence of the disease. A number of mRNA expression profile datasets (namely GSE11691, GSE23339, GSE25628 and GSE78851) were downloaded from the Gene Expression Omnibus (GEO) database. These gene expression profiles were normalized, and the differentially expressed genes (DEGs) were identified by integrated bioinformatics analysis. A total of 103 DEGs were screened upon excluding the genes that exhibited inconsistency of expression (P<0.05). Furthermore, the Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, and construction of protein-protein interaction networks of DEGs were performed using online software. The results revealed that the DEGs were closely associated with cell migration, adherens junction and hypoxia-inducible factor signaling. In addition, immunohistochemical assay results were found to be consistent with the bioinformatics results. The present study may help us understand underlying molecular mechanisms and the development of endometriosis, which has a great clinical significance for early diagnosis of the disease.", "claims": [{"id": "claim-method", "statement": "The robust rank aggregation (RRA) method can be applied as a useful and general solution for gene list integration and meta-analysis in an unbiased manner, using a probabilistic model to make the algorithm parameter free and robust to outliers, noise and errors, and to assign a significance score to each gene (15).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31853298", "locator": "sections[6] \"Integration of microarray data\" paragraph 2", "quote": "The robust rank aggregation (RRA) method can be applied as a useful and general solution for gene list integration and meta-analysis in an unbiased manner, using a probabilistic model to make the algorithm parameter free and robust to outliers, noise and errors, and to assign a significance score to each gene (15)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data generated or analyzed during this study are included in the published article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31853298", "locator": "sections[20] \"Availability of data and materials\" paragraph 2", "quote": "All data generated or analyzed during this study are included in the published article."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:31853298"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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