BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

152 related articles for article (PubMed ID: 37235118)

  • 1. Identification of the candidate genes of diagnosing rheumatoid arthritis using the single-cell sequencing technology and T cell subclusters analysis of patients with rheumatoid arthritis.
    Liu Y; Fan S; Meng S
    Arch Rheumatol; 2023 Mar; 38(1):109-118. PubMed ID: 37235118
    [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. 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]  

  • 4. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of key candidate genes and pathways in rheumatoid arthritis and osteoarthritis by integrated bioinformatical analysis.
    Huang H; Dong X; Mao K; Pan W; Nie B; Jiang L
    Front Genet; 2023; 14():1083615. PubMed ID: 36861127
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of HBEGF+ fibroblasts in the remission of rheumatoid arthritis by integrating single-cell RNA sequencing datasets and bulk RNA sequencing datasets.
    Chen N; Fan B; He Z; Yu X; Wang J
    Arthritis Res Ther; 2022 Sep; 24(1):215. PubMed ID: 36068607
    [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. Analysis of Enrichment Pathway, Hub Gene, and Protein-Protein Interaction Network in Rheumatoid Arthritis and Construction of Molecular Subtypes in Peripheral Blood.
    Yuan SG; Zheng K; Chen M; Zhang Z
    Altern Ther Health Med; 2024 Jan; 30(1):134-141. PubMed ID: 37773661
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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; 20(1):481. PubMed ID: 36273177
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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; 28(6):497-509. PubMed ID: 34736376
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Screening of Sepsis Biomarkers Based on Bioinformatics Data Analysis.
    Liang G; Li J; Pu S; He Z
    J Healthc Eng; 2022; 2022():6788569. PubMed ID: 36199375
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Identification of hub genes and therapeutic drugs in rheumatoid arthritis patients.
    Wu B; He Y; Yang D; Liu RX
    Clin Rheumatol; 2021 Aug; 40(8):3299-3309. PubMed ID: 33604823
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Integrative Analyses of Biomarkers and Potential Therapeutic Drugs for Rheumatoid Arthritis.
    Xiao L; Xiao W; Zhan F
    Ann Clin Lab Sci; 2022 Jan; 52(1):141-153. PubMed ID: 35181628
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.