316 related articles for article (PubMed ID: 32840301)
1. Identification of biomarkers associated with synovitis in rheumatoid arthritis by bioinformatics analyses.
Li Z; Xu M; Li R; Zhu Z; Liu Y; Du Z; Zhang G; Song Y
Biosci Rep; 2020 Sep; 40(9):. PubMed ID: 32840301
[TBL] [Abstract][Full Text] [Related]
2. 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; 19(1):18. PubMed ID: 33407587
[TBL] [Abstract][Full Text] [Related]
3. 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
[TBL] [Abstract][Full Text] [Related]
4. 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; 14():7687-7697. PubMed ID: 34764682
[TBL] [Abstract][Full Text] [Related]
5. 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; 2021():9911184. PubMed ID: 34113405
[TBL] [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; 9(1):e12799. PubMed ID: 36699262
[TBL] [Abstract][Full Text] [Related]
7. 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; 158(1):37. PubMed ID: 34583778
[TBL] [Abstract][Full Text] [Related]
8. 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; 19(1):30-40. PubMed ID: 30483789
[TBL] [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; 22(4):3513-3524. PubMed ID: 32945465
[TBL] [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; 25():2246-2256. PubMed ID: 30916045
[TBL] [Abstract][Full Text] [Related]
11. 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(1):458. PubMed ID: 34271942
[TBL] [Abstract][Full Text] [Related]
12. 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; 23(6):368. PubMed ID: 35495609
[TBL] [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; 19(5):e0303506. PubMed ID: 38771826
[TBL] [Abstract][Full Text] [Related]
14. Identification and validation of potential hub genes in rheumatoid arthritis by bioinformatics analysis.
He X; Yin J; Yu M; Qiu J; Wang A; Wang H; He X; Wu X
Am J Transl Res; 2022; 14(9):6751-6762. PubMed ID: 36247278
[TBL] [Abstract][Full Text] [Related]
15. Identification of differentially expressed genes, signaling pathways and immune infiltration in rheumatoid arthritis by integrated bioinformatics analysis.
Ge Y; Zhou L; Chen Z; Mao Y; Li T; Tong P; Shan L
Hereditas; 2021 Jan; 158(1):5. PubMed ID: 33397492
[TBL] [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; 38(9):2629-2635. PubMed ID: 31011897
[TBL] [Abstract][Full Text] [Related]
17. A 9 mRNAs-based diagnostic signature for rheumatoid arthritis by integrating bioinformatic analysis and machine-learning.
Liu J; Chen N
J Orthop Surg Res; 2021 Jan; 16(1):44. PubMed ID: 33430905
[TBL] [Abstract][Full Text] [Related]
18. Identifying Immune Cell Infiltration and Effective Diagnostic Biomarkers in Rheumatoid Arthritis by Bioinformatics Analysis.
Zhou S; Lu H; Xiong M
Front Immunol; 2021; 12():726747. PubMed ID: 34484236
[TBL] [Abstract][Full Text] [Related]
19. Identification of differentially expressed and methylated genes associated with rheumatoid arthritis based on network.
Zhang D; Li Z; Zhang R; Yang X; Zhang D; Li Q; Wang C; Yang X; Xiong Y
Autoimmunity; 2020 Sep; 53(6):303-313. PubMed ID: 32650679
[TBL] [Abstract][Full Text] [Related]
20. 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; 13():855557. PubMed ID: 35368701
[No Abstract] [Full Text] [Related]
[Next] [New Search]