1121 related articles for article (PubMed ID: 30365099)
21. Identification of differentially expressed genes in synovial tissue of rheumatoid arthritis and osteoarthritis in patients.
Li WC; Bai L; Xu Y; Chen H; Ma R; Hou WB; Xu RJ
J Cell Biochem; 2019 Mar; 120(3):4533-4544. PubMed ID: 30260019
[TBL] [Abstract][Full Text] [Related]
22. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
Wang Y; Zhang Y; Huang Q; Li C
Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
[TBL] [Abstract][Full Text] [Related]
23. Transcriptome analyses identify key genes and potential mechanisms in a rat model of osteoarthritis.
Li HZ; Lu HD
J Orthop Surg Res; 2018 Dec; 13(1):319. PubMed ID: 30551734
[TBL] [Abstract][Full Text] [Related]
24. Identification of potential target genes associated with the pathogenesis of osteoarthritis using microarray based analysis.
Li M; Zhi L; Zhang Z; Bian W; Qiu Y
Mol Med Rep; 2017 Sep; 16(3):2799-2806. PubMed ID: 28714028
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Analysis of differences in the molecular mechanism of rheumatoid arthritis and osteoarthritis based on integration of gene expression profiles.
Xu Y; Huang Y; Cai D; Liu J; Cao X
Immunol Lett; 2015 Dec; 168(2):246-53. PubMed ID: 26404854
[TBL] [Abstract][Full Text] [Related]
27. Identification of key mRNAs and microRNAs in the pathogenesis and progression of osteoarthritis using microarray analysis.
Li H; Bai B; Wang J; Xu Z; Yan S; Liu G
Mol Med Rep; 2017 Oct; 16(4):5659-5666. PubMed ID: 28849222
[TBL] [Abstract][Full Text] [Related]
28. Combined bioinformatics analysis reveals gene expression and DNA methylation patterns in osteoarthritis.
Song D; Qi W; Lv M; Yuan C; Tian K; Zhang F
Mol Med Rep; 2018 Jun; 17(6):8069-8078. PubMed ID: 29658578
[TBL] [Abstract][Full Text] [Related]
29. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
30. Identification of key pathogenic genes of sepsis based on the Gene Expression Omnibus database.
Lu X; Xue L; Sun W; Ye J; Zhu Z; Mei H
Mol Med Rep; 2018 Feb; 17(2):3042-3054. PubMed ID: 29257295
[TBL] [Abstract][Full Text] [Related]
31. Identification of upstream regulators for synovial expression signature genes in osteoarthritis.
Fei Q; Lin J; Meng H; Wang B; Yang Y; Wang Q; Su N; Li J; Li D
Joint Bone Spine; 2016 Oct; 83(5):545-51. PubMed ID: 26832188
[TBL] [Abstract][Full Text] [Related]
32. Identification of key genes and pathways associated with classical Hodgkin lymphoma by bioinformatics analysis.
Kuang Z; Guo L; Li X
Mol Med Rep; 2017 Oct; 16(4):4685-4693. PubMed ID: 28791394
[TBL] [Abstract][Full Text] [Related]
33. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
Yu C; Chen F; Jiang J; Zhang H; Zhou M
Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
[TBL] [Abstract][Full Text] [Related]
34. Unique gene expression profile in osteoarthritis synovium compared with cartilage: analysis of publicly accessible microarray datasets.
Park R; Ji JD
Rheumatol Int; 2016 Jun; 36(6):819-27. PubMed ID: 26942917
[TBL] [Abstract][Full Text] [Related]
35. Analysis of critical molecules and signaling pathways in osteoarthritis and rheumatoid arthritis.
Xue F; Zhang C; He Z; Ding L; Xiao H
Mol Med Rep; 2013 Feb; 7(2):603-7. PubMed ID: 23232804
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Bioinformatics analysis of differentially expressed genes involved in human developmental chondrogenesis.
Zhou J; Li C; Yu A; Jie S; Du X; Liu T; Wang W; Luo Y
Medicine (Baltimore); 2019 Jul; 98(27):e16240. PubMed ID: 31277141
[TBL] [Abstract][Full Text] [Related]
38. Bioinformatics analyses of gene expression profile identify key genes and functional pathways involved in cutaneous lupus erythematosus.
Gao ZY; Su LC; Wu QC; Sheng JE; Wang YL; Dai YF; Chen AP; He SS; Huang X; Yan GQ
Clin Rheumatol; 2022 Feb; 41(2):437-452. PubMed ID: 34553293
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. Identification of key genes in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis.
Zhu N; Hou J; Wu Y; Li G; Liu J; Ma G; Chen B; Song Y
Medicine (Baltimore); 2018 Jun; 97(22):e10997. PubMed ID: 29851858
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]