297 related articles for article (PubMed ID: 31178673)
1. Differentially expressed genes between systemic sclerosis and rheumatoid arthritis.
Sun Z; Wang W; Yu D; Mao Y
Hereditas; 2019; 156():17. PubMed ID: 31178673
[TBL] [Abstract][Full Text] [Related]
2. 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]
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 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]
5. 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]
6. 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]
7. 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]
8. Screening of gene signatures for rheumatoid arthritis and osteoarthritis based on bioinformatics analysis.
He P; Zhang Z; Liao W; Xu D; Fu M; Kang Y
Mol Med Rep; 2016 Aug; 14(2):1587-93. PubMed ID: 27356888
[TBL] [Abstract][Full Text] [Related]
9. Identification and Interaction Analysis of Key Genes and MicroRNAs in Systemic Sclerosis by Bioinformatics Approaches.
Sun YH; Xie M; Wu SD; Zhang J; Huang CZ
Curr Med Sci; 2019 Aug; 39(4):645-652. PubMed ID: 31347003
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Screening and identification of biomarkers for systemic sclerosis via microarray technology.
Xu C; Meng LB; Duan YC; Cheng YJ; Zhang CM; Zhou X; Huang CB
Int J Mol Med; 2019 Nov; 44(5):1753-1770. PubMed ID: 31545397
[TBL] [Abstract][Full Text] [Related]
12. Bioinformatics-integrated screening of systemic sclerosis-specific expressed markers to identify therapeutic targets.
Jin J; Liu Y; Tang Q; Yan X; Jiang M; Zhao X; Chen J; Jin C; Ou Q; Zhao J
Front Immunol; 2023; 14():1125183. PubMed ID: 37063926
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Bioinformatics-based study to identify immune infiltration and inflammatory-related hub genes as biomarkers for the treatment of rheumatoid arthritis.
Fang S; Xu X; Zhong L; Wang AQ; Gao WL; Lu M; Yin ZS
Immunogenetics; 2021 Dec; 73(6):435-448. PubMed ID: 34477936
[TBL] [Abstract][Full Text] [Related]
15. Identification of novel biomarkers and candidate small molecule drugs in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis of high-throughput data.
Zuo B; Zhu J; Xiao F; Wang C; Shen Y; Chen X
Biosci Rep; 2020 Dec; 40(12):. PubMed ID: 33325525
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
18. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.
Li J; Liu X; Cui Z; Han G
Med Sci Monit; 2020 Jun; 26():e922070. PubMed ID: 32578582
[TBL] [Abstract][Full Text] [Related]
19. Bioinformatics analysis of fibroblasts exposed to TGF‑β at the early proliferation phase of wound repair.
Mi B; Liu G; Zhou W; Lv H; Zha K; Liu Y; Wu Q; Liu J
Mol Med Rep; 2017 Dec; 16(6):8146-8154. PubMed ID: 28983581
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]