{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Zhang Q"],"funding":["Natural Science Foundation of Shandong Province","Shandong First Medical University","Taishan Scholar Foundation of Shandong Province"],"pagination":["58"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9862811"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["18(1)"],"pubmed_abstract":["<h4>Background</h4>Osteoarthritis is a chronic degenerative joint disease, and increasing evidences suggest that the pathogenic mechanism involves immune system and inflammation.<h4>Aims</h4>The aim of current study was to uncover hub genes linked to immune infiltration in osteoarthritis synovial tissue using comprehensive bioinformatics analysis and experimental confirmation.<h4>Methods</h4>Multiple microarray datasets (GSE55457, GSE55235, GSE12021 and GSE1919) for osteoarthritis in Gene Expression Omnibus database were downloaded for analysis. Differentially expressed genes (DEGs) were identified using Limma package in R software, and immune infiltration was evaluated by CIBERSORT algorithm. Then weighted gene co-expression network analysis (WGCNA) was performed to uncover immune infiltr"],"journal":["Journal of orthopaedic surgery and research"],"pubmed_title":["Mechanism of immune infiltration in synovial tissue of osteoarthritis: a gene expression-based study."],"pmcid":["PMC9862811"],"funding_grant_id":["2020RC008","tsqn201909183","ZR2020QH072"],"pubmed_authors":["Liu X","Ma C","Sun C","Feng R","Zhang Q","Zhu C"],"additional_accession":[]},"is_claimable":false,"name":"Mechanism of immune infiltration in synovial tissue of osteoarthritis: a gene expression-based study.","description":"<h4>Background</h4>Osteoarthritis is a chronic degenerative joint disease, and increasing evidences suggest that the pathogenic mechanism involves immune system and inflammation.<h4>Aims</h4>The aim of current study was to uncover hub genes linked to immune infiltration in osteoarthritis synovial tissue using comprehensive bioinformatics analysis and experimental confirmation.<h4>Methods</h4>Multiple microarray datasets (GSE55457, GSE55235, GSE12021 and GSE1919) for osteoarthritis in Gene Expression Omnibus database were downloaded for analysis. Differentially expressed genes (DEGs) were identified using Limma package in R software, and immune infiltration was evaluated by CIBERSORT algorithm. Then weighted gene co-expression network analysis (WGCNA) was performed to uncover immune infiltr","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jan","modification":"2026-06-20T03:12:21.713Z","creation":"2025-04-05T20:53:02.905Z"},"accession":"S-EPMC9862811","cross_references":{"pubmed":["36681837"],"doi":["10.1186/s13018-023-03541-x"]}}