Analysis of common differential gene expression in synovial cells of osteoarthritis and rheumatoid arthritis

• Published in: PloS one Vol. 19; no. 5; p. e0303506
• Main Authors: Liao, Chang-sheng, He, Fang-zheng, Li, Xi-yong, Zhang, Yan, Han, Peng-fei
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 21.05.2024; Public Library of Science (PLoS)
• Subjects: Algorithms; Anopheles; Arthritis; Arthritis, Rheumatoid - genetics; Arthritis, Rheumatoid - metabolism; Arthritis, Rheumatoid - pathology; Autoimmune diseases; Binomial distribution; Bioinformatics; Biology and Life Sciences; Biomarkers; Care and treatment; Computational Biology - methods; Computer and Information Sciences; Databases, Genetic; Datasets; Development and progression; Differential diagnosis; Disease prevention; Down-regulation; Gender; Gene expression; Gene Expression Profiling; Gene Expression Regulation; Gene Regulatory Networks; Genes; Genetic transcription; Genomes; Humans; Inflammation; Lipid metabolism; Lipids; Medical research; Medicine and Health Sciences; Molecular modelling; Ontology; Osteoarthritis; Osteoarthritis - genetics; Osteoarthritis - metabolism; Osteoarthritis - pathology; Pathogenesis; Patients; Peroxisome proliferator-activated receptors; Protein interaction; Protein Interaction Maps - genetics; Protein-protein interactions; Proteins; Rheumatoid arthritis; Rheumatoid factor; Signal transduction; Synovial Membrane - metabolism; Synovial Membrane - pathology; Therapeutic applications

To elucidate potential molecular mechanisms differentiating osteoarthritis (OA) and rheumatoid arthritis (RA) through a bioinformatics analysis of differentially expressed genes (DEGs) in patient synovial cells, aiming to provide new insights for clinical treatment strategies. Gene expression datase...