549 related articles for article (PubMed ID: 34589304)
1. Identification of immune related cells and crucial genes in the peripheral blood of ankylosing spondylitis by integrated bioinformatics analysis.
Zheng Y; Cai B; Ren C; Xu H; Du W; Wu Y; Lin F; Zhang H; Quan R
PeerJ; 2021; 9():e12125. PubMed ID: 34589304
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Bioinformatics Analysis of Immune Cell Infiltration and Diagnostic Biomarkers between Ankylosing Spondylitis and Inflammatory Bowel Disease.
Zhang X; Chen T; Qian X; He X
Comput Math Methods Med; 2023; 2023():9065561. PubMed ID: 36643579
[TBL] [Abstract][Full Text] [Related]
4. Exploring hub pyroptosis-related genes, molecular subtypes, and potential drugs in ankylosing spondylitis by comprehensive bioinformatics analysis and molecular docking.
Li X; Li X; Wang H; Zhao X
BMC Musculoskelet Disord; 2023 Jun; 24(1):532. PubMed ID: 37386410
[TBL] [Abstract][Full Text] [Related]
5. Renal tubular gen e biomarkers identification based on immune infiltrates in focal segmental glomerulosclerosis.
Bai J; Pu X; Zhang Y; Dai E
Ren Fail; 2022 Dec; 44(1):966-986. PubMed ID: 35713363
[TBL] [Abstract][Full Text] [Related]
6. Gene expression profiling analysis of patients with ankylosing spondylitis.
Shi Z; Li Q; Cai B; Ran B; Li M
J Spinal Disord Tech; 2015 May; 28(4):E244-50. PubMed ID: 25756408
[TBL] [Abstract][Full Text] [Related]
7. Comprehensive Bioinformatics Analysis Reveals Hub Genes and Inflammation State of Rheumatoid Arthritis.
Ren C; Li M; Du W; Lü J; Zheng Y; Xu H; Quan R
Biomed Res Int; 2020; 2020():6943103. PubMed ID: 32802866
[TBL] [Abstract][Full Text] [Related]
8. Novel Autophagy-Related Blood Biomarkers Associated with Immune Cell Infiltration in Ankylosing Spondylitis.
Song H; Liu H; Li X; Lv B; Tang Z; Chen Q; Zhang D; Wang F
Pharmgenomics Pers Med; 2023; 16():1055-1066. PubMed ID: 38073713
[TBL] [Abstract][Full Text] [Related]
9. Identification of key biomarkers and immune infiltration in the synovial tissue of osteoarthritis by bioinformatics analysis.
Cai W; Li H; Zhang Y; Han G
PeerJ; 2020; 8():e8390. PubMed ID: 31988808
[TBL] [Abstract][Full Text] [Related]
10. Identification and Validation of Autophagy-Related Genes in Sepsis-Induced Acute Respiratory Distress Syndrome and Immune Infiltration.
Sun M; Yang Q; Hu C; Zhang H; Xing L
J Inflamm Res; 2022; 15():2199-2212. PubMed ID: 35411170
[TBL] [Abstract][Full Text] [Related]
11. RNA sequencing and bioinformatics analysis of differentially expressed genes in the peripheral serum of ankylosing spondylitis patients.
Bie Y; Zheng X; Chen X; Liu X; Wang L; Sun Y; Kou J
J Orthop Surg Res; 2023 May; 18(1):394. PubMed ID: 37254181
[TBL] [Abstract][Full Text] [Related]
12. Identification of immune-infiltrated hub genes as potential biomarkers of Moyamoya disease by bioinformatics analysis.
Jin F; Duan C
Orphanet J Rare Dis; 2022 Feb; 17(1):80. PubMed ID: 35197088
[TBL] [Abstract][Full Text] [Related]
13. Integrative analyses of potential biomarkers and pathways for non-obstructive azoospermia.
Zhong Y; Chen X; Zhao J; Deng H; Li X; Xie Z; Zhou B; Xian Z; Li X; Luo G; Li H
Front Genet; 2022; 13():988047. PubMed ID: 36506310
[No Abstract] [Full Text] [Related]
14. Eleven genes associated with progression and prognosis of endometrial cancer (EC) identified by comprehensive bioinformatics analysis.
Liu J; Zhou S; Li S; Jiang Y; Wan Y; Ma X; Cheng W
Cancer Cell Int; 2019; 19():136. PubMed ID: 31139013
[TBL] [Abstract][Full Text] [Related]
15. PLCG2 and IFNAR1: The Potential Biomarkers Mediated by Immune Infiltration and Osteoclast Differentiation of Ankylosing Spondylitis in the Peripheral Blood.
Han B; Xie Q; Liang W; Yin P; Qu X; Hai Y
Mediators Inflamm; 2024; 2024():3358184. PubMed ID: 38223749
[TBL] [Abstract][Full Text] [Related]
16. Integrated Bioinformatics-Based Analysis of Hub Genes and the Mechanism of Immune Infiltration Associated With Acute Myocardial Infarction.
Wu Y; Jiang T; Hua J; Xiong Z; Chen H; Li L; Peng J; Xiong W
Front Cardiovasc Med; 2022; 9():831605. PubMed ID: 35463752
[TBL] [Abstract][Full Text] [Related]
17. Identification and analysis of mitochondria-related central genes in steroid-induced osteonecrosis of the femoral head, along with drug prediction.
Ma Z; Sun J; Jiang Q; Zhao Y; Jiang H; Sun P; Feng W
Front Endocrinol (Lausanne); 2024; 15():1341366. PubMed ID: 38384969
[TBL] [Abstract][Full Text] [Related]
18.
Zhang D; Li B; Guo R; Wu J; Yang C; Jiang X; Zhang C; Yan H; Zhao Q; Wang Z; Wang Q; Huang R; Zhang Z; Hu X; Gao L
Ann Transl Med; 2021 Jun; 9(12):1011. PubMed ID: 34277811
[TBL] [Abstract][Full Text] [Related]
19. A Predictive Disease Risk Model for Ankylosing Spondylitis: Based on Integrated Bioinformatic Analysis and Identification of Potential Biomarkers Most Related to Immunity.
Gao W; Hou R; Chen Y; Wang X; Liu G; Hu W; Yao K; Hao Y
Mediators Inflamm; 2023; 2023():3220235. PubMed ID: 37152368
[TBL] [Abstract][Full Text] [Related]
20. Screening of key biomarkers and immune infiltration in Pulmonary Arterial Hypertension via integrated bioinformatics analysis.
Zeng Y; Li N; Zheng Z; Chen R; Liu W; Cheng J; Zhu J; Zeng M; Peng M; Hong C
Bioengineered; 2021 Dec; 12(1):2576-2591. PubMed ID: 34233597
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
