Mining the potential therapeutic targets for coronary artery disease by bioinformatics analysis.

{"sci_version": "1.0", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:30320387", "kind": "science-record", "revision": 4, "content_hash": "sha256:5bc2ede42bbacfdd654496ef44d917015fb8548b4cd1af913f044881d504d1a6", "created_at": "2026-11-01T15:40:38Z", "updated_at": "2026-11-01T21:21:42Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Mining the potential therapeutic targets for coronary artery disease by bioinformatics analysis.", "doi": "10.3892/mmr.2018.9551", "pmid": "30320387", "authors": ["Wendong Wang", "Zhiwei Xu", "Xiaobo Zhu", "Xiaotong Chang"], "journal": "Molecular medicine reports", "year": 2018, "abstract": "The present study aimed to mine therapeutic molecular targets that play an important part in the progression of coronary artery disease (CAD). The gene expression profile GSE28829 dataset and the microRNA (miRNA) expression profile GSE59421 dataset were downloaded from the Gene Expression Omnibus (GEO) database. The GEO2R online analytical tool was used to identify differentially expressed genes (DEGs) and miRNAs (DEMs). The target genes of DEMs were identified using the miRWalk2.0 web‑based tool and 2 miRNA‑gene regulatory networks were constructed using Cytoscape software. Subsequently, enriched Gene Ontology (GO) terms of miRNA‑target DEGs were obtained using the Database for Visualization, Annotation and Integrated Analysis, and locations of these genes in the chromosomes were determined by Map Viewer. In the present study, 350 DEGs and 66 DEMs were screened. A total of 3,588 target genes were identified from the DEMs, and 57 of these target genes and established DEGs were identified to overlap. GO terms associated with 5 processes, and 4 types of composition were identified to be enriched in the miRNA‑target DEGs. Furthermore, 26 miRNA‑gene regulatory pairs were obtained between the 57 target genes and DEMs. The 26 miRNA‑target DEGs were unevenly distributed, and no genes were located on the sex chromosomes. As a result of the present study, potential therapeutic targets for CAD were identified through bioinformatics analysis.", "claims": [{"id": "claim-method", "statement": "Analysis of differentially expressed genes (DEGs) was conducted for the mRNA and miRNA microarray data using GEO2R Online Analytical tool (https://www.ncbi.nlm.nih.gov/geo/geo2r/). DEGs and differentially expressed miRNAs (DEMs) were identified using an adjusted P-value <0.05 and a |log fold change (FC)| >1 as criteria.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30320387", "locator": "sections[5] \"Microarray data mining\" paragraph 2", "quote": "Analysis of differentially expressed genes (DEGs) was conducted for the mRNA and miRNA microarray data using GEO2R Online Analytical tool (https://www.ncbi.nlm.nih.gov/geo/geo2r/). DEGs and differentially expressed miRNAs (DEMs) were identified using an adjusted P-value <0.05 and a |log fold change (FC)| >1 as criteria."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated and/or analyzed during the current study are available in the Gene Expression Omnibus repository [GSE28829 dataset, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE28829; GSE59421 dataset, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE59421].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30320387", "locator": "sections[19] \"Availability of data and materials\" paragraph 2", "quote": "The datasets generated and/or analyzed during the current study are available in the Gene Expression Omnibus repository [GSE28829 dataset, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE28829; GSE59421 dataset, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE59421]."}], "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:30320387"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE28829"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE28829"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:30320387", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3892/mmr.2018.9551", "sha256": "sha256:dadf52c291edfbb494bc1989d9ca7a6a9c049f3f18c748f6cf449b8ef4b92e90", "bytes": 33596, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3892/mmr.2018.9551", "version": null, "note": "Full article fetched from PMC; 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