157 related articles for article (PubMed ID: 25688367)
1. Identification of potential transcriptomic markers in developing ankylosing spondylitis: a meta-analysis of gene expression profiles.
Fang F; Pan J; Xu L; Li G; Wang J
Biomed Res Int; 2015; 2015():826316. PubMed ID: 25688367
[TBL] [Abstract][Full Text] [Related]
2. Meta-analysis of differentially expressed genes in ankylosing spondylitis.
Lee YH; Song GG
Genet Mol Res; 2015 May; 14(2):5161-70. PubMed ID: 26125709
[TBL] [Abstract][Full Text] [Related]
3. Transcriptome network analysis reveals potential candidate genes for ankylosing spondylitis.
Zhu ZQ; Tang JS; Cao XJ
Eur Rev Med Pharmacol Sci; 2013 Dec; 17(23):3178-85. PubMed ID: 24338459
[TBL] [Abstract][Full Text] [Related]
4. Identification of ankylosing spondylitis-associated genes by expression profiling.
Ma H; Xu D; Fu Q
Int J Mol Med; 2012 Sep; 30(3):693-6. PubMed ID: 22751785
[TBL] [Abstract][Full Text] [Related]
5. Whole-blood gene expression profiling in ankylosing spondylitis identifies novel candidate genes that may contribute to the inflammatory and tissue-destructive disease aspects.
Chen K; Wei XZ; Zhu XD; Bai YS; Chen Y; Wang CF; Chen ZQ; Li M
Cell Immunol; 2013; 286(1-2):59-64. PubMed ID: 24326123
[TBL] [Abstract][Full Text] [Related]
6. Transcriptomic meta-analysis identifies gene expression characteristics in various samples of HIV-infected patients with nonprogressive disease.
Zhang LL; Zhang ZN; Wu X; Jiang YJ; Fu YJ; Shang H
J Transl Med; 2017 Sep; 15(1):191. PubMed ID: 28899396
[TBL] [Abstract][Full Text] [Related]
7. Meta-analysis of differentially expressed genes in primary Sjogren's syndrome by using microarray.
Song GG; Kim JH; Seo YH; Choi SJ; Ji JD; Lee YH
Hum Immunol; 2014 Jan; 75(1):98-104. PubMed ID: 24090683
[TBL] [Abstract][Full Text] [Related]
8. Gene expression profiling reveals a downregulation in immune-associated genes in patients with AS.
Duan R; Leo P; Bradbury L; Brown MA; Thomas G
Ann Rheum Dis; 2010 Sep; 69(9):1724-9. PubMed ID: 19643760
[TBL] [Abstract][Full Text] [Related]
9. Integrative meta-analysis of differentially expressed genes in osteoarthritis using microarray technology.
Wang X; Ning Y; Guo X
Mol Med Rep; 2015 Sep; 12(3):3439-3445. PubMed ID: 25975828
[TBL] [Abstract][Full Text] [Related]
10. Meta-analysis of gene expression profiles of peripheral blood cells in systemic lupus erythematosus.
Bae SC; Lee YH
Cell Mol Biol (Noisy-le-grand); 2018 Jul; 64(10):40-49. PubMed ID: 30084812
[TBL] [Abstract][Full Text] [Related]
11. Changes in gene expression profiles of the hip joint ligament of patients with ankylosing spondylitis revealed by DNA chip.
Xu L; Sun Q; Jiang S; Li J; He C; Xu W
Clin Rheumatol; 2012 Oct; 31(10):1479-91. PubMed ID: 22903699
[TBL] [Abstract][Full Text] [Related]
12. Integrated Analyses of Gene Expression Profiles Digs out Common Markers for Rheumatic Diseases.
Wang L; Wu LF; Lu X; Mo XB; Tang ZX; Lei SF; Deng FY
PLoS One; 2015; 10(9):e0137522. PubMed ID: 26352601
[TBL] [Abstract][Full Text] [Related]
13. Meta-analysis of differentially expressed genes in autism based on gene expression data.
Ning LF; Yu YQ; GuoJi ET; Kou CG; Wu YH; Shi JP; Ai LZ; Yu Q
Genet Mol Res; 2015 Mar; 14(1):2146-55. PubMed ID: 25867362
[TBL] [Abstract][Full Text] [Related]
14. Identification of key genes in Ankylosing spondylitis.
Xu ZY; Zhou C; Zhang KF; Zheng YP
Immunol Lett; 2018 Dec; 204():60-66. PubMed ID: 30321561
[TBL] [Abstract][Full Text] [Related]
15. The association between tumor necrosis factor alpha promoter polymorphisms and ankylosing spondylitis: a meta-analysis.
Ma B; Yang B; Guo H; Wang Y; Zhang D; Zhang Y; Xiao Z
Hum Immunol; 2013 Oct; 74(10):1357-62. PubMed ID: 23831259
[TBL] [Abstract][Full Text] [Related]
16. Functional modules analysis based on protein-protein network analysis in ankylosing spondylitis.
Zhang C; Shen L
Eur Rev Med Pharmacol Sci; 2012 Nov; 16(13):1821-7. PubMed ID: 23208966
[TBL] [Abstract][Full Text] [Related]
17. Evaluation of the Ankylosing Spondylitis Transcriptome for Oxidative Phosphorylation Pathway: The Shared Pathway with Neurodegenerative Diseases.
Lari A; Gholami Pourbadie H; Sharifi-Zarchi A; Aslani S; Nejatbakhsh Samimi L; Jamshidi A; Mahmoudi M
Iran J Allergy Asthma Immunol; 2021 Sep; 20(5):563-573. PubMed ID: 34664815
[TBL] [Abstract][Full Text] [Related]
18. Identification of potential transcriptomic markers in developing asthma: An integrative analysis of gene expression profiles.
Fang F; Pan J; Li Y; Li Y; Feng X; Wang J
Mol Immunol; 2017 Dec; 92():38-44. PubMed ID: 29031950
[TBL] [Abstract][Full Text] [Related]
19. Predicting pathway cross-talks in ankylosing spondylitis through investigating the interactions among pathways.
Gu X; Liu CJ; Wei JJ
Braz J Med Biol Res; 2017 Nov; 51(1):e6698. PubMed ID: 29160414
[TBL] [Abstract][Full Text] [Related]
20. RNA Sequencing for Gene Expression Profiles in Peripheral Blood Mononuclear Cells with Ankylosing Spondylitis RNA.
Huang D; Liu J; Cao Y; Wan L; Jiang H; Sun Y; Wen J
Biomed Res Int; 2020; 2020():5304578. PubMed ID: 32596323
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
