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531 related items for PubMed ID: 35602512

  • 1. RNA-seq and Network Analysis Reveal Unique Chemokine Activity Signatures in the Synovial Tissue of Patients With Rheumatoid Arthritis.
    Zhang R, Jin Y, Chang C, Xu L, Bian Y, Shen Y, Sun Y, Sun S, Schrodi SJ, Guo S, He D.
    Front Med (Lausanne); 2022; 9():799440. PubMed ID: 35602512
    [Abstract] [Full Text] [Related]

  • 2. Identification of differential key biomarkers in the synovial tissue between rheumatoid arthritis and osteoarthritis using bioinformatics analysis.
    Zhang R, Zhou X, Jin Y, Chang C, Wang R, Liu J, Fan J, He D.
    Clin Rheumatol; 2021 Dec; 40(12):5103-5110. PubMed ID: 34224029
    [Abstract] [Full Text] [Related]

  • 3. Identification of DNA methylation-regulated differentially expressed genes in RA by integrated analysis of DNA methylation and RNA-Seq data.
    Zhang R, Chang C, Jin Y, Xu L, Jiang P, Wei K, Xu L, Guo S, Sun S, He D.
    J Transl Med; 2022 Oct 22; 20(1):481. PubMed ID: 36273177
    [Abstract] [Full Text] [Related]

  • 4. Identification of key candidate genes and biological pathways in the synovial tissue of patients with rheumatoid arthritis.
    Yu F, Hu G, Li L, Yu B, Liu R.
    Exp Ther Med; 2022 Jun 22; 23(6):368. PubMed ID: 35495609
    [Abstract] [Full Text] [Related]

  • 5. Identifying the Hub Genes and Immune Cell Infiltration in Synovial Tissue between Osteoarthritic and Rheumatoid Arthritic Patients by Bioinformatic Approach.
    Wang J, Fan Q, Yu T, Zhang Y.
    Curr Pharm Des; 2022 Jun 22; 28(6):497-509. PubMed ID: 34736376
    [Abstract] [Full Text] [Related]

  • 6. Screening and identification of potential hub genes and immune cell infiltration in the synovial tissue of rheumatoid arthritis by bioinformatic approach.
    Feng ZW, Tang YC, Sheng XY, Wang SH, Wang YB, Liu ZC, Liu JM, Geng B, Xia YY.
    Heliyon; 2023 Jan 22; 9(1):e12799. PubMed ID: 36699262
    [Abstract] [Full Text] [Related]

  • 7. Identification of hub genes in rheumatoid arthritis through an integrated bioinformatics approach.
    Wu R, Long L, Zhou Q, Su J, Su W, Zhu J.
    J Orthop Surg Res; 2021 Jul 16; 16(1):458. PubMed ID: 34271942
    [Abstract] [Full Text] [Related]

  • 8. Identification and validation of hub genes of synovial tissue for patients with osteoarthritis and rheumatoid arthritis.
    Ge Y, Chen Z, Fu Y, Xiao X, Xu H, Shan L, Tong P, Zhou L.
    Hereditas; 2021 Sep 28; 158(1):37. PubMed ID: 34583778
    [Abstract] [Full Text] [Related]

  • 9. Identification of pivotal genes and pathways in the synovial tissue of patients with rheumatoid arthritis and osteoarthritis through integrated bioinformatic analysis.
    Aihaiti Y, Tuerhong X, Ye JT, Ren XY, Xu P.
    Mol Med Rep; 2020 Oct 28; 22(4):3513-3524. PubMed ID: 32945465
    [Abstract] [Full Text] [Related]

  • 10. Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in Rheumatoid Arthritis.
    Xiong Y, Mi BB, Liu MF, Xue H, Wu QP, Liu GH.
    Med Sci Monit; 2019 Mar 27; 25():2246-2256. PubMed ID: 30916045
    [Abstract] [Full Text] [Related]

  • 11. Identification of potential biomarkers for differential diagnosis between rheumatoid arthritis and osteoarthritis via integrative genome‑wide gene expression profiling analysis.
    Zhang R, Yang X, Wang J, Han L, Yang A, Zhang J, Zhang D, Li B, Li Z, Xiong Y.
    Mol Med Rep; 2019 Jan 27; 19(1):30-40. PubMed ID: 30483789
    [Abstract] [Full Text] [Related]

  • 12. Three hematologic/immune system-specific expressed genes are considered as the potential biomarkers for the diagnosis of early rheumatoid arthritis through bioinformatics analysis.
    Cheng Q, Chen X, Wu H, Du Y.
    J Transl Med; 2021 Jan 06; 19(1):18. PubMed ID: 33407587
    [Abstract] [Full Text] [Related]

  • 13. Analysis of common differential gene expression in synovial cells of osteoarthritis and rheumatoid arthritis.
    Liao CS, He FZ, Li XY, Zhang Y, Han PF.
    PLoS One; 2024 Jan 06; 19(5):e0303506. PubMed ID: 38771826
    [Abstract] [Full Text] [Related]

  • 14. Identification of Disease-Specific Hub Biomarkers and Immune Infiltration in Osteoarthritis and Rheumatoid Arthritis Synovial Tissues by Bioinformatics Analysis.
    Sun F, Zhou JL, Peng PJ, Qiu C, Cao JR, Peng H.
    Dis Markers; 2021 Jan 06; 2021():9911184. PubMed ID: 34113405
    [Abstract] [Full Text] [Related]

  • 15. Identification of Tissue-Specific Expressed Hub Genes and Potential Drugs in Rheumatoid Arthritis Using Bioinformatics Analysis.
    Xing X, Xia Q, Gong B, Shen Z, Zhang Y.
    Front Genet; 2022 Jan 06; 13():855557. PubMed ID: 35368701
    [Abstract] [Full Text] [Related]

  • 16. CCL5 and related genes might be the potential diagnostic biomarkers for the therapeutic strategies of rheumatoid arthritis.
    Huang Y, Zheng S, Wang R, Tang C, Zhu J, Li J.
    Clin Rheumatol; 2019 Sep 06; 38(9):2629-2635. PubMed ID: 31011897
    [Abstract] [Full Text] [Related]

  • 17. Identification of Common Differentially Expressed Genes and Potential Therapeutic Targets in Ulcerative Colitis and Rheumatoid Arthritis.
    Chen Y, Li H, Lai L, Feng Q, Shen J.
    Front Genet; 2020 Sep 06; 11():572194. PubMed ID: 33262784
    [Abstract] [Full Text] [Related]

  • 18. Identification of key biomarkers and immune infiltration in the synovial tissue of osteoarthritis by bioinformatics analysis.
    Cai W, Li H, Zhang Y, Han G.
    PeerJ; 2020 Sep 06; 8():e8390. PubMed ID: 31988808
    [Abstract] [Full Text] [Related]

  • 19. Identification of Candidate Genes Related to Synovial Macrophages in Rheumatoid Arthritis by Bioinformatics Analysis.
    Xu J, Zhang MY, Jiao W, Hu CQ, Wu DB, Yu JH, Chen GX.
    Int J Gen Med; 2021 Sep 06; 14():7687-7697. PubMed ID: 34764682
    [Abstract] [Full Text] [Related]

  • 20. Bioinformatics analysis to identify key genes and pathways influencing synovial inflammation in osteoarthritis.
    Lin J, Wu G, Zhao Z, Huang Y, Chen J, Fu C, Ye J, Liu X.
    Mol Med Rep; 2018 Dec 06; 18(6):5594-5602. PubMed ID: 30365099
    [Abstract] [Full Text] [Related]

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