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pmid:35115816
Identification and Validation of Novel Diagnostic Biomarkers for Keloid Based on GEO Database.
Yeletai Nurzati · Zhu Zhu · Heng Xu · Yixin Zhang
International journal of general medicine · 2022 doi:10.2147/IJGM.S337951
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Experiment
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Data
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Analysis
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Execution
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Complete file
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This dilemma leads to no biomarker available for diagnosis. Thus, to seek accurate diagnosis, biomarkers are necessary for keloid diagnosis to help control its incidence.\nMETHODS: Gene Expression Omnibus (GEO) database was used to select differentially expressed miRNAs (DE-miRNAs) in GSE113620. miRTarBase miRNA-target tools were used to predict the interactions between miRNAs and their target mRNAs. Target mRNAs that were differentially expressed in keloid were selected by analyzing differentially expressed genes (DEGs) in GSE44270 and GSE92566. PPI network analysis, gene enrichment analysis, cell-specific and tissue-specific expression analyses of DE-target mRNAs were conducted. RT-PCR analysis was conducted to validate our results.\nRESULTS: Three novel miRNAs (miR-30b-5p, miR-212-3p, miR-149-5p) and five target mRNAs (SIX1, CCNA2, CCNB1, FOXM1, RUNX2) were identified as potential biomarkers for keloid patients. Additionally, the potential functions of those miRNAs-mRNAs pathways were analyzed.\nDISCUSSION: These findings of keloid-related miRNAs, mRNAs, and miRNA-mRNAs regulatory networks may provide insights into the underlying pathogenesis of keloid and serve as potential biomarkers for keloid diagnosis.", "claims": [{"id": "claim-method", "statement": "Differences between groups were analyzed using Student’s t-test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35115816", "locator": "sections[11] \"Statistical Analysis\" paragraph 2", "quote": "Differences between groups were analyzed using Student’s t-test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data generated or analyzed during this study are included in this published article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35115816", "locator": "sections[20] \"Data Sharing Statement\" paragraph 2", "quote": "All data generated or analyzed during this study are included in this published article."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Three novel miRNAs (miR-30b-5p, miR-212-3p, miR-149-5p) and five target mRNAs (SIX1, CCNA2, CCNB1, FOXM1, RUNX2) were identified as potential biomarkers for keloid patients.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35115816", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Three novel miRNAs (miR-30b-5p, miR-212-3p, miR-149-5p) and five target mRNAs (SIX1, CCNA2, CCNB1, FOXM1, RUNX2) were identified as potential biomarkers for keloid patients."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Three novel miRNAs (miR-30b-5p, miR-212-3p, miR-149-5p) and five target mRNAs (SIX1, CCNA2, CCNB1, FOXM1, RUNX2) were identified as potential biomarkers for keloid patients.", "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:35115816"], "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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